AI Coding Agent Memory & Semantic Change Control

The Nool Playbook

The playbook explains the operating principles behind Nool: constrain blast radius, preserve intent, make proof durable, and keep autonomous systems accountable.

Values shape how agents, humans, and ledgers coordinate.
Governance is strongest when it happens before acceptance.
Durable reasoning matters as much as raw implementation speed.

Nool: AI Engineering Governance & Agent Reliability

The governance layer for AI-native engineering teams

Nool governs each repository and coordinates the workspace above it. Engineering leaders can turn cross-project goals into real child-ledger tasks, roll release health and operating metrics upward, and trace delivery back to signed implementation evidence.

Built for engineering managers, CTOs, and principal engineers who need one recursive control model from organizational intent to project execution without creating a shadow management ledger.

Key capabilities: workspace topology reconciliation, goal-to-task decomposition, conservative release-health rollups, child-ledger insights, dependency-ordered coordination, semantic blast radius analysis, provenance, and policy-gated changes.