Uses git bundle for atomic snapshots, tags with date and session ID, verifies bundle integrity, and records the snapshot in a tracking log. Designed to protect against accidental destructive operations and provide recovery points.
The AI commits any uncommitted work, tags the current state with a descriptive name, and gives you exact commands to roll back if something goes wrong. Think of it as a save game before a boss fight.
The AI stages your modified files, generates a descriptive message that includes what changed and why, commits, runs a post-commit review, and optionally pushes to GitHub with automatic token scrub. Other recipes call this one automatically — you rarely need to invoke it directly.
The AI checks whether git is already configured, initializes a repository if needed, sets your identity, creates a CRAFT-aware .gitignore, makes an initial commit, and optionally connects a GitHub remote — all idempotent, so running it twice won’t break anything.
The AI captures a snapshot of your session progress so far — what you have accomplished, which files were touched, and your current priorities. It writes this as a partial handoff to your chat history file (or updates an existing partial if one already exists from an earlier checkpoint). A lightweight validation confirms the checkpoint data matches actual git state. Then it creates a git commit so the checkpoint is recoverable even if the session ends unexpectedly.
The AI scans your workspace folder, finds your project files, loads your last handoff, checks git status, activates your persona, and reports everything it found — so you can start working immediately without manually pasting context.
The AI compiles your session data (accomplishments, files touched, key decisions, next priorities), generates a structured handoff block in CRAFT format, and runs an integrated Lessons Learned capture that identifies new learnings, formats them, presents them for your review, and writes approved entries to your LL file. Before committing, the handoff passes through a validation gate where claims are independently verified against git history and file state using Chain-of-Verification. The validated handoff is appended to your chat history file and a git checkpoint is created.
The AI scans your workspace folder, finds your project files, loads your last handoff, checks git status, activates your persona, and reports everything it found — so you can start working immediately without manually pasting context.
You describe a decision or initiative, the AI helps you identify relevant stakeholder groups, maps what you already know (and what you do not), and generates targeted Deep Research prompts to fill your knowledge gaps. The output is a self-contained Stakeholder Map you carry into the next recipe.
A comprehensive Strategic Alignment Report with 13 sections covering everything from executive summary through real-world action steps. The report converts simulation insights into specific conversations to have, questions to ask, and proposals to test with actual stakeholders. This is preparation, not prediction — your first real conversation will update the strategy.
Attach your Stakeholder Persona File and describe the topic you want to discuss. The AI confirms the persona roster and recommends a discussion format. Then the discussion runs in rounds — all personas respond, you get a moderator summary, and you direct what happens next. When you are satisfied, tell the AI to conclude and it produces a comprehensive Discussion Transcript.
Attach your Stakeholder Map and paste your Deep Research findings. The AI matches research to stakeholders, then builds each persona one at a time. You review, correct, and validate each persona individually before the AI moves to the next. Once all personas are confirmed, you receive a single Persona File ready for RCP-082.
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