The cheapest response can be the most expensive outcome.
A lower model price only helps when people still get what they came for.
Read the articleThe Finups blog / 10 field notes
Practical notes on software efficiency, database performance, and AI workflows.
From the code.FinOps starts with a simple question: what does it cost to deliver something useful?
Lessons from our contributions and experiments on five open-source products.
A lower model price only helps when people still get what they came for.
Read the articleFind predictable failures before a pipeline spends time generating unusable work.
Read the articleSeparate requests can quietly repeat the largest part of your prompt.
Read the articleThe expensive path is often the one your happy-path benchmark never enters.
Read the articleA slow database query can make an AI product feel slow before generation even starts.
Read the articleIndexes save lookup work by adding storage and maintenance work elsewhere.
Read the articleEight campaign sizes do not always need eight independent image generations.
Read the articleA simple pan or zoom may need a renderer, while new action needs a generative model.
Read the articleWhen a provider is still working, starting again can duplicate both work and spend.
Read the articleSeparate the costs a change affects from the costs that stay the same.
Read the articleFrom an idea to your product
Start with a free 30-minute conversation with Fady. Get a one-page Cost Opportunity Snapshot: one cost hypothesis, a benchmark or relevant portfolio example, a potential savings range with assumptions, the risks, and a suggested next step. A preliminary assessment, not a complete infrastructure audit. No guaranteed savings or obligation to continue.