Agencies using AI coding tools: what makes a preview ready for client review?

I’m the solo founder of Zyan, built from problems I ran into in our web design agency. One question I keep coming back to: when an AI coding agent finishes a change, what should travel with the preview so the client can give useful feedback?

Here’s a small handoff record I’d start with:

1. Request: the outcome the client asked for, plus anything explicitly outside scope.

2. Version: the preview URL and the commit it represents, so feedback doesn’t land on an older build.

3. Checks: what was tested on mobile and desktop, including forms and links, and what still needs a human check.

4. Decision: what the client needs to approve, who owns the next change, and who can publish.

The checklist is useful with any stack. I’m building Zyan to bring AI-assisted website work and client operations into one workspace. The public Builder walkthrough is here (no account needed):

https://zyan.ai/build?utm_source=producthunt&utm_medium=community&utm_campaign=agency_outreach&utm_content=prelaunch_handoff_thread

For context, Builder is in the $150/month Studio plan; coding agents use your own supported login or API key.

For people doing client work: what gets missed most often between “the change is built” and “the client approved it”? Do your clients respond better to a preview with a short summary, annotated screenshots, or a walkthrough call?