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The objective of the Rehearsal is to front-load all hard, collaborative thinking before a single line of code is written.

The Goal: Correctness and Completeness

A successful Rehearsal ensures the plan is:
  • Correct: Accurately reflects intent
  • Complete: Addresses all critical areas and gaps
The ROI: Every minute spent here saves ten minutes of patching “AI slop” later.

Essential Topics for Delivery

TopicKey Takeaway
Active Context ManagementYou are responsible for the AI’s “working memory”
Constraint NavigationAI fails when it hits unwritten rules; the Rehearsal makes these rules explicit
Quantitative ValidationThe confidence score is a “gut check” for readiness, not a guarantee of perfection
The “AI-Friendly” MindsetTreat the AI like a smart intern: guide it, don’t just prompt it

The Three Steps

Step 1: Bootstrapping

Building the AI’s world by explicitly directing context creation

Step 2: Idea Shaping

Design and constraint exploration before implementation

Step 3: Confidence Tuning

The pre-flight check to ensure total synchronization
Time Investment: ~75% of the total workflow Why: Getting alignment upfront prevents expensive rework later