html-anything: Local AI Agent That Writes and Exports HTML

html-anything sits between your AI agent and a finished deliverable. You describe what you want, the agent writes the HTML, and the tool handles the preview and export. The nine output surfaces cover most content a small team produces regularly: presentations, posters, magazine-style articles, social posts, prototypes, and data reports.

What makes this different from just asking an AI to write HTML is the sandboxed preview and the direct export step. You see the result before it goes anywhere, and you can push it to a platform or save it as a PNG without touching a code editor. The 75 built-in skills are pre-tested layouts and components the agent can call on, which cuts down on trial and error.

For a business operator, the practical value is speed on visual one-offs. Things like a one-page report for a client, a social card for a product launch, or a quick prototype to show a stakeholder normally require a designer or a round-trip through Canva or Figma. This compresses that into a single conversation with an agent you already use.

How teams can use it

Marketing manager

What for: Create a branded one-page HTML report summarizing a campaign result to share with a client or leadership

Outcome: A polished, shareable single-page report exported as HTML or PNG in under 30 minutes, no designer needed

Build it in 5 steps:

1. Open html-anything with your AI agent running locally.
2. Type a prompt describing the report: headline metrics, brand colors, and the tone you want.
3. Review the sandboxed preview and ask the agent to adjust any section that looks off.
4. Export as PNG for email or HTML for a web link.
5. Send the file directly or upload it to your content platform.

Where it gets complex: Pulling live data automatically from a CRM or analytics platform requires a developer to wire up an integration.

Small business owner

What for: Produce a social card or promotional poster for a product launch to post on X or WeChat

Outcome: A ready-to-post image that matches the product details and visual style, exported in one click to the target platform

Build it in 4 steps:

1. Launch html-anything and choose the poster or social post surface.
2. Describe the product, the offer, and any text you want on the card.
3. Check the preview and ask the agent to change the layout or colors if needed.
4. Use the one-click export to push directly to X or save as PNG for WeChat.

Where it gets complex: Scheduling posts or connecting to a social media management calendar needs a separate tool like Buffer.

Operations lead

What for: Build a quick prototype of an internal dashboard or form to show stakeholders before committing to a full build

Outcome: A clickable HTML prototype that communicates the layout and logic without any design software or developer time

Build it in 4 steps:

1. Open html-anything and pick the prototype surface.
2. Describe the screens you need: what data is shown, what buttons do, and the flow between pages.
3. Review the sandboxed preview and refine the layout through follow-up prompts.
4. Export as HTML and share the file or host it on a simple static file host for stakeholder review.

Where it gets complex: Turning the prototype into a working application with real data connections requires a developer.

Finance analyst

What for: Turn a set of numbers into a formatted data report for a monthly business review

Outcome: A clean, readable HTML or PNG report with tables and charts that can be shared without needing Excel or PowerPoint

Build it in 4 steps:

1. Paste your data or key figures into the prompt inside html-anything.
2. Ask the agent to build a data report surface with the metrics you specify.
3. Check the preview for accuracy and ask for any layout changes.
4. Export as PNG to drop into a presentation or as HTML to share via link.

Where it gets complex: Automating this report to pull fresh data on a schedule requires a developer to set up a data pipeline.

One caution

This is a developer-oriented open source project. Non-technical users will need an AI coding agent already installed and working locally before they can use it, which is a real setup barrier.