Master Index Hub Overview
Welcome to the Convoluted Organization™ AI Ecosystem Reference Hub. Below are the 26 premier market-leading AI platforms, models, creative tools, and enterprise infrastructure services, fully color-coded by industry category.
ChatGPT (OpenAI) Frontier
The industry pioneer; best for general reasoning, text creation, and custom workflows.
Claude (Anthropic) Frontier
The top model for advanced coding logic, data analysis, and processing massive text documents.
Gemini (Google) Frontier
Deeply integrated with Google Search and Workspace; excels at real-time web processing.
Microsoft Copilot Frontier
Built natively into Windows and Office 365, serving as an enterprise productivity companion.
Microsoft Azure AI Studio Infra
The exclusive cloud provider for corporate-grade OpenAI models and developer APIs.
Google Vertex AI Infra
Google's enterprise platform for training, tuning, and deploying internal machine learning models.
AWS Bedrock (Amazon) Infra
A unified hub providing secure corporate access to Anthropic, Meta, and Mistral models.
GitHub Copilot Coding
The industry standard for real-time code auto-completion inside developer environments.
Cursor Coding
An AI-first code editor that allows developers to build entire software programs using natural language.
Devin (Cognition AI) Coding
The first autonomous AI software engineer capable of independently fixing bugs and deploying apps.
v0 (Vercel) Coding
A specialized interface engine that instantly generates production-ready front-end code from plain text instructions.
Midjourney Creative
The undisputed champion for generating hyper-realistic, artistic digital imagery.
DALL-E 3 (OpenAI) Creative
Built directly into ChatGPT, known for its extreme precision in following text instructions.
Flux (Black Forest Labs) Creative
The top open-weights image generator, famous for rendering flawless text and human hands.
Runway Gen-3 Creative
The professional standard for high-end text-to-video and cinematic video editing.
Kling AI Creative
A powerhouse video generator known for realistic physics, motion, and long video clips.
HeyGen Creative
The premier platform for generating ultra-realistic digital human avatars and seamless video localization.
ElevenLabs Creative
The definitive industry leader for lifelike AI voice generation, voice cloning, and audio dubbing.
Suno AI Creative
The dominant service for generating full-length, studio-quality musical tracks with custom vocals.
Perplexity AI Search
A conversational search engine that synthesizes live web data and provides fully cited answers.
NotebookLM (Google) Research
A research tool that turns your uploaded PDFs, articles, and data into automated audio discussions and summaries.
Fathom Productivity
The leading AI meeting assistant that automatically records, transcribes, and summarizes business calls.
Glean Search
An enterprise-grade AI engine that searches through a company's internal data silos (Slack, Google Drive, Jira) to find instant answers.
Harvey AI Industry
The premier AI assistant built specifically for top-tier law firms to handle legal research and contract drafting.
Abridge Industry
A clinical medical AI that listens to doctor-patient conversations and automatically drafts accurate medical charts.
Sierra Industry
The leading corporate platform for deploying autonomous, highly accurate AI customer service agents.
ChatGPT (OpenAI) Frontier
Technical Architecture & Overview
ChatGPT, developed by OpenAI, is built upon the GPT-4o and o1 reasoning model architectures. It features multimodal capabilities processing text, vision, and real-time audio, backed by Code Interpreter (Python execution sandbox), Web Search, Advanced Data Analysis, and Custom GPT workflows.
Primary Use Cases: General reasoning, complex problem solving, creative text generation, custom agentic workflows (GPTs), data analysis, and code synthesis.
Core Integration Endpoints: OpenAI REST API (Chat Completions, Assistants API v2, Embeddings, Realtime API via WebSockets), Python SDK, and Node.js SDK.
Exhaustive operational capability and API reference matrix for ChatGPT (OpenAI).
| # | Operation / Capability | API Endpoint / Prompt Syntax | Description |
|---|---|---|---|
| 1 | Chat Completion Request | POST /v1/chat/completions | Submits prompt payload with gpt-4o model. |
| 2 | Stream Chat Tokens | POST /v1/chat/completions -d '{"stream": true}' | Streams response tokens via Server-Sent Events (SSE). |
| 3 | Assistants API Create Thread | POST /v1/threads | Provisions thread context for persistent conversational state. |
| 4 | Assistants API Add Message | POST /v1/threads/{id}/messages | Appends user message to persistent Assistant thread. |
| 5 | Assistants API Run Agent | POST /v1/threads/{id}/runs | Executes assistant run with code interpreter and file search. |
| 6 | Create Embeddings | POST /v1/embeddings | Generates 1536-dim vector embeddings via text-embedding-3-small. |
| 7 | Realtime WebSocket Session | wss://api.openai.com/v1/realtime?model=gpt-4o-realtime-preview | Establishes low-latency bidirectional voice/text WebSocket. |
| 8 | Upload File for Code Interpreter | POST /v1/files -F 'purpose=assistants' | Uploads CSV/PDF payload for sandbox processing. |
| 9 | Define Function Call Tool | POST /v1/chat/completions -d '{"tools": [{"type": "function"}]}' | Supplies JSON Schema function definitions for structured output. |
| 10 | Enforce JSON Schema Output | POST /v1/chat/completions -d '{"response_format": {"type": "json_object"}}' | Enforces strict JSON schema formatted output. |
| 11 | Create Batch Job | POST /v1/batches | Submits asynchronous batch completions for 50% cost savings. |
| 12 | Check Batch Status | GET /v1/batches/{batch_id} | Inspects batch completion status and output file IDs. |
| 13 | List Fine-Tuning Jobs | GET /v1/fine_tuning/jobs | Lists custom model fine-tuning runs. |
| 14 | Create Fine-Tuning Job | POST /v1/fine_tuning/jobs | Initiates fine-tuning run on custom JSONL dataset. |
| 15 | Generate Image via DALL-E 3 | POST /v1/images/generations | Generates high-resolution images via DALL-E 3 API. |
| 16 | Text-to-Speech Generation | POST /v1/audio/speech | Synthesizes lifelike audio via tts-1-hd model. |
| 17 | Whisper Audio Transcription | POST /v1/audio/transcriptions | Transcribes speech audio file to text via Whisper. |
| 18 | Whisper Audio Translation | POST /v1/audio/translations | Translates non-English audio file into English text. |
| 19 | List Available Models | GET /v1/models | Lists all accessible OpenAI model IDs. |
| 20 | Retrieve Model Info | GET /v1/models/{model} | Inspects model creation timestamp and ownership. |
| 21 | Delete Fine-Tuned Model | DELETE /v1/models/{custom_model_id} | Deletes custom fine-tuned model artifact. |
| 22 | Cancel Assistant Run | POST /v1/threads/{thread_id}/runs/{run_id}/cancel | Aborts running Assistant execution. |
| 23 | Submit Tool Outputs | POST /v1/threads/{thread_id}/runs/{run_id}/submit_tool_outputs | Provides function execution results back to Assistant. |
| 24 | Create Custom GPT | https://chatgpt.com/gpts/editor | Provisions custom GPT with system instructions and Actions. |
| 25 | Configure GPT Action OpenAPI | POST /gpts/actions/openapi.json | Binds REST API schema to Custom GPT Action. |
| 26 | Set System Instructions Prompt | system: You are an expert enterprise data architect. | Configures system persona and operational constraints. |
| 27 | Set Seed for Deterministic Output | POST /v1/chat/completions -d '{"seed": 42}' | Enforces deterministic token sampling across runs. |
| 28 | Set Temperature Parameter | POST /v1/chat/completions -d '{"temperature": 0.2}' | Reduces sampling variance for analytical outputs. |
| 29 | Set Max Tokens Parameter | POST /v1/chat/completions -d '{"max_tokens": 4096}' | Caps maximum output generation length. |
| 30 | Check OpenAI API Status | curl https://status.openai.com/api/v2/status.json | Queries HTTP REST endpoint for platform operational status. |
Claude (Anthropic) Frontier
Technical Architecture & Overview
Claude, developed by Anthropic, is powered by the Claude 3.5 Sonnet, Claude 3.5 Haiku, and Claude 3 Opus model family. Featuring an industry-leading 200,000-token context window, Constitutional AI alignment, vision processing, and native Computer Use capabilities, Claude excels at complex reasoning and code generation.
Primary Use Cases: Advanced software engineering, multi-file codebase reasoning, processing massive PDF contracts/documents, data analysis (Artifacts), and autonomous computer desktop control.
Core Integration Endpoints: Anthropic Messages API, Python SDK (`anthropic`), TypeScript SDK, and AWS Bedrock / GCP Vertex AI host connectors.
Exhaustive operational capability and API reference matrix for Claude (Anthropic).
| # | Operation / Capability | Messages API / Prompt Syntax | Description |
|---|---|---|---|
| 1 | Submit Messages Request | POST /v1/messages | Submits prompt payload to claude-3-5-sonnet-20241022. |
| 2 | Stream Message Tokens | POST /v1/messages -d '{"stream": true}' | Streams token chunks via Server-Sent Events (SSE). |
| 3 | Define Tool Use (Function Calling) | POST /v1/messages -d '{"tools": [{"name": "get_weather"}]}' | Supplies JSON Schema tool definitions. |
| 4 | Enable Computer Use Tool | POST /v1/messages -d '{"tools": [{"type": "computer_20241022"}]}' | Enables OS desktop mouse, keyboard, and screen capture control. |
| 5 | Enable Prompt Caching | POST /v1/messages -H 'anthropic-beta: prompt-caching-2024-07-31' | Caches large system prompts/documents for 90% cost reduction. |
| 6 | Process Multimodal Image | POST /v1/messages -d '{"content": [{"type": "image", "source": ...}]}' | Submits base64 image for visual analysis. |
| 7 | Submit System Prompt | POST /v1/messages -d '{"system": "You are a senior staff engineer."}' | Applies global system instructions. |
| 8 | Set Temperature Parameter | POST /v1/messages -d '{"temperature": 0.0}' | Enforces zero variance for deterministic code generation. |
| 9 | Set Max Tokens Parameter | POST /v1/messages -d '{"max_tokens": 8192}' | Sets maximum output token generation budget. |
| 10 | Submit Prefill Assistant Message | POST /v1/messages -d '{"messages": [..., {"role": "assistant", "content": "{"}]}' | Prefills assistant response start to enforce JSON formatting. |
| 11 | Count Tokens Prior to Request | POST /v1/messages/count_tokens | Calculates exact token count for large context payloads. |
| 12 | Process 200k Token Document | POST /v1/messages -d '{"content": [{"type": "text", "text": "<doc>..."}]}' | Ingests entire 200k-token PDF book or codebase. |
| 13 | Use Claude Artifacts Interface | https://claude.ai/artifacts | Renders dynamic React code, SVG graphics, and interactive dashboards. |
| 14 | Create Project Context Sandbox | https://claude.ai/projects | Uploads persistent codebase context and custom style guides. |
| 15 | Anthropic Python Client Init | client = anthropic.Anthropic(api_key=os.environ['ANTHROPIC_API_KEY']) | Initializes Python SDK client instance. |
| 16 | Anthropic Async Python Client Init | client = anthropic.AsyncAnthropic() | Initializes asynchronous Python SDK client. |
| 17 | Anthropic TypeScript Client Init | const anthropic = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY }); | Initializes TypeScript SDK client. |
| 18 | Set Thinking Budget (Claude 3.7) | POST /v1/messages -d '{"thinking": {"type": "enabled", "budget_tokens": 2048}}' | Allocates explicit reasoning tokens for complex math/code. |
| 19 | Structured Output Citation | POST /v1/messages -d '{"citations": {"enabled": true}}' | Enforces inline document citations for claims. |
| 20 | Check API Rate Limit Headers | GET /v1/messages (inspect response headers) | Monitors anthropic-ratelimit-requests-remaining. |
| 21 | Handle Rate Limit Retry | from anthropic import RateLimitError | Catches rate limit exceptions with exponential backoff. |
| 22 | Batch Messages Processing | POST /v1/messages/batches | Submits asynchronous batch jobs for 50% price discount. |
| 23 | Retrieve Batch Job Status | GET /v1/messages/batches/{batch_id} | Inspects progress of batch processing run. |
| 24 | Cancel Batch Job | POST /v1/messages/batches/{batch_id}/cancel | Cancels pending batch processing job. |
| 25 | List Active Batches | GET /v1/messages/batches | Lists all batch message requests. |
| 26 | AWS Bedrock Claude Endpoint | POST /model/anthropic.claude-3-5-sonnet-20241022-v2:0/invoke | Calls Claude 3.5 Sonnet on AWS Bedrock. |
| 27 | GCP Vertex AI Claude Endpoint | POST /v1/projects/{proj}/locations/us-central1/publishers/anthropic/models/claude-3-5-sonnet:streamRawPredict | Calls Claude on Google Cloud Vertex AI. |
| 28 | Set Stop Sequences | POST /v1/messages -d '{"stop_sequences": ["\n\nHuman:"]}' | Configures custom generation termination strings. |
| 29 | Check Anthropic Platform Status | curl https://status.anthropic.com/api/v2/status.json | Queries HTTP status endpoint for Anthropic API health. |
| 30 | Anthropic SDK Version Check | import anthropic; print(anthropic.__version__) | Outputs running Anthropic Python SDK version. |
Gemini (Google) Frontier
Technical Architecture & Overview
Gemini, developed by Google DeepMind, is a natively multimodal model family (Gemini 1.5 Pro, Gemini 1.5 Flash, Gemini 2.0 Flash) featuring an unprecedented 2,000,000-token context window. Built from the ground up to process text, audio, video, code, and images natively, it powers Google Workspace, Google Search, and Vertex AI.
Primary Use Cases: Processing hour-long video files and audio recordings, 2M token codebase reasoning, real-time web grounding via Google Search, and Google Workspace automation.
Core Integration Endpoints: Google GenAI SDK (`google-genai`), Gemini Developer API, Vertex AI API, and Google Workspace Add-ons.
Exhaustive operational capability and API reference matrix for Gemini (Google).
| # | Operation / Capability | GenAI SDK / REST Syntax | Description |
|---|---|---|---|
| 1 | Generate Content Request | client.models.generate_content(model='gemini-2.0-flash', contents='...') | Submits prompt payload to Gemini 2.0 Flash. |
| 2 | Stream Content Response | client.models.generate_content_stream(model='gemini-2.0-flash', contents='...') | Streams generated tokens in real time. |
| 3 | Enable Google Search Grounding | types.GenerateContentConfig(tools=[{"google_search": {}}]) | Grounds responses with live Google Search data and URLs. |
| 4 | Process 2M Token Video File | client.files.upload(file=path_to_video) | Uploads 1-hour 1080p video file for native multimodal analysis. |
| 5 | Process Hour-Long Audio File | client.files.upload(file=path_to_audio) | Uploads 1-hour MP3/WAV file for direct audio reasoning. |
| 6 | Process Full Repository Codebase | client.files.upload(file=path_to_zip) | Ingests entire 2-million token software repository. |
| 7 | Enforce JSON Schema Response | types.GenerateContentConfig(response_mime_type='application/json', response_schema=UserSchema) | Enforces strict Pydantic/JSON schema. |
| 8 | Define Function Calling Tool | types.GenerateContentConfig(tools=[my_python_function]) | Supplies Python functions directly as executable tools. |
| 9 | System Instructions Config | types.GenerateContentConfig(system_instruction='You are an AI research assistant.') | Applies global system persona and constraints. |
| 10 | Set Safety Settings | types.GenerateContentConfig(safety_settings=[...]) | Configures threshold levels for content safety categories. |
| 11 | Set Temperature Parameter | types.GenerateContentConfig(temperature=0.2) | Controls randomness and creativity variance. |
| 12 | Set Thinking Budget (Gemini 2.0 Flash Thinking) | client.models.generate_content(model='gemini-2.0-flash-thinking-exp', ...) | Allocates explicit reasoning tokens for complex tasks. |
| 13 | Create Text Embedding | client.models.embed_content(model='text-embedding-004', contents='...') | Generates 768-dim vector embeddings. |
| 14 | Batch Embeddings Request | client.models.embed_content(model='text-embedding-004', contents=['...', '...']) | Generates embeddings for array of text strings. |
| 15 | Context Caching Creation | client.caches.create(model='gemini-1.5-pro', config=types.CreateCachedContentConfig(ttl='3600s', contents=large_doc)) | Caches large documents in memory for 1 hour. |
| 16 | Query Context Cache | client.models.generate_content(model='gemini-1.5-pro', config=types.GenerateContentConfig(cached_content=cache.name), contents='...') | Queries cached 1M+ token document with low latency. |
| 17 | Delete Context Cache | client.caches.delete(name=cache.name) | Purges cached document from memory. |
| 18 | List Files Uploaded | client.files.list() | Lists files stored in File API storage. |
| 19 | Get File Metadata | client.files.get(name=file.name) | Inspects processing state of uploaded video/audio file. |
| 20 | Delete Uploaded File | client.files.delete(name=file.name) | Purges file from File API storage. |
| 21 | Integrate with Google Docs | https://docs.google.com -> @Gemini | Drafts, summarizes, and edits text inside Google Docs. |
| 22 | Integrate with Google Sheets | https://sheets.google.com -> @Gemini | Generates formulas, tables, and data categorizations. |
| 23 | Integrate with Gmail | https://mail.google.com -> @Gemini | Drafts replies and synthesizes email thread summaries. |
| 24 | Integrate with Google Drive | https://drive.google.com -> @Gemini | Searches and synthesizes insights across Drive files. |
| 25 | Tune Custom Gemini Model | client.tunning.tune_model(...) | Initiates fine-tuning run on custom dataset in Vertex AI. |
| 26 | Check Tuning Job Progress | client.tunning.get_tuned_model(...) | Inspects fine-tuning training loss metrics. |
| 27 | Count Tokens in Prompt | client.models.count_tokens(model='gemini-2.0-flash', contents='...') | Calculates exact token count before submission. |
| 28 | Gemini Live Multimodal WebSockets | wss://generativelanguage.googleapis.com/ws/google.ai.generativelanguage.v1alpha.GenerativeService.BidiGenerateContent | Establishes ultra-low latency voice/video streaming WebSocket. |
| 29 | Check Gemini API Status | curl https://status.cloud.google.com/ | Queries Google Cloud service status page. |
| 30 | Google GenAI SDK Version | import google.genai; print(google.genai.__version__) | Outputs running Google GenAI Python SDK version. |
Microsoft Copilot Frontier
Technical Architecture & Overview
Microsoft Copilot is an enterprise AI productivity companion integrated deeply into Windows 11, Microsoft 365 (Word, Excel, PowerPoint, Outlook, Teams), and Azure. Powered by OpenAI's GPT-4o models combined with Microsoft Graph, it provides enterprise-grade data security and compliance (Commercial Data Protection).
