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Most AI agent incidents people worry about are not one bad tool call. They are two ordinary ones in a row. The agent reads a file. Maybe it is .env, maybe config/credentials.yml, maybe a token pasted into a ticket it was asked to summarise. The agent makes an outbound HTTP request. Maybe to "fetch t
Coding agents now run shell commands, edit files, and push branches on real repos. Most teams give them either everything or a pile of "are you sure?" prompts that people click through. There is a middle ground: a small set of rules that stop the handful of actions that actually cause incidents, and
I run several personal AI agents - Meta Muse, Instinct, Tab, Hark and a few others. Each one starts every session knowing nothing, and none of them know what the others learned. I'd tell one agent something, then catch myself telling another agent the exact same thing the next day. They don't rememb
I build small tools for the web. For a while I looked at my search rankings and felt fine about them. Then I started asking ChatGPT the same questions my visitors ask. Things like "what's the best option for X if you're a small team." My site wasn't in the answers. Not ranked tenth โ absent entirely