In this episode of the AI Agents Podcast, Demetri Panici and Eitaken Tank discuss OpenAI’s latest tool, the Agent Builder, a powerful addition to their newly released Agent Kit.
They explore how developers can now visually build and deploy AI agents using a workflow-inspired canvas, similar to tools like Zapier or Make.
From web searches to API integrations using MCPS, the Agent Builder gives users powerful new capabilities—all customizable with model selection, tool access, output formatting, and more.
They also compare OpenAI’s offering with established platforms like Jotform AI Agents, examining pros and cons such as developer complexity, UI differences, and readiness for non-dev users.
Whether you're a developer building custom AI workflows, or just curious about how Agent Builder stacks up in the low/no-code space, this episode will help you understand the future potential of AI-driven automation platforms.
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⏰ TIMESTAMPS:
0:00 - Welcome and Episode Overview
0:51 - OpenAI’s Agent Builder Explained
2:25 - Building AI Workflows Visually
5:03 - Real Use Case: Customer Service Agents
10:02 - Jotform AI vs OpenAI Toolkits
14:00 - What Is Included in the Agent Kit
19:06 - Deep Dive into Connectors and MCPs
24:00 - Automating Client Services With Agents
29:00 - Pitfalls of Abandoning Current Tools
32:33 - Final Thoughts and Sign Off
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