Best tools to review AI-generated HTML prototypes
An AI tool just gave you a working HTML page. Now somebody else has to look at it and tell you what's wrong. There are plenty of ways to do that, and the best one depends on who is reviewing, what you're reviewing and what happens to the feedback afterwards. This is a fair look at the common options, including the ones that beat Ollav in some situations. Checked November 2026; check each vendor's site for current details.
What "good" looks like
Before the list, the questions worth asking:
- Can reviewers use the real page, with hover states, clicks and real data, or only look at a picture of it?
- Can a comment be pinned to the thing it's about?
- Do reviewers need an account? Is that a problem for them, or a feature for you?
- When you ship version 2, do earlier comments survive?
- Can the agent that built the page read the feedback and act on it?
1. Screenshots in Slack or email
Good at: speed and zero setup. Everyone already has the tool open. For a quick "which header is better?", two images in a channel beat everything else on this list.
Falls short: a screenshot is one state of the page. Nobody can click it, "the button" is ambiguous, and the feedback is a thread someone has to turn into a to-do list. Each new version means new screenshots and a new thread. An agent can't read the thread without extra plumbing. More in Ollav vs. screenshots in Slack.
2. A static host plus a doc for notes
Good at: putting the page online with working interactions. Netlify Drop and GitHub Pages are familiar, and a static host is the right choice if you're shipping a real site, need several files, a custom domain or server code.
Falls short: hosting isn't reviewing. The page is often public or behind one shared password, comments live in a separate doc or chat, and feedback has no anchor to the element it concerns. Many platforms give each deploy a new URL, so version 2 means a new link. See Ollav vs. static hosting.
3. Figma comments
Good at: reviewing designs. If the thing under review is a Figma file, Figma's comments are the standard for a reason, and design-system tooling and handoff are only there.
Falls short: an AI-generated HTML page isn't a Figma file. To collect comments you'd screenshot it into a design file, which loses the behaviour that made it a prototype. A common split is to design in Figma and review the coded result somewhere else. More in Figma comments for code prototypes.
4. BugHerd
Good at: feedback on a real, deployed website. People pin notes on the live pages, and the notes land on a task board with statuses, which suits QA and client feedback across many pages.
Falls short: it works through a script on your own site, so it expects a site to exist. That's the wrong shape for a single HTML file that hasn't been deployed anywhere yet. See the BugHerd comparison.
5. Markup.io
Good at: mixed material. It annotates websites, images, PDFs and designs in one place, and clients may already know it.
Falls short: it's a general annotation tool. We couldn't find an agent loop (reading comments, fixing them and publishing the next version) on its site, so that part stays manual. See the Markup.io comparison.
6. dot.
Good at: low-friction commenting. Reviewers don't need an account, and it can work on Claude artifacts and live URLs, including a multi-page site. If reviewers must be able to comment with no sign-in, dot. is the better pick.
Falls short: anonymous comments are harder to attribute to a person, and we couldn't find agent actions like replying, resolving and publishing a new version on its site. See the dot. comparison.
7. Ollav
Good at: one self-contained HTML file (up to 15 MB) uploaded and shared as a link, with no deploy. Reviewers pin comments to elements and react with emoji. The same link serves every version and keeps earlier comments. A document is private to its workspace by default and not indexed. Agents (Claude Code, Claude, ChatGPT, Cursor, Codex) can read comments, reply, resolve and publish new versions over MCP or the REST API. Reviewers sign in, as members or invited guests, which makes feedback accountable. Guests are free, and there is a Free tier with no card needed.
Falls short: reviewers have to sign in, so it's not for anonymous feedback. It reviews the file you upload, not a live URL or a multi-page site. It hosts HTML only, one file at a time, with no server code. And it doesn't replace Figma for design work.
At a glance
| Good for | Main limit for this job | |
|---|---|---|
| Screenshots in Slack or email | Quick gut checks | A still image of one state |
| Static host plus a doc | Putting a real site online | No built-in review, often a new URL per deploy |
| Figma comments | Design files | The page isn't a design file |
| BugHerd | Feedback on a deployed site | Needs a site and a script |
| Markup.io | Websites, images and PDFs together | No agent loop that we could find |
| dot. | Anonymous comments, live URLs | Harder to attribute comments |
| Ollav | AI-made HTML files, accountable review, agent loop | Sign-in required, one file, no live URLs |
Which one should you pick?
- Want a fast opinion on a visual? Screenshots.
- Shipping a real site? A static host, then a feedback tool on the deployed site.
- Reviewing a design? Figma.
- Need anonymous comments, or to review a live site? dot. or BugHerd.
- Reviewing a mix of PDFs, images and sites? Markup.io.
- Reviewing an AI-made HTML page, with the agent that built it fixing the feedback? Ollav.
Also worth a look if your need is a company docs workspace with single sign-on: display.dev. For a side-by-side of several tools, see AI prototype review tools compared.
Try it
The Free tier is enough to run a real review round, and you don't need a card. See the Ollav setups for Claude Code, Cursor and design review.