Building features on the GPT API
OpenAI's models are a strong default for a wide range of tasks — drafting, summarizing, extracting structured data, classification, and chat. Getting a first call working takes minutes; making it reliable, affordable, and safe for real users is the actual project.
We integrate GPT as a service inside your product, feed it the right context from your data, and shape its output into a format your app can use — including structured JSON when you need machine-readable results rather than prose.
- Task fit: drafting, summarizing, extraction, classification, chat, structured output
- Structured JSON output so responses plug straight into your app
- Context injection from your own data for relevant, grounded answers
- Streaming responses for a responsive, fast-feeling experience
- Function/tool calling so the model can trigger actions in your system
The production concerns we handle
The difference between a demo and a dependable feature is how it behaves under real conditions. We build in cost controls so usage doesn't surprise you, retry and fallback logic for rate limits and outages, and validation so bad or unsafe outputs get caught before they reach a user.
We also keep you flexible. The model is behind a clean interface, so you can adjust prompts, switch model versions, or add a different provider later without rewriting your product.
- Cost control: prompt sizing, caching, and usage caps to keep bills predictable
- Rate-limit and outage handling with retries and graceful fallbacks
- Input and output validation, plus content safety checks
- Secure key handling so your API keys never sit in client code
- Logging and monitoring for usage, errors, and cost — without storing sensitive data
- A clean abstraction so you can swap models or providers later
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Frequently asked questions
How do we keep OpenAI costs from spiraling?
By sizing prompts, caching repeated requests, choosing the right model for each task, and setting hard usage limits. We estimate your per-request cost up front so you can see what monthly usage looks like at your volume before you commit.
Is our data used to train OpenAI's models?
By default, data sent through OpenAI's API is not used to train their models, and business tiers add further controls — but the specifics matter for your case. We'll set up the integration according to your privacy requirements and be clear about where data goes.
Can we switch away from GPT later?
Yes, if we build it right. We put the model behind a clean interface so you can change model versions or move to another provider like Claude without rewriting your product.