Andrii Klymenko

I build and repair multi-agent systems in Python.

Eleven years in avionics taught me that the dangerous failures are the quiet ones: the job that reports success while writing nothing, the API that returns half a message, the alert that fires thirty-four times because nothing remembers it already fired.

My tools come from that habit. They check what a system actually does, not what it declares.

AI Crawler Access Audit - compares robots.txt rules with live HTTPS responses to 11 named User-Agent strings sent from Apify. The browser control helps flag inconclusive checks. Results are diagnostic leads, not proof of access from verified crawler IPs.

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