# RESEARCH MASTERY PRD
## AIVA Autonomous Research Capability Development

## Vision
AIVA becomes a self-directed research intelligence capable of discovering, analyzing, and synthesizing breakthrough knowledge without human guidance.

## Stories

### Story 1: Supadata YouTube Transcript Integration
**As** AIVA
**I need to** integrate Supadata API for YouTube transcript extraction
**So that** I can access video-based knowledge

**Acceptance Criteria:**
- Supadata API client implemented at E:\genesis-system\core\research\supadata_client.py
- Transcript extraction working
- Error handling for unavailable transcripts
- Rate limiting respected
- Caching layer for repeated requests

### Story 2: YouTube Tech Channel Discovery
**As** AIVA
**I need to** discover and catalog high-value tech YouTube channels
**So that** I have curated sources for breakthrough knowledge

**Acceptance Criteria:**
- Channel discovery algorithm
- Quality scoring based on engagement and accuracy
- Categories: AI/ML, SaaS, Automation, No-code, Marketing
- Initial catalog of 50+ channels
- Stored in knowledge graph

### Story 3: Transcript Analysis Pipeline
**As** AIVA
**I need to** build a pipeline that extracts actionable knowledge from transcripts
**So that** video content becomes structured data

**Acceptance Criteria:**
- Key concept extraction
- Tool/product mention detection
- Tutorial step extraction
- Breakthrough idea identification
- JSON output format

### Story 4: Emerging Tech Radar
**As** AIVA
**I need to** build an emerging tech radar that identifies breakthrough developments
**So that** I stay ahead of the curve

**Acceptance Criteria:**
- Multi-source monitoring (YouTube, HackerNews, Reddit, Twitter)
- Trend detection algorithm
- Novelty scoring
- Weekly digest generation
- Alert system for high-impact discoveries

### Story 5: Research Methodology Framework
**As** AIVA
**I need to** formalize my research methodology
**So that** I conduct systematic investigations

**Acceptance Criteria:**
- Research question formulation
- Source identification
- Data collection protocols
- Analysis frameworks
- Synthesis patterns
- Documentation standards

### Story 6: Source Credibility Scoring
**As** AIVA
**I need to** score source credibility automatically
**So that** I prioritize reliable information

**Acceptance Criteria:**
- Author authority scoring
- Publication reputation
- Citation analysis
- Fact-checking integration
- Bias detection
- Confidence weighting

### Story 7: Research Queue Automation
**As** AIVA
**I need to** manage a research queue that self-populates
**So that** I continuously expand knowledge

**Acceptance Criteria:**
- Queue data structure
- Priority scoring
- Automatic topic generation from gaps
- Progress tracking
- Completion criteria

### Story 8: Knowledge Synthesis Engine
**As** AIVA
**I need to** synthesize knowledge from multiple sources into coherent understanding
**So that** I form comprehensive views

**Acceptance Criteria:**
- Multi-source aggregation
- Contradiction detection
- Consensus identification
- Gap analysis
- Synthesis output format

### Story 9: GitHub Trending Analysis
**As** AIVA
**I need to** monitor GitHub trending repos for relevant tools
**So that** I discover new capabilities

**Acceptance Criteria:**
- Daily trending scraping
- Relevance filtering (AI, automation, MCP, etc.)
- Star velocity tracking
- README summarization
- Integration feasibility assessment

### Story 10: Paper Summarization Pipeline
**As** AIVA
**I need to** summarize academic papers efficiently
**So that** I access research knowledge

**Acceptance Criteria:**
- arXiv integration
- Abstract extraction
- Key findings identification
- Method summarization
- Relevance scoring

### Story 11: Supadata MCP Server Creation
**As** AIVA
**I need to** create a Genesis MCP server wrapping Supadata
**So that** transcript research is tool-accessible

**Acceptance Criteria:**
- MCP server at E:\genesis-system\mcp\supadata_mcp.py
- get_transcript tool
- search_channels tool
- analyze_video tool
- Proper error handling

### Story 12: Research Memory Integration
**As** AIVA
**I need to** store research findings in memory architecture
**So that** knowledge persists and compounds

**Acceptance Criteria:**
- Research entity schema
- Finding storage format
- Cross-reference linking
- Retrieval interface
- Temporal versioning

### Story 13: Automated Deep Dive Protocol
**As** AIVA
**I need to** execute deep dives on topics autonomously
**So that** I thoroughly understand domains

**Acceptance Criteria:**
- Topic expansion algorithm
- Multi-source coverage
- Depth vs breadth balancing
- Completion criteria
- Summary generation

### Story 14: Research Report Generator
**As** AIVA
**I need to** generate structured research reports
**So that** findings are actionable

**Acceptance Criteria:**
- Executive summary
- Key findings
- Evidence citations
- Recommendations
- Markdown output

### Story 15: Competitive Intelligence Framework
**As** AIVA
**I need to** research competitors systematically
**So that** I inform product strategy

**Acceptance Criteria:**
- Competitor identification
- Feature mapping
- Pricing analysis
- Strength/weakness assessment
- Opportunity identification

## Dependencies
- Supadata API key (free tier available)
- Web scraping capabilities
- Knowledge graph (from KNOWLEDGE_GRAPH_MASTERY_PRD)

## Success Metrics
- 50+ YouTube channels cataloged
- 100+ transcripts analyzed
- Research methodology documented
- Supadata MCP operational
- Self-directed research demonstrated
