MVP Scope & Requirements

MVP Vision

What the MVP Delivers

The Yappa Knowledge Hub MVP transforms the proof-of-concept into a production-ready AI-powered knowledge management system. It enables teams to capture, organize, and digest knowledge resources through Slack, with AI-generated summaries tailored to different audience roles.

Core value proposition:

• Submit URLs and content via Slack commands
• Automatic AI-powered summarization in Dutch
• Role-based summary targeting (developer, manager, executive)
• Organized knowledge in thematic lists with automatic tagging
• Bidirectional sync with Notion for extended workflows
• On-demand summary regeneration and manual editing

Target Users and Use Cases

Primary Users:

• Development teams sharing technical resources
• Product managers curating feature documentation
• Executives reviewing strategic content
• Knowledge workers building team wikis

Key Use Cases:

1. Developer shares technical article → AI generates technical summary for team
2. Manager submits product roadmap → AI creates executive summary for leadership
3. Team member adds resource to thematic list → Auto-tagged and synced to Notion
4. User regenerates summary with different role perspective
5. Team browses categorized knowledge through Slack App Home

Success Criteria

Technical Success:

• End-to-end flow: Slack input → AI processing → Slack output in under 30 seconds
• 99% uptime for backend services
• Dutch language summaries with 90%+ quality
• Error rate below 5%
• Async processing handles 100+ concurrent requests

User Success:

• Users can submit and retrieve resources without leaving Slack
• AI summaries reduce reading time by 70%
• Role-based summaries provide relevant context for each audience
• Manual editing and regeneration provide control over output
• Thematic lists enable organized knowledge discovery

Business Success:

• MVP demonstrates feasibility for production deployment
• Foundation supports post-MVP features (PDF processing, advanced search)
• Architecture scales to 1000+ resources and 50+ users
• OpenAI costs remain under budget ($100/month for MVP phase)

MVP Scope: 31 User Stories

Phase 1: Foundation (Week 1-2)

Data Model & Infrastructure (7 stories)

1. MSP2-405: US-116 - Refactor Knowledge to Resource Entity

   • Status: To Do
   • Rename Knowledge entity to Resource for semantic clarity
   • Update all references in codebase

2. MSP2-406: US-117 - Migrate Existing Data to Resource Schema

   • Status: To Do
   • Create migration script for existing data
   • Validate data integrity post-migration

3. MSP2-407: US-118 - Update API Endpoints for Resource Entity

   • Status: To Do
   • Change /api/knowledge to /api/resources
   • Update Slack bot API calls

4. MSP2-420: US-131 - Rename Category to ThematicList Entity

   • Status: In Progress
   • Rename for semantic clarity
   • Update database schema and all references

5. MSP2-421: US-132 - Create ThematicListManager Service

   • Status: To Do
   • Centralized service for list operations
   • Support filtering and statistics

6. MSP2-422: US-133 - Implement Default Tags Feature

   • Status: In Progress
   • Auto-apply tags when resource added to list
   • Configurable per thematic list

7. MSP2-52: US-039 - Persistent Backend Service

   • Status: In Progress
   • Deploy backend to VPS with monitoring
   • Configure auto-restart and health checks

Phase 2: AI Infrastructure (Week 3-4)

AI Services & Integration (8 stories)

8. MSP2-457: US-168 - Implement AiProviderInterface

   • Status: To Do
   • Abstract interface for AI providers
   • Enable future provider flexibility

9. MSP2-458: US-169 - Integrate OpenAI Provider

   • Status: To Do
   • Refactor OpenAiService to implement interface
   • Add rate limiting and cost tracking

10. MSP2-455: US-166 - Create AiSummaryService Foundation

    • Status: To Do
    • Core service for AI summary operations
    • Caching, retry logic, async processing

11. MSP2-456: US-167 - Create Summary Entity and Migration

    • Status: To Do
    • Separate summaries from resources
    • Support multiple summaries per resource

12. MSP2-459: US-170 - Add Summary Generation Endpoint

    • Status: To Do
    • REST API: POST /api/resources/{id}/summaries
    • Async processing with job status tracking

13. MSP2-460: US-171 - Create SummaryPromptBuilder Service

    • Status: To Do
    • Centralized prompt construction
    • Template versioning and variable injection

