Skip to main content

Resources Hub for AI Agents

A practical resource hub for building production-grade AI agents. This section collects battle-tested references, diagrams, checklists, and research materials that you can apply directly to your engineering work. No theory without implementation — everything here is selected to help you design, build, and ship reliable agent systems.

What you’ll find here

  • Glossary & terminology — Precise definitions of agent architecture terms to establish a shared vocabulary across your team.
  • Cheat sheets — Condensed, printable references for agent patterns, MCP primitives, and tool calling schemas.
  • MCP & protocol references — Official specification summaries and implementation guides for the Model Context Protocol and related standards.
  • Architecture diagrams — Visual blueprints of common agent topologies: single-agent, supervisor, hierarchical, and mesh.
  • Prompt patterns — Reusable, tested prompt structures for reasoning, planning, tool selection, and self-correction.
  • Tool calling examples — Real-world code samples showing how to define, invoke, and debug tools across providers.
  • Production checklists — Pre-deployment rubrics covering observability, security, cost control, and failure modes.
  • Research papers — Annotated reading lists and implementation notes from influential papers in the agent space.

Core resource categories

How to use this hub

The hub is organized to match different stages of agent engineering maturity:

Each resource category is maintained as a living document, updated as the agent ecosystem evolves. Use them as references, not tutorials — they assume you already understand the fundamentals from the other sections of this handbook.