Building Reality Check: Explainable AI for Manipulation Risk

Published: 2026-02-24 | 6 min read

Reality Check started from a practical challenge: risk scoring must be explainable, not only accurate.

A hybrid approach combining deterministic checks with transformer context created stronger trust in predictions.

The biggest product lesson was designing explanation output as a core feature, not a post-processing add-on.