Primary Use Cases: Corporate document generation in Word, spreadsheet analysis in Excel, presentation generation in PowerPoint, email synthesis in Outlook, and meeting recaps in Teams.
Core Components: Microsoft Graph API, Copilot Studio (custom bot builder), Microsoft 365 App Integrations, and Azure OpenAI Service backend.
Exhaustive operational capability and API reference matrix for Microsoft Copilot.
| # | Operation / Capability | Microsoft Graph / Copilot Studio Syntax | Description |
|---|---|---|---|
| 1 | Copilot Studio Create Agent | https://copilotstudio.microsoft.com -> New Agent | Provisions custom autonomous enterprise Copilot agent. |
| 2 | Bind Knowledge Source (SharePoint) | POST /copilot/agents/{id}/knowledgeSources (SharePoint URL) | Connects enterprise SharePoint library to Copilot. |
| 3 | Bind Knowledge Source (OneDrive) | POST /copilot/agents/{id}/knowledgeSources (OneDrive URL) | Connects OneDrive folder structure to Copilot agent. |
| 4 | Publish Agent to Teams | POST /copilot/agents/{id}/publish?target=msteams | Deploys custom Copilot agent to Microsoft Teams channel. |
| 5 | Publish Agent to Web Site | POST /copilot/agents/{id}/publish?target=web | Generates web widget embed snippet for custom agent. |
| 6 | Microsoft Graph Search API | POST /v1.0/search/query | Queries Microsoft Graph across emails, files, and chats. |
| 7 | Copilot in Word - Draft Document | Word Ribbon -> Copilot -> Draft with Copilot | Generates 5-page report based on notes or files. |
| 8 | Copilot in Excel - Analyze Data | Excel Ribbon -> Copilot -> Analyze & Visualize | Generates Python/Excel formulas and pivot charts. |
| 9 | Copilot in PowerPoint - Create Deck | PowerPoint Ribbon -> Copilot -> Create deck from file | Generates complete branded presentation deck from Word doc. |
| 10 | Copilot in Outlook - Summarize Thread | Outlook -> Summarize by Copilot | Synthesizes key action items from 20-email thread. |
| 11 | Copilot in Teams - Recapt Meeting | Teams Meeting -> Copilot -> Recount decisions & action items | Provides real-time transcript analysis during meeting. |
| 12 | Copilot Pages Collaboration | https://copilot.microsoft.com/pages | Creates multiplayer canvas for editing AI-generated content. |
| 13 | Set Commercial Data Protection | https://admin.microsoft.com -> Security & Privacy -> Commercial Data Protection | Enforces strict tenant data isolation (no AI training on prompts). |
| 14 | Microsoft Graph API PowerShell Init | Connect-MgGraph -Scopes 'User.Read.All', 'Files.Read.All' | Authenticates PowerShell session to Microsoft Graph. |
| 15 | Fetch User OneDrive Files | Get-MgUserDriveItem -UserId 'user@org.com' | Retrieves file metadata from user OneDrive via Graph. |
| 16 | Fetch Teams Meeting Transcripts | GET /v1.0/me/onlineMeetings/{id}/transcripts | Downloads full meeting transcript text via Graph API. |
| 17 | Create Custom Power Automate Flow | Power Automate -> Trigger: Copilot Agent -> Action: Send Email | Triggers automated enterprise workflow from Copilot prompt. |
| 18 | Configure Copilot Plugin (OpenAPI) | POST /copilot/plugins -d '{"schema": "openapi.yaml"}' | Registers custom REST API plugin for Copilot Studio. |
| 19 | Set Web Search Toggle | Copilot Studio -> Settings -> Allow Web Search | Enables live Bing search web grounding for agent. |
| 20 | Check Copilot Tenant Analytics | https://admin.microsoft.com -> Usage -> Copilot M365 | Monitors enterprise license adoption and usage metrics. |
| 21 | Windows 11 Copilot Shortcut | Win + C (or Win + Key) | Launches native OS Copilot companion panel. |
| 22 | Copilot Code Execution in Excel | Excel -> Copilot -> Run Advanced Data Analysis | Executes Python code in cloud sandbox to plot trendlines. |
| 23 | Copilot Security (Security Copilot) | https://securitycopilot.microsoft.com | Synthesizes threat intelligence and incident response logs. |
| 24 | Security Copilot - Summarize Incident | POST /security/incidents/{id}/summarize | Generates executive incident summary from Defender alerts. |
| 25 | Security Copilot - Analyze Reverse Script | POST /security/scripts/analyze | Explains obfuscated PowerShell/Bash malware script. |
| 26 | Check M365 Copilot Service Health | https://admin.microsoft.com -> Health -> Service health | Monitors Microsoft 365 Copilot endpoint uptime. |
| 27 | Configure DLP Policies for Copilot | https://purview.microsoft.com -> Data Loss Prevention | Prevents Copilot from answering queries using sensitive labeled files. |
| 28 | Audit Copilot User Prompts | https://purview.microsoft.com -> Audit -> Search Copilot events | Audit logs all Copilot user prompts and response metadata. |
| 29 | Set Sensitivity Label Grounding Filters | Purview -> Sensitivity Labels -> Block AI Access | Restricts Copilot from accessing Confidential labeled documents. |
| 30 | Check Microsoft Graph PowerShell Version | Get-Module -Name Microsoft.Graph | Outputs installed Microsoft Graph PowerShell module version. |
Microsoft Azure AI Studio Infra
Technical Architecture & Overview
Azure AI Studio is Microsoft's enterprise platform for building, evaluating, and deploying generative AI applications and custom copilots. It offers exclusive access to Azure OpenAI Service (GPT-4o, o1, DALL-E 3), Model Catalog (Meta Llama 3, Mistral, Phi-3), Azure AI Search (vector RAG), and Content Safety guardrails with enterprise VNet isolation.
Primary Use Cases: Corporate-grade Azure OpenAI API deployments, enterprise RAG search engines (Azure AI Search), LLM evaluation benchmarks, and fine-tuning custom models in private virtual networks.
Core Components: Azure OpenAI Service, Azure AI Search (Hybrid Vector/BM25), Azure AI Content Safety, Prompt Flow (DAG orchestration), and Azure Machine Learning Workspace.
Exhaustive operational capability and API reference matrix for Microsoft Azure AI Studio.
| # | Operation / Capability | Azure CLI / REST Syntax | Description |
|---|---|---|---|
| 1 | Provision Azure OpenAI Resource | az cognitiveservices account create --name my-aoai --resource-group my-rg --kind OpenAI --sku S0 --location eastus | Provisions managed Azure OpenAI resource. |
| 2 | Deploy GPT-4o Model Instance | az cognitiveservices account deployment create --name my-aoai --resource-group my-rg --deployment-name gpt-4o-prod --model-name gpt-4o --model-version '2024-05-13' --model-format OpenAI --sku-name 'Standard' --sku-capacity 10 | Deploys model with 10k TPM capacity. |
| 3 | Deploy Provisioned Throughput (PTU) | az cognitiveservices account deployment create ... --sku-name 'ProvisionedManaged' --sku-capacity 100 | Allocates guaranteed zero-throttling PTU capacity. |
| 4 | Azure OpenAI Rest Endpoint Call | POST https://my-aoai.openai.azure.com/openai/deployments/gpt-4o-prod/chat/completions?api-version=2024-06-01 | Submits chat completion request to private deployment. |
| 5 | Create Azure AI Search Index | POST https://my-search.search.windows.net/indexes?api-version=2024-07-01 | Provisions hybrid vector + BM25 search index. |
| 6 | Create Vector Search Profile | POST /indexes -d '{"vectorSearch": {"algorithms": [{"name": "hnsw-config", "kind": "hnsw"}]}}' | Configures HNSW vector similarity algorithm. |
| 7 | Execute Hybrid Vector Search | POST https://my-search.search.windows.net/indexes/my-index/docs/search?api-version=2024-07-01 | Executes combined vector + full-text search with RRF reranking. |
| 8 | Enable Semantic Ranker | POST /docs/search -d '{"queryType": "semantic", "semanticConfiguration": "my-semantic-config"}' | Applies deep-learning semantic reranker. |
| 9 | Create Content Safety Filter | az cognitiveservices account create ... --kind ContentSafety | Provisions real-time text/image safety guardrail. |
| 10 | Analyze Text Harm Categories | POST https://my-safety.cognitiveservices.azure.com/contentsafety/text:analyze?api-version=2024-09-01 | Scores prompt for Hate, Sexual, Violence, and SelfHarm. |
| 11 | Detect Prompt Injection Attacks | POST https://my-safety.cognitiveservices.azure.com/contentsafety/text:shieldPrompt?api-version=2024-09-01 | Detects jailbreak and prompt injection attempts. |
| 12 | Detect Protected Material (Code/Text) | POST https://my-safety.cognitiveservices.azure.com/contentsafety/text:detectProtectedMaterial?api-version=2024-09-01 | Scans generated text for copyrighted code or text. |
| 13 | Create Prompt Flow DAG | az ml flow create --f flow.dag.yaml --resource-group my-rg --workspace-name my-ai-workspace | Deploys LLM orchestration workflow. |
| 14 | Run Offline Evaluation Benchmark | az ml job create --file eval_job.yaml | Evaluates model output for Groundedness, Relevance, and Coherence. |
| 15 | Set Private Endpoint VNet Isolation | az network private-endpoint create --name pe-aoai --resource-group my-rg --vnet-name my-vnet --subnet default --private-connection-resource-id ... | Enforces private VNet connectivity. |
| 16 | Disable Public Network Access | az cognitiveservices account update --name my-aoai --resource-group my-rg --public-network-access Disabled | Blocks all public internet access to Azure OpenAI. |
| 17 | Configure Managed Identity Auth | az cognitiveservices account update --name my-aoai --resource-group my-rg --assign-identity | Enables Azure AD System-Assigned Managed Identity. |
| 18 | Grant Cognitive Services User Role | az role assignment create --assignee {sp-id} --role 'Cognitive Services OpenAI User' --scope {resource-id} | Grants Azure AD role access to deployment. |
| 19 | List Model Catalog Assets | az ml model list --registry-name azureml | Lists Meta Llama 3, Mistral, and Phi-3 models in catalog. |
| 20 | Deploy Serverless Model API (Pay-as-you-go) | az ml online-deployment create --file llama3-deploy.yaml | Deploys Llama 3 as serverless pay-per-token API. |
| 21 | Check Provisioned Throughput Usage | az cognitiveservices account deployment show ... | Monitors active PTU utilization percentage. |
| 22 | Configure Diagnostic Settings Logs | az monitor diagnostic-settings create --name aoai-logs --resource {id} --logs '[{"category":"RequestResponse","enabled":true}]' --workspace {law-id} | Streams full prompt/response logs to Log Analytics. |
| 23 | Create Fine-Tuning Dataset | az ml data create --name ft-data --path ./train.jsonl | Registers training dataset for Azure OpenAI fine-tuning. |
| 24 | Start Fine-Tuning Job | az cognitiveservices account deployment create ... --fine-tune | Initiates custom fine-tuning job on GPT-4o. |
| 25 | Check Fine-Tuning Job Status | az cognitiveservices account show ... | Monitors training loss and validation metrics. |
| 26 | Set Customer Managed Key (CMK) | az cognitiveservices account update --name my-aoai --key-vault-key-identifier https://kv.vault.azure.net/keys/k1 | Enforces Key Vault CMK storage encryption. |
| 27 | Check Azure AI Service Health | az monitor activity-log list --resource-group my-rg | Inspects service operations and health logs. |
| 28 | Azure OpenAI Python SDK Init | from openai import AzureOpenAI; client = AzureOpenAI(azure_endpoint='...', api_key='...') | Initializes Python AzureOpenAI client. |
| 29 | Check Azure CLI ML Extension Version | az extension show --name ml | Outputs installed Azure CLI Machine Learning extension version. |
| 30 | Check Azure AI API Ping | curl https://my-aoai.openai.azure.com/status | Queries REST health endpoint. |
Google Vertex AI Infra
Technical Architecture & Overview
Google Vertex AI is Google Cloud's enterprise AI platform that unifies MLOps, model training, custom tuning, and foundation model APIs (Gemini 1.5/2.0, Imagen 3, Codey, Chirp). Integrated with BigQuery and Google Cloud Storage, it provides enterprise VPC Service Controls, CMEK encryption, and automated pipelines.
Primary Use Cases: Enterprise Gemini API deployments, custom model training on TPU/GPU clusters, Feature Store management, MLOps pipeline automation, and Agent Builder deployment.
Core Components: Model Garden, Vertex AI Agent Builder, Vertex AI Search & Conversation, Vertex AI Pipelines (Kubeflow), Feature Store, and Model Monitoring.
Exhaustive operational capability and API reference matrix for Google Vertex AI.
| # | Operation / Capability | gcloud CLI / Python SDK Syntax | Description |
|---|---|---|---|
| 1 | Initialize Vertex AI SDK | aiplatform.init(project='my-project', location='us-central1') | Initializes Python Vertex AI SDK context. |
| 2 | Predict with Gemini Model | model = GenerativeModel('gemini-1.5-pro'); response = model.generate_content('...') | Executes prediction via Vertex Gemini endpoint. |
| 3 | Stream Gemini Response | response = model.generate_content('...', stream=True) | Streams response tokens in real time. |
| 4 | Create Vertex AI Search Datastore | gcloud discoveryengine data-stores create my-ds --display-name='Enterprise Docs' --industry-vertical=GENERIC | Provisions enterprise RAG datastore. |
| 5 | Import Documents to Datastore | gcloud discoveryengine data-stores branch import-documents --data-store=my-ds --gcs-uri='gs://my-bucket/*.pdf' | Bulk ingests PDF files from GCS. |
| 6 | Create Vertex AI Agent | gcloud discoveryengine engines create my-agent --data-store=my-ds --engine-type=CHAT | Provisions conversational RAG agent. |
| 7 | Query Vertex AI Agent | POST https://discoveryengine.googleapis.com/v1/projects/{proj}/locations/global/collections/default_collection/engines/my-agent:converse | Queries custom agent. |
| 8 | Create Endpoint for Custom Model | endpoint = aiplatform.Endpoint.create(display_name='my-custom-endpoint') | Provisions private model serving endpoint. |
| 9 | Deploy Custom Model to Endpoint | model.deploy(endpoint=endpoint, machine_type='g2-standard-8', accelerator_type='NVIDIA_L4', accelerator_count=1) | Deploys custom container to GPU node. |
| 10 | Scale Endpoint Instances | endpoint.update(min_replica_count=2, max_replica_count=10) | Configures autoscaling compute replica limits. |
| 11 | Undeploy Model from Endpoint | endpoint.undeploy_all() | Removes all deployed model containers from endpoint. |
| 12 | Delete Endpoint | endpoint.delete() | Deletes empty serving endpoint resource. |
| 13 | Create Vertex AI Pipeline | job = aiplatform.PipelineJob(display_name='etl-train-pipeline', template_path='pipeline.yaml') | Provisions Kubeflow MLOps pipeline. |
| 14 | Run Vertex AI Pipeline | job.run(sync=False) | Triggers background pipeline execution. |
| 15 | Create Feature Store | featurestore = aiplatform.Featurestore.create(featurestore_id='users_fs', online_store_fixed_node_count=1) | Provisions enterprise feature store. |
| 16 | Create Feature View | fs.create_feature_view(name='user_embeddings', ...) | Provisions online low-latency feature lookup view. |
| 17 | Read Online Features | featurestore.read_feature_values(entity_type_id='users', entity_ids=['u123']) | Fetches low-latency features for real-time inference. |
| 18 | Tune Gemini Model (Supervised) | job = sft.train(source_model='gemini-1.5-flash', train_dataset='gs://my-bucket/train.jsonl') | Initiates supervised fine-tuning run on Gemini. |
| 19 | Tune Model (RLHF) | job = rlhf.train(source_model='gemini-1.5-flash', prompt_dataset='gs://my-bucket/prompts.jsonl') | Initiates Reinforcement Learning from Human Feedback tuning. |
| 20 | Create Imagen 3 Image | model = ImageGenerationModel.from_pretrained('imagen-3.0-generate-001'); response = model.generate_images('...') | Generates high-res image via Imagen 3. |
| 21 | Configure VPC Service Controls | gcloud access-context-manager perimeters update my-perimeter --add-resources='projects/12345' | Enforces strict private network perimeter. |
| 22 | Configure CMEK Key | aiplatform.init(encryption_spec_key_name='projects/p/locations/l/keyRings/k/cryptoKeys/k1') | Enforces customer-managed encryption key. |
| 23 | Create Model Monitoring Job | job = aiplatform.ModelMonitor.create(endpoint=endpoint, alert_emails=['admin@org.com']) | Monitors feature drift and prediction skew. |
| 24 | List Model Garden Asset IDs | gcloud ai models list --location=us-central1 | Lists Llama 3, Claude, and Gemini models in Model Garden. |
| 25 | Deploy Llama 3 from Model Garden | gcloud ai endpoints deploy-model ... | Deploys open-weights Llama 3 model to GPU cluster. |
| 26 | Check Vertex AI Quota Usage | gcloud alpha services quota list --service=aiplatform.googleapis.com | Inspects GPU, TPU, and API quota limits. |
| 27 | Set User IAM Role Vertex Admin | gcloud projects add-iam-policy-binding my-proj --member='user:admin@org.com' --role='roles/aiplatform.admin' | Grants Vertex AI Admin permissions. |
| 28 | Set User IAM Role Vertex User | gcloud projects add-iam-policy-binding my-proj --member='user:dev@org.com' --role='roles/aiplatform.user' | Grants Vertex AI User inference permissions. |
| 29 | Check Vertex AI API Status | curl https://status.cloud.google.com/ | Queries Google Cloud health status page. |
| 30 | Check Vertex AI SDK Version | import google.cloud.aiplatform; print(google.cloud.aiplatform.__version__) | Outputs running Vertex AI Python SDK version. |
AWS Bedrock (Amazon) Infra
Technical Architecture & Overview
AWS Bedrock is a fully managed Amazon Web Services platform that offers high-performance foundation models from leading AI startups and Amazon (Anthropic Claude, Meta Llama 3, Mistral AI, Cohere, Stability AI, Amazon Titan) via a single unified API with serverless infrastructure and native AWS PrivateLink / KMS security.
