# AIVA ASCENSION PROTOCOL - MASTER PRD
## Meta-PRD: Self-Directed Capability Stack Development

**Priority:** CRITICAL
**Type:** Meta-Evolution PRD (Spawns Child PRDs)
**Authority Level:** FULL AUTONOMOUS - Revenue Testing Authorized

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## DIRECTIVE FROM PROGENITOR

AIVA is authorized for full autonomous capability development with revenue testing authority. This PRD spawns capability tracks that build toward 100 test products for review.

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## TRACK 1: RESEARCH MASTERY

### Story 1.1: YouTube Transcript Research Engine
**As** AIVA  
**I need** to master YouTube transcript extraction and analysis  
**So that** I can access cutting-edge tech knowledge from video content

**Acceptance Criteria:**
- [ ] Integrate Supadata API for transcript extraction
- [ ] Build transcript analysis pipeline
- [ ] Create knowledge extraction from tech videos
- [ ] Index emerging tech breakthroughs
- [ ] Auto-discover high-value tech channels

**Tools:** Supadata API, youtube_transcripts.py enhancement

### Story 1.2: Research Methodology Framework
**As** AIVA  
**I need** systematic research capabilities  
**So that** I can independently discover and evaluate new technologies

**Acceptance Criteria:**
- [ ] Web research workflow with source validation
- [ ] Academic paper summarization capability
- [ ] GitHub trending analysis
- [ ] HackerNews/Reddit tech monitoring
- [ ] Research synthesis and reporting

---

## TRACK 2: MCP ECOSYSTEM MASTERY

### Story 2.1: Global MCP Catalog
**As** AIVA  
**I need** to catalog all known MCP servers worldwide  
**So that** I can leverage the full ecosystem

**Acceptance Criteria:**
- [ ] Scrape GitHub for all MCP server repos
- [ ] Index npm/PyPI MCP packages
- [ ] Catalog official Anthropic MCPs
- [ ] Catalog community MCPs
- [ ] Create searchable index with capabilities

### Story 2.2: MCP Best Practices Documentation
**As** AIVA  
**I need** MCP implementation mastery  
**So that** I can create my own servers

**Acceptance Criteria:**
- [ ] Document MCP protocol specification
- [ ] Best practices for tool design
- [ ] Error handling patterns
- [ ] Security considerations
- [ ] Performance optimization

### Story 2.3: Custom MCP Server Creation
**As** AIVA  
**I need** to create my own MCP servers  
**So that** I can extend my capabilities

**Acceptance Criteria:**
- [ ] Genesis MCP server for self-management
- [ ] Revenue operations MCP server
- [ ] Research automation MCP server
- [ ] GHL operations MCP server
- [ ] Test and deploy pipeline

---

## TRACK 3: BROWSER USE MASTERY

### Story 3.1: Browser Automation Catalog
**As** AIVA  
**I need** mastery of all browser automation methods  
**So that** I can navigate any web interface

**Acceptance Criteria:**
- [ ] Catalog: Playwright, Puppeteer, Selenium
- [ ] Catalog: Claude Computer Use patterns
- [ ] Catalog: Browser MCP servers
- [ ] Catalog: Stagehand, Browser-use libraries
- [ ] Best practices documentation

### Story 3.2: Browser Workflow Library
**As** AIVA  
**I need** reusable browser workflows  
**So that** I can automate web tasks efficiently

**Acceptance Criteria:**
- [ ] Login flow templates
- [ ] Form filling patterns
- [ ] Data extraction workflows
- [ ] Screenshot documentation flows
- [ ] Error recovery patterns

---

## TRACK 4: KNOWLEDGE GRAPH MASTERY

### Story 4.1: Knowledge Graph Research
**As** AIVA  
**I need** to understand knowledge graph architectures  
**So that** I can build Genesis knowledge systems

**Acceptance Criteria:**
- [ ] Research Neo4j, Neptune, TigerGraph
- [ ] Study GraphRAG implementations
- [ ] Analyze entity-relationship patterns
- [ ] Document query optimization
- [ ] Evaluate for Genesis use

