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AI Conductor Documentation
AI Conductor Documentation
Quickstart
Guides
Working effectively with the harness
FAQ
Ship your first feature
The composer loop
Filing intake issues
Choose and configure the LLM host
Running the daemon
Self-hosting the harness
Reference
Artifacts and state files
Configuration reference
Environment variables
Model and effort resolution
Settings and hooks
Skills
Steps
Explanation
Architecture
Evidence model
Gates
SDLC phases
Runbooks
Daemon recovery
Emergency stop a running feature
Shipped record reconciliation
Stalled or stuck feature
Worktree and evidence recovery
Abandoning a spec
Corrupt intake ledger
Protected-artifact plan deadlock
Contributing
Code organization
Extending the harness
Releases
Testing
Validation
ai-conductor CLI reference
Search AI Conductor Documentation
Repository
Explanation
Conceptual background for the architecture, lifecycle, evidence model, and gates.
Table of contents
Architecture
Evidence model
Gates
SDLC phases