Phase 9: Team Workflows & AI-Native Process · 50 min · Claude Code · Python

Process Design for Your Product

A team operating model that only exists as tribal knowledge in the founding engineer's head isn't a process, it's a single point of failure waiting for its first vacation.

Real-world application: Producing a concrete, reusable operating-model document for a real system — not just following an existing team's process — is exactly the artifact that distinguishes someone who can set up AI-native engineering practice for a new team, not just work inside one someone else built.

What you will learn

Synthesize this phase's practices (spec governance, drift enforcement, AI code review, context/knowledge management) into one written operating model
Write a team workflow playbook that a new engineer could follow without asking a founding member to explain it verbally
Validate a playbook for completeness against the required sections a real AI-native team operating model needs
Apply the phase's principles to your own course-long product rather than a hypothetical team

Introduction

Process Design for Your Product

Objective

Write a team workflow playbook for your course-long product covering all four required sections, and build a validator that checks a playbook for missing or vague (unfalsifiable) sections.

Unlock the full lesson

You've read the first 2 sections. The rest of this lesson covers The Problem, The Concept, Build, Check Yourself, Key Terms & Next — plus a hands-on lab, quiz, and project artifact.

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