> ## Documentation Index
> Fetch the complete documentation index at: https://plantis.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Module 2: The Rehearsal

> Front-loading collaborative thinking before writing code

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

| Topic                         | Key Takeaway                                                                       |
| ----------------------------- | ---------------------------------------------------------------------------------- |
| **Active Context Management** | You are responsible for the AI's "working memory"                                  |
| **Constraint Navigation**     | AI fails when it hits unwritten rules; the Rehearsal makes these rules explicit    |
| **Quantitative Validation**   | The confidence score is a "gut check" for readiness, not a guarantee of perfection |
| **The "AI-Friendly" Mindset** | Treat the AI like a smart intern: guide it, don't just prompt it                   |

## The Three Steps

### [Step 1: Bootstrapping](/framework/rehearsal/bootstrapping)

Building the AI's world by explicitly directing context creation

### [Step 2: Idea Shaping](/framework/rehearsal/idea-shaping)

Design and constraint exploration before implementation

### [Step 3: Confidence Tuning](/framework/rehearsal/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