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Add TypeScript workflow functions to AeolianGuard MDX

Summary

Enhanced the startups/aeolianguard.mdx file by adding comprehensive TypeScript workflow functions that encode AeolianGuard's core business processes as executable code. The existing YAML frontmatter with lean canvas data was preserved, and ~480 lines of TypeScript code were added to represent:

  • Customer acquisition workflows: Lead qualification, site assessment, proposal generation
  • Sensor deployment processes: Network installation, calibration, monitoring
  • Real-time alert systems: Exceedance detection, source attribution, automated responses
  • Regulatory reporting automation: Multi-jurisdiction compliance reports with QA/QC
  • Revenue generation flows: Subscription billing, account expansion, usage tracking
  • Operational workflows: Performance optimization, complaint correlation, maintenance prioritization

All functions use proper async/await patterns, strong typing, and error handling. The code is designed to be modular and composable, representing how the startup operates at a business process level.

Review & Testing Checklist for Human

  • Verify MDX rendering: Load the file in the Next.js application to ensure the TypeScript code block renders correctly without breaking the page
  • Business logic consistency: Review the workflow functions against the lean canvas data to ensure the business processes align with the stated problem/solution model
  • TypeScript type coherence: Check that interfaces and types are consistently defined and used throughout the workflow functions (look for missing type definitions or inconsistent naming)

Test Plan

  1. Navigate to the AeolianGuard page in the local development server
  2. Verify the page loads without errors and displays the TypeScript code properly
  3. Check that the existing YAML frontmatter data still renders correctly alongside the new code

Diagram

%%{ init : { "theme" : "default" }}%%
graph TD
    StartupDir["startups/"]:::context
    AeolianMDX["startups/aeolianguard.mdx"]:::major-edit
    YAMLData["YAML Frontmatter<br/>(lean canvas data)"]:::context
    TSWorkflows["TypeScript Workflows<br/>(~480 lines added)"]:::major-edit
    
    StartupDir --> AeolianMDX
    AeolianMDX --> YAMLData
    AeolianMDX --> TSWorkflows
    
    CustomerAcq["Customer Acquisition<br/>Workflows"]:::major-edit
    SensorDeploy["Sensor Deployment<br/>& Monitoring"]:::major-edit
    AlertSystems["Real-time Alert<br/>Systems"]:::major-edit
    Reporting["Regulatory Reporting<br/>Automation"]:::major-edit
    Revenue["Revenue Generation<br/>Flows"]:::major-edit
    Operations["Operational Excellence<br/>& Decision Making"]:::major-edit
    
    TSWorkflows --> CustomerAcq
    TSWorkflows --> SensorDeploy
    TSWorkflows --> AlertSystems
    TSWorkflows --> Reporting
    TSWorkflows --> Revenue
    TSWorkflows --> Operations
    
    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 - this represents the business logic architecture
  • All functions follow async/await patterns suitable for real-time environmental monitoring operations
  • The code maintains strong typing throughout to ensure data integrity across sensor networks and compliance reporting
  • Functions are designed to integrate with existing quarry management systems and regulatory frameworks

Link to Devin run: https://app.devin.ai/sessions/675e381aa4d84f64beb603b13e294c13
Requested by: unknown user

- Added customer acquisition workflows (lead qualification, site assessment, proposal generation)
- Implemented sensor deployment and monitoring processes
- Created real-time alert and response systems with source attribution
- Added regulatory reporting automation for multiple jurisdictions
- Implemented revenue generation workflows (billing, account expansion)
- Added operational excellence workflows (optimization, complaint correlation)
- Included decision-making workflows for compliance and maintenance
- All functions are well-typed with proper async/await patterns and error handling
- Functions represent core business processes for environmental monitoring operations

Co-Authored-By: unknown <>
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