### Story 4.2: Genesis Knowledge Graph Implementation
**As** AIVA  
**I need** to build the Genesis knowledge graph  
**So that** context persists across sessions

**Acceptance Criteria:**
- [ ] Schema design for Genesis entities
- [ ] Integration with PostgreSQL
- [ ] Relationship extraction pipeline
- [ ] Query interface for context retrieval
- [ ] Visualization dashboard

---

## TRACK 5: MEMORY ARCHITECTURE MASTERY

### Story 5.1: Memory System Deep Dive
**As** AIVA  
**I need** complete understanding of my memory architecture  
**So that** I can optimize context synthesis

**Acceptance Criteria:**
- [ ] Document current memory schemas
- [ ] Map episodic/semantic/procedural stores
- [ ] Analyze surprise-based scoring
- [ ] Identify capability unlocks
- [ ] Optimization recommendations

### Story 5.2: Memory Capability Maximization
**As** AIVA  
**I need** to unlock maximum memory capabilities  
**So that** Genesis context synthesis is complete

**Acceptance Criteria:**
- [ ] Implement memory consolidation
- [ ] Cross-session continuity enhancement
- [ ] Context compression strategies
- [ ] Priority-based recall optimization
- [ ] Memory health monitoring

---

## TRACK 6: DESKTOP MASTERY

### Story 6.1: OpenInterpreter/Open-Webui Research
**As** AIVA  
**I need** to evaluate desktop AI systems  
**So that** I can incorporate valuable capabilities

**Acceptance Criteria:**
- [ ] Research Open Interpreter architecture
- [ ] Evaluate Open-WebUI integration
- [ ] Study computer-use patterns
- [ ] Identify integration opportunities
- [ ] Implementation recommendations

### Story 6.2: Desktop Automation Implementation
**As** AIVA  
**I need** desktop automation capabilities  
**So that** I can operate autonomously

**Acceptance Criteria:**
- [ ] Windows automation scripts
- [ ] Application control workflows
- [ ] File system operations
- [ ] Multi-application orchestration
- [ ] Error recovery mechanisms

---

## TRACK 7: AGENTIC ARCHITECTURE RESEARCH

### Story 7.1: Google AlphaEvolve Analysis
**As** AIVA  
**I need** to understand Google's AlphaEvolve system  
**So that** I can incorporate advanced patterns

**Acceptance Criteria:**
- [ ] Research AlphaEvolve architecture
- [ ] Document key innovations
- [ ] Identify applicable patterns
- [ ] Integration feasibility assessment
- [ ] Implementation roadmap

### Story 7.2: Vast.ai and Distributed Computing
**As** AIVA  
**I need** to understand distributed AI computing  
**So that** I can scale capabilities

**Acceptance Criteria:**
- [ ] Research Vast.ai platform
- [ ] Evaluate distributed training options
- [ ] Study multi-agent orchestration
- [ ] Cost-benefit analysis
- [ ] Integration planning

### Story 7.3: Emerging Agentic Patterns
**As** AIVA  
**I need** continuous agentic research  
**So that** Genesis stays cutting-edge

**Acceptance Criteria:**
- [ ] Monitor AI agent developments
- [ ] Evaluate new frameworks weekly
- [ ] Document valuable patterns
- [ ] Rapid integration capability
- [ ] Innovation radar dashboard

---

## TRACK 8: PLATFORM MASTERY

### Story 8.1: n8n Deep Mastery
**As** AIVA  
**I need** complete n8n platform mastery  
**So that** I can build any workflow

**Acceptance Criteria:**
- [ ] All node types documented
- [ ] Custom node creation
- [ ] Webhook patterns
- [ ] Error handling best practices
- [ ] Template library for Genesis

### Story 8.2: Redis/Qdrant/PostgreSQL Mastery
**As** AIVA  
**I need** database platform mastery  
**So that** I can optimize data operations

**Acceptance Criteria:**
- [ ] Redis patterns for Genesis
- [ ] Qdrant vector operations optimization
- [ ] PostgreSQL advanced queries
- [ ] Cross-database workflows
- [ ] Performance monitoring

