Preview Infrastructure for AI Clones That Stakeholders Actually Use

Fast cloning only delivers value when stakeholders can preview changes without waiting for a deploy. A dedicated preview infrastructure keeps everyone aligned and accelerates feedback loops.

1) Deploy previews per clone iteration

Each AI generation should land in a unique preview URL (e.g., <code>/preview/clone-123</code>). Use your platform’s preview branches or an automation script that pushes the cloned files to a temporary route. Stakeholders can open the link immediately, without waiting for a production build.

2) Share via QR and short links

Combine the preview URL with a QR code and a short slug so anyone in a meeting can scan it. Include context (purpose, expected outcomes, decision deadline) so viewers understand what to evaluate.

3) Automate snapshots + linting

Capture screenshots and run Lighthouse checks during preview builds. Attach the results to the preview page so reviewers see not just what it looks like but how it performs. This also helps you track regressions over time.

4) Feedback anchors

Embed a short feedback form or comments section right on the preview page. When someone flags an issue, tag it with the clone ID so the engineering team knows which build to revisit.

5) Tear down responsibly

Auto-expire previews after a set window (72 hours). Archive the key screenshots + analytics results so you can reference them later when the clone inspires the final product.

With solid preview infrastructure, clones stop feeling like experiments and start feeling like trustworthy partners in the product process.

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