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A practical path from AI demos to production-ready systems.

AI Tool Stack is a curriculum and library for builders who want more than demos: learn the ideas, study complete projects, and apply production patterns that survive real workflows.

How to use this site

Read the Foundations

Build your base with essential concepts, patterns, and mental models for AI engineering.

Study a Project

Dive into complete systems with architecture, code, decisions, and lessons.

Explore a Segment

Go deeper into a domain area like Document AI, RAG/Agents, or Computer Vision.

Your learning path

Foundations

Core concepts, system thinking, prompting, data, evaluation.

Project Systems

End-to-end walkthroughs of real AI systems.

Reliability

Validation, quality, monitoring, reviews, and safety.

Deployment Reality

Deployment options, costs, scale, security, and operations.

Recommended first project

PolicyTrace

A Document AI system for multi-PDF UK insurance packs: golden record extraction with validation, arbitration, PII masking, and a human-in-the-loop review UI.

Docs Real Documents

Handles complex, multi-document insurance packs.

Ready Production-Aware

Validation, conflict detection, PII masking, and audit trail.

System Full System

FastAPI backend, React UI, and review workflow.

View Project Page Explore Document AI

Curated reading

General AI Engineering

Why Most AI Demos Fail in Production -> The Checklist Before You Build -> AI Systems Need Evidence, Not Just Outputs -> Evaluation Is an Engineering Problem ->

Document AI

Document AI in the Real World -> Extraction Is Easy. Reliability Is Hard. -> Multi-Document Arbitration Patterns -> PII Masking That Actually Works ->

Ready to dive in?

Pick a path and start building systems that matter.

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