~240 min read · updated 2026-05-10

Build a project

Bring everything together: a real agent that does real work for you, with the production qualities from module 10.

The point of this track isn’t to read 11 modules; it’s to ship an agent that does useful work. This capstone is structured around picking a real problem you actually have and building the agent for it.

This module is being expanded with project templates and worked examples.

Coming in the next revision:

  • Choose a project. Concrete examples by interest:
    • Inbox triage agent — categorize, summarize, draft replies.
    • Code review assistant — read PRs, comment on style/correctness, suggest improvements.
    • Research assistant — multi-source search + synthesis on a topic.
    • Documentation agent — keep internal docs in sync with the codebase.
    • Operations agent — investigate alerts, propose runbook steps.
    • Data analyst — natural-language Q&A over your warehouse.
  • The architecture you’ll build: agent runtime → MCP servers (some pre-built, some custom) → vector memory → eval suite → observability.
  • The non-negotiable production touches: cost ceiling, audit log, regression tests, human approval gate for any irreversible action.
  • Worked end-to-end example. The inbox triage agent built from zero to running daily — code, deployment, eval.

This is where the track ends. If you completed the capstone you’re ahead of 90% of engineers building agents in 2026. The infrastructure is solved; the differentiation is the quality of the engineering. You’re now in a position to either ship an agent product or contribute meaningfully to one.

Where to go from here: