AI Engineering/Phase 14/Lesson 42

Capstone: Ship a Reusable Agent Workbench Pack

The mini-track ends with a pack you drop into any repo. Eleven lessons of surfaces compressed into a directory you can `cp -r` and have an agent working reliably the next morning. The capstone is the artifact this curriculum trades on.

Build 1.3 hr Python (stdlib)

Prerequisites: Phases 14 · 31 to 14 · 41

#Learning Objectives

Package the seven workbench surfaces into one drop-in directory.
Pin the schemas, scripts, and templates so a new repo gets a known-good baseline.
Add a single installer script that lays down the pack idempotently.
Decide what stays in the pack and what stays out, defending the cut for each.

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The text and code of this lesson are based on AI Engineering from Scratch by Rohit Ghumare, MIT licensed.