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AI costs. Plain English. No fluff.
Read it before the CFO walks over with questions. Practical pieces — with tables, numbers and concrete recommendations to ship in 30/60/90 days.
9 articles
AI cost audit: how to find where your company is burning budget.
Step by step: how to split the AI bill into cost per model, per project and per user — and which three numbers reveal the real problem in 30 minutes.
Using GPT-4o for summaries is burning cash. Six model-routing rules.
40–85% inference cost reduction without quality loss. Concrete use-case → model pairs we ship first in every implementation.
Power users eat your margin. How to compute AI cost per paying customer.
Why 4% of users generate 38% of an AI feature's cost — and exactly what to change in pricing so it covers variable cost.
Prompt cache in Anthropic and OpenAI: up to 90% cheaper — if you write prompts like an engineer.
What actually gets cached, how to measure cache hit rate, and why „context bloat” costs companies tens of thousands monthly.
Shadow AI: ten tools, four directors, nobody knows who is paying.
How to inventory AI subscriptions, set up an approval flow and appoint an AI cost owner — without becoming a control-freak gatekeeper.
True AI feature TCO: why the API bill is only 60% of the cost.
The other 40% is observability, infrastructure, evaluations, human QA and prompt maintenance. A full map.
Polish AI market in 2026: what software houses counted, what nobody is counting.
A short analysis of pricing at Polish AI agencies, customer expectations and where service ends and creative accounting begins.
Cheap RAG: how to build document search for PLN 200/mo instead of PLN 4,000.
Embedding model selection, chunking strategy, hybrid search vs pure vector — what really drives production RAG cost.
Agent loops: how one badly configured workflow generated PLN 47k in cost over a weekend.
Anatomy of a real cost incident: what went wrong, how we caught it, what limits prevent the repeat.
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