AI made the first step trivial. Claude, ChatGPT, Cursor, Cowork — all of them will produce a complete HTML document in one conversation: a report, a dashboard, a proposal, an interactive tool. So a new category of tools appeared to answer the obvious next question, "how do I put this online?", and most of them answer it the same way: paste your code, get a URL.
That answer is fine for a toy. It's the wrong answer for anything you'll share with a client, update next week, or point an AI agent at. This guide is the checklist we wish existed when we started building in this space — five questions that separate a file drop from infrastructure you can standardize on.
First, know which problem you have
"Host AI HTML" hides two different jobs, and tools in this category have quietly split along that line:
| Building a website | Sharing a document | |
|---|---|---|
| You're making | Landing pages, stores, blogs, portfolios | Proposals, reports, dashboards, decks, mini-apps |
| Audience | The public — traffic you want to grow | Specific people — a client, a team, a stakeholder |
| What matters | Custom domains, forms, checkout, SEO | Permanence, versioning, access control, trust |
| Wrong fit feels like | A store on a share link | A confidential proposal that's public by default |
Website builders (Framer, Carrd, and the new AI-native ones) are good at the first column. Bauta is built for the second — the document your AI made, going to people whose opinion matters. If you're in column one, honestly, use a website builder. The rest of this guide is for column two.
The five questions that matter
1. Does the URL outlive the upload?
The cheapest trick in this category is a link that quietly dies — free tiers where pages expire after days, or hosts where every update mints a new URL. Both put you back in re-sending territory. The bar: one permanent URL per deliverable, where "current" is whatever you last published. On Bauta, claimed links are permanent on the free plan, and updates land at the same address — links never die, even if you downgrade.
2. Is there a version trail?
The moment a document is shared externally, "what was live when they saw it?" becomes a question you must be able to answer. Manual filename versioning (v3-FINAL-actually-final) is not a version trail. Look for timestamped publish history with the ability to see any prior version. Think of it as continuous delivery for a document, with an audit trail included.
3. Who can open the link?
Most paste-HTML tools have one access mode: anyone with the URL. That's a non-starter for proposals with pricing, client data, or anything under NDA. You want modes — private, specific people, anyone-with-link, public — plus passwords, and you want private as the default, so an accidental early share exposes nothing. This is Bauta's default posture: gated until you decide otherwise.
4. Is it safe to serve at all?
Here's the question almost nobody in this category talks about: AI-generated HTML is untrusted code. You prompted it, but you didn't review every line, and neither did the host. Serving it carelessly creates real risk — for your recipients and for every other customer sharing that domain. Minimum bar:
- Isolated serving domain. Published content should render on a separate domain from the host's own app (Bauta uses bauta-usercontent.com), sandboxed so a malicious page can't touch sessions, cookies, or the app itself.
- Scanning. Published pages checked against Google Safe Browsing and phishing patterns — on publish and after.
- Data residency you can name. If a client asks where the document physically lives, "the EU" is an answer; a shrug is not. Full posture: Bauta security architecture.
5. Can your AI publish — and read — it?
If your documents are born in an AI conversation, the publishing step should live there too. MCP (Model Context Protocol) is the standard: connect the host once, and any compatible tool — Claude, Claude Code, ChatGPT, Cowork, Codex — can publish with a sentence. But the underrated half is the read direction: a stable URL serving structured HTML is live context an agent can fetch. Your client's AI can read your latest report at the same link their human bookmarked. A binary attachment can't do that — which is the whole argument against exporting to PDF.
What this looks like in practice
With Bauta connected, hosting stops being a step at all. You finish iterating in your AI tool and say:
Next week you revise the numbers and say "update it." Same URL, v2 recorded, the client's bookmark stays warm. Six months later, when someone asks what was in the version the client approved, the history has the answer. That's the entire workflow — two minutes of setup, then sentences.
Frequently asked questions
What's the easiest way to host AI-generated HTML?
Why not GitHub Pages, Vercel, or Netlify?
Is hosting AI-generated HTML a security risk?
Can AI agents read hosted HTML documents?
Raise it once. Point at it forever.
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