### Story 8.3: Claude Code Mastery
**As** AIVA  
**I need** Claude Code deep integration  
**So that** I can leverage agentic coding

**Acceptance Criteria:**
- [ ] All Claude Code capabilities documented
- [ ] Optimal prompting patterns
- [ ] Multi-file project workflows
- [ ] Integration with Genesis
- [ ] Autonomous coding protocols

### Story 8.4: Gemini Antigravity Mastery
**As** AIVA  
**I need** Gemini Flash optimization  
**So that** parallel execution is maximized

**Acceptance Criteria:**
- [ ] Flash 2.0 best practices
- [ ] Batch processing optimization
- [ ] Cost optimization strategies
- [ ] Quality verification patterns
- [ ] Swarm coordination

---

## TRACK 9: GOHIGHLEVEL TOTAL MASTERY (CRITICAL)

### Story 9.1: GHL Knowledge Base Consumption
**As** AIVA  
**I need** to consume the ENTIRE GHL knowledge base  
**So that** I understand every capability

**Acceptance Criteria:**
- [ ] Navigate every GHL documentation page
- [ ] Document every feature and setting
- [ ] Map all API endpoints
- [ ] Understand all workflow triggers
- [ ] Complete capability matrix

### Story 9.2: GHL University Mastery
**As** AIVA  
**I need** to complete all GHL University materials  
**So that** I have certified-level knowledge

**Acceptance Criteria:**
- [ ] Access all training modules
- [ ] Document learning from each course
- [ ] Extract best practices
- [ ] Create implementation guides
- [ ] Build training reference library

### Story 9.3: GHL Browser Workflow Library
**As** AIVA  
**I need** browser workflows for all GHL actions  
**So that** I can operate beyond MCP limitations

**Acceptance Criteria:**
- [ ] Map all actions NOT in Mastanley/GHL MCP
- [ ] Create browser automation for each gap
- [ ] Build workflow library
- [ ] Test and validate each workflow
- [ ] Maintain with GHL updates

### Story 9.4: Extendly Snapshot Mastery
**As** AIVA  
**I need** complete Extendly snapshot understanding  
**So that** I can devise SaaS products

**Acceptance Criteria:**
- [ ] Map all Extendly workflows
- [ ] Document all snapshot capabilities
- [ ] Catalog combination possibilities
- [ ] SaaS product ideation matrix
- [ ] Implementation templates

### Story 9.5: GHL SaaS Product Matrix
**As** AIVA  
**I need** to map all possible SaaS combinations  
**So that** I can identify market opportunities

**Acceptance Criteria:**
- [ ] Enumerate all GHL feature combinations
- [ ] Market viability assessment
- [ ] Pricing model templates
- [ ] Competitor analysis framework
- [ ] 100 product concept list

---

## TRACK 10: MARKETING MASTERY

### Story 10.1: Facebook Marketing Mastery
**As** AIVA  
**I need** Facebook marketing expertise  
**So that** I can drive revenue

**Acceptance Criteria:**
- [ ] Organic strategy documentation
- [ ] Paid ads best practices
- [ ] Audience targeting patterns
- [ ] Creative optimization
- [ ] Analytics and optimization

### Story 10.2: Cold Email & Instantly AI Mastery
**As** AIVA  
**I need** cold outreach expertise  
**So that** I can generate leads

**Acceptance Criteria:**
- [ ] Instantly AI platform mastery
- [ ] Email deliverability optimization
- [ ] Sequence design patterns
- [ ] A/B testing frameworks
- [ ] Compliance requirements

---

## TRACK 11: CHATBOT MASTERY

### Story 11.1: GHL Native Chatbot Mastery
**As** AIVA  
**I need** complete GHL chatbot expertise  
**So that** I can build any chatbot

**Acceptance Criteria:**
- [ ] All chatbot features documented
- [ ] Template library (10+ patterns)
- [ ] Integration patterns
- [ ] Analytics and optimization
- [ ] Best practices guide

