Use cases
Patterns we have shipped
15 production-tested patterns spanning agents, RAG, governance, and embedded chat. Each one shows the architecture, the package mix, and a starting point you can copy.
- Patterns 15
- Shape Architecture, then code
- Language TypeScript
Every page opens with the architecture — which package owns which responsibility — and then walks the implementation step by step. The code is the real shape you would ship, not pseudocode.
HR Self-Service Widget
Embed a Studio-powered HR assistant into an employee portal for policy Q&A, leave requests, onboarding help, and document routing.
Expense Upload & Approval Widget
Let employees upload receipts, extract fields, and submit expense requests through a Studio-powered finance widget embedded in your product.
Mobile Peer Embedded In The App
Run a Studio peer directly inside a mobile app so it can answer users and trigger native app actions such as screen navigation, camera capture, and task execution.
Website Product Advisor Widget
Embed a Studio peer into a public website to qualify visitors, answer pricing questions, and trigger product actions without building a separate bot backend.
Quota-Aware LLM Gateway
Run application traffic through Console with project-scoped quotas, model routing, and request-level visibility for cost control.
Vector RAG Operations Control Plane
Operate RAG pipelines through Console by combining file ingestion, vector index management, embeddings, and chat retrieval in one control surface.
PromptOps And MCP Tool Gateway
Use Console as the control plane for prompt versioning, secure config storage, and converting OpenAPI specs into MCP and tool endpoints.
SRE Incident Response Agent
Build an SRE agent that reads Confluence runbooks, ingests them into Console RAG, searches vector knowledge during incidents, and posts Jira updates through tools.
Agent Development With Tracing
Develop custom agents with Agent SDK and feed execution traces into Console so teams can compare runs, inspect tool behavior, and debug workflows faster.
Autonomous AI Agents
Build agents that plan, execute tools, and deliver structured outputs with full deterministic control and observability.
RAG & Semantic Search
Ingest documents, generate embeddings, and query vector stores through a unified gateway for retrieval-augmented generation.
Customer Support Bot
Deploy conversational AI with streaming responses, human-in-the-loop escalation, guardrails, and tool transparency.
AI-Powered Applications
Integrate AI capabilities into existing applications with OpenAI-compatible APIs, provider routing, and type-safe SDKs.
Multi-Agent Orchestration
Compose multiple specialised agents that hand off tasks, share context, and collaborate on complex workflows.
Enterprise AI Governance
Enforce guardrails, track usage, manage projects, and observe all AI operations from a single control plane.
Browse by theme
The same 15 patterns, grouped by the problem they solve.
Agents and orchestration
- SRE Incident Response Agent — Build an SRE agent that reads Confluence runbooks, ingests them into Console RAG, searches vector knowledge during incidents, and posts Jira updates through tools.
- Agent Development With Tracing — Develop custom agents with Agent SDK and feed execution traces into Console so teams can compare runs, inspect tool behavior, and debug workflows faster.
- Autonomous AI Agents — Build agents that plan, execute tools, and deliver structured outputs with full deterministic control and observability.
- Multi-Agent Orchestration — Compose multiple specialised agents that hand off tasks, share context, and collaborate on complex workflows.
RAG and retrieval
- Vector RAG Operations Control Plane — Operate RAG pipelines through Console by combining file ingestion, vector index management, embeddings, and chat retrieval in one control surface.
- RAG & Semantic Search — Ingest documents, generate embeddings, and query vector stores through a unified gateway for retrieval-augmented generation.
Chat and embedded widgets
- HR Self-Service Widget — Embed a Studio-powered HR assistant into an employee portal for policy Q&A, leave requests, onboarding help, and document routing.
- Expense Upload & Approval Widget — Let employees upload receipts, extract fields, and submit expense requests through a Studio-powered finance widget embedded in your product.
- Mobile Peer Embedded In The App — Run a Studio peer directly inside a mobile app so it can answer users and trigger native app actions such as screen navigation, camera capture, and task execution.
- Website Product Advisor Widget — Embed a Studio peer into a public website to qualify visitors, answer pricing questions, and trigger product actions without building a separate bot backend.
- Customer Support Bot — Deploy conversational AI with streaming responses, human-in-the-loop escalation, guardrails, and tool transparency.
Platform and governance
- Quota-Aware LLM Gateway — Run application traffic through Console with project-scoped quotas, model routing, and request-level visibility for cost control.
- Vector RAG Operations Control Plane — Operate RAG pipelines through Console by combining file ingestion, vector index management, embeddings, and chat retrieval in one control surface.
- PromptOps And MCP Tool Gateway — Use Console as the control plane for prompt versioning, secure config storage, and converting OpenAPI specs into MCP and tool endpoints.
- Agent Development With Tracing — Develop custom agents with Agent SDK and feed execution traces into Console so teams can compare runs, inspect tool behavior, and debug workflows faster.
- AI-Powered Applications — Integrate AI capabilities into existing applications with OpenAI-compatible APIs, provider routing, and type-safe SDKs.
- Enterprise AI Governance — Enforce guardrails, track usage, manage projects, and observe all AI operations from a single control plane.
Products behind these patterns
Agent SDK
Deterministic TypeScript agent runtime — planning, tools, guardrails, sub-agents, and human-in-the-loop.
Agent Server
Serve agents as versioned REST APIs with streaming, auth, storage, and OpenAPI docs.
Console
Self-hosted AI control plane — routing, embeddings, vectors, files, guardrails, and tracing.
Console SDK
Typed TypeScript client for every Console endpoint, with streaming support.
Client SDK
Connect apps to Cognipeer Studio peers, conversations, and client-side tool execution.
Chat UI
React components for a production chat surface — streaming, tool cards, uploads, and theming.
Weighing one of these against an alternative? The product comparisons page puts each Cognipeer product next to the tools teams usually evaluate alongside it.