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Getting Started

New to AI systems? Pick your path and start learning. Whether you want to understand AI, build something real, or find a quick answer - we have a route for you.

Choose your path

What brings you here?

Path A

I want to understand AI systems

Build a solid mental model of how AI works, from capabilities down through the engineering stack.

1 Read the Four Layers overview 2 Explore AI capabilities 3 Look up terms in the glossary

Path B

I want to build something

Jump straight into project guides with step-by-step instructions, code patterns, and tool recommendations.

1 Browse build guides 2 Study engineering patterns 3 Pick the right tools

Path C

I need a specific answer

Search the wiki, check the glossary for definitions, or compare tools side-by-side to make a quick decision.

1 Use site search 2 Browse the glossary 3 Compare tools

Start here

Overview 5 min

The Four Layers of AI Systems

A conceptual map of the entire wiki - how AI capabilities, engineering patterns, software foundations, and infrastructure stack together.

Read overview

Patterns 8 min

RAG Architecture Patterns

Retrieval-augmented generation is the most deployed AI pattern in production. Learn the variants, tradeoffs, and when to use each.

Learn RAG

Architecture 10 min

Software Architecture for AI

A visual reference to the architectural patterns that recur across AI systems - from agent loops to event-driven pipelines.

See patterns

Tools 6 min

LLM Platform Comparison

OpenAI, Anthropic, Google, AWS Bedrock - how the major model providers compare on capability, cost, and production readiness.

Compare platforms

Engineering 7 min

Git and Version Control for AI Teams

How to apply version control discipline to AI projects - including prompt files, model configs, evaluation datasets, and experiment tracking.

Read guide

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Industry Solutions How-to Guides Patterns Tool Reviews Frameworks Comparisons Glossary AI Ideas Case Patterns Software Engineering