117 lines
3.9 KiB
Markdown
117 lines
3.9 KiB
Markdown
# AI-Generated Rules User Stories & Acceptance Criteria
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## User Stories
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### Primary User Stories
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#### 1. AI Rule Generation
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**As a** user creating a new folder
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**I want** to generate email organization rules using AI
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**So that** I don't have to manually create rules from scratch
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**Acceptance Criteria:**
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- [ ] AI generation button appears in folder creation modal
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- [ ] Clicking button generates a relevant rule based on folder name and type
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- [ ] Generated rule appears in the rule text area
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- [ ] Rule quality score is displayed (0-100%)
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- [ ] User can accept, modify, or regenerate the rule
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#### 2. Multiple Rule Options
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**As a** user
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**I want** to see multiple AI-generated rule options
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**So that** I can choose the best rule for my needs
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**Acceptance Criteria:**
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- [ ] "Multiple Options" button generates 5 different rule suggestions
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- [ ] Rules are displayed in a selectable grid layout
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- [ ] Each rule shows quality score and key criteria
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- [ ] User can select one rule to use
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- [ ] Selected rule populates the rule text area
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#### 3. Rule Quality Assessment
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**As a** user
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**I want** to know the quality of AI-generated rules
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**So that** I can make informed decisions about which rules to use
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**Acceptance Criteria:**
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- [ ] Each generated rule has a quality score (0-100%)
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- [ ] Quality scores are color-coded (red/yellow/green)
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- [ ] Quality feedback explains why a rule scored high or low
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- [ ] Quality assessment considers specificity, action-orientation, and relevance
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#### 4. Error Handling & Fallbacks
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**As a** user
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**I want** clear error messages and fallback options when AI generation fails
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**So that** I can still create folders even when AI service is unavailable
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**Acceptance Criteria:**
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- [ ] Network errors show clear, user-friendly messages
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- [ ] Authentication errors provide specific guidance
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- [ ] Service errors offer retry options
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- [ ] Manual rule entry is always available as fallback
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- [ ] Default rule templates are suggested based on folder name
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#### 5. Rule Customization
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**As a** user
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**I want** to easily customize AI-generated rules
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**So that** I can fine-tune rules to match my specific needs
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**Acceptance Criteria:**
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- [ ] Generated rules can be edited directly in the text area
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- [ ] Rule validation works on customized rules
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- [ ] Users can regenerate rules while keeping the same context
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- [ ] Edit history is maintained for rule modifications
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### Secondary User Stories
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#### 8. Accessibility
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**As a** user with disabilities
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**I want** AI rule generation to be fully accessible
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**So that** I can use the feature without barriers
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**Acceptance Criteria:**
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- [ ] All AI controls are keyboard navigable
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- [ ] Screen readers announce AI generation status
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- [ ] Error messages are accessible
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- [ ] Color contrast meets WCAG standards
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## Technical Requirements
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### Backend Requirements
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- [ ] OpenAI-compatible API endpoint integration
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- [ ] Prompt engineering for rule generation
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- [ ] Rule quality assessment algorithm
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- [ ] Error handling and fallback mechanisms
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### Frontend Requirements
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- [ ] AI generation buttons in folder modal
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- [ ] Rule display components with quality indicators
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- [ ] Error handling UI with fallback options
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- [ ] Loading states and progress indicators
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- [ ] Responsive design for mobile devices
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### Integration Requirements
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- [ ] Integration with existing folder creation flow
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- [ ] Compatibility with current validation system
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- [ ] Database storage for generated rules
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- [ ] API endpoints for AI service communication
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## Non-Functional Requirements
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### Performance
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- Response time < 3 seconds for single rule generation
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- Response time < 5 seconds for multiple options
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- 99.9% uptime for AI service availability
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### Reliability
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- Graceful degradation when AI service is unavailable
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- Comprehensive error handling
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- Automatic retry mechanisms
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- Fallback to manual entry options
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### Usability
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- Intuitive user interface
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- Clear error messages
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- Helpful suggestions and guidance
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- Consistent with existing application design
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