Agentation
Agentation turns UI annotations into structured context that AI coding agents can understand and act on. Click any element, add a note, and paste the output into Claude Code, Codex, or any AI tool.
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Agentation is a developer tool that turns UI annotations into structured context AI coding agents can actually understand. You click any element, drop a note, and paste the output into Claude Code, Codex, or whatever ai tool your using. Its primarily for devs who need to feed visual context into their models without typing out long descriptions. Honestly, its kinda like giving the agent eyes so it knows whats happening on the screen before it starts writing code.
alright, so getting started is pretty straight forward. Youll probly just need to install their browser extention first before you do anything else. Once thats up and running, just head to the live site where you wanna make changes. Instead of wasting time describing things verbally, click the actual UI element you care about—maybe a button or an input box—and type a quick note next to it. Like saying 'change this color' or 'debug this function'. The system then converts that into structured context that the AI agents can read properly. You just copy the output and paste it straight into your preferred coding tool, whether its Claude Code, Codex, or whatever LLM you use daily. Its saves huge amounts of time cause you dont have to take screenshots or explain layout logic manually. Its kinda like giving the AI direct eyes on whats happening in the browser right now. Honestly the workflow is just click, annotate, paste. theres not much config needed unless you link specific apis later down the line. if u are stuck on a specific component on a public site, this beats trying to explain it via regular chat. just keep the notes short for better results tho.
If ur working on projects where explaining UI states to an AI feels like a chore, this tool hits different. Its really handy when you need to paste exact contect into Claude or codex without writing a whole paragraph about button locations. You just annotate the screen and copy the output, which cuts down on back and forth. The main advantage is getting structured data from visual elements instead of relying on image recognition alone. Its a solid way to stop the AI from hallucinating layout details. That said, its kind of narrow scope. You cant expect it to fix core logic issues, only the parts where visual context drives the code generation. So yeah, pick this if u are drowning in frontend debugging with AI helpers. Its not magic and wont replace standard dev tools, but for bridging the visual gap it works well. Best used when speed matters more than hand holding the prompt.
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