Date: 10/06/2025
Okay, so this video about OpenAI’s Agent Builder is seriously cool and timely. It walks you through creating agentic workflows visually, using a drag-and-drop interface. You can connect different tools and then publish these workflows using ChatKit and the Agents SDK. Think of it as a no-code/low-code way to orchestrate AI agents, taking them from theoretical concept to actual, functioning components in your applications.
For those of us diving into AI coding and LLM-based workflows, this is a game-changer. We’re moving beyond just writing code and more into designing AI-driven processes. Being able to visually map out and connect tools, without getting bogged down in complex code at the initial stage, allows you to experiment and prototype much faster. You could build an agent to handle customer support queries, automate content generation, or even manage parts of your CI/CD pipeline—all without needing to be a hardcore AI specialist.
What’s really exciting is the practical application. Imagine visually designing a workflow where a customer’s request triggers a search using a specific API, summarizes the findings using an LLM, and then sends a personalized response—all handled by an agent you built with drag-and-drop. This is where development is heading: less manual coding of every step and more orchestration of AI-powered components. I’m personally eager to try this out because it aligns perfectly with building more intelligent, automated systems while minimizing the boilerplate. Plus, visual tools can be amazing for quickly iterating and demonstrating complex workflows to non-technical stakeholders.