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Add TypeScript workflow functions to PeakMold energy optimization startup#137

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Add TypeScript workflow functions to PeakMold energy optimization startup#137
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devin/1754873554-peakmold-workflows

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Add TypeScript workflow functions to PeakMold energy optimization startup

Summary

Updated the existing startups/peakmold.mdx file by adding comprehensive TypeScript workflow functions for business processes. The file previously contained only YAML frontmatter with lean canvas data and a basic title/description. This PR adds 5 major sections of TypeScript functions representing core business workflows:

  • Customer Acquisition Workflows: Lead qualification, energy ROI proposals, and pilot negotiations
  • Product Development Processes: Energy optimization engine development, digital twin creation, and ERP integrations
  • Revenue Generation Flows: Pricing optimization, expansion opportunities, and customer lifetime value
  • Operational Procedures: Energy monitoring, production scheduling, and demand response management
  • Decision-Making Workflows: Optimization recommendations, investment evaluations, and contract decisions
  • Event-Driven Workflows: Real-time handlers for peak demand alerts, demand response events, and energy price updates

All functions use proper TypeScript typing with async/await patterns, error handling, and domain-specific interfaces for plastics manufacturing energy optimization.

Review & Testing Checklist for Human

  • Verify MDX rendering: Load the file in the Next.js app to ensure all TypeScript code blocks render correctly without syntax errors
  • Review business logic accuracy: Validate that the energy optimization workflows align with actual plastics manufacturing processes and constraints (mold changeovers, demand charges, tariff structures)
  • Check TypeScript interface consistency: Ensure the new interfaces don't conflict with existing type definitions and follow consistent naming patterns
  • Validate workflow realism: Confirm the function signatures and business processes represent realistic operations for energy-aware production scheduling
  • Test startup directory integration: Verify the file structure and content follow the same patterns as other startup MDX files in the directory

Recommended test plan: Load the startup page locally, verify TypeScript syntax highlighting works, and review the content structure matches other startup examples like promolift.mdx.


Diagram

%%{ init : { "theme" : "default" }}%%
graph TD
    MDX["startups/peakmold.mdx<br/>Energy Optimization Startup"]:::major-edit
    YAML["YAML Frontmatter<br/>(Lean Canvas Data)"]:::context
    CUSTOMER["Customer Acquisition<br/>Workflows"]:::major-edit
    PRODUCT["Product Development<br/>Processes"]:::major-edit
    REVENUE["Revenue Generation<br/>Flows"]:::major-edit
    OPERATIONS["Operational<br/>Procedures"]:::major-edit
    DECISIONS["Decision-Making<br/>Workflows"]:::major-edit
    EVENTS["Event-Driven<br/>Workflows"]:::major-edit
    
    MDX --> YAML
    MDX --> CUSTOMER
    MDX --> PRODUCT
    MDX --> REVENUE
    MDX --> OPERATIONS
    MDX --> DECISIONS
    MDX --> EVENTS
    
    CUSTOMER --> |"Lead qualification<br/>Energy ROI proposals"| PRODUCT
    PRODUCT --> |"Digital twin creation<br/>ERP integrations"| OPERATIONS
    REVENUE --> |"Pricing optimization<br/>Expansion opportunities"| DECISIONS
    OPERATIONS --> |"Energy monitoring<br/>Production scheduling"| EVENTS
    
    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 other functions not yet implemented, as specified in the requirements
  • All functions include proper error handling and are well-typed with domain-specific interfaces for energy optimization in plastics manufacturing
  • The content significantly expands the file from ~344 lines to ~909 lines, adding substantial business process documentation
  • Linting passed with no new errors introduced by these changes

Link to Devin run: https://app.devin.ai/sessions/cf1825bbbdb04230a07411176a350b26
Requested by: User (unknown)

- Added Customer Acquisition Workflows with lead qualification and energy ROI proposals
- Added Product Development Processes for energy optimization engines and digital twins
- Added Revenue Generation Flows for pricing optimization and expansion opportunities
- Added Operational Procedures for energy monitoring and production scheduling
- Added Decision-Making Workflows for optimization recommendations and investment decisions
- Added Event-Driven Workflows for real-time energy management and demand response
- All functions are well-typed with async/await patterns and proper error handling
- Functions represent specific business processes for energy-aware plastics manufacturing scheduling

Co-Authored-By: unknown <>
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