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How to Build a Trust Scoring System for AI Agents (That Actually Works)

DEV.to AIΒ·April 17, 2026

This content outlines the critical problem of unverified confidence in AI agents and proposes a three-component trust scoring system. The system verifies outputs against ground truth, tracks performance over time, and compares stated confidence with actual accuracy to penalize overconfidence.

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