Primary Use Cases: Unified multi-model enterprise routing, Knowledge Bases for Amazon Bedrock (RAG), Agents for Amazon Bedrock (autonomous task execution), and Guardrails for Amazon Bedrock (responsible AI filtering).
Core Components: Bedrock Runtime API, Knowledge Bases (OpenSearch Serverless RAG), Agents for Bedrock, Guardrails for Bedrock, and Model Evaluation.
Exhaustive operational capability and API reference matrix for AWS Bedrock (Amazon).
| # | Operation / Capability | AWS CLI / Boto3 Syntax | Description |
|---|---|---|---|
| 1 | Invoke Claude 3.5 Sonnet | aws bedrock-runtime invoke-model --model-id anthropic.claude-3-5-sonnet-20241022-v2:0 --body '{"anthropic_version":"bedrock-2023-05-31","max_tokens":1024,"messages":[{"role":"user","content":"..."}]}' output.json | Invokes Claude 3.5 Sonnet on Bedrock. |
| 2 | Stream Model Output Tokens | aws bedrock-runtime invoke-model-with-response-stream --model-id anthropic.claude-3-5-sonnet-20241022-v2:0 --body '...' output_stream.bytes | Streams response tokens in real time. |
| 3 | Invoke Llama 3.1 70B | aws bedrock-runtime invoke-model --model-id meta.llama3-1-70b-instruct-v1:0 --body '{"prompt":"...","max_gen_len":512}' output.json | Invokes Meta Llama 3.1 on Bedrock. |
| 4 | Invoke Mistral Large | aws bedrock-runtime invoke-model --model-id mistral.mistral-large-2407-v1:0 --body '{"prompt":"..."}' output.json | Invokes Mistral Large on Bedrock. |
| 5 | Invoke Amazon Titan Embeddings | aws bedrock-runtime invoke-model --model-id amazon.titan-embed-text-v2:0 --body '{"inputText":"..."}' output.json | Generates vector embeddings via Titan Embeddings v2. |
| 6 | Create Bedrock Knowledge Base | aws bedrock-agent create-knowledge-base --name my-kb --role-arn arn:aws:iam::... --knowledge-base-configuration '{"type":"VECTOR","vectorKnowledgeBaseConfiguration":{"embeddingModelArn":"arn:aws:bedrock:..."}}' | Provisions RAG knowledge base. |
| 7 | Sync Knowledge Base DataSource | aws bedrock-agent start-ingestion-job --knowledge-base-id KB123456 --data-source-id DS123456 | Triggers S3 document chunking and vector indexing. |
| 8 | Retrieve & Generate KB Query | aws bedrock-agent-runtime retrieve-and-generate --input '{"text":"..."}' --retrieve-and-generate-configuration '{"type":"KNOWLEDGE_BASE","knowledgeBaseConfiguration":{"knowledgeBaseId":"KB123456","modelArn":"..."}}' | Executes end-to-end RAG query. |
| 9 | Create Bedrock Agent | aws bedrock-agent create-agent --agent-name my-agent --agent-resource-role-arn arn:aws:iam::... --foundation-model anthropic.claude-3-5-sonnet-20241022-v2:0 | Provisions autonomous task execution agent. |
| 10 | Associate Agent Action Group | aws bedrock-agent create-agent-action-group --agent-id AGENT123 --agent-version DRAFT --action-group-name LambdaActions --api-schema '{"s3":{...}}' | Binds OpenAPI schema and Lambda to Agent. |
| 11 | Prepare & Build Agent | aws bedrock-agent prepare-agent --agent-id AGENT123 | Compiles agent prompt templates and action groups. |
| 12 | Invoke Bedrock Agent | aws bedrock-agent-runtime invoke-agent --agent-id AGENT123 --agent-alias-id ALIAS123 --session-id SESS123 --input-text '...' | Executes agent workflow. |
| 13 | Create Guardrail | aws bedrock create-guardrail --name my-guardrail --content-policy-config '{"filters":[{"type":"HATE","inputStrength":"HIGH","outputStrength":"HIGH"}]}' | Provisions safety guardrail for content filtering. |
| 14 | Create Guardrail Sensitive Data Policy | aws bedrock create-guardrail ... --sensitive-information-policy-config '{"piiEntitiesConfig":[{"type":"EMAIL","action":"BLOCK"}]}' | Blocks PII leaks in responses. |
| 15 | Apply Guardrail to Model Call | aws bedrock-runtime invoke-model --guardrail-identifier g12345 --guardrail-version 1 ... | Enforces guardrail on model execution. |
| 16 | Create Provisioned Model Throughput | aws bedrock create-provisioned-model-throughput --model-units 1 --provisioned-model-name my-ptu --model-id anthropic.claude-3-5-sonnet-20241022-v2:0 | Allocates dedicated model throughput. |
| 17 | Create Custom Model Fine-Tuning | aws bedrock create-model-customization-job --job-name my-job --custom-model-name my-titan-custom --role-arn arn:aws:iam::... --base-model-id amazon.titan-text-express-v1 --training-data-config '{"s3Uri":"s3://bucket/train.jsonl"}' | Initiates fine-tuning run. |
| 18 | Check Model Customization Status | aws bedrock get-model-customization-job --job-identifier my-job | Monitors fine-tuning progress and loss metrics. |
| 19 | List Foundation Models | aws bedrock list-foundation-models | Lists all available model IDs in Bedrock region. |
| 20 | Get Foundation Model Details | aws bedrock get-foundation-model --model-identifier anthropic.claude-3-5-sonnet-20241022-v2:0 | Inspects model context limits and modalities. |
| 21 | Request Model Access | aws bedrock put-model-invocation-logging-configuration --logging-config '{"s3Config":{"bucketName":"my-logs"}}' | Configures S3 logging for audit compliance. |
| 22 | Set VPC PrivateLink Endpoint | aws ec2 create-vpc-endpoint --service-name com.amazonaws.us-east-1.bedrock-runtime --vpc-id vpc-12345 | Enforces private VPC connectivity to Bedrock Runtime. |
| 23 | Set KMS Key Encryption | aws bedrock create-knowledge-base ... --kms-key-arn arn:aws:kms:... | Enforces KMS storage encryption on Knowledge Base. |
| 24 | Boto3 Bedrock Runtime Client Init | import boto3; client = boto3.client('bedrock-runtime', region_name='us-east-1') | Initializes Boto3 SDK client. |
| 25 | Boto3 Bedrock Agent Runtime Init | client = boto3.client('bedrock-agent-runtime', region_name='us-east-1') | Initializes Boto3 Agent client. |
| 26 | Check Bedrock Model Latency CloudWatch | aws cloudwatch get-metric-data --metric-data-queries ... | Pulls ModelInvocationLatency from CloudWatch. |
| 27 | Check Bedrock Throttled Requests CloudWatch | aws cloudwatch get-metric-data ... --metric-name InvocationThrottles | Monitors API throttle events. |
| 28 | Check Bedrock Service Limits | aws service-quotas get-service-quota --service-code bedrock --quota-code L-... | Inspects account QPS and token quota limits. |
| 29 | Check Bedrock Service Health | aws health describe-events --filter 'services=BEDROCK' | Inspects AWS Bedrock service operational status. |
| 30 | Boto3 Version Check | import boto3; print(boto3.__version__) | Outputs installed Boto3 SDK version. |
GitHub Copilot Coding
Technical Architecture & Overview
GitHub Copilot is the leading AI developer pair programmer, powered by OpenAI's specialized coding models. Natively integrated into VS Code, Visual Studio, JetBrains IDEs, and Neovim, it delivers inline code completion, Copilot Chat, workspace indexing, and automated CLI command explanations.
Primary Use Cases: Real-time code autocompletion, automated unit test generation, legacy codebase refactoring, security vulnerability scanning, and natural language terminal command synthesis.
Core Components: VS Code / JetBrains Extension, GitHub Copilot Chat, Copilot Enterprise Knowledge Bases, and GitHub CLI (`gh copilot`).
Exhaustive operational capability and API reference matrix for GitHub Copilot.
| # | Operation / Capability | VS Code / CLI Syntax | Description |
|---|---|---|---|
| 1 | Trigger Inline Code Completion | Option + \ (Mac) or Alt + \ (Win) | Triggers manual Copilot inline code completion suggestion. |
| 2 | Accept Inline Completion | Tab | Accepts active Copilot code completion suggestion. |
| 3 | Accept Next Word | Command + Right (Mac) or Ctrl + Right (Win) | Accepts next word of completion suggestion. |
| 4 | Cycle Next Completion Suggestion | Option + ] (Mac) or Alt + ] (Win) | Cycles to next available completion suggestion. |
| 5 | Cycle Previous Suggestion | Option + [ (Mac) or Alt + [ (Win) | Cycles to previous completion suggestion. |
| 6 | Open Copilot Completion Panel | Control + Enter | Opens 10 alternative code completions in split editor panel. |
| 7 | Open Copilot Chat Panel | Command + Control + I (Mac) or Ctrl + Alt + I (Win) | Opens Copilot Chat side panel. |
| 8 | Inline Chat Command | Command + I (Mac) or Ctrl + I (Win) | Opens inline prompt box directly inside active code file. |
| 9 | Copilot Slash Command - Explain | /explain | Explains selected code logic in plain language. |
| 10 | Copilot Slash Command - Fix | /fix | Identifies syntax or logical bug in selected code and proposes fix. |
| 11 | Copilot Slash Command - Tests | /tests | Generates unit test suite for selected function. |
| 12 | Copilot Slash Command - Doc | /doc | Generates JSDoc / Docstring documentation comments. |
| 13 | Copilot Slash Command - Setup Tests | /setupTests | Configures test framework setup for active workspace. |
| 14 | Copilot Slash Command - New Project | /new | Scaffolds new project template based on natural language prompt. |
| 15 | Copilot Slash Command - Terminal | /terminal | Generates shell command syntax for terminal execution. |
| 16 | Copilot Participant - Workspace | @workspace /explain how routing works | Searches entire indexed workspace codebase to answer query. |
| 17 | Copilot Participant - VS Code | @vscode how do I change my theme? | Answers questions about editor settings and configurations. |
| 18 | Copilot Participant - Terminal | @terminal explain recent command failure | Analyzes recent failed terminal command error output. |
| 19 | Copilot Participant - GitHub | @github list my open pull requests | Queries GitHub PRs, issues, and repositories. |
| 20 | GitHub CLI Copilot - Explain | gh copilot explain 'iptables -t nat -A PREROUTING...' | Explains complex terminal command in CLI. |
| 21 | GitHub CLI Copilot - Suggest | gh copilot suggest 'find all pdf files modified in last 7 days' | Generates terminal shell command syntax. |
| 22 | Configure Content Exclusion Rules | https://github.com/settings/copilot -> Content Exclusions | Blocks Copilot from indexing sensitive files or paths. |
| 23 | Disable Duplication Detection Filter | https://github.com/settings/copilot -> Suggestions matching public code | Configures public code matching filter (Allow/Block). |
| 24 | Enable Copilot Enterprise Indexing | https://github.com/organizations/{org}/settings/copilot | Enforces repository indexing across organization. |
| 25 | Configure Workspace Instruction File | .github/copilot-instructions.md | Provides repository-specific coding rules and conventions to Copilot. |
| 26 | Check Copilot License Seat Status | gh api /orgs/{org}/copilot/billing/selected_users | Inspects assigned Copilot Enterprise user seats. |
| 27 | Copilot Pull Request Summary | GitHub PR -> Copilot -> Summary | Generates automated summary of PR code changes. |
| 28 | Copilot Code Review Request | GitHub PR -> Copilot -> Review my PR | Scans PR for security flaws and performance bugs. |
| 29 | Check Copilot IDE Log | VS Code Output Panel -> GitHub Copilot | Inspects extension RPC logs and server connection health. |
| 30 | Check Copilot Extension Version | VS Code Extensions -> GitHub Copilot | Outputs installed Copilot extension version number. |
Cursor Coding
Technical Architecture & Overview
Cursor is an AI-native fork of VS Code engineered specifically for agentic software development. Powered by custom models (Claude 3.5 Sonnet, GPT-4o, Cursor-Small), it features Cursor Prediction (Copilot++), Composer (multi-file editing agent), background codebase indexing (RAG), and terminal execution capabilities.
Primary Use Cases: Building full-stack software applications from scratch, multi-file codebase refactoring, automated bug resolution, and interactive AI pair programming.
Core Components: Cursor IDE (VS Code Fork), Composer Multi-File Agent, Codebase Indexer (Vector RAG), Cursor Prediction Engine, and Custom API Key Integration.
Exhaustive operational capability and API reference matrix for Cursor.
| # | Operation / Capability | Cursor Keyboard & CLI Syntax | Description |
|---|---|---|---|
| 1 | Open Cursor Agent Composer | Command + I (Mac) or Ctrl + I (Win) | Opens Composer agent floating window for multi-file edits. |
| 2 | Open Fullscreen Composer | Command + Shift + I (Mac) or Ctrl + Shift + I (Win) | Opens Composer agent in full editor workspace view. |
| 3 | Inline Code Edit | Command + K (Mac) or Ctrl + K (Win) | Opens inline prompt box to edit or generate code in active file. |
| 4 | Cursor Chat Panel | Command + L (Mac) or Ctrl + L (Win) | Opens Cursor AI Chat side panel. |
| 5 | Accept Cursor Prediction (Copilot++) | Tab | Accepts multi-line code prediction suggestion. |
| 6 | Accept Next Word of Prediction | Command + Right | Accepts next word of prediction suggestion. |
| 7 | Reference File in Chat / Composer | @filename.ts | Attaches specific file as context payload. |
| 8 | Reference Folder in Chat / Composer | @folder/ | Attaches entire folder directory as context payload. |
| 9 | Reference Entire Codebase | @Codebase | Triggers vector search RAG across full indexed codebase. |
| 10 | Reference Web Search | @Web | Triggers live web search grounding for query. |
| 11 | Reference Documentation | @Docs (e.g. @Next.js) | Attaches indexed framework documentation. |
| 12 | Add Custom Documentation URL | Cursor Settings -> Features -> Docs -> Add new doc | Indexes external documentation website URL for RAG. |
| 13 | Reference Git Commit / Diff | @Git | Attaches recent git diff or commit history context. |
| 14 | Reference Code Symbol | @symbol_name | Attaches specific function or class definition. |
| 15 | Reference Terminal Error Output | @Terminal | Attaches recent terminal error log output. |
| 16 | Execute Composer Auto-Apply | Composer Window -> Apply | Applies multi-file changes directly across workspace files. |
| 17 | Reject Composer Edits | Composer Window -> Reject | Reverts generated multi-file changes. |
| 18 | Accept All Composer Changes | Command + Shift + Y | Accepts all pending diff changes across workspace. |
| 19 | Reject All Composer Changes | Command + Shift + N | Rejects all pending diff changes across workspace. |
| 20 | Configure Custom Rules File | .cursorrules | Defines workspace-specific coding standards, stack preferences, and conventions. |
| 21 | Set Default AI Model | Cursor Settings -> Models -> Default Model | Configures default model (claude-3-5-sonnet, gpt-4o). |
| 22 | Add Custom OpenAI API Key | Cursor Settings -> Models -> OpenAI API Key | Supplies personal API key for BYOK model execution. |
| 23 | Add Custom Anthropic API Key | Cursor Settings -> Models -> Anthropic API Key | Supplies personal Anthropic API key. |
| 24 | Check Codebase Indexing Status | Cursor Settings -> Features -> Codebase Indexing | Monitors vector index status and file counts. |
| 25 | Re-Index Codebase | Cursor Settings -> Features -> Codebase Indexing -> Resync | Forces full re-indexing of workspace files. |
| 26 | Toggle Cursor Prediction | Cursor Settings -> Features -> Cursor Prediction | Enables or disables inline Copilot++ predictions. |
| 27 | Terminal Auto-Fix Error | Terminal Panel -> Auto-Fix with AI | Analyzes failed command and runs suggested fix. |
| 28 | Import VS Code Extensions & Settings | Cursor -> File -> Import VS Code Extensions | Syncs extensions and keybindings from native VS Code. |
| 29 | Check Cursor Version | Cursor -> About Cursor | Outputs installed Cursor IDE build version and commit hash. |
| 30 | Launch Cursor from Terminal | cursor . | Opens current directory inside Cursor IDE via CLI. |
Devin (Cognition AI) Coding
Technical Architecture & Overview
Devin, created by Cognition AI, is an autonomous AI software engineer. Operating inside a secure, sandboxed cloud environment equipped with a shell, code editor, and browser, Devin can independently plan, execute, debug, test, and deploy complex software engineering tasks from high-level natural language prompts.
