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3 articles

C
AILLMcaching

Caching LLM Responses Safely: What to Cache and What Never To

Caching LLM answers saves tokens and latency — and can leak one user's data to another if done carelessly. A safe design: cache only answers that are identical for everyone, key on normalized question plus content version, expire, and lock the cache down.

Sep 24, 2026 7 min read
H
AILLMcost

How to Reduce LLM Token Usage Without Worse Answers

Practical ways to cut LLM token usage — skip the model when rules suffice, send less context, route to smaller models, cache repeated answers, use provider prompt caching and cap output — with measured numbers from a production assistant.

Sep 24, 2026 6 min read
H
AIcostFinOps

How to Track Your Team's AI and API Spend

AI and API costs sprawl across teams and cards until an invoice surprises you. A lightweight way to track spend — an inventory, budgets, a usage ledger, automatic sync where providers allow it, and alerts before renewals and overruns.

Jul 11, 2026 7 min read
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