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Presentation: The Agent Harness: Control Planes, Invariants, and Approval Boundaries for Production AI Agents

OpenAI’s Vinoth Govindarajan discusses why production AI agents fail beyond model hallucination. Using real-world case studies like OpenClaw, he explains the key principles of reliable agent harnesses: establishing explicit state ownership, serializing concurrent state mutations, scoping execution authority, and validating actions at the user-visible edge. By Vinoth Govindarajan

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Your Finance Agent Needs an Evaluation Harness, Not Just a Prompt

Your Finance Agent Needs an Evaluation Harness, Not Just a Prompt A finance agent can produce a convincing answer and still be wrong in the one way that matters: it can make a decision without enough…

  • Implement evaluation harness for finance agents, not just prompt improvements.
  • Define decision-making scope with desired action, confidence level, evidence IDs, and rationale.
  • Create dataset with transaction types and expected behavior for regression testing.

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