AI Dev API

Understand the boundary

An AI feature needs an application contract even when the generated answer is open-ended. Separate the user request, the model interaction, and the action your service is allowed to take. A summarizer, a classifier, and a coding assistant have different acceptance criteria. Define the useful output first, then choose the inference flow and the minimum context needed to produce it.

A practical starting project

Build a support-message triage prototype that returns a category, an explanation, and a review flag. Supply only the fields needed for classification. Keep a small set of difficult examples: mixed intent, missing information, unsupported language, and text that tries to override the application rules. Have a human review uncertain outputs before routing anything consequential.

Where integrations go wrong

A convincing response is not evidence that the operation was authorized or the answer was correct. Treat generated fields as untrusted input to the rest of the application. Keep API credentials on your own trusted service, validate output structure, and define an explicit abstention path rather than forcing every request into a confident answer.

Reference for implementation: OpenAI function calling documentation. Check the official reference for the specific version and environment you plan to use. The exercise above is an engineering starting point, not a live DevAPI.com service.