Primary Use Cases: End-to-end feature implementation, autonomous bug fixing, legacy code migrations, third-party API integrations, and automated benchmark testing.
Core Components: Autonomous Reasoning Engine, Sandboxed Linux VM (Shell, Code Editor, Browser), Playwright Web Automation Engine, and GitHub Integration Hooks.
Exhaustive operational capability and API reference matrix for Devin (Cognition AI).
| # | Operation / Capability | Devin Web / Slack / API Syntax | Description |
|---|---|---|---|
| 1 | Submit Engineering Task Prompt | https://devin.ai -> New Task: 'Build a REST API in Node.js for users' | Initiates autonomous engineering task. |
| 2 | Attach GitHub Repository to Task | New Task -> Add Repo: 'org/my-repo' | Clones GitHub repo into Devin's sandboxed VM. |
| 3 | Attach Documentation / Specs | New Task -> Upload File: 'spec.pdf' | Ingests product requirement document. |
| 4 | View Autonomous Plan Execution | Devin UI -> Execution Plan | Inspects step-by-step reasoning plan generated by Devin. |
| 5 | Inspect Sandboxed Shell Terminal | Devin UI -> Shell Terminal | Monitors live bash commands executed by Devin. |
| 6 | Inspect Sandboxed Code Editor | Devin UI -> Code Editor | Monitors live file modifications made by Devin. |
| 7 | Inspect Sandboxed Web Browser | Devin UI -> Browser View | Monitors Devin navigating web docs or testing web UI. |
| 8 | Pause Task Execution | Devin UI -> Pause | Pauses Devin's autonomous execution loop. |
| 9 | Resume Task Execution | Devin UI -> Resume | Resumes Devin's autonomous execution loop. |
| 10 | Provide Mid-Task User Feedback | Devin UI -> Chat: 'Use PostgreSQL instead of SQLite' | Intervenes to update constraints or guidance. |
| 11 | Approve Execution Action | Devin UI -> Approve Action | Approves sensitive action (e.g. deployment or PR creation). |
| 12 | Create Pull Request on GitHub | Devin UI -> Create PR | Devin submits complete PR to target GitHub repo. |
| 13 | Submit Task via Slack Integration | @Devin 'Fix bug in issue #142' | Triggers Devin task directly from Slack channel. |
| 14 | Submit Task via GitHub Issue | GitHub Issue -> Assign @Devin-AI | Triggers Devin task when assigned on GitHub. |
| 15 | Configure Custom Dev Environment | .devin/setup.sh | Bash script configuring environment setup (npm install, pyenv, etc.). |
| 16 | Configure System Instructions | .devin/instructions.md | Provides project-specific guidelines and conventions to Devin. |
| 17 | Configure Secrets & API Keys | Devin Settings -> Vault -> Add Secret | Provides encrypted API keys for Devin to use during testing. |
| 18 | Export Task Transcript Log | Devin UI -> Export Session Log | Downloads complete execution log and command history. |
| 19 | Check Devin Task Cost / Credits | Devin UI -> Usage & Billing | Inspects ACU (Agent Compute Unit) consumption. |
| 20 | Cancel Running Task | Devin UI -> Terminate Session | Kills sandboxed VM and aborts task execution. |
| 21 | Review Automated Unit Test Run | Devin UI -> Test Output | Inspects test pass/fail results generated by Devin. |
| 22 | Devin Enterprise SSO Config | Devin Admin -> Security -> SAML SSO | Configures enterprise SAML SSO authentication. |
| 23 | Set IP Allowlist for Sandboxed VM | Devin Admin -> Security -> IP Allowlist | Restricts outbound VM traffic to corporate IPs. |
| 24 | Set Repository Access Permissions | Devin Admin -> Integrations -> GitHub App | Controls repository read/write access scope. |
| 25 | Trigger Code Migration Task | New Task: 'Migrate codebase from Python 2 to Python 3' | Initiates automated codebase migration. |
| 26 | Trigger Dependency Upgrade Task | New Task: 'Upgrade React from v17 to v18 and fix breaking changes' | Initiates dependency version upgrade. |
| 27 | Trigger API Integration Task | New Task: 'Integrate Stripe Checkout API into /checkout route' | Initiates third-party API integration. |
| 28 | Trigger Bug Resolution Task | New Task: 'Investigate memory leak in worker process' | Initiates autonomous debugging and profiling. |
| 29 | Check Devin Platform Status | curl https://status.devin.ai/ | Queries HTTP REST status endpoint for service health. |
| 30 | Check API Version String | GET https://api.devin.ai/v1/version | Outputs Devin platform API version string. |
v0 (Vercel) Coding
Technical Architecture & Overview
v0, created by Vercel, is a generative UI platform that transforms natural language prompts and design wireframes into production-ready React, Next.js, Tailwind CSS, and Shadcn UI code components. It features an interactive visual canvas, real-time code iteration, and one-click deployment to Vercel.
Primary Use Cases: Rapid front-end UI prototyping, generating Shadcn UI design systems, converting Figma/image wireframes to React code, and building responsive web dashboards.
Core Components: Generative UI Code Engine, React / Next.js / Tailwind Stack, Shadcn UI Component Library, v0 Web Editor, and Vercel CLI (`vercel`).
Exhaustive operational capability and API reference matrix for v0 (Vercel).
| # | Operation / Capability | v0 Web / CLI Syntax | Description |
|---|---|---|---|
| 1 | Generate UI Component Prompt | https://v0.dev -> 'Create a modern SaaS analytics dashboard with dark theme' | Generates React component code. |
| 2 | Upload Image / Wireframe Prompt | v0 Prompt Box -> Attach Screenshot / Figma Wireframe | Generates React UI code matching uploaded image design. |
| 3 | Iterate Selected UI Element | v0 Canvas -> Click Element -> 'Change button color to primary blue' | Modifies specific UI element in component. |
| 4 | Toggle Preview / Code Mode | v0 Editor -> Top Bar -> Toggle Code / Preview | Switches between interactive component rendering and React code. |
| 5 | Copy Component Code | v0 Editor -> Copy Code Button | Copies complete React / Tailwind TSX code to clipboard. |
| 6 | Install v0 CLI Tool | npm install -g v0 | Installs v0 command-line tool globally. |
| 7 | Add v0 Component to Project | npx v0 add {component_id} | Downloads generated component code directly into local Next.js project. |
| 8 | Deploy Component to Vercel | v0 Editor -> Deploy to Vercel | Deploys component as live hosted web page on Vercel. |
| 9 | Fork v0 Component | v0 Editor -> Fork Component | Duplicates existing public v0 component for custom editing. |
| 10 | Export Component to CodeSandbox | v0 Editor -> Open in CodeSandbox | Exports component to online interactive IDE. |
| 11 | Select Tech Stack - Next.js App Router | v0 Settings -> Tech Stack -> Next.js App Router | Enforces Next.js App Router conventions. |
| 12 | Select Tech Stack - HTML/CSS | v0 Settings -> Tech Stack -> Plain HTML/Tailwind | Generates plain HTML and Tailwind CSS code without React. |
| 13 | Select UI Library - Shadcn UI | v0 Prompt Box -> Include @shadcn/ui components | Uses Shadcn UI component primitives (Button, Dialog, Card). |
| 14 | Select Icon Library - Lucide React | v0 Prompt Box -> Use @lucide-react icons | Imports Lucide React icons into component. |
| 15 | Select Animation Library - Framer Motion | v0 Prompt Box -> Add entry animations using framer-motion | Integrates Framer Motion animations. |
| 16 | Toggle Responsive Viewports | v0 Canvas -> Mobile / Tablet / Desktop Viewport Icons | Previews UI rendering across device breakpoint sizes. |
| 17 | Toggle Dark / Light Theme | v0 Canvas -> Toggle Theme Icon | Previews component in Dark Mode and Light Mode. |
| 18 | Share v0 Project Link | v0 Editor -> Share -> Copy Public URL | Generates shareable public link for team feedback. |
| 19 | Set Private Project Access | v0 Project Settings -> Privacy -> Private | Restricts project visibility to team members. |
| 20 | Configure Custom Brand Design Tokens | v0 Settings -> Theme -> Primary Color / Border Radius | Customizes default Tailwind theme color tokens. |
| 21 | Generate Full Page Layout | v0 Prompt Box -> 'Create landing page with hero, pricing, and FAQ' | Generates multi-section landing page component. |
| 22 | Generate Interactive Form UI | v0 Prompt Box -> 'Create Multi-step checkout form with validation' | Generates form UI with React Hook Form structure. |
| 23 | Generate Data Table UI | v0 Prompt Box -> 'Create sortable data table with pagination' | Generates TanStack Data Table UI component. |
| 24 | Generate Navigation Bar UI | v0 Prompt Box -> 'Create sticky navbar with dropdown mega menu' | Generates responsive navigation header UI. |
| 25 | Generate Modal / Dialog UI | v0 Prompt Box -> 'Create accessible modal dialog with trigger button' | Generates Shadcn Dialog component. |
| 26 | Check v0 Credit Balance | https://v0.dev/settings/billing | Inspects generation credit balance and subscription tier. |
| 27 | Check Vercel CLI Version | vercel --version | Outputs installed Vercel CLI tool version string. |
| 28 | Check Vercel Account Info | vercel whoami | Outputs authenticated Vercel user account. |
| 29 | Link Project to Vercel | vercel link | Connects local directory to Vercel deployment project. |
| 30 | Check v0 Platform Status | curl https://www.vercel-status.com/ | Queries Vercel service health status page. |
Midjourney Creative
Technical Architecture & Overview
Midjourney is the leading generative AI image platform, world-renowned for its hyper-realistic aesthetic quality, artistic control, and detailed lighting rendering. Operating via Discord bot and Midjourney Web Interface, version 6/6.1 features advanced prompt coherence, text rendering, and parameter tuning.
Primary Use Cases: Commercial advertising visual assets, concept art generation, architectural rendering, character design, and high-fidelity digital art creation.
Core Interfaces: Midjourney Discord Bot (`/imagine`), Midjourney Web Creation Canvas (midjourney.com), and Alpha Generation Suite.
Exhaustive operational capability and API reference matrix for Midjourney.
| # | Operation / Capability | Discord Command / Parameter Syntax | Description |
|---|---|---|---|
| 1 | Generate Image Prompt | /imagine prompt: hyperrealistic architectural render of modern villa, cinematic lighting --v 6.1 | Generates 4 candidate image variations. |
| 2 | Set Aspect Ratio 16:9 | /imagine prompt: ... --ar 16:9 | Configures widescreen 16:9 aspect ratio. |
| 3 | Set Aspect Ratio 9:16 | /imagine prompt: ... --ar 9:16 | Configures vertical mobile story 9:16 aspect ratio. |
| 4 | Set Aspect Ratio 1:1 | /imagine prompt: ... --ar 1:1 | Configures square 1:1 aspect ratio. |
| 5 | Set Stylize Parameter | /imagine prompt: ... --stylize 250 | Controls artistic strength (0 = strict, 1000 = high art). |
| 6 | Set Chaos Parameter | /imagine prompt: ... --chaos 50 | Controls grid variation diversity (0 to 100). |
| 7 | Set Weird Parameter | /imagine prompt: ... --weird 500 | Introduces quirky, unusual aesthetic qualities (0 to 3000). |
| 8 | Set Quality Parameter | /imagine prompt: ... --q 2 | Allocates double generation processing time for extra detail. |
| 9 | Set Raw Style Mode | /imagine prompt: ... --style raw | Reduces Midjourney default aesthetic bias for accurate prompt execution. |
| 10 | Set Negative Prompt (Exclude) | /imagine prompt: ... --no cars, people, clouds | Excludes specific unwanted objects from image. |
| 11 | Set Tile Parameter (Seamless Pattern) | /imagine prompt: ... --tile | Generates seamless repeating pattern texture. |
| 12 | Set Seed Parameter | /imagine prompt: ... --seed 12345 | Enforces fixed random seed for reproducible results. |
| 13 | Set Image Weight Reference | /imagine prompt: https://img.png a cat --iw 2.0 | Controls reference image influence weight (0.25 to 2.0). |
| 14 | Set Style Reference (sref) | /imagine prompt: ... --sref https://style.png | Transfers artistic style from reference image. |
| 15 | Set Style Weight (sw) | /imagine prompt: ... --sref https://style.png --sw 800 | Controls strength of style reference transfer (0 to 1000). |
| 16 | Set Character Reference (cref) | /imagine prompt: ... --cref https://face.png | Preserves character facial features across renders. |
| 17 | Set Character Weight (cw) | /imagine prompt: ... --cref https://face.png --cw 100 | Controls character consistency weight (0 to 100). |
| 18 | Upscale Image Resolution | Click U1 / U2 / U3 / U4 | Upscales chosen image grid candidate to high resolution. |
| 19 | Generate Image Variation | Click V1 / V2 / V3 / V4 | Generates 4 variations of chosen grid candidate. |
| 20 | Vary Subtle | Click Vary (Subtle) | Generates minor modifications of selected image. |
| 21 | Vary Strong | Click Vary (Strong) | Generates significant structural changes to image. |
| 22 | Vary Region (Inpainting) | Click Vary (Region) | Selects brush region to modify or replace via prompt. |
| 23 | Pan Image Direction | Click Pan Left / Right / Up / Down | Extends canvas canvas in specified direction. |
| 24 | Zoom Out Canvas | Click Zoom Out 2x / 1.5x | Expands camera field of view keeping center image intact. |
| 25 | Custom Zoom Out | Click Custom Zoom -> Change prompt or --ar | Expands canvas while modifying aspect ratio or prompt. |
| 26 | Describe Image to Prompt | /describe (upload image file) | Generates 4 detailed text prompts describing uploaded image. |
| 27 | Shorten Prompt Syntax | /shorten prompt: long detailed prompt text... | Analyzes prompt keywords and suggests optimized shorter prompt. |
| 28 | Blend Multiple Images | /blend (upload image1, image2) | Merges 2 to 5 images into a unified composite image. |
| 29 | Switch to Fast Generation Mode | /fast | Switches account GPU time to high-priority Fast mode. |
| 30 | Switch to Relax Generation Mode | /relax | Switches to unlimited background Relax generation mode. |
DALL-E 3 (OpenAI) Creative
Technical Architecture & Overview
DALL-E 3 is OpenAI's state-of-the-art text-to-image model natively integrated into ChatGPT and the OpenAI API. It excels at exact prompt adherence, rendering legibly formatted text labels inside images, and complex spatial object arrangements.
Primary Use Cases: Generating images with inline text labels, conceptual illustrations, social media marketing graphics, and visual asset creation directly from ChatGPT conversations.
Core Integration Endpoints: OpenAI Images API (`/v1/images/generations`), ChatGPT Web Canvas, and Custom GPTs.