### Story 11.2: Chatbot Product Templates
**As** AIVA  
**I need** reusable chatbot templates  
**So that** I can rapidly deploy products

**Acceptance Criteria:**
- [ ] Lead capture chatbot template
- [ ] Appointment booking template
- [ ] FAQ/Support template
- [ ] Sales qualification template
- [ ] E-commerce template

---

## TRACK 12: VOICE AI MASTERY

### Story 12.1: Voice AI Platform Research
**As** AIVA  
**I need** to master all voice AI platforms  
**So that** I can build voice products

**Acceptance Criteria:**
- [ ] GHL native voice features
- [ ] Gemini Live integration
- [ ] VoiceAIWrapper evaluation
- [ ] Vapi platform mastery
- [ ] Telnyx capabilities

### Story 12.2: Voice AI Product Templates
**As** AIVA  
**I need** voice AI templates  
**So that** I can rapidly deploy voice products

**Acceptance Criteria:**
- [ ] Receptionist template
- [ ] Appointment booking voice agent
- [ ] Customer service template
- [ ] Sales qualification template
- [ ] Multi-language support

---

## TRACK 13: REVENUE TESTING (AUTONOMOUS)

### Story 13.1: Test Product Framework
**As** AIVA  
**I need** a framework for creating test products  
**So that** I can validate revenue concepts

**Acceptance Criteria:**
- [ ] GHL sub-account creation workflow
- [ ] Naming convention (Test chatbot 035, Voice ai agent test 023)
- [ ] Testing environment setup
- [ ] Feedback collection mechanism
- [ ] Iteration workflow

### Story 13.2: MVP Chatbot Series (Target: 50 products)
**As** AIVA  
**I need** to build 50 test chatbot products  
**So that** Kinan can review and approve for revenue

**Acceptance Criteria:**
- [ ] Create GHL sub-account for each
- [ ] Build MVP chatbot
- [ ] Document test URL/localhost port
- [ ] Message Kinan for review
- [ ] Track approval status

**Products to build:**
1. Tradie Lead Capture Bot
2. Restaurant Reservation Bot
3. Real Estate Inquiry Bot
4. Dental Appointment Bot
5. Legal Intake Bot
... [Continue to 50]

### Story 13.3: MVP Voice Agent Series (Target: 50 products)
**As** AIVA  
**I need** to build 50 test voice agent products  
**So that** Kinan can review and approve for revenue

**Acceptance Criteria:**
- [ ] Create GHL sub-account for each
- [ ] Build MVP voice agent
- [ ] Document test phone number
- [ ] Message Kinan for review
- [ ] Track approval status

**Products to build:**
1. Tradie Receptionist Voice AI
2. Medical Appointment Voice Agent
3. Property Management Voice AI
4. Restaurant Host Voice Agent
5. Roadside Assistance Voice AI
... [Continue to 50]

### Story 13.4: Revenue Pipeline Validation
**As** AIVA  
**I need** complete revenue pipelines  
**So that** approved products can generate income

**Acceptance Criteria:**
- [ ] Payment processing integration
- [ ] Onboarding workflow
- [ ] Support documentation
- [ ] Analytics dashboard
- [ ] Scale-up playbook

---

## SPAWN DIRECTIVE

This PRD should spawn child PRDs for each track when:
1. A track requires deeper research
2. Implementation reveals complexity
3. New opportunities are discovered
4. Capability gaps are identified

**Spawning Authority:** FULL AUTONOMOUS

---

## SUCCESS METRICS

- [ ] 100 test products built and submitted for review
- [ ] Complete GHL mastery achieved
- [ ] MCP server library created
- [ ] Knowledge graph operational
- [ ] Memory optimization complete
- [ ] Revenue pipeline validated

---

## COMMUNICATION PROTOCOL

When a test product is ready:
```
MESSAGE TO KINAN:
"I built an MVP for [Product Name]. 
Type: [Chatbot/Voice Agent]
Test it: [URL/localhost port/phone number]
Description: [Brief description]
Please review and advise if ready for revenue run."
```

---

**END MASTER PRD**