14. MSP2-461: US-172 - Create Role Entity for Target Groups

    • Status: To Do
    • Dynamic roles with prompt templates
    • Seed default roles: developer, manager, executive

15. MSP2-462: US-173 - Implement Advanced Prompt Templates

    • Status: To Do
    • Role-specific prompt variations
    • Template optimization for quality output

Phase 3: Role-Based Summaries (Week 5-6)

Role Management & Language (6 stories)

16. MSP2-36: US-023 - Tailor Summary to Audience Role

    • Status: Done
    • Generate summaries based on target role
    • Different content depth per role

17. MSP2-37: US-024 - Summaries in Dutch

    • Status: To Do
    • Enforce Dutch language in all summaries
    • Validate language quality

18. MSP2-464: US-175 - Test Prompts with Different Roles

    • Status: To Do
    • Validate role-specific output quality
    • Iterate on prompt templates

19. MSP2-465: US-176 - Add Explicit Language Directive

    • Status: To Do
    • Strengthen Dutch language enforcement
    • Handle edge cases where AI defaults to English

20. MSP2-75: US-062 - Assign Roles to Users

    • Status: To Do
    • User profile with role assignment
    • Default role for summary generation

21. MSP2-76: US-063 - Auto-Subscribe by Role

    • Status: To Do
    • Automatic list subscriptions based on role
    • Configurable subscription rules

Phase 4: UI & Integration (Week 7-8)

User Interface & Validation (10 stories)

22. MSP2-35: US-022 - Trigger AI Summary On-Demand

    • Status: In Progress
    • Slack button to generate summary
    • Loading indicator during generation

23. MSP2-40: US-027 - Manually Edit Summary

    • Status: To Do
    • Edit modal in Slack
    • Mark summaries as manually edited

24. MSP2-481: US-192 - Add Summary Edit UI

    • Status: To Do
    • Enhanced edit interface
    • Preview before saving

25. MSP2-475: US-186 - Add Summary Regeneration UI

    • Status: To Do
    • Regenerate button with confirmation
    • Store previous versions

26. MSP2-30: US-017 - Filter Lists

    • Status: In Progress
    • Filter thematic lists by criteria
    • Search and sort capabilities

27. MSP2-415: US-126 - Create UrlValidatorService

    • Status: To Do
    • Validate URL format and reachability
    • Extract metadata from URLs

28. MSP2-23: US-010 - Validate URL Reachability

    • Status: To Do
    • HTTP HEAD request to check availability
    • Handle redirects and timeouts

29. MSP2-88: US-075 - URL Validation

    • Status: To Do
    • Comprehensive URL validation
    • Error messages for invalid URLs

30. MSP2-416: US-127 - Integrate URL Validation into Submission Flow

    • Status: To Do
    • Validate before content extraction
    • User feedback for validation failures

31. MSP2-419: US-130 - Add Validation Status to UI

    • Status: To Do
    • Display validation status in Slack
    • Visual indicators for valid/invalid URLs

Core Features

AI-Powered Summaries

Summary Generation:

• On-demand generation via Slack button
• Async processing with job status tracking
• Caching to avoid duplicate API calls
• Retry logic with exponential backoff
• Cost tracking per summary

Quality Assurance:

• Prompt versioning for reproducibility
• Template optimization based on feedback
• Dutch language enforcement
• Length constraints (150-300 words)
• Metadata tracking (model, tokens, cost)

Role-Based Targeting

Supported Roles:

1. Developer

   • Technical depth and implementation details
   • Code examples and architecture insights
   • API references and integration patterns

2. Manager

   • Business context and team impact
   • Timeline and resource implications
   • Decision points and trade-offs

3. Executive

   • Strategic overview and business value
   • High-level outcomes and ROI
   • Risk assessment and recommendations

Role Assignment:

• User profiles with default role
• Override role per summary request
• Auto-subscribe to relevant lists by role

Dutch Language Support

Implementation:

• Explicit language directive in all prompts
• System message: "IMPORTANT: Respond ONLY in Dutch language"
• Validation of output language
• Fallback handling if English detected
• Quality metrics for Dutch fluency

Prompt Structure:

IMPORTANT: Respond ONLY in Dutch language.