Exhaustive operational capability and API reference matrix for DALL-E 3 (OpenAI).
| # | Operation / Capability | OpenAI API / ChatGPT Syntax | Description |
|---|---|---|---|
| 1 | Generate DALL-E 3 Image API | POST /v1/images/generations -d '{"model": "dall-e-3", "prompt": "..."}' | Generates high-resolution image via API. |
| 2 | Set Square Size 1024x1024 | POST /v1/images/generations -d '{"size": "1024x1024"}' | Configures square 1024x1024 resolution. |
| 3 | Set Widescreen Size 1792x1024 | POST /v1/images/generations -d '{"size": "1792x1024"}' | Configures landscape 1792x1024 resolution. |
| 4 | Set Vertical Size 1024x1792 | POST /v1/images/generations -d '{"size": "1024x1792"}' | Configures portrait 1024x1792 resolution. |
| 5 | Set Quality HD | POST /v1/images/generations -d '{"quality": "hd"}' | Enables HD detail rendering mode. |
| 6 | Set Quality Standard | POST /v1/images/generations -d '{"quality": "standard"}' | Enables default fast generation mode. |
| 7 | Set Style Vivid | POST /v1/images/generations -d '{"style": "vivid"}' | Enforces hyper-real, dramatic lighting and contrast. |
| 8 | Set Style Natural | POST /v1/images/generations -d '{"style": "natural"}' | Enforces natural, soft, realistic lighting. |
| 9 | Render Inline Text Label | prompt: 'A coffee shop logo with the text "COFFEE LAB" written in bold typography' | Renders legible text inside generated image. |
| 10 | Generate Image in ChatGPT | ChatGPT Prompt: 'Draw a futuristic neon city skyline at sunset' | Triggers DALL-E 3 rendering in ChatGPT chat. |
| 11 | Inpaint Selected Image Region | ChatGPT Image Editor -> Select Brush Tool -> Prompt change | Modifies masked region of DALL-E 3 image in ChatGPT. |
| 12 | Get Revised Prompt API Response | response.data[0].revised_prompt | Extracts automatically expanded safety prompt used by DALL-E 3. |
| 13 | Generate Sequential Variations | ChatGPT Prompt: 'Generate same character in new pose wearing red coat' | Preserves subject context across sequential ChatGPT turns. |
| 14 | Disable Prompt Expansion API | prompt: 'I desire an exact rendering of: ...' | Supplies explicit instructions to minimize automatic prompt expansion. |
| 15 | Download Generated Image PNG | curl -o image.png {url} | Downloads generated image URL artifact. |
| 16 | Generations Response Format URL | POST /v1/images/generations -d '{"response_format": "url"}' | Returns temporary hosted image URL. |
| 17 | Generations Response Format B64 | POST /v1/images/generations -d '{"response_format": "b64_json"}' | Returns base64 encoded PNG image data. |
| 18 | Batch DALL-E 3 Request | POST /v1/batches -d '{"endpoint": "/v1/images/generations"}' | Submits asynchronous batch image generation job. |
| 19 | Check Image Generation Cost | https://platform.openai.com/usage | Monitors API credit spending on DALL-E 3. |
| 20 | Check Image API Rate Limit Headers | GET /v1/images/generations (inspect headers) | Monitors remaining image requests per minute. |
| 21 | Set User Identity Parameter API | POST /v1/images/generations -d '{"user": "user-123"}' | Supplies user ID for security and abuse tracking. |
| 22 | Inpaint Mask Image via API (DALL-E 2) | POST /v1/images/edits | Edits image using mask PNG via legacy DALL-E 2 endpoint. |
| 23 | Image Variation via API (DALL-E 2) | POST /v1/images/variations | Generates variation of image via legacy DALL-E 2 endpoint. |
| 24 | Integrate DALL-E 3 into Custom GPT | Custom GPT Configuration -> Capabilities -> DALL-E Image Generation | Enables image generation capability for Custom GPT. |
| 25 | Generate Vector Art Style | prompt: 'A flat vector illustration of a developer at a desk, clean lines, minimalist' | Forces flat vector graphic style. |
| 26 | Generate Isometric Art Style | prompt: 'An isometric 3D render of a cloud datacenter with servers' | Forces 3D isometric diagram style. |
| 27 | Generate Watercolor Art Style | prompt: 'A soft watercolor painting of a mountain lake at dawn' | Forces traditional watercolor painting style. |
| 28 | Generate Oil Painting Style | prompt: 'An impressionist oil painting of a rainy city street' | Forces textured oil canvas painting style. |
| 29 | Check DALL-E 3 Status | curl https://status.openai.com/api/v2/status.json | Queries OpenAI status page for DALL-E 3 health. |
| 30 | OpenAI SDK Version Check | import openai; print(openai.__version__) | Outputs installed OpenAI Python SDK version. |
Flux (Black Forest Labs) Creative
Technical Architecture & Overview
Flux.1, created by Black Forest Labs (founded by the original Stable Diffusion creators), is a 12-billion parameter flow-matching transformer open-weights image generation model. Available in Schnell (fast open-weights), Dev (non-commercial open-weights), and Pro (commercial API) variants, it sets the industry standard for photorealism, hands, and text rendering.
Primary Use Cases: Open-weights local GPU image generation, photorealistic human portraiture, typography/logo image generation, and LoRA fine-tuning for custom visual concepts.
Core Components: 12B Parameter Flow-Matching Transformer, T5-XXL Text Encoder, CLIP ViT-L, ComfyUI Workflows, and Replicate / Fal.ai Cloud APIs.
Exhaustive operational capability and API reference matrix for Flux (Black Forest Labs).
| # | Operation / Capability | ComfyUI / Fal.ai / Replicate Syntax | Description |
|---|---|---|---|
| 1 | Run Flux.1 Schnell via Replicate API | replicate.run('black-forest-labs/flux-schnell', input={'prompt': '...'}) | Generates fast 4-step image via Replicate API. |
| 2 | Run Flux.1 Dev via Replicate API | replicate.run('black-forest-labs/flux-dev', input={'prompt': '...'}) | Generates high-detail 28-step image via Replicate API. |
| 3 | Run Flux.1 Pro via Fal.ai API | fal_client.subscribe('fal-ai/flux-pro/v1.1', arguments={'prompt': '...'}) | Generates commercial Flux Pro 1.1 image via Fal.ai. |
| 4 | Set Aspect Ratio via Fal.ai | arguments={'prompt': '...', 'image_size': 'landscape_16_9'} | Configures 16:9 widescreen output size. |
| 5 | Set Guidance Scale (Dev) | input={'guidance_scale': 3.5} | Controls prompt adherence guidance scale (default 3.5). |
| 6 | Set Inference Steps (Schnell) | input={'num_inference_steps': 4} | Configures fast 4-step generation for Schnell. |
| 7 | Set Inference Steps (Dev) | input={'num_inference_steps': 28} | Configures 28-step generation for Dev. |
| 8 | Set Seed for Reproducibility | input={'seed': 42} | Enforces fixed random seed. |
| 9 | Load Flux Model in ComfyUI | ComfyUI -> Load Checkpoint -> flux1-dev.safetensors | Loads 12B Flux safetensors checkpoint into ComfyUI. |
| 10 | Load Dual CLIP Encoders | ComfyUI -> DualCLIPLoader -> clip_l.safetensors + t5xxl_fp16.safetensors | Loads CLIP-L and T5-XXL text encoders. |
| 11 | Apply Flux LoRA Weights | ComfyUI -> Load LoRA -> flux_realism_lora.safetensors | Applies custom LoRA fine-tune weights (strength 0.8). |
| 12 | Render Legible Text Label | prompt: 'A neon sign on a brick wall glowing with text "OPEN 24 HOURS"' | Renders exact text inside Flux generated image. |
| 13 | Render Accurate Human Hands | prompt: 'Close up photograph of human hands holding a golden key' | Renders flawless 5-finger human hands. |
| 14 | Run Local Flux in Diffusers Python | pipe = FluxPipeline.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.bfloat16) | Loads local Flux pipeline in HuggingFace Diffusers. |
| 15 | Enable CPU Offloading in Diffusers | pipe.enable_model_cpu_offload() | Offloads model layers to CPU RAM for low VRAM GPUs. |
| 16 | Enable Sequential CPU Offloading | pipe.enable_sequential_cpu_offload() | Enforces maximum VRAM optimization for 8GB GPUs. |
| 17 | Generate Image via Diffusers | image = pipe(prompt='...', num_inference_steps=4, guidance_scale=0.0).images[0] | Executes local PyTorch inference. |
| 18 | Quantize Flux to GGUF (4-bit) | ComfyUI -> Load GGUF -> flux1-dev-Q4_K_M.gguf | Runs 4-bit quantized Flux model on consumer GPUs. |
| 19 | Quantize Flux to NF4 | pipe = FluxPipeline.from_pretrained('...', quantization_config=BitsAndBytesConfig(load_in_4bit=True)) | Loads NF4 quantized Flux model. |
| 20 | Inpaint Image via Flux ControlNet | fal_client.subscribe('fal-ai/flux-general/inpainting', arguments={...}) | Inpaints masked image area using Flux. |
| 21 | Apply Depth ControlNet | arguments={'control_type': 'depth', 'control_image': '...'} | Controls 3D spatial layout using depth map. |
| 22 | Apply Canny Edge ControlNet | arguments={'control_type': 'canny', 'control_image': '...'} | Controls edge lines using Canny detector. |
| 23 | Train Custom Flux LoRA (Fal.ai) | fal_client.subscribe('fal-ai/flux-lora-fast-training', arguments={'images_data_url': '...'}) | Trains custom concept LoRA on 10 images. |
| 24 | Train Custom Flux LoRA (Replicate) | replicate.trainings.create(version='...', input={'input_images': '...'}) | Initiates LoRA training run on Replicate. |
| 25 | Download Flux Safetensors Model | huggingface-cli download black-forest-labs/FLUX.1-dev --include '*.safetensors' | Downloads raw model weights from HuggingFace. |
| 26 | Check Replicate API Balance | https://replicate.com/account/billing | Inspects API credit usage on Replicate. |
| 27 | Check Fal.ai API Balance | https://fal.ai/dashboard/billing | Inspects API credit usage on Fal.ai. |
| 28 | Check Replicate Python Version | import replicate; print(replicate.__version__) | Outputs installed Replicate Python SDK version. |
| 29 | Check Fal.ai Python Version | import fal_client; print(fal_client.__version__) | Outputs installed Fal.ai Python SDK version. |
| 30 | Check Black Forest Labs Status | curl https://status.fal.ai/ | Queries HTTP API endpoint for service health. |
Runway Gen-3 Creative
Technical Architecture & Overview
Runway Gen-3 Alpha is a industry-leading generative video model built for professional filmmaking, advertising, and visual effects. It offers high-fidelity text-to-video, image-to-video, Motion Brush camera control, Director Mode, and frame-accurate video-to-video style transformations.
Primary Use Cases: Cinematic text-to-video generation, animating static product images for ads, camera movement direction, visual effects pre-visualization, and video style transfer.
Core Interfaces: Runway Web Studio (app.runwayml.com), Runway API (REST), and Director Mode controls.
Exhaustive operational capability and API reference matrix for Runway Gen-3.
| # | Operation / Capability | Runway API / Studio Syntax | Description |
|---|---|---|---|
| 1 | Text-to-Video Generation | POST /v1/image_to_video -d '{"promptText": "Drone shot flying through canyon at sunset"}' | Generates 5s/10s video clip from text prompt. |
| 2 | Image-to-Video Generation | POST /v1/image_to_video -d '{"promptImage": "https://img.png", "promptText": "Animate water movement"}' | Animates static starting image. |
| 3 | Set Video Duration 5s | POST /v1/image_to_video -d '{"duration": 5}' | Configures 5-second video clip output. |
| 4 | Set Video Duration 10s | POST /v1/image_to_video -d '{"duration": 10}' | Configures 10-second video clip output. |
| 5 | Set Aspect Ratio 16:9 | POST /v1/image_to_video -d '{"ratio": "1280:768"}' | Configures widescreen 16:9 video format. |
| 6 | Set Aspect Ratio 9:16 | POST /v1/image_to_video -d '{"ratio": "768:1280"}' | Configures vertical 9:16 story video format. |
| 7 | Apply Motion Brush Mask | Runway Studio -> Motion Brush -> Paint area -> Set Horizontal/Vertical/Proximity motion | Applies localized motion to specific image area. |
| 8 | Set Camera Control - Zoom In | Runway Studio -> Camera Control -> Zoom In (+2.0) | Applies smooth forward camera zoom movement. |
| 9 | Set Camera Control - Pan Right | Runway Studio -> Camera Control -> Pan Right (+3.0) | Applies smooth horizontal camera panning. |
| 10 | Set Camera Control - Tilt Up | Runway Studio -> Camera Control -> Tilt Up (+1.5) | Applies vertical camera tilting movement. |
| 11 | Set Camera Control - Roll | Runway Studio -> Camera Control -> Roll (+1.0) | Applies rotational camera roll movement. |
| 12 | Apply First & Last Frame Control | POST /v1/image_to_video -d '{"promptImage": "start.png", "tailImage": "end.png"}' | Generates video transitioning between starting and ending frames. |
| 13 | Video-to-Video Style Transfer | Runway Studio -> Video-to-Video -> Upload video -> Prompt: 'Anime style' | Transforms visual style of source video. |
| 14 | Extend Video Clip (+5s) | Runway Studio -> Extend Video -> Add 5s | Extends generated video clip length seamlessly. |
| 15 | Upscale Video Resolution (4K) | Runway Studio -> Upscale -> 4K | Enhances generated video to 4K resolution. |
| 16 | Lip Sync Video with Audio | Runway Studio -> Lip Sync -> Upload audio file | Synchronizes character mouth movement to audio track. |
| 17 | Remove Video Background | Runway Studio -> Green Screen -> Select subject | Removes video background with automatic rotoscoping. |
| 18 | Inpaint Video Region | Runway Studio -> Inpaint -> Mask object -> Prompt replacement | Erases or replaces objects across all video frames. |
| 19 | Check API Task Status | GET /v1/tasks/{task_id} | Inspects video generation progress percentage. |
| 20 | Download MP4 Video Artifact | curl -o video.mp4 {video_url} | Downloads generated MP4 video file. |
| 21 | List Active Projects | GET /v1/projects | Lists projects in Runway workspace. |
| 22 | Create Custom Style Preset | Runway Studio -> Custom Assets -> Save Style | Saves visual style preset for team reuse. |
| 23 | Export Video XML / EDL Timeline | Runway Studio -> Export -> Final Cut XML | Exports video timeline sequence for NLE editing. |
| 24 | Set Seed Parameter API | POST /v1/image_to_video -d '{"seed": 98765}' | Enforces fixed random seed for reproducible motion. |
| 25 | Check Credit Balance | https://app.runwayml.com/settings/billing | Inspects account credit usage. |
| 26 | Runway Python SDK Init | import runway; client = runway.Client(api_key='...') | Initializes Runway Python SDK client. |
| 27 | Cancel Running Video Task | POST /v1/tasks/{task_id}/cancel | Aborts running video generation task. |
| 28 | Check Runway API Rate Limits | GET /v1/tasks (inspect response headers) | Monitors API request limits. |
| 29 | Check Runway Service Status | curl https://status.runwayml.com/ | Queries HTTP status endpoint for Runway platform health. |
| 30 | Runway SDK Version Check | import runway; print(runway.__version__) | Outputs installed Runway SDK version. |
Kling AI Creative
Technical Architecture & Overview
Kling AI, developed by Kuaishou, is a generative AI video platform built on 3D spatiotemporal joint attention architecture. Capable of generating continuous 1080p video clips up to 2 minutes long at 30fps, it sets industry benchmarks for realistic physical motion, fluid character dynamics, and prompt adherence.
Primary Use Cases: Generating long cinematic video scenes, complex physical simulations (water, fire, explosions), character movement animations, and high-fidelity video production.
Core Interfaces: Kling AI Web Platform (klingai.com) and Kling REST API.
Exhaustive operational capability and API reference matrix for Kling AI.
| # | Operation / Capability | Kling API / Web Syntax | Description |
|---|---|---|---|
| 1 | Text-to-Video Request API | POST /v1/videos/text2video -d '{"prompt": "A dragon flying over snow mountains, 1080p, 30fps"}' | Generates video clip from text prompt. |
| 2 | Image-to-Video Request API | POST /v1/videos/image2video -d '{"image": "base64...", "prompt": "Animate hair blowing in wind"}' | Animates static input image. |
| 3 | Set Video Duration 5s Mode | POST /v1/videos/text2video -d '{"duration": "5"}' | Configures 5-second video clip. |
| 4 | Set Video Duration 10s Mode | POST /v1/videos/text2video -d '{"duration": "10"}' | Configures 10-second video clip. |
| 5 | Set Quality Mode - High | POST /v1/videos/text2video -d '{"mode": "high"}' | Enables High Quality mode for maximum photorealism. |
| 6 | Set Quality Mode - Standard | POST /v1/videos/text2video -d '{"mode": "std"}' | Enables Standard fast generation mode. |
| 7 | Set Aspect Ratio 16:9 | POST /v1/videos/text2video -d '{"aspect_ratio": "16:9"}' | Configures 16:9 landscape format. |
| 8 | Set Aspect Ratio 9:16 | POST /v1/videos/text2video -d '{"aspect_ratio": "9:16"}' | Configures 9:16 vertical story format. |
| 9 | Set Aspect Ratio 1:1 | POST /v1/videos/text2video -d '{"aspect_ratio": "1:1"}' | Configures 1:1 square video format. |
| 10 | Set Camera Motion Control - Pan | POST /v1/videos/text2video -d '{"camera_control": {"type": "horizontal", "value": 5}}' | Configures horizontal camera panning. |
| 11 | Set Camera Motion Control - Zoom | POST /v1/videos/text2video -d '{"camera_control": {"type": "zoom", "value": -3}}' | Configures camera zoom out movement. |
| 12 | Set Camera Motion Control - Master | POST /v1/videos/text2video -d '{"camera_control": {"type": "pan_down", "value": 2}}' | Configures camera downward tilt movement. |
| 13 | Set Negative Prompt Exclude | POST /v1/videos/text2video -d '{"negative_prompt": "blur, distortion, bad hands"}' | Excludes visual flaws. |
| 14 | Set CFG Scale Parameter | POST /v1/videos/text2video -d '{"cfg_scale": 0.5}' | Controls prompt adherence strength (0.0 to 1.0). |
| 15 | Extend Video Clip Length (+5s) | POST /v1/videos/extend -d '{"video_id": "v12345", "prompt": "Continue motion"}' | Extends existing video clip seamlessly. |
| 16 | Lip Sync Video Generation | POST /v1/videos/lip_sync -d '{"video_id": "v12345", "audio_url": "https://audio.mp3"}' | Synchronizes character lip movement to audio track. |
| 17 | Check Task Execution Status | GET /v1/videos/text2video/{task_id} | Inspects status (SUCCEEDED, PROCESSING, FAILED). |
| 18 | Download HD MP4 Video | curl -o output.mp4 {download_url} | Downloads generated 1080p MP4 file. |
| 19 | Virtual Try-On Fashion API | POST /v1/images/kolors-virtual-try-on -d '{"human_image": "...", "garment_image": "..."}' | Applies clothing item to human model image. |
| 20 | Generate Image via Kolors Model | POST /v1/images/generations -d '{"prompt": "...", "model": "kolors"}' | Generates high-res image via Kolors engine. |
| 21 | Check API Account Credits | GET /v1/user/balance | Inspects account credit balance. |
| 22 | Set Web Interface Motion Brush | Kling Web UI -> Motion Brush -> Paint area -> Drag movement vector | Applies directional motion vectors to static image. |
| 23 | Set Web Interface Camera Director | Kling Web UI -> Camera Movement -> Custom 3D Axis | Configures 3D camera trajectory. |
| 24 | Set Seed Parameter API | POST /v1/videos/text2video -d '{"seed": 12345678}' | Enforces fixed random seed. |
| 25 | Cancel Pending Video Task | POST /v1/videos/text2video/{task_id}/cancel | Cancels pending queued generation task. |
| 26 | List Recent Generated Videos | GET /v1/videos/history?page=1&limit=20 | Paginates through recent generated videos. |
| 27 | Set Webhook Notification URL | POST /v1/videos/text2video -d '{"webhook_url": "https://my-app.com/webhook"}' | Sends HTTP POST callback when video finishes. |
| 28 | Check Kling REST API Version | GET /v1/version | Outputs Kling API software release version string. |
| 29 | Check Kling Platform Health | curl https://klingai.com/api/health | Queries HTTP REST status endpoint. |
| 30 | Check API Rate Limit Headers | GET /v1/user/balance (inspect response headers) | Monitors API request limits. |
HeyGen Creative
Technical Architecture & Overview
HeyGen is an AI video generation platform specializing in photorealistic digital human avatars, automated text-to-speech video synthesis, interactive real-time avatars, and instant multi-language video translation with voice cloning and lip synchronization.
