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Build and deploy · Practical notes

How can a beginner build a verifiable first website with AI?

Define the task, inputs, outputs, and acceptance criteria before asking AI to implement small pieces.

On this page
Bookmarks and checks stay in this browser.

Direct answer

Define the task, inputs, outputs, and acceptance criteria before asking AI to implement small pieces. Rendering a page, completing a task, and publishing safely are separate checks. Basic HTML, CSS, and browser debugging help you evaluate the result.

When to use

You want AI-assisted development with clear requirements and a way to judge the code.

Step by step

Write a small specification

Describe the user, task, realistic inputs, outputs, errors, mobile behavior, and exclusions. State whether data leaves the browser; keep secrets server-side.

Implement one testable piece at a time

Start with the core task, then add explanation and navigation. Ask AI to reuse the project structure and identify dependencies and changed files. Review layout changes separately from URLs and indexing.

Validate real actions and save versions

Try normal, empty, oversized, failing, and repeated inputs on desktop and mobile. Save a working version. Reproduce errors before replacing large parts of the project.

Worked example

Hypothetical exercise, not a real performance claim.

For a text counter, test whitespace, Chinese text, line breaks, and long pasted content. A polished number is not proof of correct counting; explain whether it measures characters, words, or another unit.

Action checklist

Reusable templates

Minimal build specification

User and task:
Inputs / outputs / errors:
Mobile and accessibility needs:
Does data leave the browser?
First-version limits:
Real acceptance examples:

Focused change prompt

Read the implementation and callers, then complete [goal] using existing patterns. Add no unrelated features. Preserve validation, error handling, and accessibility. List changed files, checks actually run, and unverified items.

Pitfalls

Do not put secrets in public prompts or frontend files. Compilation does not replace functional checks, and an AI claim of passing tests needs observable evidence.

Official references

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© Rowan Huang

Stay curious. Keep building.