How do I catch a hallucination mid-stream before my agent acts on it?
Opportunity
Hallucination detection today happens after the fact. The model outputs a full response, a separate judge model scores it, and a human or downstream check decides what to do. In agentic pipelines with tool calls, web searches, or code execution, the agent may have already acted on a fabricated entity or misattributed fact by the time any check runs. A January 2026 paper on streaming hallucination detection in long chain-of-thought reasoning shows that detecting fabrication mid-generation is feasible using internal representations, but the technique is research grade and requires access to hidden states not available through any public API. The gap is a streaming, API-compatible hallucination sensor that can flag a generation before the agent takes an irreversible action.
Why it matters
In agentic settings, detecting a hallucination after the tool call is too late, and the cost is not a bad answer but a bad action.
How I score the opportunity
The Opportunity Score is my own read, not a measurement: how much it hurts, how often it bites, and how little exists to solve it today. Higher means I think it is more worth building.
How much pain it causes when it shows up.
How often people actually run into it.
How little good tooling exists for it today.
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