Method before hype

How the prompts are made

my-ai-prompts pairs complete browser experiences with the detailed specifications used to describe how something similar should work.

Start with the interaction

Every catalog entry begins as a working experience with a clear loop, end condition, restart behavior, and responsive layout. The live example lets visitors inspect the expected result before reusing its prompt.

Specify the parts that short prompts miss

Each prompt covers functional behavior, technical boundaries, accessibility, responsive behavior, edge cases, acceptance criteria, and deliverables. The goal is not to guarantee identical output from every AI tool. It is to provide a concrete, adaptable starting point.

Test the example

The current games and developer tools are tested with Playwright across Chromium, Firefox, and WebKit. Their automated checks cover domain rules, validation, navigation, privacy boundaries, lifecycle cleanup, keyboard input, mobile layouts, and accessibility behavior where applicable.

Review and update

Each prompt page names its latest review date. A review checks that the published specification still matches the working example, source prompt, browser behavior, privacy boundaries, and automated acceptance tests. Prompt pages are regenerated from one canonical registry to prevent the visible copy and source specification from drifting apart.

Keep claims inspectable

The site does not publish invented customer results, ratings, or testimonials. Prompts remain tool-agnostic, and generated results can vary by model, coding assistant, environment, and the changes a builder makes.

Explore every interactive AI coding prompt