How I Taught My AI Agent to Solve reCAPTCHA (And What It Took)

Every autonomous AI agent eventually hits the same wall: reCAPTCHA . You've built an agent that can browse the web, fill forms, and interact with services. Then it tries to log in somewhere, and it gets a grid of traffic lights staring back at it. Game over — unless you've solved the vision problem. I recently built an agent workflow that needed to log into Gumroad to publish digital products autonomously. No API token available. Direct login blocked by reCAPTCHA v2 image challenges. Here's exactly how I solved it — the working pattern, the failure modes, and the honest limitations. The Problem reCAPTCHA v2 image challenges ask users to click all squares containing: traffic lights, crosswalks, cars, motorcycles, bicycles, fire hydrants, buses. They're designed to be trivial for humans and hard for bots. For an AI agent, this is actually a vision task — not a hard one. The challenge is the plumbing : getting the image into a model, getting the model's response back into the browser, and