Agentation: The visual feedback tool for AI agents

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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Can this tool integrate with existing LLM stacks like OpenAI or custom models, or is it built for a specific ecosystem?

That is interesting, how does it work, is it a Chrome extension or a code snippet in the app?

Every team already annotates UI. What you've done is make those annotations executable, and that shift is bigger than it first appears.

Most tools stop at capturing feedback. Agentation goes a step further by turning that feedback into structured intent agents can act on without losing something in translation. That's not a design tool improvement; that's a new interface between human thinking and code execution.

The framing worth leaning into: fewer Figma comments, more control surface for AI driven development. One describes a workflow; the other describes a category. And the category framing opens a much larger conversation about where product thinking ends and implementation begins.

The real leverage here isn't faster fixes. It's collapsing the gap between deciding what to change and actually changing it.

Curious whether Agentation stays a layer on top of existing tools or becomes the default way teams communicate changes to code entirely.