You shared the AI-built page — then what? The real work is the loop: build, show, react, fold the reaction back into the next prompt. Why hosting is only step one, and what actually closes the loop.
If you build with an AI tool, you ship a new version of something most days — a Claude artifact, a vibe-coded page, a Codex bundle. Getting it online used to be the hard part. It isn't anymore: drop the file, get a link, done. So it's worth being honest about what the actual job is, because hosting turned out to be the easy quarter of it.
The job is a loop:
Hosting is only step two's delivery mechanism. Steps three and four are where a page actually gets better — and they're the steps nobody's tooling really covers.
Watch how feedback usually travels and you'll see the leak.
A reviewer opens your page. Something's off — the headline is too long, the second pricing card doesn't line up, a number is wrong. They type a message: "looks good! maybe tighten the header, and the middle card feels heavy. also is that price right?"
Now you have to reverse-engineer it. Which header — the hero or the section? Which middle card, on desktop or the mobile layout they were probably looking at? You map each sentence back onto an element, guess at the ones that are ambiguous, and then re-describe all of it to your AI in a fresh prompt. Every hop — page → reviewer's words → your interpretation → the prompt — loses a little precision. By the time it reaches the model, "the middle card feels heavy" has become your paraphrase of their paraphrase of a feeling they had about a specific box on a specific screen.
The screenshot-with-an-arrow version is the same problem wearing a nicer coat: it pins the where but strands it in an image your AI can't act on cleanly.
The reaction was specific when it happened. The channel made it vague.
Two things, and they're the whole point:
1. Capture the reaction on the spot it refers to. Instead of a paragraph, the reviewer clicks the exact element and types there. The note is welded to that point on the page — and to the screen size they were viewing — so there's no re-mapping later. No "which header." The note is on the header.
This only works if leaving a note is frictionless for the reviewer. The moment it needs an account or an app, half your reviewers reply in chat instead and you're back to paragraphs. So the reviewer needs zero setup: open the link, click, type, done.
2. Carry the anchor all the way back to the prompt. When you're ready to iterate, you don't retype anything. You export the whole thread as a brief — each note with the element it points at and the screen it was on — and paste it into Claude or Codex: "Apply these." The model gets the same precision the reviewer had, not your lossy summary of it.
That's the fold-back step finally being a single move instead of a translation exercise. The loop closes.
In miinideck, the page you already shared is the surface:
Enabling Review and collecting comments is on every plan, because the engagement loop is the point. Exporting the thread as a prompt is the Studio piece — that's the power-creator move, turning a review into a re-prompt in one click.
Turn one shared page into a feedback surface: enable Review, let someone pin a note without signing up, and watch it come back out as something you can paste straight into your AI.
A feedback loop that requires making the page public isn't a feedback loop you can use for client work. The page stays private the whole way through: the link is unguessable and stays out of search, the comment layer is gated to people who have the link, and "anyone can comment" never means "anyone can find it." You're inviting the specific people you sent the link to — not opening a public board. (If you want the longer version of why the default is private, the first-shipped artifact walkthrough covers the private-link model.)
Not every share is mid-loop, and not every page belongs here at all:
Build in the tool built for building. Share on a link built for sharing. And — the part that was missing — capture the reaction where it happens and carry it back to the prompt without losing it. Hosting was the easy step. Closing the loop is the one worth getting right, because that's the step that actually makes the next version better.
If you want the mechanics — exactly how to turn Review on, what the reviewer sees, and how the export lands in your AI tool — the step-by-step walkthrough covers it.
The iteration loop with Claude / Cursor / Lovable produces a new version every round. Channels that let each round travel cleanly — without exposing the chat, the previous version, or the next reviewer to noise.
A step-by-step: turn on Review for a private link, let anyone pin comments to the exact spot (no account), then export the thread as a prompt to paste into Claude or Codex.
"It asks me to log in." "It's blank." The link isn't broken — it was never built to leave the tool. What each AI tool actually hands you, and what opens.
miinideck turns a single HTML file into an unguessable link with optional password and expiry. Default-private, never indexed.