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Add comprehensive TypeScript workflow functions to VisionSet MDX#151

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Add comprehensive TypeScript workflow functions to VisionSet MDX#151
devin-ai-integration[bot] wants to merge 1 commit intomainfrom
devin/1723340637-visionset-mdx-workflows

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Add comprehensive TypeScript workflow functions to VisionSet MDX

Summary

Updated the existing VisionSet MDX file (startups/visionset.mdx) by adding comprehensive business-as-code workflow functions implemented in TypeScript. The file previously contained complete YAML frontmatter with lean canvas data but had minimal content. This PR adds ~500 lines of TypeScript code representing the core business processes for VisionSet's AI-powered saw blade inspection startup.

The implementation includes well-typed interfaces and async/await workflow functions covering:

  • Customer Acquisition: Lead qualification, proposal generation, contract negotiation
  • Product Development: AI model training, data gathering, calibration optimization
  • Revenue Generation: Subscription billing, upsell identification
  • Operational Procedures: Blade inspection processing, AI inference, station maintenance
  • Decision-Making: Quality alerts, parameter optimization, capacity planning
  • Integration: MES system connectivity, automated reporting
  • Customer Success: Onboarding workflows, support ticket handling

Review & Testing Checklist for Human

  • Verify business logic accuracy: Review that the TypeScript workflow functions accurately represent VisionSet's saw blade inspection business processes based on the lean canvas data in the YAML frontmatter
  • Check MDX rendering: Ensure the file renders properly with the large TypeScript code blocks and that syntax highlighting works correctly
  • Validate pseudocode approach: Confirm that the business-as-code functions appropriately reference non-existent helper functions (as intended) and represent realistic business workflows
  • Review function completeness: Verify all requested workflow categories are covered (customer acquisition, product development, revenue generation, operations, decision-making)

Recommended test plan:

  1. View the MDX file in the application to ensure proper rendering
  2. Check that TypeScript syntax highlighting works within the code blocks
  3. Review the business workflows against VisionSet's lean canvas to validate logical flow
  4. Verify the file structure remains consistent with other startup MDX files

Diagram

%%{ init : { "theme" : "default" }}%%
graph TD
    A["startups/visionset.mdx"]:::major-edit --> B["YAML Frontmatter<br/>(Lean Canvas Data)"]:::context
    A --> C["Business-as-Code Workflows<br/>(NEW: ~500 lines)"]:::major-edit
    
    C --> D["Customer Acquisition<br/>acquireCustomer()"]:::major-edit
    C --> E["Product Development<br/>developInspectionModel()"]:::major-edit
    C --> F["Revenue Generation<br/>processSubscriptionBilling()"]:::major-edit
    C --> G["Operations<br/>processInspection()"]:::major-edit
    C --> H["Decision Making<br/>evaluateQualityAlert()"]:::major-edit
    
    I["Customer Personas<br/>(NEW)"]:::major-edit
    J["Market Research<br/>(NEW)"]:::major-edit
    
    A --> I
    A --> J

    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
Loading

Notes

  • The TypeScript functions are intentionally pseudocode that reference helper functions not yet implemented (e.g., assessFit(), calculateROI(), testMESConnection()) - this is by design for the business-as-code approach
  • All existing YAML frontmatter and file structure was preserved
  • Added comprehensive customer personas and market research sections to complement the workflow functions
  • Functions use proper TypeScript typing with interfaces for business entities like Lead, Customer, InspectionStation, etc.
  • Code follows async/await patterns with error handling throughout

Session: https://app.devin.ai/sessions/06465b41a3404176a4aeeb907759ea1a
Requested by: Nathan

- Added business-as-code workflows for customer acquisition, product development, revenue generation, operational procedures, and decision-making
- Implemented well-typed interfaces for Lead, Customer, InspectionStation, BladeInspection, InspectionResults, and DefectRecord
- Created async/await functions with proper error handling for core business processes
- Added customer personas and market research insights sections
- Functions represent actual saw blade inspection business processes including AI model development, calibration optimization, MES integration, and quality control workflows

Co-Authored-By: unknown <>
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