Straight answer
How does DataSnifferAI reduce hallucination risk?
It cannot make AI infallible. The product standard is to keep material conclusions tied to retained evidence, separate observation from inference, expose weak coverage and reject unsupported certainty.
The workflow
- DecisionStart with what you must decide.
- EvidenceResearch what can actually answer it.
- BoundariesKeep unknowns and weak claims visible.
- ActionRespond only when the signal earns it.
What this means in practice
It cannot make AI infallible. The product standard is to keep material conclusions tied to retained evidence, separate observation from inference, expose weak coverage and reject unsupported certainty.
DataSnifferAI should be judged on whether its evidence changes a real GTM decision—not on page count, number of AI-generated bullets or how many websites it claims to have “sniffed.”
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