Add BlockSense business workflow functions

[devin-ai-integration]

Add BlockSense business workflow functions

Summary

Added a new MDX file (examples/startups/blocksense.mdx) that implements comprehensive business workflow functions for BlockSense, a fictional predictive maintenance platform for concrete block and brick manufacturing plants. The file demonstrates the "business-as-code" concept by encoding an entire business model as executable TypeScript functions.

The implementation includes:

• Customer acquisition workflows (lead qualification, proposal generation, technical assessment)
• Product development processes (predictive model development, domain-specific failure signatures)
• Revenue generation flows (SaaS subscriptions, expansion opportunities, outcome-based bonuses)
• Operational procedures (system deployment, edge gateway installation, CMMS integration)
• Decision-making workflows (expansion evaluation, customer success monitoring)
• Partnership and market expansion (OEM partnerships, international expansion)

All functions are properly typed with comprehensive TypeScript interfaces and follow async/await patterns with error handling. The business logic is based on the provided lean canvas data for a predictive maintenance solution targeting the concrete block/brick manufacturing industry.

Review & Testing Checklist for Human

• Verify business logic alignment - Check that the workflow functions accurately represent the BlockSense lean canvas requirements and business model
• Validate TypeScript syntax - Ensure all function signatures, types, and interfaces are correctly structured (note: functions are intentionally pseudocode)
• Test MDX processing - Run mdxe on the file to confirm it can be parsed and executed by the MDX toolchain
• Check frontmatter compliance - Verify the YAML frontmatter follows project conventions for startup examples
• Review business-as-code approach - Assess whether this implementation aligns with the intended vision for the business-as-code package

Recommended test plan: Try running mdxe examples/startups/blocksense.mdx to verify the file processes correctly within the MDX ecosystem.

---

Diagram

%%{ init : { "theme" : "default" }}%%
flowchart TD
    subgraph "Examples Directory"
        StartupDir["examples/startups/"]:::context
        ReadmeMd["examples/startups/README.md"]:::context
        BlocksenseMdx["examples/startups/blocksense.mdx"]:::major-edit
    end
    
    subgraph "MDX Ecosystem"
        MdxeEngine["mdxe execution engine"]:::context
        MdxaiPackage["@mdxai package"]:::context
        TypescriptTypes["TypeScript type system"]:::context
    end
    
    subgraph "Business Functions"
        CustomerAcq["Customer Acquisition"]:::major-edit
        ProductDev["Product Development"]:::major-edit
        RevenueGen["Revenue Generation"]:::major-edit
        Operations["Operational Procedures"]:::major-edit
    end
    
    StartupDir --> BlocksenseMdx
    BlocksenseMdx --> MdxeEngine
    BlocksenseMdx --> CustomerAcq
    BlocksenseMdx --> ProductDev
    BlocksenseMdx --> RevenueGen
    BlocksenseMdx --> Operations
    
    MdxeEngine --> TypescriptTypes
    
    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

• This is entirely new pseudocode - the TypeScript functions reference other functions that don't exist yet, which is intentional per the requirements
• The business model is based on predictive maintenance for concrete block/brick manufacturing, with specific focus on reducing unplanned downtime by 15-25%
• All revenue streams, cost structures, and operational metrics are derived from the provided lean canvas context
• The file demonstrates event-driven business process orchestration using the MDX ecosystem's capabilities

Link to Devin run: https://app.devin.ai/sessions/eb003f2e48b6415c9e379ee99252db57
Requested by: unknown user

[devin-ai-integration]

🤖 Devin AI Engineer

I'll be helping with this pull request! Here's what you should know:

✅ I will automatically:

• Address comments on this PR. Add '(aside)' to your comment to have me ignore it.
• Look at CI failures and help fix them

Note: I can only respond to comments from users who have write access to this repository.

⚙️ Control Options:

• Disable automatic comment and CI monitoring