Independent field guides for applied AI
Make your AI workflows work smarter.
Practical guides for people building with language models. Clear methods, careful examples, and a focus on keeping quality intact.
Measure the whole job.
Keep the answer worth using.
FIELD GUIDE NO. 01Available now · Digital guide
AI Token Optimization
A practical guide to efficient language model workflows. Follow a real application through prompt design, retrieval, context packing, caching, tool control, model routing and evaluation.
- Measure cost per accepted result
- Protect evidence while trimming context
- Use caching and routing deliberately
- Test changes against task quality
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More guides ahead
A growing library for people who build with AI.
AI Mastery is growing one carefully made field guide at a time. Explore the upcoming titles currently in development.
Coming soon · Field guide 02
Mastering Claude
The next AI Mastery title is in development. We’ll share more details when it’s ready.
Explore the upcoming guide ↗
Coming soon · Field guide 03
Evaluating LLMs
A practical guide to measuring model quality, reliability, and cost with repeatable evaluations.
Explore the upcoming guide ↗
Coming soon · Field guide 04
AI Security
From red-team harnesses and prompt injection defenses to emerging privacy-preserving LLM research.
Explore the upcoming guide ↗