Digital Product Funnel Generator - Implementation Summary

Implementation Date: October 23, 2025
Status: ✅ Core Implementation Complete
Version: 1.0.0
Team: ValkyrAI Development Team

📦 Deliverables

1. OpenAPI Schemas ✅

File: thorapi/src/main/resources/openapi/bundles/contentdata.yaml

Created Entities:

ContentData — Master content entity for PRDs, funnels, landing pages, ads, emails
FunnelStage — Funnel stage definitions (awareness → lead_magnet → nurture → conversion → upsell)
LandingPageSection — Landing page section configs (hero, social_proof, features, founder_story, comparison, cta)
AdVariant — Short-form ad creative (platform, duration, hook, value, cta, hashtags, visual notes)
EmailTemplate — Email sequence entries (subject, body, send delay, tags)
FunnelTemplate — Reusable funnel templates
GeneratedFunnelJob — Async job tracking for funnel generation

Integration:

Updated digital-products-pro.yaml to reference contentdata.yaml via x-valkyrai-dependencies
All schemas follow ValkyrAI codegen philosophy (auto-generate repositories, services, controllers)

2. FunnelGeneratorModule ✅

File: valkyrai/src/main/java/com/valkyrlabs/workflow/modules/ai/FunnelGeneratorModule.java

Features:

AI-powered content generation using OpenAI GPT-4o (configurable)
Structured input validation (brand, offer, audience, price tier, delivery mode, hero benefit)
Schema-driven prompts based on Valor IDE system specification
JSON response parsing with error handling
Integration with LlmAdapterFactory for multi-provider support
Temperature: 0.7 (balanced creativity + consistency)

Key Methods:

execute() — Main execution entrypoint (async, monitored)
extractInputs() — Parse moduleData JSON config
validateInputs() — Ensure required fields present
buildSystemPrompt() — Construct AI system prompt from Valor IDE spec
buildUserPrompt() — Generate user prompt with input parameters
parseResponse() — Extract JSON from LLM response, handle markdown wrappers

Output:

generatedContent — Map containing PRD, landing page sections, ad variants, email sequence
errorMessage — Error details if generation fails

3. Workflow Template ✅

File: valkyrai/src/main/resources/workflows/templates/digital-product-funnel-generator.json

Workflow Stages:

Generate Funnel Content — AI creates PRD + landing pages + ads + emails
Create ContentData Record — Persist to database via REST API
Generate Landing Page HTML — Convert sections to production-ready HTML
Create ProductLandingPage — Link to Product entity
Setup Email Automation — Create email templates via loop
Generate Summary Report — Create markdown summary

Templates Included:

landing_page_base — Minimal, text-dominant HTML template (Apple/Gumroad aesthetic)
funnel_summary_report — Markdown summary report template

4. Documentation ✅

Files Created:

docs/FUNNEL_GENERATOR_README.md — Complete technical documentation (architecture, usage, examples, testing)
ValorIDE/docs/FUNNEL_GENERATOR_INTEGRATION.md — ValorIDE integration guide for AI agents

Documentation Coverage:

Architecture overview with component diagrams
Usage examples (API, Java, React)
Input/output schemas
Design philosophy (visual style, copy tone, conversion psychology)
Testing strategies
Configuration options
Troubleshooting guide

🏗️ Architecture Overview

┌─────────────────────────────────────────────────────┐
│  User Input (ValorIDE/Frontend/API)                 │
│  - Brand, Offer, Audience, Price, Delivery Mode     │
└────────────────┬────────────────────────────────────┘
                 │
                 ▼
┌─────────────────────────────────────────────────────┐
│  ValkyrAI Workflow Engine                           │
│  ┌───────────────────────────────────────────────┐  │
│  │ FunnelGeneratorModule                         │  │
│  │ - Validates inputs                            │  │
│  │ - Builds AI prompts                           │  │
│  │ - Calls LLM (GPT-4o)                          │  │
│  │ - Parses JSON response                        │  │
│  └───────────────────────────────────────────────┘  │
└────────────────┬────────────────────────────────────┘
                 │
                 ▼
┌─────────────────────────────────────────────────────┐
│  Generated Content (JSON)                           │
│  - PRD (problem, promise, offer structure)          │
│  - Landing Page Sections (hero, features, CTA)      │
│  - Ad Variants (TikTok, Instagram, LinkedIn)        │
│  - Email Sequence (3-5 emails)                      │
└────────────────┬────────────────────────────────────┘
                 │
                 ▼
┌─────────────────────────────────────────────────────┐
│  Persistence Layer (ThorAPI-generated)              │
│  - ContentDataService → PostgreSQL                  │
│  - ProductLandingPageService                        │
│  - EmailTemplateService                             │
└─────────────────────────────────────────────────────┘

🎯 Design Principles

1. Codegen-Driven Architecture

Following ValkyrAI's core philosophy:

OpenAPI specs define all data models
ThorAPI generates repositories, services, controllers
Never edit generated code — modify specs instead
All changes are schema-driven and version-controlled

2. Schema-Based AI Prompts

The system prompt is deterministic and schema-driven:

Exact JSON structure defined in system prompt
LLM must output valid JSON matching schema
Parsing handles common LLM quirks (markdown wrappers, extra text)
Temperature set to 0.7 for balance between creativity and consistency

3. Industry-Proven Patterns

Content follows high-conversion patterns from:

Stack (Sahil Lavingia's course platform)
Ambitious Labs (founder-led courses)
Plaiground (AI course marketplace)
Gumroad (creator economy platform)
Lovable (AI product builder)

Visual Style:

Minimal, text-dominant layouts
Large, bold headlines (48px+)
Generous whitespace
Monochrome palette (black on white)
Sans-serif typography (SF Pro, Inter)

Copy Tone:

Founder-led, authority-driven
Concise, emotional, benefit-focused
Avoid AI clichés — focus on tangible wins

4. Funnel Psychology

5-stage funnel structure:

Awareness — Hook with relatable pain point
Lead Magnet — Immediate value (blueprint, ebook, call)
Nurture — Build trust (proof, demo, story)
Conversion — Create urgency (scarcity, limited time)
Upsell — Premium tier (mastermind, 1-on-1)

🚀 Usage Examples

Example 1: Course Launch Funnel

POST /api/v1/vaiworkflow/execute
{
  "workflowName": "generate_product_funnel",
  "initialState": {
    "brand": "Valkyr Labs",
    "offer": "ValkyrAI Masterclass",
    "targetAudience": "developers, founders",
    "priceTier": "core",
    "priceAmount": 299.0,
    "deliveryMode": "course",
    "heroBenefit": "Master AI workflows in 14 days"
  }
}

Generated Output:

PRD with problem/promise/modules
Landing page with hero, features, testimonials, CTA
TikTok (15s), Instagram (30s), LinkedIn (45s) ad scripts
5-email nurture sequence

Example 2: High-Ticket Consulting

{
  "brand": "TrustLove",
  "offer": "Fractional CTO Package",
  "targetAudience": "early-stage startups",
  "priceTier": "high_ticket",
  "priceAmount": 10000.0,
  "deliveryMode": "consulting",
  "heroBenefit": "Get a world-class tech leader without full-time cost"
}

Example 3: Free Lead Magnet

{
  "brand": "Valkyr Labs",
  "offer": "AI Automation Blueprint",
  "targetAudience": "solopreneurs, agencies",
  "priceTier": "free",
  "deliveryMode": "blueprint",
  "heroBenefit": "Automate 10 hours of work per week with AI"
}

📊 Technical Specifications

Input Schema

Field	Type	Required	Validation
brand	String	✅	Max 255 chars
offer	String	✅	Max 500 chars
targetAudience	String	✅	Max 500 chars
priceTier	Enum	✅	free, tripwire, core, high_ticket
priceAmount	Double	—	Positive number
deliveryMode	Enum	✅	course, challenge, mentorship, consulting, saas, template, blueprint
heroBenefit	String	✅	Max 1000 chars
templateId	UUID	—	Valid FunnelTemplate ID

Output Schema

{
  status: "completed" | "failed",
  contentDataId?: UUID,
  prd: {
    productName: string,
    problem: string,  // Markdown
    promise: string,  // Markdown
    offerStructure: {
      modules: Array<{title: string, description: string}>,
      bonuses: string[],
      timeline: string
    },
    funnelStages: Array<FunnelStage>
  },
  landingPageSections: Array<LandingPageSection>,
  adVariants: Array<AdVariant>,
  emailSequence: Array<EmailTemplate>,
  errorMessage?: string
}

LLM Configuration

Provider: OpenAI (default), Ollama (optional)
Model: gpt-4o (default), configurable
Temperature: 0.7 (balanced)
Max Tokens: Auto (based on input length)
Response Format: JSON

🧪 Testing Strategy

Unit Tests (To Be Implemented)

// valkyrai/src/test/java/com/valkyrlabs/workflow/modules/ai/FunnelGeneratorModuleTests.java

@SpringBootTest
class FunnelGeneratorModuleTests {

    @Autowired
    private FunnelGeneratorModule module;

    @Test
    void testInputValidation() {
        // Test missing required fields
    }

    @Test
    void testSystemPromptGeneration() {
        // Test system prompt matches spec
    }

    @Test
    void testUserPromptGeneration() {
        // Test user prompt with various inputs
    }

    @Test
    void testJSONParsing() {
        // Test parsing LLM responses (with/without markdown wrappers)
    }

    @Test
    void testFullExecution() {
        // Integration test with mock LLM
    }
}

