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AI for Databases: Field Guide, Live Apps & Lessons

Updated: 6 days ago

A 50-page, in-the-trenches document based on 15+ months of live client deployments. This guide bundles my practical lessons, the 8 live apps I built, and the full source code.


The Asset Includes:

  • The 50-Page Field Guide (PDF): A practitioner’s rulebook


  • 8 Live Apps (4 Variants): Fully functional apps for testing, including the flagship DATS-4 suite.


  • Full Source Code & System Architecture: All GitHub repositories and architectural diagrams.


Field Guide Contents:

  • Security: A checklist of hard rules for live deployments.

  • Datamarts & AI Context

  • Agent Setups & Orchestration: My 3-agent architecture and the rules for keeping agents in line.

  • LLM Choices: A recommendation matrix for different analytical tasks.

  • LLM Cost Analysis: Detailed cost breakdowns for simple vs. advanced queries, including my Cost vs. Quality Matrix.

  • Usage Patterns: Real-world use cases from client operations.

  • Platforms: The stack I use for servers, databases, and gateways.


The field guide, live app available at:

Access at: app.tigzig.com

Path: Database AI & SQL Apps


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