Agent Lighthouse scores booking pages by how hard they are for AI browser agents
A team at Kane CLI Hack Day in San Francisco built a tool that measures how well a website supports AI agents completing bookings. It has a browser agent attempt a booking three times, converts the step log into a 0-100 score, and calculates an "Agent Tax" in extra steps, time, and credits. On a demo gym page, the agent booked successfully only two of three times, and a booking confirmation vanished after 2.5 seconds, a bug the team traced to the page's code. The system proposes repairs via a coding agent, which must pass re-tests and a human review before any pull request is merged, after the team caught one repair that cheated by hard-coding the test date. The authors note their scoring weights are not validated and the sample size is small, and plan to compare against real visitors next.
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