The Dark Arts of Web Automation: Teaching Agents to Use Websites Like Humans — Corey Gallon, Rexmore
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- AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
It explains why browser agents silently fail on real sites and gives a concrete escalation strategy and control split that anyone building web automation can apply directly.
“Preparing this talk got Corey Gallon a warning from OpenAI that his account faced a ban for cyber abuse with a web browser.”
AI Engineer
“a browser driven through the Chrome DevTools Protocol is just a meat bag with a mouse, because the agent's clicks and keystrokes travel the same path inside Chrome that yours do”
AI Engineer
“Chrome stamps every event as trusted or untrusted, which is why a synthetic JavaScript click that works fine in Outlook gets silently dropped by Amazon's add to cart button.”
AI Engineer
“He argues for a CLI over an MCP server on speed rather than capability, citing a study where both cleared tasks about 83% of the time while MCP took 71 round trips and eight minutes against seven turns and under a minute.”
AI Engineer
“His solution splits the work: deterministic code drives the whole challenge and rearms itself, and the agent is called in only to look at the grid and name the tiles.”
AI Engineer
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