AI Agents Podcast Try Out ChatGPT’s New Agent Builder! | EP92
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Oct 27, 2025 Discover the potential of OpenAI’s new Agent Builder, allowing developers to create customized AI agents using a user-friendly visual canvas. They delve into real-world applications, like customer service bots, and compare its capabilities to other platforms like Jotform. Key features such as model selection and integration with tools like Slack and Stripe are explored. The hosts caution about relying solely on OpenAI, emphasizing the importance of maintaining specialized tools in your automation strategy while inviting listeners to experiment with the innovative features.
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Visual Canvas For Agent Workflows
- OpenAI's Agent Builder offers a visual canvas to compose multi-step agent workflows similar to Zapier or Make.
- Each agent can have its own prompt, model selection, tools, and structured output formats for chaining tasks.
Live Example: News And Customer Service Agents
- Aytekin built a single-step news agent that searched the web and summarized AI headlines from the last two days.
- He showed how agents act like workers that classify requests and route them to specialized sub-agents for tasks like returns or retention.
Tool Access, Code, And Structured Outputs
- Agents can use tools like web search, MCP connectors, file search, and even run code, and you control which tools each agent can access.
- Outputs can be structured (JSON) or rendered as widgets to pass data between agents or display custom UI.