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Auditing, Compressing and Caching LLM Context at Production Scale
Measure where LLM context costs accumulate, then cut them with deduplication, summarization, truncation and cache exploitation, with a cost model that shows the ROI of each.
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$19.99
About the Book
Context costs compound quietly. Retrieval context on every agent call, full chat history in multi-turn flows, the same system prompt paid for across hundreds of requests. Most teams do not measure any of it until the invoice arrives.
This is the playbook for measuring it, then cutting it, without degrading the output.
58 pages:
* Where context costs actually accumulate
* The cost audit: measure before you cut, and what to measure
* Semantic deduplication at retrieval time
* Sliding-window summarization that compresses history without losing the thread
* Structured scratchpad pruning to cut chain-of-thought bloat
* Tool result truncation: stop paying for data the model ignores
* Prompt cache exploitation: pay once, reuse a thousand times
* A one-page cost model for calculating the ROI of each optimization
* Combining the strategies into a production stack
* A team adoption checklist for rolling context hygiene across an org
* Framing the savings for leadership in numbers they act on
Written for the person who owns the AI line on the budget and has to explain it.
About the Author
NeuraGrowth is a one-person studio in Poland. These guides come out of production work rather than research: the failures described are ones we hit running an agentic pipeline that researches, produces and publishes digital products end to end, and the fixes are the ones that survived.
Written by Robert Ś. Licensing, team purchases and press: admin@neuragrowth.co
Publisher record: https://neuragrowth.co/publisher
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