Why Building AI Agents Felt Surprisingly Familiar

⏱️ Read time: ~3 min

A few weeks ago, I did something I'd been putting off for a while. I spent 4 days heads-down, learning how to design and build multi-agentic AI solutions. The kind where multiple AI agents work together, hand off tasks to each other, and collaborate to get things done.

I expected it to feel very technical, very foreign for someone without a tech background. It didn't. It felt like just another a reorg project.

About halfway through day one, the following happened: We were deep in a discussion about how the agents should work together. Who handles what. How decisions get made. When one agent escalates to another. How to avoid overlap and confusion.

And I thought: I've had this exact conversation before.

Except back then, we were talking about people. Building a multi-agent AI system is, at its core, a team design challenge. You need clear roles. Clean handoffs. Accountability. Decision rights. Someone (or something) needs to be in charge, and everyone else needs to know when to act and when to defer. 

These are the same principles behind every team restructure, every scaling challenge, every transformation project I've ever worked on. The difference? Instead of aligning people, you're orchestrating AI agents. And you're making sure they work in sync with the humans around them.

Think about it this way. In a well-run team, no one needs to know everything. They just need to know their role, their boundaries, and who to hand off to. Agents work the same way. The magic isn't in any single agent. It's in how they're designed to work together. The principles are pretty much exactly the same.

And here's the other thing that surprised me. Agents are no longer a distant concept. They're not a "maybe in a few years" technology. LLMs have improved dramatically, even in just the last few months. They're more reliable, more capable, and much better at working together. And the infrastructure to build and deploy agents is more accessible than ever. If you've been curious but waiting for the right moment, that moment is probably closer than you think. 

Key Takeaway

You don't need to become a developer to understand AI agents. If you've ever designed a team, managed a handoff, or thought carefully about who does what and why, you already have the mental model. The skill gap is smaller than it looks. And the technology is catching up fast.

Action Step: Think about a workflow in your business that involves multiple steps or handoffs. That's your starting point. Hit reply and tell me what it is. I'd love to help you think it through.

Have fun exploring this one 🤩

Elena

"AI is one of the most powerful tools of our time.

It's not here to replace you. It's here to free you, so you can focus on high-impact work, serve your clients better, and finally get your time back."