intellectual-integrity-verification

What problem does it solve?

This protocol prevents AI hallucinations by tying conclusions to raw evidence and verifiable outputs, ensuring reasoning is anchored in observed results rather than fluent language.

Core Features & Use Cases

• Evidence-first gating that requires tool-output before conclusions.
• Anti-storytelling enforcement to avoid success-story narratives when evidence shows failure.
• Map-vs-Territory separation to force explicit acknowledgment of the difference between internal models and current state.
• Local-vs-External separation to distinguish locally verifiable facts from external sources.
• Audit-ready traceability for debugging, compliance, and risk mitigation in AI workflows.

Quick Start

Invoke the intellectual-integrity-verification protocol whenever you need to validate claims with explicit evidence and raw outputs before acting.