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Module 4 - AI Planning

Plan your implementation strategy.

Planning phase

The Phase Where Clarity Becomes Structure

2 min read
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The Product Manager Role (Planning Phase)

Why the PM role matters in AI-first development, and how to use it effectively.

3 min read
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Epics & User Stories: How AI Turns Ideas Into Buildable Work

A hands-on, practical walkthrough of epics, user stories, and how the PM role structures work for AI-first engineering.

4 min read
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Acceptance Criteria & Edge Cases

The two pieces of PM work that make AI development predictable, stable, and production-ready.

3 min read
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Dependency Mapping

How product managers prevent AI from building features in the wrong order.

3 min read
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The Architect Role in AI-First Development

What an AI Architect really does, and how their decisions shape every agent and every line of generated code.

4 min read
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Contract-First Design in AI-First Development

Why defining data contracts and API shapes before coding gives AI a stable, predictable playground.

4 min read
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Choosing a Tech Stack for AI-First Work

How to think about your stack as an architectural constraint that makes AI-generated systems coherent instead of chaotic.

4 min read
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Architecture.md – The Blueprint Your AI Needs

Why this artifact feels confusing at first, and why it becomes the single most important document in AI-first development.

4 min read
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Security Acceptance Criteria

A lightweight way for Product Managers to prevent insecure behavior early—without becoming security engineers.

3 min read
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