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Topic

How to Build AI Agents

Most 'build an AI agent' tutorials stop at a demo that breaks in production. This is the applied path: architecture, evals, guardrails, and shipping.

What you'll be able to do

  • Design an agent architecture (planner, executor, tools, memory)
  • Write tool schemas the model actually calls correctly
  • Set up evals BEFORE you write the agent loop
  • Deploy an agent with cost limits, timeouts, and guardrails

Frequently asked questions

How long to build a working agent?

A demo in an afternoon. A production-worthy agent takes ~2 weeks with our lesson plan — most of that time is evals and guardrails, not the loop itself.

Do I need GPT-5 or can I use open models?

Both work. We cover model-agnostic patterns and provide reference code for hosted and local models.