OpenAI API development — GPT, embeddings, and integrations that hold up in production.
GPT models, embeddings, and function calling can power search, support, content generation, and automation — if the integration is built right. We handle the API work, the prompt design, and the reliability engineering most demos skip entirely.
OpenAI API, applied.
GPT integration
Chat, content generation, and reasoning tasks built into your actual product.
Embeddings & semantic search
Search that understands meaning, not just keyword matches.
Function calling & tool use
GPT models that can actually query your systems and take action.
Fine-tuning guidance
Honest advice on when fine-tuning is worth it — and when it isn't.
Streaming responses
Fast, real-time output instead of a long wait before anything appears.
Rate limits & cost control
Built to handle real traffic without surprise bills or throttled requests.
Tools we pair it with
What to settle before building on the OpenAI API.
Three questions decide whether an OpenAI integration works in production. First, what data leaves your systems — decide deliberately what may be sent, strip what need not be, and check that against any obligations you have to clients. Second, what happens when the model is wrong, because it sometimes will be: a draft a person reviews is a safe design, an action taken automatically on the model’s word is not. Third, cost at real volume, since per-token pricing that looks trivial in testing behaves differently across thousands of daily requests, and caching or a smaller model often cuts the bill substantially. We also build in a fallback for when the API is slow or unavailable, so a third-party outage degrades one feature instead of taking your product down.