XE LABS LEARNING SYSTEM

Understand how AI systems actually work.

Explore visual explanations, interactive mind maps, production-grade code and real systems built by XE Labs.

KNOWLEDGE GRAPH LIVE MAP
128 connected conceptsDrag to explore

CHOOSE YOUR ENTRY POINT

Learn the way your mind naturally works.

Start with a role, a system, a concept, or something you want to ship. Every route connects to the same knowledge graph.

FLAGSHIP LEARNING PATHS

Go from first principles to production.

Structured, practical sequences built around the skills engineering teams use to ship reliable AI systems.

BEGINNER → ADVANCED

AI Agent Engineer

From LLM foundations to tools, memory, planning, evaluation and deployment.

8 modules4 labs2 projects12 hours
View learning path
PATH MAP6 STAGES
01FoundationsSTART HERE
02Tools
03Memory
04Planning
05Evaluate
06Deploy

THE AI KNOWLEDGE UNIVERSE

See where everything connects.

Every concept has a place. Explore prerequisites, related systems, and what each topic unlocks next.

100%

SYSTEM ANATOMY

Learn through real systems.

Go beyond isolated syntax. See the components, data movement, decisions, and failure points inside complete AI products.

VISUAL GUIDES

Complex ideas, made visible.

View all guides

HANDS-ON LAB 01

Build your first tool-calling agent.

Wire a model to a live weather tool, inspect the structured call, and verify the final answer.

35 minutes Beginner TypeScript
  1. 1Set up the model and tool schema
  2. 2Inspect the generated arguments
  3. 3Execute, return, and verify the result
agent.tsXE LABS PLAYGROUND
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const weatherTool = {
  name: "get_weather",
  description: "Get live weather",
  parameters: { city: "string" }
};

const response = await agent.run({
  prompt: "Weather in Delhi?",
  tools: [weatherTool]
});
EXECUTION TRACE
Run the lab to inspect every step

SHIP THE WHOLE THING

Projects from first sketch to production.

Completion means a working, tested, evaluated, and deployable system—not a page you scrolled through.

FAILURE LIBRARY

Learn from what breaks.

Production AI improves faster when failures are named, traced and turned into repeatable checks.

Browse the failure library

NOTES FROM THE LAB

What shipped.
What failed.
What we learned.

Engineering breakdowns from the systems and experiments inside XE Labs.

Read all lab notes

FROM KNOWLEDGE TO SYSTEMS

Don't just learn AI.
Build systems that work.

Build With XE Labs