Developer Builds AI Vehicle Diagnostics Agent That Seeks Human Approval Before Acting

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A developer created FaultTrace, an autonomous AI agent designed to investigate vehicle failures, built for the TrueForge Agent Harness Hackathon running August 24–30, 2026. Unlike a standard chatbot, FaultTrace gathers evidence from multiple sources, generates competing root-cause hypotheses, and ranks them using deterministic Bayesian calculations. The agent runs analysis in a sandbox environment and identifies which additional test would most reduce diagnostic uncertainty. A key design principle requires the agent to pause and obtain human approval before executing any physical-world action, such as clearing fault codes or ordering parts. The MVP was demonstrated using a cracked brake-booster vacuum hose scenario on a 2003 Honda Accord, producing fault codes P0171 and P0300.

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