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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

  • [Glossary] (/resources/glossary/) — Standardized terminology for AI agent systems.
  • [Cheatsheets] (/resources/cheatsheets/) — Compact references for quick lookup during development.
  • [MCP Specification] (/resources/mcp-spec/) — The Model Context Protocol explained with practical usage notes.
  • [Architecture Diagrams] (/resources/architecture-diagrams/) — Reusable system design templates for agent architectures.
  • [Prompt Patterns] (/resources/prompt-patterns/) — A catalog of prompt engineering patterns tailored for agent behavior.
  • [Tool Calling Examples] (/resources/tool-calling-examples/) — Code-first examples of tool definitions and invocation patterns.
  • [Framework Comparison] (/resources/framework-comparison/) — Side-by-side evaluation of major agent frameworks.
  • [Research Papers] (/resources/research-papers/) — Key papers with engineering-focused summaries and takeaways.
  • [Production Checklist] (/resources/production-checklist/) — Comprehensive checklist for deploying agents safely and reliably.

How to use this hub

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

  • Getting started — Begin with the [Glossary] (/resources/glossary/) and [Cheatsheets] (/resources/cheatsheets/) to solidify your mental model and have quick references at hand.
  • Building and integrating — Move to the [MCP Specification] (/resources/mcp-spec/) and [Prompt Patterns] (/resources/prompt-patterns/) when you start wiring tools and designing agent reasoning flows.
  • Scaling and hardening — Use the [Architecture Diagrams] (/resources/architecture-diagrams/) and [Tool Calling Examples] (/resources/tool-calling-examples/) to standardize system design and debug integration issues.
  • Optimizing and shipping — Consult the [Production Checklist] (/resources/production-checklist/), [Framework Comparison] (/resources/framework-comparison/), and [Research Papers] (/resources/research-papers/) when evaluating tradeoffs and preparing for launch.

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.