AI for Databases: Field Guide, Live Apps & Lessons
- Amar Harolikar
- Aug 10
- 1 min read
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