Agentation

In plain words

Agentation is a visual feedback tool that helps AI coding agents understand user interfaces by converting UI annotations into structured context. Users click elements on a screen, add notes, and export the output to integrate with AI tools like Claude Code or Codex. The tool bridges communication between developers and AI agents for more accurate code generation and modifications.

written from the facts on this page · September 2026

From the sources

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.

The visual feedback tool for 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. Note: With MCP , you can skip the copy-paste step entirely — your agent already sees what you're pointing at. Just say “address my feedback” or “fix annotation 3.” Agentation works best with AI tools that have access to your codebase (Claude Code, Cursor, etc.). When you paste the output, agents get: Without Agentation, you’d have to describe the element (“the blue button in the sidebar”) and hope the agent guesses right. With Agentation, you give it .sidebar > button.primary and it can grep for…from agentation.com

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