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Discover/kunchenguid/lavish-axi: HTML is the new markdown. Lavish is t…
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kunchenguid/lavish-axi: HTML is the new markdown. Lavish is the new editor for your HTML artifacts.
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kunchenguid/lavish-axi: HTML is the new markdown. Lavish is the new editor for your HTML artifacts.

  • Lavish Editor is a local-first tool for reviewing agent-generated HTML artifacts in a browser and sending feedback back to the agent without relying on screenshots or long text descriptions.
  • It lets humans pinpoint specific elements or selected text, edit rendered Mermaid diagrams like a whiteboard, and annotate feedback directly in the artifact.
  • The core workflow is agent writes an HTML file, Lavish opens it in a local browser UI, the human annotates or audits it, and the agent receives prompts or severe failure reports via polling.
  • Lavish uses the canonical HTML file path as the session identity, so no opaque IDs are needed.
  • It injects a small SDK for annotations, snapshots, feedback controls, and layout checks, but does not add any design system, so the HTML renders the same directly in a browser.
  • A browser-level layout gate only flags proven severe issues such as clipped text, unreachable controls, escaped meaningful content, or near-total semantic occlusion.
  • Cosmetic, intentional, transient, tiny, or uncertain layout observations are ignored, and users can choose to show the artifact anyway if no severe failure is proven.
  • Local assets must be referenced with relative paths next to the HTML file; root-prefixed paths like /assets/logo.png will not resolve through Lavish.
  • Export creates a .export.html file that inlines local assets only and strips the annotation SDK, while remote CDN/font references remain external links.
  • Sharing publishes the artifact to third-party ht-ml.app, with public-by-default or password-protected private sharing, and returns a one-time update_key for later management.

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AI Summary

Lavish is a local-first browser UI for agent HTML review: humans annotate elements, text, Mermaid, and layout issues, then agents receive feedback via polling.

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Tags

#human-ai-collaboration#agent-workflows#cli-tools#design-review#layout-debugging#browser-based-tools#artifacts-review#technical-productivity#html-editing#local-development
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