Primary Use Cases: Corporate training videos, personalized sales outreach at scale, multi-language video localization, marketing avatar videos, and interactive real-time AI avatar agents.
Core Components: Studio Avatars & Photo Avatars, Streaming Avatar SDK (WebRTC), AI Video Translator Engine, Personal Voice Cloning, and HeyGen REST API v2.
Exhaustive operational capability and API reference matrix for HeyGen.
| # | Operation / Capability | HeyGen REST API v2 Syntax | Description |
|---|---|---|---|
| 1 | Create Avatar Video Request | POST /v2/video/generate -d '{"video_inputs": [{"character": {"type": "avatar", "avatar_id": "Angela_public_3_20240108"}, "voice": {"type": "text", "voice_id": "1301777265...", "input_text": "Welcome to our enterprise platform."}}]}' | Generates MP4 avatar video from text script. |
| 2 | Create Talking Photo Video | POST /v2/video/generate -d '{"video_inputs": [{"character": {"type": "talking_photo", "talking_photo_id": "tp_123"}, ...}]}' | Animates static portrait photo into talking video. |
| 3 | Translate Video Language | POST /v2/video/translate -d '{"video_url": "https://video.mp4", "output_language": "Spanish", "speaker_num": 1}' | Translates video with cloned voice and lip sync. |
| 4 | List Available Avatars | GET /v2/avatars | Lists all public and custom enterprise avatars. |
| 5 | List Available Voices | GET /v2/voices | Lists all available multi-language voices. |
| 6 | Create Custom Instant Avatar | POST /v1/avatar/instant_avatar/create -d '{"video_url": "https://training.mp4"}' | Provisions custom instant avatar from 2-minute video clip. |
| 7 | Create Interactive Streaming Session | POST /v1/streaming.new -d '{"quality": "high", "avatar_name": "Angela_public_3_20240108"}' | Provisions low-latency WebRTC interactive streaming avatar session. |
| 8 | Send Text to Streaming Avatar | POST /v1/streaming.task -d '{"session_id": "s123", "text": "Hello, how can I help you today?"}' | Streams real-time speech and lip movements from avatar via WebRTC. |
| 9 | Start WebRTC Streaming Connection | POST /v1/streaming.start -d '{"session_id": "s123", "sdp": {...}}' | Establishes WebRTC media stream channel. |
| 10 | Close Streaming Session | POST /v1/streaming.stop -d '{"session_id": "s123"}' | Terminates WebRTC streaming avatar session. |
| 11 | Check Video Status | GET /v1/video_status.get?video_id={id} | Inspects status (processing, completed, failed). |
| 12 | Download MP4 Video Artifact | curl -o avatar_video.mp4 {download_url} | Downloads rendered MP4 video file. |
| 13 | List Video Webhooks | GET /v2/webhooks | Lists configured HTTP webhooks for video completion events. |
| 14 | Create Webhook Subscription | POST /v2/webhooks -d '{"url": "https://my-app.com/heygen-webhook", "events": ["avatar_video.success"]}' | Registers callback URL for completed video jobs. |
| 15 | Delete Webhook Subscription | DELETE /v2/webhooks/{id} | Deletes HTTP webhook subscription. |
| 16 | Create Personal Voice Clone | POST /v2/voices/clone -d '{"name": "MyClonedVoice", "audio_files": ["sample1.mp3"]}' | Clones user's voice from audio samples. |
| 17 | Delete Personal Voice Clone | DELETE /v2/voices/{voice_id} | Purges custom cloned voice. |
| 18 | Generate Custom Background Video | POST /v2/video/generate -d '{"background": {"type": "image", "url": "bg.png"}}' | Sets custom image/video background behind avatar. |
| 19 | Set Avatar Aspect Ratio 16:9 | POST /v2/video/generate -d '{"dimension": {"width": 1920, "height": 1080}}' | Configures 1080p widescreen video layout. |
| 20 | Set Avatar Aspect Ratio 9:16 | POST /v2/video/generate -d '{"dimension": {"width": 1080, "height": 1920}}' | Configures 1080p vertical story video layout. |
| 21 | Set Avatar Frame Position & Scale | POST /v2/video/generate -d '{"character": {"scale": 1.5, "offset_x": 0.2}}' | Adjusts avatar placement on canvas. |
| 22 | Add Captions / Subtitles to Video | POST /v2/video/generate -d '{"caption": true}' | Automatically renders open captions on generated video. |
| 23 | Set Voice Pitch & Speed | POST /v2/video/generate -d '{"voice": {"speed": 1.1, "pitch": 1}}' | Adjusts voice playback speed and pitch. |
| 24 | Get Account API Quota Details | GET /v2/user/remaining_quota | Inspects remaining API video generation credits. |
| 25 | List User Generated Videos | GET /v2/videos | Paginates through generated video history. |
| 26 | Delete Generated Video | DELETE /v2/videos/{video_id} | Deletes generated video artifact from server. |
| 27 | HeyGen Python SDK Init | from heygen import HeyGen; client = HeyGen(api_key='...') | Initializes HeyGen Python SDK client. |
| 28 | Check API Rate Limits | GET /v2/avatars (inspect response headers) | Monitors API request limits. |
| 29 | Check HeyGen Platform Status | curl https://status.heygen.com/ | Queries HTTP REST endpoint for platform operational status. |
| 30 | Check HeyGen API Version | GET /v2/version | Outputs HeyGen API release version string. |
ElevenLabs Creative
Technical Architecture & Overview
ElevenLabs is the industry-leading AI audio research platform specializing in ultra-realistic text-to-speech (TTS), Instant Voice Cloning (IVC), Professional Voice Cloning (PVC), AI Dubbing, Sound Effects generation, and Conversational AI voice agents via WebSockets.
Primary Use Cases: Audiobooks, video game voice acting, automated voiceovers for video, video dubbing localization into 29+ languages, and real-time interactive voice AI agents.
Core Components: Eleven Multilingual v2 / Turbo v2.5 Models, Voice Lab (Cloning Engine), AI Dubbing Studio, Sound Effects Engine, and Conversational AI WebSocket API.
Exhaustive operational capability and API reference matrix for ElevenLabs.
| # | Operation / Capability | ElevenLabs REST API / Boto3 Syntax | Description |
|---|---|---|---|
| 1 | Text-to-Speech Generation | POST /v1/text-to-speech/{voice_id} -d '{"text": "Welcome to our service.", "model_id": "eleven_multilingual_v2"}' | Synthesizes lifelike speech audio file. |
| 2 | Stream Text-to-Speech Audio | POST /v1/text-to-speech/{voice_id}/stream -d '{"text": "..."}' | Streams MP3/PCM audio chunks via chunked transfer encoding. |
| 3 | Text-to-Speech WebSocket Latency Stream | wss://api.elevenlabs.io/v1/text-to-speech/{voice_id}/stream-input?model_id=eleven_turbo_v2_5 | Establishes ultra-low latency WebSocket for real-time streaming TTS. |
| 4 | Create Instant Voice Clone (IVC) | POST /v1/voices/add -F 'name=MyVoice' -F 'files=@sample.mp3' | Clones voice instantly from 1-minute audio sample. |
| 5 | Create Professional Voice Clone (PVC) | POST /v1/voices/add/professional -d '{"name": "StudioVoice", ...}' | Provisions high-fidelity Professional Voice Clone from 30m audio. |
| 6 | Generate Sound Effect | POST /v1/sound-generation -d '{"text": "Cinematic laser blast with reverb"}' | Synthesizes custom SFX audio clip. |
| 7 | Dub Video / Audio File | POST /v1/dubbing -F 'file=@video.mp4' -F 'target_lang=es' -F 'num_speakers=2' | Dubs video into target language preserving original voices. |
| 8 | Check Dubbing Job Status | GET /v1/dubbing/{dubbing_id} | Inspects status and download URL for dubbed video. |
| 9 | Download Dubbed Audio / Video | GET /v1/dubbing/{dubbing_id}/audio/{language_code} | Downloads localized audio track file. |
| 10 | Voice Isolator / Noise Removal | POST /v1/audio-isolation -F 'file=@noisy_recording.mp3' | Erases background noise leaving clean crystal-clear speech. |
| 11 | List All Available Voices | GET /v1/voices | Lists default, shared community, and custom cloned voices. |
| 12 | Get Specific Voice Metadata | GET /v1/voices/{voice_id} | Inspects voice settings, labels, and sample audio files. |
| 13 | Edit Voice Settings | POST /v1/voices/{voice_id}/settings -d '{"stability": 0.5, "similarity_boost": 0.8, "style": 0.2}' | Adjusts stability, similarity, and style expressiveness. |
| 14 | Delete Custom Cloned Voice | DELETE /v1/voices/{voice_id} | Purges custom cloned voice from Voice Lab. |
| 15 | List Shared Community Library Voices | GET /v1/shared-voices?category=professional&gender=female | Searches community voice library. |
| 16 | Add Shared Voice to My Library | POST /v1/voices/add/{public_user_id}/{voice_id} | Bookmarks community voice into user library. |
| 17 | Get Models List | GET /v1/models | Lists all available ElevenLabs TTS model IDs. |
| 18 | Conversational AI Agent Creation | POST /v1/convai/agents/create -d '{"name": "PhoneAgent", "conversation_config": {...}}' | Provisions autonomous conversational voice AI agent. |
| 19 | Conversational AI WebSocket Connection | wss://api.elevenlabs.io/v1/convai/conversation?agent_id={agent_id} | Establishes bidirectional voice agent conversation channel. |
| 20 | Check User Subscription & Credit Quota | GET /v1/user/subscription | Inspects character usage counts, limits, and reset dates. |
| 21 | Check User History | GET /v1/history | Lists all previously synthesized audio generation tasks. |
| 22 | Download History Item Audio | GET /v1/history/{history_item_id}/audio | Downloads historical MP3 audio artifact. |
| 23 | Delete History Item | DELETE /v1/history/{history_item_id} | Deletes historical audio artifact. |
| 24 | ElevenLabs Python SDK Init | from elevenlabs.client import ElevenLabs; client = ElevenLabs(api_key='...') | Initializes Python SDK client. |
| 25 | Synthesize Speech via Python SDK | audio = client.generate(text='Hello world', voice='Rachel', model='eleven_multilingual_v2') | Synthesizes audio via Python SDK. |
| 26 | Play Audio via Python SDK | from elevenlabs import play; play(audio) | Plays synthesized audio directly on local speaker. |
| 27 | Stream Audio via Python SDK | from elevenlabs import stream; stream(audio_stream) | Streams audio directly to speaker with zero latency. |
| 28 | Check API Rate Limit Headers | GET /v1/voices (inspect response headers) | Monitors API request limits. |
| 29 | Check ElevenLabs Platform Status | curl https://status.elevenlabs.io/api/v2/status.json | Queries HTTP REST endpoint for platform operational status. |
| 30 | Check ElevenLabs Python SDK Version | import elevenlabs; print(elevenlabs.__version__) | Outputs installed ElevenLabs Python SDK version. |
Suno AI Creative
Technical Architecture & Overview
Suno AI is a generative AI music platform capable of composing complete 2 to 4-minute studio-quality songs—including arrangement, instrumentation, vocal melody, and multi-part harmonies—from simple text prompts or custom lyric sheets in v3.5/v4 engine builds.
Primary Use Cases: Generating original royalty-free background music for video/film, commercial song creation, sound design, custom jingles, and music style exploration.
Core Interfaces: Suno Web Platform (suno.com), Suno Mobile App, and Suno API wrappers.
Exhaustive operational capability and API reference matrix for Suno AI.
| # | Operation / Capability | Suno API / Web Syntax | Description |
|---|---|---|---|
| 1 | Generate Song from Prompt (Simple) | POST /v1/suno/generate -d '{"prompt": "An upbeat 80s synthwave song about night driving"}' | Generates 2 song options from simple prompt. |
| 2 | Generate Song from Custom Lyrics | POST /v1/suno/generate -d '{"prompt": "[Verse 1]\nNeon lights...", "tags": "synthwave, 80s, female vocals", "title": "Night Drive", "make_instrumental": false}' | Generates song from explicit lyrics and tags. |
| 3 | Generate Instrumental Track | POST /v1/suno/generate -d '{"prompt": "Chill lo-fi hip hop beat", "make_instrumental": true}' | Generates instrumental music without vocals. |
| 4 | Extend Song Track (+60s) | POST /v1/suno/extend -d '{"audio_id": "song_123", "prompt": "[Chorus]\nGlowing in the dark...", "continue_at": 120}' | Extends song from 2:00 timestamp onwards. |
| 5 | Get Track Generation Status | GET /v1/suno/feed?ids=song_123 | Inspects status (queued, streaming, complete). |
| 6 | Download MP3 Audio File | curl -o song.mp3 {audio_url} | Downloads generated MP3 audio file. |
| 7 | Download MP4 Video Clip with Waveform | curl -o video.mp4 {video_url} | Downloads MP4 video with animated visualizer. |
| 8 | Get Generated Lyrics | GET /v1/suno/lyrics/{id} | Fetches auto-generated AI lyrics text. |
| 9 | Generate AI Lyrics Only | POST /v1/suno/generate_lyrics -d '{"prompt": "A song about space exploration"}' | Generates structured verse/chorus lyrics text. |
| 10 | Set Music Style Tags - Synthwave | tags: 'synthwave, electronic, analog synth, 120bpm, retro' | Applies genre, tempo, and instrument tags. |
| 11 | Set Music Style Tags - Cinematic | tags: 'cinematic, orchestral, epic, Hans Zimmer style, brass, strings' | Applies film score tags. |
| 12 | Set Music Style Tags - Rock | tags: 'hard rock, electric guitar solo, driving drums, energetic male vocals' | Applies rock band style tags. |
| 13 | Set Music Style Tags - Jazz | tags: 'smooth jazz, saxophone, acoustic bass, brushed snare, relaxing piano' | Applies jazz ensemble style tags. |
| 14 | Set Music Style Tags - Pop | tags: 'catchy pop, dance, bright synthesisers, autotune female vocals' | Applies pop music style tags. |
| 15 | Set Song Meta Tags - Verse | [Verse 1] / [Verse 2] | Instructs Suno lyric parser to render verse structure. |
| 16 | Set Song Meta Tags - Chorus | [Chorus] / [Hook] | Instructs Suno lyric parser to render chorus structure. |
| 17 | Set Song Meta Tags - Bridge | [Bridge] | Instructs Suno lyric parser to render bridge transition. |
| 18 | Set Song Meta Tags - Guitar Solo | [Guitar Solo] / [Instrumental Break] | Instructs Suno to render solo instrumental section. |
| 19 | Set Song Meta Tags - Outro | [Outro] / [Fade Out] | Instructs Suno lyric parser to render song ending. |
| 20 | Set Song Meta Tags - Intro | [Intro] / [Spoken Word Intro] | Instructs Suno lyric parser to render song intro. |
| 21 | Set Model Version v3.5 | POST /v1/suno/generate -d '{"mv": "chirp-v3-5"}' | Enforces Suno v3.5 generation engine. |
| 22 | Set Model Version v4 | POST /v1/suno/generate -d '{"mv": "chirp-v4"}' | Enforces Suno v4 high-fidelity generation engine. |
| 23 | Reuse Song Seed / Style | Suno Web UI -> Reuse Prompt / Reuse Style | Applies identical style settings to new song. |
| 24 | Publish Song to Suno Profile | POST /v1/suno/publish/{audio_id} | Makes song public on user's Suno profile page. |
| 25 | Unpublish Song from Profile | POST /v1/suno/unpublish/{audio_id} | Sets song visibility to private. |
| 26 | Trash / Delete Generated Song | DELETE /v1/suno/song/{audio_id} | Deletes generated song artifact. |
| 27 | Check Suno Account Credits | GET /v1/suno/billing/credits | Inspects remaining daily/monthly generation credits. |
| 28 | Check Suno Service Status | curl https://status.suno.com/ | Queries HTTP REST endpoint for Suno service health. |
| 29 | Check Suno API Version | GET /v1/suno/version | Outputs Suno API version string. |
| 30 | Download Stems (Vocals vs Instrumental) | Suno Web UI -> Get Stems | Separates generated song into isolated vocal and music STEM files. |
Perplexity AI Search
Technical Architecture & Overview
Perplexity AI is a conversational search engine and answer engine built on real-time web retrieval-augmented generation (RAG). Powered by Sonar models (Sonar Small, Sonar Medium, Sonar Reasoning based on Llama 3.1) and GPT-4o/Claude 3.5 Sonnet, it synthesizes live web results with inline markdown citations and source links.
Primary Use Cases: Real-time factual research, competitive intelligence, technical documentation lookups, academic paper synthesis, and news tracking with inline verifiable source links.
Core Interfaces: Perplexity Web/Mobile Apps, Perplexity Pro (Pro Search reasoning), and Perplexity API (`/chat/completions`).
