Clonecode Client Rebuild Capture (Delivery)

Clonecode Client Rebuild Capture (Delivery)

1. 01

   Create the Clonecode account and spend the 2 free page downloads on a sample client site

   Confirm the kit returns the runnable local mirror, DESIGN.md, tokens.json, AI prompts, and REPORT.txt before any paid tier is bought. This is the baseline capability check for the delivery team.

2. 02

   Select the client site and screen it for login-protected or dynamic pages

   Clonecode cannot capture dynamic content such as logins, live feeds, or search results. Map those pages out of scope in the client brief before capture starts so the rebuild estimate stays honest.

3. 03

   Run the capture and pull the full blueprint: HTML, CSS, JavaScript, fonts, and design tokens

   The output splits component-level code and exports tokens in both JSON and Markdown. Store both formats in the client project folder, since the JSON feeds tooling and the Markdown feeds the prompt handoff.

4. 04

   Load the packaged AI prompts into Claude Code, Cursor, Lovable, v0, Bolt, or ChatGPT

   Pick one assistant per project and keep it consistent across the rebuild. The prompts carry the exact design specifications, so switching assistants mid-build wastes the handoff work.

5. 05

   Rebuild one page section first and diff it against the local mirror

   Use the runnable local mirror as the reference render. Sign off the section before scaling to the rest of the site, because token drift caught early is cheap and caught late is a rework invoice.

6. 06

   Track credit burn against page count for the engagement

   Starter carries 12 credits at $9 monthly and Pro carries 40 credits at $29 monthly. Log pages captured per client so the next retainer quote reflects real consumption rather than a guess.

7. 07

   Package the captured blueprint and rebuilt site as the client deliverable

   Hand over the design tokens, component structure, and prompt set alongside the deployed site. Clients doing later redesigns or migrations then hold the specification themselves, which reduces repeat capture spend.