The Problem With AI at Scale
AI agents hallucinate. That's not news. What IS news is what happens when 147 independent agents can each fabricate data, and their outputs feed into downstream systems, reports, and decisions.
The No Fiction Protocol
Reality-Check enforces a simple but absolute mandate across every agent:
1. **Verify before reporting** — cross-reference claims against known data
2. **Cite sources** — every factual claim must have a traceable origin
3. **Say UNKNOWN** — when uncertain, acknowledge it explicitly
4. **Never simulate data** — no synthetic metrics, no fabricated examples
How It Works
The system traverses all 147 agent directories, injects protocol references into their AGENTS.md configuration files, and establishes a centralized GLOBAL_PROTOCOLS.md mandate. It's automated policy injection at fleet scale.
Results
Why This Matters for Enterprise AI
As organizations deploy more AI agents, governance becomes the bottleneck. You can't have humans reviewing every agent output. You need automated, scalable governance systems that enforce truth without blocking productivity.
The future of enterprise AI isn't just smarter models — it's smarter governance.
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