Your LLM just produced a great report, a README, a doc, a table. Now you want to send it to someone. Pasting raw Markdown into Slack looks broken. A screenshot isn't searchable or copyable. Forwarding the whole chat shares more than you want. So how do you turn one AI output into a clean, linkable web page?
Here are three approaches I've used, with the trade-offs.
1. GitHub Gist
Paste the Markdown into a .md Gist and share the link. Free, durable, and developers trust the domain.
Downsides: it renders in GitHub's wrapper (not a clean standalone page), HTML isn't rendered live, and it's a weird link to send a non-technical person. Good for code snippets, awkward for a polished doc.
2. Publish from a static-site setup
Drop the content into a repo with GitHub Pages, Netlify, or a notebook tool. Maximum control.
Downsides: it's a project, not a 10-second action. Overkill when you just want one page to exist at one URL.
3. A paste-to-link publisher
Tools in this category take Markdown or HTML, render it, and hand you a URL. No repo, no build. Options include Telegraph, JotBird, mdshare, and dochost (which I built, so fair disclosure). The differences worth knowing:
- HTML support — some only take Markdown. If your AI produced an HTML artifact, you want one that renders HTML directly. dochost does; most don't.
- Permanence — free tiers often expire links (dochost's free links last 7 days). Fine for a quick share, check the tier if you need it to live forever.
- Password / private — for client work or internal docs, you want a password option.
A concrete walkthrough (paste-to-link)
- Copy your Markdown or HTML out of ChatGPT/Claude.
- Paste it into the publisher's box.
- Get a URL. Send it.
That's the whole loop. For AI output specifically, this is the lowest-friction of the three — no repo, renders HTML, and you're sharing a normal web page instead of a screenshot or a raw blob.
Which to pick
- Code snippet for other devs → Gist.
- A page you'll maintain and grow → static site.
- One-off doc / AI output you just need to send → a paste-to-link tool.
Pick the boring one that matches the job. For me, sharing LLM outputs landed on the third.
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