How to Choose an AI API for Your Application
Compare AI APIs using your actual workload, quality criteria, response requirements, and operating costs, then choose a service your team can support.
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Evaluation
Evaluation compares actual behavior with a defined standard. For AI workflows, use representative examples and explicit quality criteria; for API selection, keep task fit and operational constraints visible beside the demonstration.
Use the field notes below to connect evaluation with the decisions in your own integration. Begin with a concrete task and the questions you need to answer; note the assumptions that still require confirmation in the provider’s documentation. Each guide provides a distinct explanation, practical examples, and an official source for further reading.
Field notes about Evaluation
Prompt Design for APIs: A Practical Evaluation Playbook
Design reusable API prompts with clear tasks, relevant context, useful examples, and repeatable evaluations that reveal failures before release.
Read the field noteKeep the wider workflow in view: explore the API directory, compare your options with the evaluation guide, or follow the developer workflow to move from a documented capability to a useful first request.