AI Tools for Building and Deploying AI Features
Building AI into a product — not just using AI tools — requires a different set of decisions: which model to use, how to manage latency and cost, how to handle failures, and how to evaluate output quality at scale. The tools in this space are maturing fast.
How teams typically do this
Best tools to build ai-powered products
The leading API for building AI applications that require strong reasoning, careful instruction following, and safe outputs. Best in class for tasks that need nuance, long context, and reliability.
The most widely integrated AI API with the largest ecosystem of tools, libraries, and documentation. GPT-4o's speed and multimodal capabilities make it the default choice for most product teams.
The most popular framework for building LLM-powered applications. Handles retrieval-augmented generation, chaining, agents, and memory so you don't have to build everything from scratch.
Browse all tools for this workflow: API & Backend , Foundation Models