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Applied AI Blueprints

Overview​

Applied AI Blueprints is a collection of step-by-step guides for connecting modern AI tools and automation platforms to create voice-first CRM systems and other practical AI-powered workflows. These blueprints are designed for applied AI engineers and technical practitioners who want to implement real-world automation solutions.

Purpose​

This folder contains detailed implementation guides that bridge the gap between:

  • Voice-first meeting tools (like Granola)
  • AI coding assistants (like Cursor Cloud Agent)
  • Automation platforms (like Zapier)
  • Repository-based CRM systems (like this GitHub repository)

Current Blueprints​

1. Granola to Cursor CRM Automation​

File: granola-to-cursor-crm-automation-guide.md

A comprehensive guide for connecting Granola meeting notes to Cursor Cloud Agent via Zapier, enabling automatic processing of meeting transcripts into structured relationship files and transcript summaries.

Use Case: Voice-first CRM for two-person conversations Complexity: Intermediate Time to Implement: 2-4 hours

Blueprint Structure​

Each blueprint includes:

  1. Overview: What the automation does and why it's useful
  2. Prerequisites: All accounts, API keys, and subscriptions needed
  3. Step-by-Step Implementation: Detailed instructions with screenshots references
  4. Configuration Details: API endpoints, payloads, and field mappings
  5. Testing: How to verify the automation works
  6. Troubleshooting: Common issues and solutions
  7. Best Practices: Recommendations for maintenance and optimization

Target Audience​

These blueprints are designed for:

  • Applied AI engineers
  • Technical founders
  • Automation specialists
  • Developers building CRM systems
  • Anyone wanting to connect AI tools for practical business outcomes

Philosophy​

These blueprints prioritize:

  • Practical implementation over theoretical concepts
  • Step-by-step clarity over brevity
  • Real-world use cases over demos
  • Troubleshooting support for common issues
  • Best practices for production use

Contributing​

When creating new blueprints:

  1. Test thoroughly before documenting
  2. Include all prerequisites upfront
  3. Provide troubleshooting for common issues
  4. Use clear, actionable language
  5. Include code examples and configuration snippets
  6. Document expected costs and limitations

Future Blueprints​

Potential additions:

  • Other voice tools to CRM integrations
  • Multi-step automation workflows
  • Custom AI agent configurations
  • Integration with other platforms (Notion, Airtable, etc.)
  • Advanced filtering and processing logic

This collection represents practical, tested implementations of AI automation for real business needs.