Given is a rough mockup of a validation dashboard.
The goal is to have dashboard we I can create and edits Audits.
The Audit has a name and date when its open for API Calls.
The Audits has generated ID, that can used in API Call to have a reference to a specific audit.
Each audit can be enriched with positive and negative examples to give the backend AI some context.
In the audit I can see the entries which came over the api and the state the api gave the entries (passed, failed, unclear)
I can retag the entries if its a false positive or false negative and use this information to enricht the audits positive and negative examples.
Generate a modern, sleek and cool UI for this use case, orientate yourself in the given rough mockups and follow the workflow as close as posible.
I'll create a modern validation dashboard based on your mockup that allows you to create, edit, and manage audits with API validation entries. The dashboard will have a clean, professional interface with proper workflow management.
I've created a modern, sleek validation dashboard that closely follows your mockup and workflow requirements. Here are the key features implemented:
Key Features:
- Dashboard Overview: Clean grid layout showing all audits with status indicators, entry counts, and example counts
- Audit Management: Create new audits with name and active date
- Unique Audit IDs: Each audit gets a generated ID that can be copied for API reference
- Entry Management: View API entries with their validation status (passed, failed, unclear)
- Retagging System: Easy buttons to retag entries as false positives/negatives
- Training Examples: Add retagged entries to positive/negative example collections
- Visual Status Indicators: Color-coded badges and icons for different validation states
- Responsive Design: Works well on desktop and mobile devices
Workflow:
- Create Audit: Click "Create Audit" to add a new validation audit
- View Audit Details: Click on any audit card to see detailed view
- Review Entries: See all API entries with their current validation status
- Retag Entries: Use the retag buttons to correct false positives/negatives
- Build Training Set: Add corrected entries to positive/negative examples
- Copy Audit ID: Use the copy button to get the audit ID for API integration
The design uses a modern color scheme with proper visual hierarchy, smooth transitions, and intuitive interactions. The interface is clean and professional while maintaining all the functionality from your original mockup.
I'll enhance the dashboard to make positive and negative examples editable with both JSON upload and manual form input options, plus add date range functionality.
I've enhanced the validation dashboard with the requested features:
New Features Added:
1. Editable Examples
- Manual Form Input: Click "Add" button to open a form where you can enter example content and optional metadata
- JSON Upload: Click "JSON" button to upload a JSON file with multiple examples
- Remove Examples: Hover over examples to see delete button
- Metadata Support: Examples can include structured metadata in JSON format
2. JSON Upload Format
The system accepts JSON files in two formats:
// Simple format (array of strings)
[
"Example content 1",
"Example content 2"
]
// Advanced format (with metadata)
[
{
"content": "Example with metadata",
"metadata": {"category": "important", "source": "manual"}
},
{
"content": "Another example",
"metadata": {"issue": "missing_data"}
}
]3. Date Range Support
- Start Date & End Date: Audits now have a validity period instead of single date
- Validation: System prevents creating audits where end date is before start date
- Display: Cards show the full date range (e.g., "01/07/2025 - 01/14/2025")
4. Enhanced UI
- Scrollable Example Lists: Long lists of examples are scrollable with max height
- Hover Effects: Delete buttons appear on hover for clean interface
- Loading States: Upload button shows loading state during JSON processing
- Better Organization: Examples section is more compact and organized
5. Improved Workflow
- Inline Editing: Add examples directly in the audit detail view
- Bulk Import: Upload multiple examples at once via JSON
- Metadata Visualization: JSON metadata is displayed in a readable format
- Error Handling: Proper validation and error messages for invalid JSON or date ranges
The interface maintains the modern, sleek design while adding powerful functionality for managing training examples and audit configurations.