Agentation

The visual feedback tool for AI agents

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About

Agentation turns visual feedback on a user interface into structured context that AI coding agents can act on. Instead of describing a change in prose, a user clicks the element they mean, adds a note, and Agentation produces a precise, machine-readable description of what and where.

That output is pasted into Claude Code, Codex, or another AI tool, so the agent knows exactly which component the request refers to and does not have to guess from a vague instruction.

It is aimed at designers, product managers, and developers who review UI work and want to hand AI agents pointed, unambiguous change requests tied to specific elements on the page.

AI-assisted draft, human-reviewed before publishing — see how we choose & review tools.

Why we picked it

Agentation stood out for replacing a prose description with a precise, clicked location — pointing at the exact element instead of writing "the button near the top" is worth naming as the actual fix for how much gets lost in translating visual feedback into a text prompt.