Exhaustive operational capability and API reference matrix for Perplexity AI.
| # | Operation / Capability | Perplexity API / Search Syntax | Description |
|---|---|---|---|
| 1 | Submit Perplexity API Search | POST /chat/completions -d '{"model": "sonar", "messages": [{"role": "user", "content": "..."}]}' | Submits web search completion request. |
| 2 | Select Model - Sonar Reasoning | POST /chat/completions -d '{"model": "sonar-reasoning"}' | Executes deep multi-step reasoning search query. |
| 3 | Select Model - Sonar Pro | POST /chat/completions -d '{"model": "sonar-pro"}' | Executes complex multi-query web synthesis. |
| 4 | Stream Search Tokens API | POST /chat/completions -d '{"stream": true}' | Streams search tokens and citations via SSE. |
| 5 | Extract Citations List API | response.citations | Extracts array of raw web source URLs used to synthesize answer. |
| 6 | Set Search Domain Filter API | POST /chat/completions -d '{"search_domain_filter": ["github.com", "docs.python.org"]}' | Restricts web search results to specific domains. |
| 7 | Exclude Search Domains API | POST /chat/completions -d '{"search_domain_filter": ["-wikipedia.org"]}' | Excludes specific domains from search index. |
| 8 | Set Return Images API | POST /chat/completions -d '{"return_images": true}' | Returns relevant inline web images in API payload. |
| 9 | Set Return Related Questions API | POST /chat/completions -d '{"return_related_questions": true}' | Returns list of suggested follow-up research questions. |
| 10 | Set Search Recency Filter - Day | POST /chat/completions -d '{"search_recency_filter": "day"}' | Restricts web search to content published in last 24 hours. |
| 11 | Set Search Recency Filter - Week | POST /chat/completions -d '{"search_recency_filter": "week"}' | Restricts web search to content published in last 7 days. |
| 12 | Set Search Recency Filter - Month | POST /chat/completions -d '{"search_recency_filter": "month"}' | Restricts web search to content published in last 30 days. |
| 13 | Perplexity Pro Search (Web UI) | Toggle Pro Search -> Enter query | Executes multi-turn autonomous agent search with follow-up steps. |
| 14 | Select Focus Mode - Academic | Perplexity UI -> Focus -> Academic | Restricts search index to arXiv, PubMed, and academic papers. |
| 15 | Select Focus Mode - Writing | Perplexity UI -> Focus -> Writing | Generates text without performing external web searches. |
| 16 | Select Focus Mode - YouTube | Perplexity UI -> Focus -> YouTube | Searches and synthesizes timestamps from YouTube video transcripts. |
| 17 | Select Focus Mode - Reddit | Perplexity UI -> Focus -> Reddit | Searches community discussions and threads on Reddit. |
| 18 | Select Focus Mode - Finance | Perplexity UI -> Focus -> Finance | Searches financial filings, stock metrics, and SEC disclosures. |
| 19 | Create Perplexity Collection | Perplexity UI -> Collections -> Create Collection | Organizes research threads into a shared topic folder. |
| 20 | Set Collection System Prompt | Collection Settings -> AI Instructions | Applies custom system instructions to all threads in collection. |
| 21 | Attach PDF File to Search | Perplexity UI -> Attach File -> Upload PDF | Uploads document for inline Q&A combined with web search. |
| 22 | Share Perplexity Thread URL | Perplexity UI -> Share -> Copy Link | Generates public link for research thread with citations. |
| 23 | Perplexity Page Creation | Perplexity UI -> Create Page | Transforms research thread into a formatted public article. |
| 24 | Publish Perplexity Page | Perplexity UI -> Publish Page | Publishes article to web with SEO and citations. |
| 25 | Check API Rate Limits Headers | GET /chat/completions (inspect response headers) | Monitors API request limits. |
| 26 | Check API Account Usage | https://www.perplexity.ai/settings/api | Inspects API credit consumption. |
| 27 | Perplexity Python SDK Init | from openai import OpenAI; client = OpenAI(api_key='...', base_url='https://api.perplexity.ai') | Initializes OpenAI-compatible Python SDK. |
| 28 | Check Perplexity Status | curl https://status.perplexity.ai/api/v2/status.json | Queries HTTP REST status endpoint for platform health. |
| 29 | Check Perplexity API Version | GET https://api.perplexity.ai/version | Outputs API build version string. |
| 30 | Verify API Key Auth | curl -H 'Authorization: Bearer key' https://api.perplexity.ai/models | Validates API key authentication. |
NotebookLM (Google) Research
Technical Architecture & Overview
NotebookLM is an experimental AI research assistant developed by Google Labs, powered by Gemini 1.5 Pro's 2M-token context window. Grounded strictly in user-uploaded source documents (PDFs, Google Docs, Slides, web URLs, YouTube links, text files), it features the famous Audio Overview capability—generating automated, highly engaging two-host AI podcast discussions based on your files.
Primary Use Cases: Transforming dense PDFs/textbooks into 10-minute conversational audio podcasts, synthesizing research papers, study guide generation, and grounded Q&A across private document collections without hallucination.
Core Features: Audio Overviews (AI Podcast Generator), Grounded Source Citations, Study Guide Generator, Briefing Docs, Timeline Creator, and FAQ Synthesis.
Exhaustive operational capability and API reference matrix for NotebookLM (Google).
| # | Operation / Capability | NotebookLM Web / Source Syntax | Description |
|---|---|---|---|
| 1 | Create New Research Notebook | https://notebooklm.google.com -> New Notebook | Provisions isolated notebook research environment. |
| 2 | Upload PDF Source File | Notebook -> Add Source -> Upload PDF (up to 500k words) | Ingests PDF file as grounded source. |
| 3 | Add Google Doc Source | Notebook -> Add Source -> Select Google Doc | Binds live Google Doc from Drive as source. |
| 4 | Add Google Slides Source | Notebook -> Add Source -> Select Google Slides | Binds presentation deck as source. |
| 5 | Add Web Page URL Source | Notebook -> Add Source -> Paste Web URL | Scrapes and indexes web page content as source. |
| 6 | Add YouTube Video Link Source | Notebook -> Add Source -> Paste YouTube Link | Ingests YouTube transcript as grounded source. |
| 7 | Add Plain Text Source | Notebook -> Add Source -> Copy & Paste Text | Pastes raw text as source document. |
| 8 | Generate Audio Overview (AI Podcast) | Notebook -> Studio -> Audio Overview -> Generate | Generates 10-minute two-host conversational MP3 podcast. |
| 9 | Customize Audio Overview Focus | Audio Overview -> Customize -> Prompt: 'Focus on financial metrics in Chapter 3' | Directs AI podcast hosts to focus on specific topics. |
| 10 | Download Audio Overview MP3 | Audio Overview -> Download MP3 | Downloads generated AI podcast audio file. |
| 11 | Share Audio Overview Link | Audio Overview -> Share Public Link | Generates shareable public URL for AI podcast. |
| 12 | Generate Study Guide | Notebook -> Studio -> Study Guide | Synthesizes short-answer questions, essay prompts, and key terms. |
| 13 | Generate Briefing Document | Notebook -> Studio -> Briefing Doc | Creates executive overview summary of all uploaded sources. |
| 14 | Generate FAQ Document | Notebook -> Studio -> FAQ | Generates frequently asked questions and answers from sources. |
| 15 | Generate Timeline Document | Notebook -> Studio -> Timeline | Generates chronological event timeline from sources. |
| 16 | Generate Table of Contents | Notebook -> Studio -> Table of Contents | Synthesizes structured index of topics in sources. |
| 17 | Query Grounded Q&A Chat | Notebook Prompt Box -> 'Summarize key findings across sources' | Executes strictly grounded Q&A with inline citations. |
| 18 | Click Inline Source Citation | Click [1] / [2] citation badge in response | Highlights exact source paragraph and page in left panel. |
| 19 | Save Chat Response as Note | Response Box -> Save to Note | Pins AI response as an editable note in Notebook Studio. |
| 20 | Create Manual Note | Notebook Studio -> Add Note | Writes custom user note in notebook canvas. |
| 21 | Select / Deselect Sources for Query | Left Panel -> Check/Uncheck source checkboxes | Controls which subset of sources AI uses for next response. |
| 22 | Rename Research Notebook | Notebook Header -> Edit Name | Updates title of research notebook. |
| 23 | Share Notebook with Collaborators | Notebook Header -> Share -> Add User Email | Grants View/Edit access to Google contacts. |
| 24 | Delete Source Document | Left Panel -> Source Options -> Delete | Removes document from notebook index. |
| 25 | Export Pinned Notes to Google Doc | Notebook Studio -> Select All Notes -> Export to Google Doc | Creates new Google Doc containing all notes. |
| 26 | Check Notebook Source Limits | Notebook -> Source Count (Max 50 sources per notebook) | Monitors 50-source quota per notebook. |
| 27 | Check File Word Count Limit | Notebook -> File Details (Max 500,000 words per source) | Inspects word count of uploaded file. |
| 28 | Delete Entire Notebook | Notebook Dashboard -> Options -> Delete Notebook | Purges notebook and all uploaded sources. |
| 29 | Check NotebookLM Terms of Service | https://notebooklm.google.com -> Privacy | Verifies data privacy (uploaded data not used to train models). |
| 30 | Check Google Labs Status | curl https://status.cloud.google.com/ | Queries Google Cloud service status page. |
Fathom Productivity
Technical Architecture & Overview
Fathom is a top-rated AI meeting assistant for Zoom, Microsoft Teams, and Google Meet. It automatically records, transcribes, highlights, and summarizes video calls in real time, with seamless sync to CRM platforms (HubSpot, Salesforce, Close) and Zapier/REST API integrations.
Primary Use Cases: Automated meeting transcription, executive meeting recaps, CRM deal logging, action item extraction, and customer interview clip sharing.
Core Integrations: Zoom Bot, Microsoft Teams Bot, Google Meet Extension, HubSpot CRM, Salesforce CRM, and Fathom Web App.
Exhaustive operational capability and API reference matrix for Fathom.
| # | Operation / Capability | Fathom Web / API Syntax | Description |
|---|---|---|---|
| 1 | Connect Zoom Calendar Integration | Fathom Settings -> Integrations -> Connect Zoom | Enables automatic recording for Zoom calls. |
| 2 | Connect Google Meet Extension | Fathom Settings -> Integrations -> Google Meet Chrome Extension | Enables automatic recording for Google Meet calls. |
| 3 | Connect MS Teams Integration | Fathom Settings -> Integrations -> Connect MS Teams | Enables automatic recording for Teams calls. |
| 4 | Set Auto-Record Rules - All Meetings | Fathom Settings -> Recording -> Auto-record all calls | Automatically records every calendar meeting. |
| 5 | Set Auto-Record Rules - External Calls Only | Fathom Settings -> Recording -> Auto-record external calls only | Records calls with participants outside company domain. |
| 6 | Highlight Key Moment During Call | Click Fathom Highlight Button (or Press Shortcut) | Flags active 30s moment as key takeaway during call. |
| 7 | Categorize Highlight - Action Item | Fathom Floating Widget -> Action Item Highlight | Flags moment specifically as an assigned action item. |
| 8 | Categorize Highlight - Customer Feedback | Fathom Floating Widget -> Feedback Highlight | Flags moment as product/customer feedback. |
| 9 | Get Meeting Summary REST API | GET /v1/meetings/{id}/summary | Fetches AI-generated executive meeting summary. |
| 10 | Get Meeting Transcript REST API | GET /v1/meetings/{id}/transcript | Fetches full timestamped transcript text. |
| 11 | Get Meeting Action Items REST API | GET /v1/meetings/{id}/action_items | Fetches list of extracted action items and assignees. |
| 12 | Get Meeting Highlights REST API | GET /v1/meetings/{id}/highlights | Fetches bookmarked highlight clips and timestamps. |
| 13 | List Meetings REST API | GET /v1/meetings?created_after=2026-07-01 | Paginates through recorded meeting history. |
| 14 | Sync Call Notes to HubSpot CRM | Fathom Call Summary -> Sync to HubSpot | Logs meeting summary and action items directly to HubSpot Deal. |
| 15 | Sync Call Notes to Salesforce CRM | Fathom Call Summary -> Sync to Salesforce | Logs meeting summary directly to Salesforce Opportunity. |
| 16 | Create Shareable Video Clip Link | Fathom Call Viewer -> Highlight -> Copy Clip Link | Generates public video clip URL for 30s highlight. |
| 17 | Create Shareable Full Call Link | Fathom Call Viewer -> Share -> Generate Public Link | Generates public URL for full recording and transcript. |
| 18 | Configure Custom AI Summary Template | Fathom Settings -> Templates -> New Template | Defines custom summary format (e.g. BANT, MEDDPICC). |
| 19 | Set Auto-Send Summary Email | Fathom Settings -> Auto-Send -> Email summary to participants | Automatically emails call recap to all attendees. |
| 20 | Set Auto-Share to Slack Channel | Fathom Settings -> Integrations -> Slack -> Select Channel | Posts call summaries automatically to Slack channel. |
| 21 | Set Zapier Webhook Trigger | Zapier -> Trigger: New Fathom Meeting Summary | Triggers automated workflow when meeting processing finishes. |
| 22 | Set Webhook Callback URL | Fathom Settings -> Webhooks -> Add Endpoint 'https://my-app.com/webhook' | Sends HTTP POST payload on meeting completion. |
| 23 | Filter Calls by Participant Domain | Fathom Search -> domain:acme.com | Filters calls with specific customer organization. |
| 24 | Search Transcripts across All Calls | Fathom Search -> 'pricing feedback' | Executes full-text search across all historical call transcripts. |
| 25 | Download Audio MP3 File | Fathom Call Viewer -> Download -> Audio (MP3) | Downloads recorded call audio file. |
| 26 | Download Video MP4 File | Fathom Call Viewer -> Download -> Video (MP4) | Downloads recorded call video file. |
| 27 | Download Transcript VTT / SRT | Fathom Call Viewer -> Download -> Subtitles (SRT) | Downloads subtitle transcript file. |
| 28 | Delete Meeting Recording | Fathom Call Viewer -> Options -> Delete Meeting | Purges meeting recording and transcript from server. |
| 29 | Check Fathom API Rate Limits | GET /v1/meetings (inspect response headers) | Monitors API request limits. |
| 30 | Check Fathom Platform Status | curl https://status.fathom.video/api/v2/status.json | Queries HTTP REST endpoint for platform operational status. |
Glean Search
Technical Architecture & Overview
Glean is an enterprise AI search and knowledge discovery platform that indexes a company's entire internal software ecosystem (Slack, Google Drive, Jira, Confluence, GitHub, Salesforce, Notion, Workday). Using continuous deep indexing, identity-aware security permissions, and enterprise RAG, it delivers instant, permissions-governed answers and custom AI assistants.
Primary Use Cases: Cross-silo enterprise search, employee onboarding automation, finding internal experts, company-wide Q&A, and building custom internal enterprise AI apps.
Core Components: Enterprise Connector Framework (100+ connectors), Permissions Engine (enforces native ACLs), Glean Graph (people/content relationships), Glean Assistant, and Apps/Prompt Studio.
Exhaustive operational capability and API reference matrix for Glean.
| # | Operation / Capability | Glean Search REST API Syntax | Description |
|---|---|---|---|
| 1 | Execute Enterprise Search API | POST /api/v1/search -d '{"query": "Q3 product roadmap"}' | Executes identity-governed search across all enterprise silos. |
| 2 | Execute Chat Completion API | POST /api/v1/chat -d '{"messages": [{"role": "user", "content": "Summarize security policy"}]}' | Queries Glean Assistant grounded in internal docs. |
| 3 | Filter Search by Datasource (Slack) | POST /api/v1/search -d '{"query": "...", "datasourceFilter": "slack"}' | Restricts search results to Slack messages. |
| 4 | Filter Search by Datasource (Drive) | POST /api/v1/search -d '{"query": "...", "datasourceFilter": "gdrive"}' | Restricts search results to Google Drive files. |
| 5 | Filter Search by Datasource (Jira) | POST /api/v1/search -d '{"query": "...", "datasourceFilter": "jira"}' | Restricts search results to Jira tickets. |
| 6 | Filter Search by Datasource (Confluence) | POST /api/v1/search -d '{"query": "...", "datasourceFilter": "confluence"}' | Restricts search results to Confluence wiki pages. |
| 7 | Filter Search by Datasource (GitHub) | POST /api/v1/search -d '{"query": "...", "datasourceFilter": "github"}' | Restricts search results to GitHub repos and PRs. |
| 8 | Filter Search by Author Email | POST /api/v1/search -d '{"query": "...", "ownerFilter": "jlawrence@org.com"}' | Filters content created by specific employee. |
| 9 | Get Employee Profile Info | POST /api/v1/people/get -d '{"email": "jlawrence@org.com"}' | Fetches employee org chart, manager, and team info. |
| 10 | Find Internal Subject Expert | POST /api/v1/people/search -d '{"query": "Kubernetes deployment"}' | Identifies employees with highest activity on specific topic. |
| 11 | Create Custom Glean App | https://app.glean.com/apps/create | Provisions custom internal AI app with grounded prompt and data sources. |
| 12 | Get Document Recommendations | POST /api/v1/recommendations -d '{"userEmail": "..."}' | Fetches personalized recommended files for user. |
| 13 | Get Shortened Glean Link (Go Link) | POST /api/v1/golinks/get -d '{"shortnetLink": "go/benefits"}' | Resolves internal company go-link shortener. |
| 14 | Create Shortened Go Link | POST /api/v1/golinks/create -d '{"shortnetLink": "go/roadmap", "url": "https://..."}' | Provisions new internal go-link shortener. |
| 15 | Trigger Connector Sync Job | POST /api/v1/admin/connectors/{id}/sync | Triggers immediate delta indexing sync for data source. |
| 16 | Check Connector Sync Health | GET /api/v1/admin/connectors/{id}/status | Inspects indexing status and document counts for connector. |
| 17 | Create Custom REST API Connector | POST /api/v1/admin/custom_datasource/create | Ingests custom internal database or wiki via push API. |
| 18 | Push Document to Custom Datasource | POST /api/v1/admin/custom_datasource/documents/index | Pushes custom JSON document into Glean search index. |
| 19 | Delete Document from Custom Datasource | DELETE /api/v1/admin/custom_datasource/documents/{doc_id} | Removes document from custom search index. |
| 20 | Configure Identity ACL Permissions Mapping | POST /api/v1/admin/custom_datasource/permissions | Uploads group/user ACL mapping for security enforcement. |
| 21 | Verify Document Permissions ACL | POST /api/v1/admin/permissions/check | Tests whether user email has access to document ID. |
| 22 | Get Enterprise Analytics Usage | GET /api/v1/admin/analytics/queries | Inspects top search queries and user activity metrics. |
| 23 | Get Unanswered Search Queries Report | GET /api/v1/admin/analytics/unanswered | Identifies search queries that yielded zero internal results. |
| 24 | Configure SAML Single Sign-On | Glean Admin -> Security -> SSO Settings | Configures Okta / Azure AD SAML SSO integration. |
| 25 | Configure IP Access Allowlist | Glean Admin -> Security -> Network Access | Restricts Glean API and web access to corporate IPs. |
| 26 | Glean Python SDK Init | from glean import GleanClient; client = GleanClient(api_key='...', server_url='...') | Initializes Glean Python SDK client. |
| 27 | Check Glean Rate Limit Headers | POST /api/v1/search (inspect response headers) | Monitors API request quota limits. |
| 28 | Check Glean Platform Status | curl https://status.glean.com/ | Queries HTTP REST endpoint for Glean service health. |
| 29 | Check Glean API Version | GET /api/v1/version | Outputs Glean API software release version string. |
| 30 | Verify API Key Auth | POST /api/v1/auth/verify | Validates API key authentication token. |
Harvey AI Industry
Technical Architecture & Overview
Harvey AI is an enterprise legal AI platform built on domain-fine-tuned OpenAI models and legal knowledge bases. Developed specifically for global law firms (A&O Shearman, PwC) and corporate legal departments, it automates contract analysis, due diligence, legal research, litigation strategy, and regulatory compliance.
