AI Mastery · Field guide 01
AI Token Optimization
A practical guide to efficient language model workflows. Make AI systems more efficient without making them less dependable.

Context / Cost / Quality
Spend fewer tokens on avoidable work.
Every model call has a context, a cost and a consequence. This field guide helps developers and technical leads find wasted work across complete AI workflows while protecting the evidence and quality each answer needs.
Follow one support assistant through token accounting, prompt design, retrieval, compression, caching, tool control, model routing and evaluation. Clear equations, realistic failure modes, six exercises and reusable worksheets make the methods ready to apply.
- Compare cost per accepted result
- Calculate cache break-even
- Pack evidence with its exceptions
- Test every reduction against task criteria
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