Most AI API onboarding advice starts with model choice: pick a cheap model, pick a fast model, pick...
Most AI API onboarding advice starts with model choice: pick a cheap model, pick a fast model, pick the newest model.
That is useful, but it skips the thing that actually proves your integration exists: can a brand-new project key make one boring request and leave an auditable log?
A practical first test looks like this:
Create a project-scoped API key.
Set only the base URL, key, and one model id.
The first payment in an AI API workflow should not be a big wallet top-up. It should be a controlled...
A new AI API key should not end with a copy button and a vague feeling that setup is done. The first...
A single successful AI API request is not enough for production. If your app uses GPT, Claude,...
A practical staging checklist for teams that want multi-model access, better cost control, and fewer...
Most teams do not need the perfect AI model on day one. They need a first model they can...
Most OpenAI-compatible API integration failures are configuration mismatches rather than SDK...
