Multi-Layer Enforcement System
Four layers of enforcement. Rules that are verified, not just stated.
The Problem It Solves
Guardrail Bypass: AI assistants understand your CLAUDE.md rules but ignore them anyway. After 2-5 prompts, trained defaults override explicit instructions.
How It Works
CleanAim doesn't rely on the AI choosing to follow rules. We implement four enforcement layers: CLAUDE.md instructions, pre-commit verification hooks, automated audit checks, and a bypass audit trail that logs every violation.
515 explicit 'Do NOT' rules define forbidden behaviors—and automated systems verify compliance before any code is accepted. The AI can't claim completion while violating constraints.
Every guardrail bypass gets logged to a database with full context. We don't just hope the AI follows rules—we verify it did, and we maintain an audit trail when it didn't.
Key Components
Layer 1: CLAUDE.md
Constitutional laws and project rules. Necessary but not sufficient—this is where other tools stop.
Layer 2: Pre-Commit Hooks
Automated verification runs before any code is accepted. Violations block the commit entirely.
Layer 3: Forbidden Pattern Checker
10 pattern checks with BLOCKER severity. Singletons, sync I/O in async, hardcoded credentials—caught automatically.
Layer 4: Bypass Audit Trail
All bypass attempts logged to database with full context. You can't disable guardrails without leaving a permanent record.
The Evidence
Stop hoping your rules get followed
See how multi-layer enforcement works in your workflow.
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