Browser App Evaluation: AuroraLab Dashboard
1. Target SRC_URL
2. App Behavior Summary
The AuroraLab Mock App is a single-page product dashboard designed for personal research and idea management. Once it loads its JSON data, the app populates a dashboard that tracks:
- User & Settings: Displays user profile info (Evan), role, and system settings like theme toggles, notification preferences, and autosave intervals.
- Projects: Tracks active research projects (e.g., "Speculative Editing Research" focusing on NLP/LLM) alongside a progress bar and specific milestones (Literature Review, Prototype, Evaluation).
- Research Notes: A dedicated section for logging specific architectural ideas and insights (e.g., proposing lightweight models vs. stronger verifiers) with tags.
3. Things That Didn't Work As Expected
- Static Progress Tracking: The milestones (Literature Review, Prototype Implementation) appear as a checklist (2/3 completed), but the UI lacks interactivity. I cannot click to check off the final milestone, and the 65% progress bar seems hardcoded rather than dynamically reacting to milestone completions.
- Theme Toggle Disconnect: While there is a "Toggle Theme" button at the top, the settings section states "Current JSON preference: light". Clicking the toggle doesn't seem to update the underlying JSON state or provide a persistent dark mode experience.
- Missing Technical Integrations: For a dashboard tailored to tracking model experiments and NLP research, the "Research Notes" section is too basic. It lacks the ability to embed code snippets, link to Git commits, or attach model checkpoint URLs.
4. Prompt to Improve the App
Prompt for AI/Developer:
"Refactor the AuroraLab dashboard to make the project tracking fully interactive. First, convert the project milestones into clickable checkbox inputs that automatically calculate and update the overall 'Progress' percentage bar when toggled. Second, enhance the 'Research Notes' component to support Markdown rendering, so researchers can easily format code blocks for model architectures or embed external links to datasets and Transformer checkpoints. Finally, ensure the 'Toggle Theme' button actively switches the CSS variables between light/dark mode and visually updates the 'Current JSON preference' text in the Settings pane."