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ChatGPT integration that fits into what you've already built.

Adding OpenAI's API to an existing product is more than a chat widget — it's prompt design, context management, cost control, and deciding what happens when the model gets something wrong. We integrate ChatGPT/OpenAI into your existing web app, mobile app, or internal tools, with the plumbing (rate limits, fallbacks, logging) that separates a working feature from a fragile demo.

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OpenAI APIFunction callingStreaming responsesCost monitoringPrompt engineering

Why hire us for ChatGPT integration

  • Scoped for realistic cost-per-request before we start building
  • Integrated into your existing product, not a bolt-on chat window
  • Error handling and fallbacks for when the model gets it wrong
  • Full source code ownership on final payment

What we build

In-product AI assistants

Contextual help, content generation, or Q&A features embedded directly into your app's UI.

Function calling & tool use

ChatGPT that can actually take action in your system — look up data, create records, trigger workflows.

Document & data Q&A

Answering questions grounded in your own documents or database via retrieval-augmented generation.

Content & copy generation tools

Internal or customer-facing tools that generate drafts your team reviews and edits, not auto-publishes.

How engagement works

We start with a small scoped prototype to validate output quality and real cost-per-use before committing to a full build — this avoids discovering the economics don't work after the fact. From there, delivery is milestone-based through to a production-hardened feature with monitoring and cost alerts.

ChatGPT integration FAQ

How much will the OpenAI API actually cost us monthly?
We estimate this during scoping based on expected usage and model choice, and build in monitoring so you see real costs early rather than at the end of the month.
What happens if ChatGPT gives a wrong or inappropriate answer?
We design fallback behavior, content filtering, and human-review points appropriate to your use case — this is part of the scoping conversation, not an afterthought.
Can it access our own data, not just general knowledge?
Yes, via retrieval-augmented generation (RAG) — the model answers grounded in your documents or database, not just its training data.
Do we need our own OpenAI account?
Yes, API usage bills to your account directly — we integrate against it, we don't sit as a billing middleman.

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