EvidenceBound Research & Field Notes
Deterministic evidence for AI agents and high-stakes algorithms.
Canonical technical articles for engineers, security reviewers, enterprise operators, grant reviewers and partners evaluating EvidenceBound.
By Ruslan Vrublevskyi · Creator of EvidenceBoundAI agent safety
Beyond Code Generation: Building a Deterministic Control Plane for Autonomous Agents
Why prompts, self-critique and model confidence are not execution controls—and how AST policy, bounded runtime and reproducible receipts create a fail-closed gate.
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Enterprise governance
Audit Compliance Platform: Reproducible Evidence for Governed AI Execution
A practical architecture for binding policy, source, execution and approval into a retained evidence chain that an operator can inspect and reproduce.
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High-stakes analytics
Verify the Algorithm, Not the Outcome
A Squad Fatigue case study showing the difference between proving contract conformance and claiming that a sports, medical or commercial outcome is correct.
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