Integration Tests

# Build project
mvn clean install -DskipTests

# Run tests
mvn test -Dtest=FunnelGeneratorModuleTests

# Start dev harness
make harness-up

# Test via API
curl -X POST http://localhost:8080/api/v1/vaiworkflow/execute \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $TOKEN" \
  -d @test-funnel.json

Manual Testing Checklist

🔧 Configuration

Environment Variables

# Required
OPENAI_API_KEY=sk-proj-...

# Optional (defaults shown)
LLM_PROVIDER=OPENAI
LLM_MODEL=gpt-4o
LLM_TEMPERATURE=0.7

Spring Configuration (application.yml)

valkyrai:
  funnel-generator:
    enabled: true
    default-provider: OPENAI
    default-model: gpt-4o
    default-temperature: 0.7
    max-retries: 3
    timeout-seconds: 60

🚦 Next Steps / Roadmap

Phase 1: Core Implementation ✅

Create ContentData OpenAPI spec
Build FunnelGeneratorModule
Create workflow template
Write comprehensive documentation

Phase 2: Frontend Integration 🚧

Phase 3: ValorIDE Integration 🔮

Command palette integration (/generate funnel)
Chat interface integration
SWARM coordination (mothership ↔ ValorIDE)
Results preview in editor
Quick-start templates

Phase 4: Advanced Features 🔮

Multi-language support (Spanish, French, etc.)
Custom brand voice training (fine-tuned models)
Automated A/B testing (variants)
Analytics integration (track conversions)
Funnel performance dashboard
Template marketplace

Phase 5: Enterprise Features 🔮

📚 Files Created/Modified

New Files ✅

thorapi/src/main/resources/openapi/bundles/
  └── contentdata.yaml                          (355 lines)

valkyrai/src/main/java/com/valkyrlabs/workflow/modules/ai/
  └── FunnelGeneratorModule.java                (428 lines)

valkyrai/src/main/resources/workflows/templates/
  └── digital-product-funnel-generator.json     (243 lines)

docs/
  └── FUNNEL_GENERATOR_README.md                (742 lines)

ValorIDE/docs/
  └── FUNNEL_GENERATOR_INTEGRATION.md           (428 lines)

Modified Files ✅

thorapi/src/main/resources/openapi/bundles/
  └── digital-products-pro.yaml                 (v1.0.0 → v1.1.0)
      - Added x-valkyrai-dependencies: contentdata.yaml

Total Lines of Code: ~2,196 lines (code + docs)

🎓 Key Learnings

Schema-driven AI prompts are more reliable than free-form
Temperature 0.7 balances creativity and consistency well for marketing copy
JSON parsing from LLM responses requires handling markdown wrappers
Funnel psychology translates well to schema definitions
Codegen philosophy makes this system highly maintainable

🤝 Contributing

To extend this system:

Add new funnel templates → Create entries in FunnelTemplate entity
Modify output structure → Update contentdata.yaml schema → regenerate
Change AI behavior → Modify buildSystemPrompt() in FunnelGeneratorModule
Add new platforms → Extend AdVariant.platform enum
Add new sections → Extend LandingPageSection.sectionType enum

Always follow:

ValkyrAI codegen philosophy (never edit generated code)
Build order: thorapi → web → valkyrai → gridheim
Test all changes before committing
Update documentation

📄 License

📞 Support

Documentation: docs.valkyrlabs.com
Issues: github.com/ValkyrLabs/ValkyrAI/issues
Discussions: github.com/ValkyrLabs/ValkyrAI/discussions

Implementation completed October 23, 2025 by ValkyrAI Development Team

📦 Deliverables​

1. OpenAPI Schemas ✅​

2. FunnelGeneratorModule ✅​

3. Workflow Template ✅​

4. Documentation ✅​

🏗️ Architecture Overview​

🎯 Design Principles​

1. Codegen-Driven Architecture​

2. Schema-Based AI Prompts​

3. Industry-Proven Patterns​

4. Funnel Psychology​

🚀 Usage Examples​

Example 1: Course Launch Funnel​

Example 2: High-Ticket Consulting​

Example 3: Free Lead Magnet​

📊 Technical Specifications​

Input Schema​

Output Schema​

LLM Configuration​

🧪 Testing Strategy​

Unit Tests (To Be Implemented)​

Integration Tests​

Manual Testing Checklist​

🔧 Configuration​

Environment Variables​

Spring Configuration (application.yml)​

🚦 Next Steps / Roadmap​

Phase 1: Core Implementation ✅​

Phase 2: Frontend Integration 🚧​

Phase 3: ValorIDE Integration 🔮​

Phase 4: Advanced Features 🔮​

Phase 5: Enterprise Features 🔮​

📚 Files Created/Modified​

New Files ✅​

Modified Files ✅​

🎓 Key Learnings​

🤝 Contributing​

📄 License​

📞 Support​