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Understand AI mechanically.Build and use with confidence.Know when it fails.
AUDIENCE
- developers building AI features
- sysadmins automating with AI
- support staff using AI daily
- curious minds exploring AI
MISSION
We teach what breaks and why.
Concepts. Tools. Patterns. Failure modes.
ACTIONS
Pick Your Learning Path
Whether you're a senior engineer or just starting to explore AI systems, if you want mechanical understanding over reassurance, you're in the right place.
Start here if you're curious: What is an LLM? Token management? Stochastic vs deterministic?
- How to Use This Site
- LLM Mechanics: How Models Actually Work
- System Classification: Why Category Errors Kill Systems
Start here to understand: How do I use Claude Code effectively? What tools exist for AI-augmented work?
Explore ToolsStart here if you're building: How do I handle context windows? Manage failures? Build with eyes open?
- The Staging-Production Gap: Why Tests Lie
- Automation Authority: Reversibility Gaps
- Context Rot: Silent Quality Degradation
Start here if something broke: Why did this fail? What did I miss? How do I prevent it?
- Token Economics and Hallucination Costs
- Plausible Wrongness: Detection Strategies
- Silent Failure Signatures and Detection