What Is an AI API?
An AI API lets you send text (and other data) to an AI model running on someone else's servers and get intelligent responses back. You do not need to train, host, or manage the model. You pay per use and get access to the same models powering products like ChatGPT and Claude.
Getting Started
Choose a provider (Anthropic, OpenAI, Google, etc.). Sign up, get an API key, and install their SDK. Most providers have Python and JavaScript libraries that abstract away the HTTP details.
Your first API call is typically under 10 lines of code: create a client, send a message, print the response. Every provider has quickstart guides that get you running in minutes.
Best Practices
Keep API keys secret: Never commit them to version control. Use environment variables. Handle errors gracefully: API calls can fail due to rate limits, network issues, or content filters.
Stream responses: For user-facing applications, stream the response token by token for better perceived performance. Cache when possible: If you are asking the same question repeatedly, cache the response to reduce costs.
Cost Management
AI APIs charge per token (roughly per word). Monitor your usage, set budget alerts, and consider: using cheaper models for simple tasks, reducing prompt length, caching responses, and batching requests.
For more on building applications, see our guide on building your first AI app.