Intro · 1:23
Building an agent army from one prompt
Two methods and a live demo.
- Generate many agents from one prompt.
- Method: Claude project or direct chat.
- Live proof of concept.
| Method | Note |
|---|---|
| Claude project | Knowledge files |
| Direct chat | Quick |
Do this in your own tools, step by step. Ticks are saved on this device.
Methods?
Project or direct chat.
Goal?
Agents from one prompt.
0:00 You'll see firsthand how easy it is to spin up a master orchestrating agent, create specialized subworkflows that report to that agent, and lastly, adding tools dynamically to those sub agents without you writing a line of code yourself. And here's the craziest part. This entire process will only take minutes from start to finish. I'm going to walk you through step by step on the fastest way to build sophisticated agent systems, even if you're completely new to automation.
0:24 Let's dive in. All right, so we're going to tackle two different ways to assemble your agent army. Both involve only one prompt each, but one of them is going to use a cloud project, and one of them we're going to just send a straight chat message. And before I show you how this prompt works and how this entire system works, let's just prove that it does work. Now if you send this entire prompt we have here along with a series of files these are all JSON files with one master agent right here called retrofure master assistant then you have all these subworkflows that report to this orchestrating agent.
1:11 So pretty much we're using Cloud4 opus and the power of extended thinking and web search to be able to look at these files, get a handle for how to create the AI agent module, how they connect together, what kind of tools can be attached, and if we need to supplement this information with additional information not in Claude's training, we
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