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Add TypeScript workflow functions to PeakMold MDX#139

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Add TypeScript workflow functions to PeakMold MDX#139
devin-ai-integration[bot] wants to merge 1 commit intomainfrom
devin/1723339607-peakmold-mdx-workflows

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Add TypeScript workflow functions to PeakMold MDX

Summary

This PR enhances the existing peakmold.mdx file by adding comprehensive TypeScript workflow functions that represent PeakMold's core business processes as executable code. The existing YAML frontmatter with lean canvas data is preserved, and new TypeScript functions are added to encode the business logic for the energy-aware scheduling platform.

Key additions:

  • Customer Acquisition Workflows: Lead qualification, ROI calculation, pilot setup, contract negotiation, and customer onboarding
  • Product Development Processes: Energy optimization algorithms, ERP integration, digital twin modeling, and continuous improvement
  • Revenue Generation Flows: SaaS subscription management, performance-based pricing, enterprise licensing, and revenue tracking
  • Operational Procedures: Plant onboarding, data integration, schedule optimization, and performance monitoring
  • Decision-Making Workflows: Real-time scheduling decisions, demand response participation, cost analysis, and what-if scenarios

All functions use proper TypeScript typing with async/await patterns and include comprehensive type definitions for the energy-aware scheduling domain.

Review & Testing Checklist for Human

⚠️ Risk Level: HIGH - This PR adds complex, untested business logic code that may have compilation or parsing issues.

  • Verify MDX parsing: Ensure the file parses correctly with the large TypeScript code block mixed with YAML frontmatter
  • Test TypeScript compilation: Check that all types and function signatures compile without errors (many helper functions are referenced but not implemented)
  • Validate business logic accuracy: Review workflow functions against actual PeakMold business requirements to ensure they accurately represent the energy-aware scheduling processes
  • Test platform integration: Verify the described integration points with .do platform (Functions, Workflows, Agents) are correct and feasible
  • Check code quality: Review TypeScript conventions, error handling patterns, and overall code structure for consistency with project standards

Recommended test plan:

  1. Build the project to verify MDX parsing works
  2. Run TypeScript compiler on extracted code blocks
  3. Review each workflow function against the lean canvas data for alignment
  4. Test MDX rendering in the application UI
  5. Validate that usage examples in the code actually work

Diagram

%%{ init : { "theme" : "default" }}%%
flowchart TD
    peakmold["startups/peakmold.mdx<br/>(PeakMold MDX File)"]:::major-edit
    yaml["YAML Frontmatter<br/>(Lean Canvas Data)"]:::context
    workflows["TypeScript Workflows<br/>(Business Functions)"]:::major-edit
    types["Type Definitions<br/>(Domain Models)"]:::major-edit
    integration["Platform Integration<br/>(Functions/Workflows/Agents)"]:::major-edit
    
    peakmold --> yaml
    peakmold --> workflows
    workflows --> types
    workflows --> integration
    
    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 existing YAML frontmatter (344 lines) with comprehensive lean canvas data was preserved unchanged
  • Many helper functions are referenced but marked as pseudocode implementations - these would need to be implemented for the code to actually execute
  • The TypeScript code represents conceptual business logic rather than immediately executable functions
  • Integration points with the .do platform are described but not actually implemented
  • This work was requested by an unknown user in session: https://app.devin.ai/sessions/f1d254caa6b8482d917afdb08d6a85f7

⚠️ Important: This code has not been tested for compilation or execution. The primary value is in documenting the business processes as code, but significant additional work would be needed to make these functions actually executable.

- Added customer acquisition workflows (lead qualification, ROI calculation, pilot setup)
- Added product development processes (energy optimization, ERP integration, digital twin)
- Added revenue generation flows (SaaS management, performance-based pricing, enterprise expansion)
- Added operational procedures (plant onboarding, schedule optimization, performance monitoring)
- Added decision-making workflows (scheduling decisions, demand response, what-if analysis)
- All functions use proper TypeScript typing with async/await patterns
- Functions represent executable business logic for energy-aware scheduling platform
- Includes integration points with .do platform (Functions, Workflows, Agents)
- Maintains existing YAML frontmatter with lean canvas data

Co-Authored-By: unknown <>
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