Developer Builds AI Agent Fleet to Detect Wildfire Risks on Power Grids Before They Ignite

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A developer built Keystone, an AI-powered grid monitoring system, as a submission to the All Things Agentic Hackathon using Google Gemini and Google Cloud. Inspired by the 2018 Camp Fire — which killed 85 people and was traced to a faulty PG&E transmission line component that went unnoticed — Keystone continuously watches transmission infrastructure for developing failures. Unlike typical wildfire-AI tools that flag anomalies and stop, Keystone validates each finding using real engineering models, including the IEEE-738 thermal equation, and runs an adversarial critique agent to challenge results before any alert is raised. Once a risk is confirmed, the system autonomously notifies three peer organizations — a mutual-aid utility, a fire agency, and a grid balancing authority — simultaneously via the Agent2Agent (A2A) protocol, with the balancing authority's response able to block de-energization actions. The project aims to close the years-long gap between when a grid failure begins and when a human operator detects it, prioritizing accuracy over speed to maintain operator trust.

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