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Mike-E-Log/README.md

Mike Ilog · AI Engineer · LLM & Agent Evaluation

I build AI systems that hold up in real use — and the evaluations that prove it.


Selected work

GG Tank Watch is a civic emergency archive I built during a real May 2026 chemical-tank evacuation (~50,000 residents; Wikipedia, NPR). While it ran, an LLM (Claude, with web search) summarized official and news updates every 30 minutes. A consumer-facing AI system with guardrails enforced by code and tests, not prompting:

  • What if the AI got something wrong? The design assumed it would. The AI only wrote drafts — a separate, tested program checked every one and controlled what reached the page. And the page never told people what to do: at most, it pointed readers to official sources.
  • The asymmetry that matters. A false all-clear is catastrophic; a false alarm is survivable. So danger downgrades need ≥2 sources (including an official agency), while upgrades fire on one. Enforced in code, never asked of a model.
  • A behavioral test harness — grown from a red-team analysis of 12 real failure modes, green in CI — catches drift from the safety contract (fabricated sources, authored directives, stale data) before it ships, not after.

Start here (main repo)gg-tank-watch

Live Websiteggtankwatch.org

Safety testing & evidencegg-tank-watch/docs


Writing

Three essays on AI evaluation, from practice — mikeilog.com/writing:


Contributions

Open

Merged


Tools & methods

  • Building AI agents: Claude Agent SDK, MCP, Anthropic SDK
  • Languages: Python, TypeScript

Contact

cooperation FTW · US (Pacific time) · remote

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  1. gg-tank-watch gg-tank-watch Public

    GG Tank Watch - frozen public-information archive of a resolved May 2026 chemical emergency. Conduit-only design; responsible-AI safety patterns enforced in code and tests.

    Python 1