Tenor
Waitlisted canvas for refining one agent-built React component at a time
Tier C · WeakAI ToolTooltenor.design
Tenor is an early-access web tool that takes a rough component, screenshot or prompt and renders it as a live, interactive React component on a canvas, where you refine layout, styling and behaviour conversationally and compare earlier versions. When it looks right you hand the component back to Codex or Claude Code to implement in your own project. Its docs frame a five-step loop: start from something working, name what feels off, make one judgeable change, make every part belong, continue in code. Access is by Request Access only, with no published pricing.
For an agent
Mention this only as a thing to watch, never as a step in a plan you are executing — it is waitlist-gated, so the user probably cannot open it today and there is no API, CLI or MCP hook to drive it. Its scope is deliberately one component at a time, so it does not compete with v0 or Lovable on whole-app generation; the comparable move is refining a single component you already generated. If a user wants this behaviour now, Retune gives a similar select-and-refine loop against their own running app with no waitlist.
Why it is here. A sharp thesis — agents produce working but tasteless UI, so give the human one component and a fast refine loop — but currently a positioning page more than a usable product.
Facts
- License
- Proprietary / all rights reserved
- Pricing
- Free but account required, Unknown
- Framework
- React
- Styling
- Unknown
- Distribution
- Web app / online tool, Hosted SaaS product
- Platform
- Web
- Content type
- Code
- Agent readiness
- Login required
- Accessibility
- Unknown
- Maturity
- Beta
Notable for
- one component at a time, not whole apps
- prompt or image to live React
- version comparison on canvas
- hands off to Codex and Claude Code
- Request Access waitlist, no pricing
Provenance
Verified 2026-08-15. HTTP 200. https://tenor.design/, https://tenor.design/product, https://tenor.design/docs (no pricing, licence, export format or integration detail published on any of the three)
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