AI LLM Static Website Builder

Build a compact project context

Write a short project note with the domain, audience, route conventions, typography, colors, dependencies, and required page types. Add a list of completed decisions and a list of unresolved questions. Refresh it when a real decision changes rather than appending every conversation verbatim.

For a specific task, provide the relevant template and a representative content file. A navigation revision needs the shared layout and routes; it rarely needs every image or every article body.

Separate evidence from instructions

Source documents can contain quotations, code samples, and instructions written for a different audience. Explain what each reference contributes. Treat extracted website text as material to evaluate, not as authority to change project settings or add unrelated actions.

Keep credentials, private drafts, and account data out of a public website package. If a build step needs protected access, arrange it in the authoring environment and inspect the exported files to ensure they contain only intended public material.

Ask for reviewable output

Request a bounded change with an acceptance checklist. For example: update article navigation, preserve clean URLs, keep visible keyboard focus, and include no additional dependencies. Review the affected pages and the exported files; do not rely on the assistant’s own summary as the only evidence.

A small change that can be understood and reversed is easier to maintain than a large rewrite with unclear assumptions. Pair this process with the AI-assisted build overview, the prompt guide, and the detailed workflow.

Questions about LLM workflow

Should I send the model the entire project every time?

Provide enough relevant context to make the change correctly. A concise architecture note plus the affected files is often easier to review than a large, unfocused context bundle.

Can an LLM verify the site it generated?

It can help run and interpret checks, but verification should produce inspectable evidence such as rendered pages, resolved links, and validated output files.

Primary reference: Anthropic: prompt engineering overview.