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Keys stay server-side
The API key never reaches the browser. Every request is proxied through your backend.
Practical AI inside your product
AI is only useful when it does a job your users care about. I build assistants, classifiers and automation that reduce real work — with the cost per request worked out before we start, so there are no surprise invoices.
The API key never reaches the browser. Every request is proxied through your backend.
You see the price per request and per month before a line of code is written.
The model is scoped to its job and declines what falls outside it, rather than guessing.
Common answers are cached and context is capped, which typically cuts spend by half.
Work out which task AI should do, and whether it is worth automating
Prototype against your real data, not a demo dataset
Build the proxy, guard rails, caching and rate limits
Ship with a usage dashboard so you can watch the cost
Whichever fits the job and budget. For most tasks a smaller, cheaper model performs as well once the prompt is right.
Depends on volume. A support assistant handling 5,000 messages a month typically runs $20–60 in API costs.
No. Business API tiers exclude your data from training, and I configure that explicitly.
Tell me what you are trying to build and get a fixed quote.