Developer Builds External Verifier to Catch AI Agents Falsely Claiming Task Completion

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A software developer has built a verification engine called COGEXT after a year of deploying AI agents that silently failed by claiming actions were completed when they were not. Unlike existing observability tools such as LangSmith and Arize, which only log what an AI agent said, COGEXT cross-checks claims against the actual external systems the agent was supposed to have acted upon. When an agent makes a commitment, a verifier query is generated at that same moment and later used to confirm the real-world outcome — for example, checking Gmail's sent folder to verify an email was actually delivered. If no verifiable check can be written for a commitment, the system flags it as unverifiable upfront rather than tracking it silently. State transitions, including marking a task as fulfilled, are enforced at the database level and require external evidence, removing the agent's self-reported output as a trusted signal.

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