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