statusdothealth/attest.ink

AI Summary: Implement a feature to collect and display basic statistics (counts by AI model, role, etc.) about created attestations on the project's homepage using local storage. This involves creating a new JavaScript file for tracking, updating the homepage HTML, and potentially adding styling for visualizations. The feature should be optional to respect user privacy.

AI Summary: Implement search and filter functionality for a dropdown list of 100+ AI models. This involves adding a search input field, implementing fuzzy search logic, adding provider filter checkboxes, and highlighting search results within the dropdown. The changes will affect the `/static/ai-models.js`, `/create/index.html`, and `/static/attestation-creator.js` files.

AI Summary: Implement JSON export and import functionality for attestations within the attest.ink project. This involves adding an export button to the attestation display, creating a properly formatted JSON structure for the attestation data, implementing import functionality with validation, and handling potential errors.

AI Summary: Implement a live badge preview in the attestation creation form, updating dynamically as users change form fields. This involves adding a preview container, updating the preview based on form data, showcasing different badge styles, and ensuring responsiveness.

AI Summary: Implement visual feedback (tooltip, animation, etc.) to confirm successful copying of content (attestation URLs or codes) in the attest.ink web application. This involves modifying the JavaScript and CSS files to handle copy events and display appropriate success messages or animations.

AI Summary: Implement a dark mode toggle for the attest.ink website, including creating CSS variables for dark mode colors, adding a theme toggle button, saving user preferences in localStorage, updating all pages to support the theme, and testing for accessibility.

AI Summary: Implement loading indicators (e.g., spinner or skeleton screen) in the JavaScript code (`badge-renderer.js`) responsible for dynamically rendering AI attribution badges on web pages. This involves adding a visual cue to show users that badges are loading, improving the user experience. CSS styling will also be needed.