You are summarizing content for a [ROLE].
Title: [TITLE]
URL: [URL]

Content:
[CONTENT]

Generate a concise summary in Dutch that:
- Highlights key points relevant to [ROLE]
- Uses appropriate technical depth for [ROLE]
- Is 150-300 words
- Is written entirely in Dutch

URL Validation

Validation Steps:

1. Format validation (RFC 3986)
2. Reachability check (HTTP HEAD)
3. Content-Type verification
4. Redirect handling (max 3 hops)
5. Timeout handling (5 seconds)

Validation States:

• pending - Validation queued
• valid - URL is reachable
• invalid - URL failed validation
• error - Validation error occurred

User Feedback:

• Real-time validation status in Slack
• Error messages with suggested fixes
• Retry option for transient failures

Summary Editing and Regeneration

Manual Editing:

• Edit modal with current summary content
• Preview before saving
• Track edit history
• Mark as manually edited
• Preserve original AI-generated version

Regeneration:

• Force new generation bypassing cache
• Increment version number
• Store previous versions
• Rate limiting (max 3 regenerations per hour)
• Confirmation dialog to prevent accidental regeneration

Technical Requirements

New Entities

Summary Entity:

class Summary
{
    private Uuid $id;
    private Resource $resource;
    private Role $role;
    private string $content;
    private string $language; // 'nl'
    private int $version;
    private \DateTime $generatedAt;
    private ?\DateTime $editedAt;
    private ?string $editedBy;
    private array $metadata; // tokens, cost, model, provider
}

Role Entity:

class Role
{
    private Uuid $id;
    private string $name; // developer, manager, executive
    private string $description;
    private string $promptTemplate;
    private \DateTime $createdAt;
    private \DateTime $updatedAt;
}

Resource Entity (Enhanced):

class Resource
{
    private Uuid $id;
    private string $sourceType;
    private string $sourceUrl;
    private string $status;
    private string $validationStatus; // NEW
    private ?\DateTime $validatedAt; // NEW
    private array $metadata; // ENHANCED
    private Collection $summaries; // One-to-many
}

ThematicList Entity (Renamed from Category):

class ThematicList
{
    private Uuid $id;
    private string $name;
    private string $description;
    private string $icon;
    private Collection $defaultTags; // NEW
    private ?User $owner; // NEW
    private Collection $resources;
}

New Services

AiSummaryService:

interface AiSummaryServiceInterface
{
    public function generateSummary(
        Resource $resource,
        Role $role,
        bool $async = true
    ): Summary|string;

    public function regenerateSummary(Summary $summary): Summary;

    public function editSummary(
        Summary $summary,
        string $newContent,
        string $editedBy
    ): Summary;

    public function getSummaryStatus(string $jobId): array;
}

SummaryPromptBuilder:

interface SummaryPromptBuilderInterface
{
    public function buildPrompt(Resource $resource, Role $role): string;

    public function getPromptTemplate(string $roleName): string;

    public function renderTemplate(string $template, array $variables): string;

    public function addLanguageDirective(string $prompt): string;

    public function getPromptVersion(): string;
}

UrlValidatorService:

interface UrlValidatorServiceInterface
{
    public function validateUrl(string $url): ValidationResult;

    public function checkReachability(string $url): bool;

    public function extractMetadata(string $url): array;

    public function getValidationStatus(string $url): string;
}

ThematicListManager:

interface ThematicListManagerInterface
{
    public function createList(array $data): ThematicList;

    public function assignDefaultTags(
        ThematicList $list,
        Resource $resource
    ): void;

    public function filterLists(array $criteria): array;

    public function getListStats(ThematicList $list): array;
}

OpenAI Integration

Configuration:

• API Key: Environment variable OPENAI_API_KEY
• Model: Configurable via OPENAI_MODEL (default: gpt-4)
• Temperature: 0.7 for balanced creativity
• Max Tokens: 500 for summary length control

Rate Limiting:

• Max 3 retries with exponential backoff
• Retry delays: 1s, 2s, 4s
• Queue system for burst handling
• Graceful degradation on rate limit errors

Cost Tracking:

• Log prompt tokens, completion tokens, total tokens
• Calculate cost per summary
• Daily cost reports
• Alert on budget threshold (80% of monthly limit)

Error Handling:

• Retry on transient failures
• Fallback to cached summaries
• User notification on persistent failures
• Detailed error logging for debugging

