Add TypeScript workflow functions to TankQuote MDX

[devin-ai-integration]

Add TypeScript workflow functions to TankQuote MDX

Summary

Added comprehensive TypeScript workflow functions to startups/tankquote.mdx that encode TankQuote AI's core business processes as executable code. The implementation covers five key areas:

• Customer Acquisition Workflows: Lead qualification, pilot proposals, and customer onboarding
• Product Development Processes: AI model development and shop-specific calibration
• Revenue Generation Flows: RFQ processing, quote generation, and pricing optimization
• Operational Procedures: Capacity management, pricing updates, and metrics tracking
• Decision-Making Workflows: Priority assessment, human review decisions, and margin optimization

The functions are strongly typed with async/await patterns, error handling, and compose into an end-to-end workflow orchestration. All existing YAML frontmatter and content structure was preserved.

Review & Testing Checklist for Human

• Verify business logic accuracy - Compare workflow functions against the lean canvas problem/solution statements to ensure the TypeScript code accurately represents the intended business processes
• Validate data structure design - Review the TypeScript interfaces (RFQPackage, Lead, Customer, Quote, etc.) to confirm they align with real-world data requirements for tank manufacturing
• Check workflow completeness - Ensure the end-to-end workflow (executeEndToEndWorkflow) covers all critical business steps without gaps or incorrect sequencing
• Assess decision logic - Review qualification criteria, pricing decisions, and human review triggers to confirm they match business requirements (e.g., NAICS 332420 validation, $10M-200M revenue range)
• Confirm metrics alignment - Verify that trackMetrics() function measures align with the key metrics defined in the frontmatter (cycle time reduction ≥65%, extraction accuracy ≥98%, etc.)

Test Plan: Since this is conceptual business-as-code, testing should focus on logical review rather than execution. Validate each workflow function against the corresponding business process described in the lean canvas and service definition.

---

Diagram

%%{ init : { "theme" : "default" }}%%
graph TD
    tankquote["startups/tankquote.mdx<br/>TankQuote Business Definition"]:::major-edit
    
    subgraph "New TypeScript Workflows"
        acquisition["Customer Acquisition<br/>acquireCustomer()"]:::major-edit
        development["Product Development<br/>developAIModel()"]:::major-edit
        revenue["Revenue Generation<br/>processRFQ()"]:::major-edit
        operations["Operations<br/>manageCapacity()"]:::major-edit
        decisions["Decision Making<br/>evaluateRFQPriority()"]:::major-edit
    end
    
    subgraph "Existing Content (Preserved)"
        frontmatter["YAML Frontmatter<br/>Lean Canvas Data"]:::context
        storybrand["StoryBrand Framework"]:::context
        landing["Landing Page Content"]:::context
    end
    
    tankquote --> acquisition
    tankquote --> development
    tankquote --> revenue
    tankquote --> operations
    tankquote --> decisions
    
    frontmatter -.-> acquisition
    frontmatter -.-> revenue
    
    subgraph Legend
        L1[Major Edit]:::major-edit
        L2[Minor Edit]:::minor-edit  
        L3[Context/No Edit]:::context
    end
    
    classDef major-edit fill:#90EE90
    classDef minor-edit fill:#87CEEB
    classDef context fill:#FFFFFF

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Notes

• The TypeScript functions are conceptual/pseudocode that reference helper functions not yet implemented (e.g., enrichCompanyData, performOCR, fetchSteelIndices)
• Functions are designed to be composable and represent the business logic described in the lean canvas
• Error handling and human-in-the-loop patterns are included throughout the workflows
• The code serves as a specification for how TankQuote AI business processes should operate

Link to Devin run: https://app.devin.ai/sessions/fa18c9cd413d4ebbbc5b5eaad46e81a5
Requested by: unknown user

[devin-ai-integration]

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