AI agents are the future, but building ones that actually do useful work has been harder than it sounds—until now. OpenAI’s new makes it dramatically easier to create AI agents that can search the web in real-time, analyze massive datasets, and even perform tasks directly on a computer.
For those unfamiliar with APIs (application programming interfaces), they let applications and data talk to each other. They enable automation, streamline workflows, and allow businesses to easily integrate digital capabilities.
The Responses API is designed to do more than just return AI-generated answers—it will act as a foundation for AI agents. Need an AI-powered assistant that can summarize financials? A legal research tool that can scan thousands of cases instantly? A customer service bot that pulls real-time product data instead of relying on outdated FAQs? This API makes it much faster to code.
To make implementation even easier, OpenAI also launched the , a toolkit that lets you orchestrate complex AI workflows across multiple agents. Instead of standalone chatbots, you can now build AI systems that work together to handle sophisticated tasks—automatically and at scale.
In short, OpenAI is giving developers the tools to make AI agents quickly and easily. Get ready for Agents that will transform industries—as well as an endless wave of Agents confidently misunderstanding your requests, overpromising results, and insisting they’re "just here to help."
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Shelly Palmer is the Professor of Advanced Media in Residence at Syracuse University’s S.I. Newhouse School of Public Communications and CEO of The Palmer Group, a consulting practice that helps Fortune 500 companies with technology, media and marketing. Named he covers tech and business for , is a regular commentator on CNN and writes a popular . He's a , and the creator of the popular, free online course, . Follow or visit .