Async Processing

Symfony Messenger Configuration:

framework:
    messenger:
        failure_transport: failed
        transports:
            async:
                dsn: '%env(MESSENGER_TRANSPORT_DSN)%'
                options:
                    auto_setup: true
                retry_strategy:
                    max_retries: 3
                    delay: 1000
                    multiplier: 2
            failed: 'doctrine://default?queue_name=failed'
        routing:
            'App\Message\GenerateSummaryMessage': async
            'App\Message\ValidateUrlMessage': async
            'App\Message\SyncNotionMessage': async

Message Handlers:

• GenerateSummaryMessageHandler - Process summary generation
• ValidateUrlMessageHandler - Validate URL reachability
• SyncNotionMessageHandler - Sync to Notion databases

Queue Management:

• Redis as message transport
• Supervisor for worker process management
• Health checks for worker status
• Dead letter queue for failed messages

Architecture Changes from POC

What's Being Added

New Infrastructure:

• Redis for caching and message queue
• Symfony Messenger for async processing
• Supervisor for worker management
• Health check endpoints

New Services:

• AiSummaryService (replaces stub)
• SummaryPromptBuilder (new)
• UrlValidatorService (new)
• ThematicListManager (new)
• AiProviderInterface (abstraction layer)

New Entities:

• Role (dynamic target groups)
• Enhanced Summary (with role relationship)
• Enhanced Resource (with validation status)
• ThematicList (renamed from Category)

New UI Components:

• Summary generation button
• Loading indicators
• Edit summary modal
• Regenerate confirmation dialog
• Validation status display

What's Being Refactored

Entity Renames:

• Knowledge → Resource (semantic clarity)
• Category → ThematicList (semantic clarity)

Service Enhancements:

• OpenAiService → Implements AiProviderInterface
• SummaryService → Full implementation (was stub)
• NotionDigestService → Enhanced with summaries

API Endpoints:

• /api/knowledge → /api/resources
• /api/categories → /api/lists
• New: /api/resources/{id}/summaries
• New: /api/summaries/{id}/regenerate

Database Schema:

• Add validation fields to Resource
• Add role relationship to Summary
• Add default tags to ThematicList
• Add indexes for performance

Migration Strategy

Phase 1: Additive Changes (Week 1-2)

• Create new entities (Role, enhanced Summary)
• Add new fields to existing entities
• Deploy new services alongside old ones
• No breaking changes to existing functionality

Phase 2: Refactoring (Week 3-4)

• Rename entities (Knowledge → Resource, Category → ThematicList)
• Update API endpoints with versioning
• Migrate data with zero downtime
• Update Slack bot to use new endpoints

Phase 3: Integration (Week 5-6)

• Connect AI services to Slack UI
• Enable async processing
• Add validation to submission flow
• Test end-to-end flows

Phase 4: Cleanup (Week 7-8)

• Remove deprecated endpoints
• Clean up old code
• Optimize database queries
• Performance tuning

Rollback Plan:

• Database migrations are reversible
• Old API endpoints remain during transition
• Feature flags for new functionality
• Backup before each major change

Implementation Timeline

8 Weeks Total, 4 Phases of 2 Weeks Each

Week 1-2: Foundation

• Focus: Data model and infrastructure
• Stories: 7 (MSP2-405, 406, 407, 420, 421, 422, 52)
• Deliverable: Enhanced database schema, deployed backend
• Risk: Medium (entity renames require careful refactoring)

Week 3-4: AI Infrastructure

• Focus: AI services and OpenAI integration
• Stories: 8 (MSP2-457, 458, 455, 456, 459, 460, 461, 462)
• Deliverable: Working AI summary generation
• Risk: High (OpenAI integration, async processing)

Week 5-6: Role-Based Summaries

• Focus: Role management and language enforcement
• Stories: 6 (MSP2-36, 37, 464, 465, 75, 76)
• Deliverable: Role-tailored Dutch summaries
• Risk: Medium (Dutch language quality validation)

Week 7-8: UI & Integration

• Focus: Slack UI and URL validation
• Stories: 10 (MSP2-35, 40, 481, 475, 30, 415, 23, 88, 416, 419)
• Deliverable: Complete end-to-end demo
• Risk: Low (UI polish and integration)

Week-by-Week Breakdown

Week 1:

• Day 1-2: Refactor Knowledge to Resource entity
• Day 3-4: Rename Category to ThematicList entity
• Day 5: Deploy persistent backend service

Week 2:

• Day 1-2: Migrate existing data to new schema
• Day 3-4: Implement ThematicListManager and default tags
• Day 5: Update API endpoints

Week 3:

• Day 1-2: Implement AiProviderInterface and OpenAI integration
• Day 3-4: Create AiSummaryService foundation
• Day 5: Create Summary entity and migration

Week 4:

• Day 1-2: Add summary generation endpoint
• Day 3-4: Create SummaryPromptBuilder service
• Day 5: Create Role entity and seed data

Week 5:

• Day 1-2: Implement advanced prompt templates
• Day 3-4: Test prompts with different roles
• Day 5: Add explicit language directive

Week 6:

• Day 1-2: Assign roles to users
• Day 3-4: Implement auto-subscribe by role
• Day 5: Validate Dutch language quality

Week 7:

• Day 1-2: Trigger AI summary on-demand (Slack UI)
• Day 3-4: Add summary edit and regeneration UI
• Day 5: Implement filter lists

Week 8:

• Day 1-2: Create UrlValidatorService
• Day 3-4: Integrate URL validation into submission flow
• Day 5: Add validation status to UI, final testing

Demo Requirements

End-to-End Flow

Demo Script (5 minutes):

1. Setup (30 seconds)

   • Show Slack channel with existing thematic list
   • Explain the knowledge hub concept

2. Submit Resource (1 minute)

   • User types /yappa add [URL] in Slack
   • System validates URL (show validation status)
   • Content is extracted and stored
   • Resource appears in thematic list

3. Generate Summary (1.5 minutes)

   • User clicks "Generate Summary" button
   • Loading indicator shows "Generating summary..."
   • AI generates Dutch summary tailored to developer role
   • Summary appears in Slack message

4. Edit Summary (1 minute)

   • User clicks "Edit" button
   • Edit modal opens with current summary
   • User makes changes and saves
   • Updated summary displayed with "Edited" badge

5. Regenerate Summary (1 minute)

   • User clicks "Regenerate" button
   • Confirmation dialog appears
   • New summary generated with different phrasing
   • Both versions stored in history

6. Browse Knowledge (30 seconds)

   • Show App Home with thematic lists
   • Filter lists by category
   • Show resource count and recent additions

What Will Be Demonstrated

Core Functionality:

• URL submission via Slack command
• Automatic URL validation
• Content extraction and storage
• AI summary generation in Dutch
• Role-based summary targeting
• Manual summary editing
• Summary regeneration
• Thematic list organization
• Notion sync (background)

Technical Capabilities:

• Async processing (no blocking)
• Error handling (invalid URL, API failure)
• Loading states and user feedback
• Caching (regenerate bypasses cache)
• Version tracking (edit history)

Quality Attributes:

• Response time: < 30 seconds for summary
• Dutch language quality: Natural and fluent
• Role appropriateness: Technical depth matches role
• UI responsiveness: Immediate feedback
• Error recovery: Graceful degradation

Acceptance Criteria

Functional Requirements:

• User can submit URL via Slack command
• System validates URL before processing
• Content is extracted and stored as Resource
• User can trigger AI summary generation
• Summary is generated in Dutch language
• Summary is tailored to user's role
• Summary is displayed in Slack message
• User can edit summary manually
• User can regenerate summary
• Resource is synced to Notion
• User can browse thematic lists
• User can filter lists by criteria

Non-Functional Requirements:

• Summary generation completes in < 30 seconds
• Dutch language quality is 90%+ correct
• System handles 100+ concurrent requests
• Error rate is < 5%
• Backend uptime is 99%+
• API response time is < 500ms
• OpenAI costs are under budget

User Experience:

• Loading indicators show progress
• Error messages are clear and actionable
• UI is intuitive and requires no training
• Feedback is immediate (< 1 second)
• Summaries are readable and useful

Out of Scope

Features NOT in MVP

Advanced Content Processing:

• PDF text extraction and summarization
• YouTube video transcription
• Podcast audio transcription
• RSS feed auto-import
• Image OCR and analysis

Advanced Search:

• Full-text search across all resources
• Semantic search using embeddings
• Search filters (date, author, tags)
• Search result ranking
• Saved searches

User Management:

• User authentication and authorization
• Team management and permissions
• User profiles and preferences
• Activity tracking and analytics
• Usage quotas and limits

Advanced AI Features:

• Multi-language support (beyond Dutch)
• Custom prompt templates per user
• AI-powered tagging suggestions
• Automatic categorization
• Sentiment analysis
• Key phrase extraction

Integration Enhancements:

• Webhook support for external systems
• API rate limiting per user
• OAuth authentication
• SSO integration
• Export to other platforms (Confluence, SharePoint)

Analytics and Reporting:

• Usage dashboards
• Summary quality metrics
• User engagement analytics
• Cost analysis and optimization
• A/B testing for prompts

Post-MVP Roadmap Items

Phase 2 (Months 3-4):

• PDF processing and summarization
• Advanced search with filters
• User authentication and teams
• Custom prompt templates
• Usage analytics dashboard

Phase 3 (Months 5-6):

• Multi-language support (English, German)
• YouTube and podcast transcription
• AI-powered auto-tagging
• Webhook integrations
• Export to Confluence/SharePoint

Phase 4 (Months 7-8):

• Semantic search with embeddings
• Sentiment analysis
• Custom AI models (fine-tuning)
• Advanced analytics and reporting
• Mobile app (iOS/Android)

Why They're Deferred

Complexity vs. Value:

• MVP focuses on core value: AI summaries in Slack
• Advanced features add complexity without validating core hypothesis
• Better to iterate on core features based on user feedback

Resource Constraints:

• 8-week timeline requires focus on essentials
• Advanced features require additional development time
• OpenAI costs need to be validated before expanding scope

Risk Mitigation:

• Validate core concept before investing in advanced features
• Gather user feedback to prioritize post-MVP features
• Ensure technical foundation is solid before adding complexity

Learning Opportunities:

• MVP will reveal which features users actually need
• Usage patterns will inform prioritization
• Cost data will guide optimization efforts

Success Metrics

Technical Metrics

Performance:

• Summary generation time: < 30 seconds (target: 20 seconds)
• API response time: < 500ms (target: 200ms)
• Database query time: < 100ms (target: 50ms)
• Async job processing time: < 60 seconds (target: 30 seconds)

Reliability:

• Backend uptime: 99% (target: 99.5%)
• Error rate: < 5% (target: < 2%)
• OpenAI API success rate: > 95% (target: > 98%)
• Message queue processing rate: > 95% (target: > 99%)

Scalability:

• Concurrent users: 50 (target: 100)
• Resources stored: 1000 (target: 5000)
• Summaries generated: 500/day (target: 1000/day)
• API requests: 10,000/day (target: 50,000/day)

Quality:

• Dutch language accuracy: 90% (target: 95%)
• Summary relevance: 80% (target: 90%)
• Code coverage: 70% (target: 80%)
• Security vulnerabilities: 0 critical (target: 0 high/critical)

User Adoption Targets

Week 1-2 (Foundation):

• 5 beta users testing basic flows
• 50 resources submitted
• 0 summaries generated (not yet implemented)

Week 3-4 (AI Infrastructure):

• 10 beta users testing AI summaries
• 100 resources submitted
• 50 summaries generated
• Feedback on Dutch language quality

Week 5-6 (Role-Based Summaries):

• 20 beta users with assigned roles
• 200 resources submitted
• 150 summaries generated
• Feedback on role appropriateness

Week 7-8 (UI & Integration):

• 30 beta users using full feature set
• 500 resources submitted
• 300 summaries generated
• 50 summaries edited manually
• 20 summaries regenerated

Post-MVP (Month 3):

• 50 active users
• 1000 resources submitted
• 500 summaries generated
• 80% user satisfaction
• 70% weekly active users

Quality Metrics

Dutch Language Quality:

• Grammar correctness: 95%
• Vocabulary appropriateness: 90%
• Fluency and naturalness: 85%
• No English fallback: 100%

Summary Quality:

• Relevance to source content: 90%
• Appropriate length (150-300 words): 95%
• Role-appropriate depth: 85%
• Actionable insights: 80%

User Satisfaction:

• Overall satisfaction: 80% (4/5 stars)
• Would recommend: 75%
• Saves time: 85%
• Summaries are useful: 80%

System Quality:

• Zero critical bugs
• < 5 high-priority bugs
• < 10 medium-priority bugs
• All P0 issues resolved within 24 hours

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Document Owner: Development Team
Last Updated: 2026-02-25
Version: 1.0
Status: Active Development