Guides and decision frameworks
Resources
Technical guides for teams evaluating AI infrastructure. Each page covers a specific decision with neutral analysis, concrete math, and practical tradeoffs.
How to reduce AI API costs without losing capability
The math behind AI tool token costs, four approaches compared with honest tradeoffs, and concrete examples at real pricing.
Read guide →Grounded retrieval vs RAG: what is the difference
Definitions, mechanisms, strengths, weaknesses, and a decision matrix for when each approach fits.
Read guide →MCP token optimization: your biggest hidden cost
Why MCP tool schemas are the fastest-growing line item in AI API bills and five strategies to control them.
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