A governed world-model evidence layer for AI agents: simulate bounded scenarios, track assumptions, score prediction-vs-reality error, and produce human-reviewable execution evidence.
simulation risk-analysis prediction decision-support receipts model-evaluation ai-safety ai-agents evidence digital-twin scenario-testing world-model safe-ai agent-governance runtime-assurance policy-gates human-review test-evaluation assumption-ledger reality-delta
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Updated
May 22, 2026 - Python