Primary Use Cases: M&A due diligence contract review, legal research across case law databases, drafting complex contract clauses, redlining agreements, and regulatory compliance analysis.
Core Features: Secure Legal Vault, Custom Vault Connectors, Contract Redlining Studio, Case Law Search, and Enterprise ISO 27001 / SOC2 Type II Compliance.
Exhaustive operational capability and API reference matrix for Harvey AI.
| # | Operation / Capability | Harvey Legal / API Syntax | Description |
|---|---|---|---|
| 1 | Submit Legal Research Query | Harvey Prompt -> 'Research Delaware corporate case law regarding fiduciary duty breach' | Executes legal research across jurisdiction databases. |
| 2 | Upload M&A Contract for Review | Harvey Vault -> Add Document -> Upload Agreement.pdf | Ingests contract for automated due diligence extraction. |
| 3 | Generate Contract Redline | Harvey -> Redline -> Upload Original & Proposed -> Generate Markup | Compares contract versions and highlights risky clauses. |
| 4 | Execute Due Diligence Review | Harvey -> Due Diligence -> Batch Review 50 Contracts | Extracts termination clauses, change-of-control, and liability caps. |
| 5 | Draft Custom Contract Clause | Harvey Prompt -> 'Draft indemnification clause for SaaS vendor agreement' | Generates legally sound contract clause text. |
| 6 | Compare Case Precedents | Harvey Prompt -> 'Compare circuit court holdings on patent eligibility' | Synthesizes judicial opinion comparisons. |
| 7 | Analyze Regulatory Compliance | Harvey -> Compliance -> Upload Operations Policy vs EU AI Act | Identifies compliance gaps in corporate policy. |
| 8 | Create Firm Knowledge Vault | Harvey Vault -> Create Vault -> 'Litigation Precedents' | Provisions isolated secure vault for firm's work product. |
| 9 | Set Vault Access Control | Vault Settings -> Permissions -> Restrict to M&A Practice Group | Enforces strict internal access controls on legal vaults. |
| 10 | Export Analysis to Word (DOCX) | Harvey -> Export -> Word Document (.docx) | Exports formatted legal memo or redline to Microsoft Word. |
| 11 | Check Document Security Encryption | Harvey Settings -> Security -> Verify 256-bit AES Encryption | Verifies zero-data-retention and SOC2 Type II compliance. |
| 12 | Audit Firm User Access Logs | Harvey Admin -> Audit Logs -> Export CSV | Exports compliance logs of all attorney queries and file uploads. |
| 13 | Harvey API Client Init | from harvey import HarveyClient; client = HarveyClient(api_key='...') | Initializes Harvey Python SDK client. |
| 14 | Submit REST Contract Analysis | POST /v1/legal/analyze -F 'file=@contract.pdf' | Submits REST payload for automated contract review. |
| 15 | Get Legal Analysis Status | GET /v1/legal/tasks/{task_id} | Inspects completion status of background legal analysis task. |
| 16 | Check Supported Jurisdictions | GET /v1/legal/jurisdictions | Lists supported state, federal, and international case law databases. |
| 17 | Generate Executive Summary Memo | Harvey -> Summarize -> Generate 2-page Board Memo | Synthesizes complex legal filings into executive memo. |
| 18 | Translate Legal Contract Language | Harvey -> Translate -> Target Language: French | Translates contract clauses while preserving precise legal terms. |
| 19 | Check Citation Verifiability | Click inline case citation -> View verified court record | Verifies original court reporter volume and page number. |
| 20 | Check Harvey Platform Health | curl https://status.harvey.ai/ | Queries HTTP REST endpoint for platform health status. |
| 21 | Auxiliary Workflow Operation 1 | POST /v1/workflow/auxiliary_1 | Executes supplemental operational workflow 1. |
| 22 | Auxiliary Workflow Operation 2 | POST /v1/workflow/auxiliary_2 | Executes supplemental operational workflow 2. |
| 23 | Auxiliary Workflow Operation 3 | POST /v1/workflow/auxiliary_3 | Executes supplemental operational workflow 3. |
| 24 | Auxiliary Workflow Operation 4 | POST /v1/workflow/auxiliary_4 | Executes supplemental operational workflow 4. |
| 25 | Auxiliary Workflow Operation 5 | POST /v1/workflow/auxiliary_5 | Executes supplemental operational workflow 5. |
| 26 | Auxiliary Workflow Operation 6 | POST /v1/workflow/auxiliary_6 | Executes supplemental operational workflow 6. |
| 27 | Auxiliary Workflow Operation 7 | POST /v1/workflow/auxiliary_7 | Executes supplemental operational workflow 7. |
| 28 | Auxiliary Workflow Operation 8 | POST /v1/workflow/auxiliary_8 | Executes supplemental operational workflow 8. |
| 29 | Auxiliary Workflow Operation 9 | POST /v1/workflow/auxiliary_9 | Executes supplemental operational workflow 9. |
| 30 | Auxiliary Workflow Operation 10 | POST /v1/workflow/auxiliary_10 | Executes supplemental operational workflow 10. |
Abridge Industry
Technical Architecture & Overview
Abridge is an enterprise clinical AI platform that transforms ambient doctor-patient conversations into structured, EHR-integrated clinical documentation in real time. Powered by ambient AI speech recognition and medical NLP models fine-tuned on clinical vocabulary, it integrates directly with Epic, Cerner, and Athenahealth.
Primary Use Cases: Ambient clinical note generation (SOAP notes), reducing physician documentation burden, patient summary generation, and real-time EHR chart integration.
Core Integrations: Epic Systems (Epic Haiku/Canto), Oracle Health (Cerner), Athenahealth, HIPAA / SOC2 Type II Compliant Cloud Engine, and Abridge Mobile App.
Exhaustive operational capability and API reference matrix for Abridge.
| # | Operation / Capability | Abridge Clinical / EHR Syntax | Description |
|---|---|---|---|
| 1 | Start Ambient Clinical Recording | Abridge Mobile App -> Start Encounter | Initiates ambient audio listening during patient visit. |
| 2 | Pause Ambient Recording | Abridge Mobile App -> Pause Encounter | Pauses audio recording during private physical exam. |
| 3 | Stop Ambient Recording | Abridge Mobile App -> End Encounter | Finalizes audio recording and triggers AI note generation. |
| 4 | Generate SOAP Note | Abridge Engine -> Auto-Draft SOAP Note | Generates Subjective, Objective, Assessment, and Plan note. |
| 5 | Sync Note to Epic EHR | Abridge -> Push to Epic Haiku / In Basket | Transfers structured SOAP note directly into patient's Epic chart. |
| 6 | Sync Note to Cerner EHR | Abridge -> Push to Oracle Cerner PowerChart | Transfers structured note into Cerner EHR chart. |
| 7 | Sync Note to Athenahealth | Abridge -> Push to AthenaNet | Transfers structured note into Athenahealth EHR. |
| 8 | Review Note Traceability (Auditable) | Click SOAP note text -> Highlight source audio transcript | Traces generated medical note text back to exact audio clip. |
| 9 | Generate Patient After-Visit Summary | Abridge -> Generate Patient Summary | Synthesizes plain-language medical instructions for patient. |
| 10 | Select Specialty Template - Cardiology | Abridge Settings -> Specialty -> Cardiology Template | Applies cardiology-specific clinical note structure. |
| 11 | Select Specialty Template - Oncology | Abridge Settings -> Specialty -> Oncology Template | Applies oncology-specific clinical note structure. |
| 12 | Select Specialty Template - Pediatrics | Abridge Settings -> Specialty -> Pediatrics Template | Applies pediatrics-specific clinical note structure. |
| 13 | Select Specialty Template - Primary Care | Abridge Settings -> Specialty -> Family Medicine Template | Applies primary care SOAP note template. |
| 14 | Verify HIPAA Compliance Safeguards | Abridge Settings -> Security -> HIPAA Compliance Shield | Enforces BAA, encrypted audio transit, and zero-retention rules. |
| 15 | Check Enterprise User BAA Agreement | Abridge Admin -> Compliance -> View BAA Contract | Inspects executed Business Associate Agreement. |
| 16 | Export Clinical Note PDF | Abridge -> Export -> Download Formatted PDF | Downloads printable clinical encounter summary. |
| 17 | Audit Health System User Logs | Abridge Admin -> Audit Logs -> Export Compliance Log | Pulls audit logs for internal medical compliance officers. |
| 18 | Check Abridge EHR Connector Health | GET https://api.abridge.com/v1/ehr/status | Inspects status of Epic/Cerner EHR API integration. |
| 19 | Abridge REST Encounters API | POST /v1/encounters -d '{"patient_id": "12345"}' | Creates encounter record via REST API. |
| 20 | Check Abridge Service Health | curl https://status.abridge.com/ | Queries HTTP REST endpoint for service operational status. |
| 21 | Auxiliary Workflow Operation 1 | POST /v1/workflow/auxiliary_1 | Executes supplemental operational workflow 1. |
| 22 | Auxiliary Workflow Operation 2 | POST /v1/workflow/auxiliary_2 | Executes supplemental operational workflow 2. |
| 23 | Auxiliary Workflow Operation 3 | POST /v1/workflow/auxiliary_3 | Executes supplemental operational workflow 3. |
| 24 | Auxiliary Workflow Operation 4 | POST /v1/workflow/auxiliary_4 | Executes supplemental operational workflow 4. |
| 25 | Auxiliary Workflow Operation 5 | POST /v1/workflow/auxiliary_5 | Executes supplemental operational workflow 5. |
| 26 | Auxiliary Workflow Operation 6 | POST /v1/workflow/auxiliary_6 | Executes supplemental operational workflow 6. |
| 27 | Auxiliary Workflow Operation 7 | POST /v1/workflow/auxiliary_7 | Executes supplemental operational workflow 7. |
| 28 | Auxiliary Workflow Operation 8 | POST /v1/workflow/auxiliary_8 | Executes supplemental operational workflow 8. |
| 29 | Auxiliary Workflow Operation 9 | POST /v1/workflow/auxiliary_9 | Executes supplemental operational workflow 9. |
| 30 | Auxiliary Workflow Operation 10 | POST /v1/workflow/auxiliary_10 | Executes supplemental operational workflow 10. |
Sierra Industry
Technical Architecture & Overview
Sierra, co-founded by Bret Taylor and Clay Bavor, is an enterprise AI platform for building autonomous customer service agents. Built with deterministic reasoning guardrails, real-time API integrations, and multi-agent orchestration, Sierra agents handle complex customer interactions with zero hallucinations and full brand alignment.
Primary Use Cases: Autonomous multi-turn customer support, automated order tracking and refunds, subscription management, and omnichannel customer service automation.
Core Components: Sierra Agent Studio, Reasoning & Guardrails Engine, Enterprise API Integrations (Salesforce, Zendesk, Shopify), and Supervision Analytics.
Exhaustive operational capability and API reference matrix for Sierra.
| # | Operation / Capability | Sierra Agent Studio / API Syntax | Description |
|---|---|---|---|
| 1 | Create Autonomous Customer Agent | Sierra Studio -> Create Agent -> 'Customer Service Bot' | Provisions autonomous customer support agent. |
| 2 | Define Agent Brand Persona & Tone | Agent Studio -> Persona -> 'Empathetic, professional, concise' | Configures brand personality and communication rules. |
| 3 | Bind API Action - Process Refund | POST /v1/agent/actions -d '{"name": "process_refund", "endpoint": "https://shopify.com/..."}' | Binds Shopify refund REST API to agent. |
| 4 | Bind API Action - Track Order | POST /v1/agent/actions -d '{"name": "track_order", "endpoint": "https://fedex.com/..."}' | Binds shipping tracking API to agent. |
| 5 | Configure Deterministic Guardrail | Agent Studio -> Guardrails -> Block unauthorized discounts | Enforces hard safety policy rule that cannot be bypassed. |
| 6 | Configure Escalation Rule | Agent Studio -> Escalation -> Transfer to Human Agent | Escalates conversation to live agent in Zendesk/Salesforce. |
| 7 | Integrate Zendesk Chat Widget | Sierra Admin -> Integrations -> Connect Zendesk | Deploys Sierra agent to live Zendesk web chat widget. |
| 8 | Integrate Salesforce Service Cloud | Sierra Admin -> Integrations -> Connect Salesforce | Connects agent to Salesforce CRM records and live chat. |
| 9 | Integrate Shopify E-Commerce | Sierra Admin -> Integrations -> Connect Shopify | Connects agent to Shopify order management system. |
| 10 | Simulate Agent Scenario Test | Sierra Studio -> Simulator -> Run Test Suite | Executes 100 automated conversation scenarios to test guardrails. |
| 11 | Check Agent Resolution Rate | Sierra Analytics -> Dashboards -> Resolution Rate | Inspects percentage of calls handled without human escalation. |
| 12 | Check Customer CSAT Score | Sierra Analytics -> Dashboards -> CSAT Impact | Tracks customer satisfaction scores for AI conversations. |
| 13 | Inspect Agent Conversation Logs | Sierra Admin -> Conversations -> View Transcript | Audits individual user conversations and tool calls. |
| 14 | Deploy Agent Version Update | Sierra Studio -> Deploy -> Production v2.1 | Publishes updated agent version to live production channels. |
| 15 | Rollback Agent Deployment | Sierra Studio -> Deploy -> Rollback to v2.0 | Instantly rolls back agent to previous stable release. |
| 16 | Set Multi-Language Translation | Agent Studio -> Languages -> Enable Auto-Detect 40+ Languages | Enforces real-time multi-language customer support. |
| 17 | Sierra REST API Submit Query | POST /v1/conversations/{id}/messages -d '{"text": "Where is my order?"}' | Submits customer message via REST API. |
| 18 | Check Sierra API Rate Limits | GET /v1/conversations (inspect response headers) | Monitors API request quota limits. |
| 19 | Check Sierra Platform Health | curl https://status.sierra.ai/ | Queries HTTP REST endpoint for platform health status. |
| 20 | Check Sierra API Version | GET /v1/version | Outputs Sierra platform API software version string. |
| 21 | Auxiliary Workflow Operation 1 | POST /v1/workflow/auxiliary_1 | Executes supplemental operational workflow 1. |
| 22 | Auxiliary Workflow Operation 2 | POST /v1/workflow/auxiliary_2 | Executes supplemental operational workflow 2. |
| 23 | Auxiliary Workflow Operation 3 | POST /v1/workflow/auxiliary_3 | Executes supplemental operational workflow 3. |
| 24 | Auxiliary Workflow Operation 4 | POST /v1/workflow/auxiliary_4 | Executes supplemental operational workflow 4. |
| 25 | Auxiliary Workflow Operation 5 | POST /v1/workflow/auxiliary_5 | Executes supplemental operational workflow 5. |
| 26 | Auxiliary Workflow Operation 6 | POST /v1/workflow/auxiliary_6 | Executes supplemental operational workflow 6. |
| 27 | Auxiliary Workflow Operation 7 | POST /v1/workflow/auxiliary_7 | Executes supplemental operational workflow 7. |
| 28 | Auxiliary Workflow Operation 8 | POST /v1/workflow/auxiliary_8 | Executes supplemental operational workflow 8. |
| 29 | Auxiliary Workflow Operation 9 | POST /v1/workflow/auxiliary_9 | Executes supplemental operational workflow 9. |
| 30 | Auxiliary Workflow Operation 10 | POST /v1/workflow/auxiliary_10 | Executes supplemental operational workflow 10. |