Are AI Agents the future of hiring?

Your Majesty joins the Delivered— Infinum’s podcast on what makes great digital products tick. Our own Georgios Athanassiadis is taking over as hosts and will have insightful conversations with business leaders, innovators, creators, makers and other curious minds to figure out what great works really means in the digital product world.

In his first episode, Georgios sits down with Ivan Burazin, CEO and co-founder of Daytona, to unpack what AI agents are, what they’re good at, and where the hype still outweighs the reality.

It’s a fast-moving, honest conversation with one of the most credible voices in the AI infrastructure space—and it starts with a simple question:

What if the future of hiring isn’t people, but agents?

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What is an AI Agent, really?

Ivan breaks it down like this: an AI agent is a software layer that connects a user, a large language model (like GPT or Claude), and a set of tools it can act on. Unlike traditional apps, agents don’t just process information, they perform.

Think: ChatGPT, but not stuck inside a chatbox. Instead, it can book a dinner, fill a form, clean your database, or refactor code—autonomously.

“An agent is like a junior hire that never sleeps, works in parallel, and needs a sandbox so it doesn’t burn the house down,” says Ivan.

What they’re good at (and where they break)

AI agents shine in repetitive, narrow, well-defined tasks. Updating 10,000 rows in a database? Replacing every Twilio API call in your codebase? Great use cases.

But if your task requires nuance, ambiguity, or long-term planning—agents stumble. Today’s agents aren’t project managers. They’re not creative thinkers. And they’re not reliable for high-stakes decisions without human supervision.

“The more structured the task, the better the agent performs. The more ambiguity you throw in, the faster it falls apart.”

What’s actually exciting

What excites Ivan most is agent-native software—products that could only exist because agents do. The way DoorDash couldn’t exist before smartphones, new tools are emerging that let agents work independently behind the scenes.

One early example: a Notion-style tool where users can ask the app to run analysis on their notes. Behind the curtain? Daytona spins up a secure environment, runs the task, and shuts it down. Seamless. Invisible. Powerful.

“The next big software companies will be agent-native. They don’t exist yet—but they’re coming.”

Who should be building agents?

“Everyone in business, or at least they should think about how they might do it.”

If you're a product leader, CTO, or innovation director, your next build might not be a mobile app or web dashboard—it might be an agent that does the work for you.

Ivan put it plainly: “As builders, we can’t afford to just be observers. If you’re only thinking about how to use agents, not how to create them, you might be missing the bigger opportunity.”

And if you're in a legacy industry (we discussed tire shops and ERP vendors), agents won’t replace your people tomorrow—but they will come for the tasks no one wants to do. The real question is how fast you want to reap the efficiency gains.

TL;DR – What you’ll learn in this episode

• The real difference between LLMs, agents, and tools
• Where agents deliver value—and where they absolutely don’t
• How to think about agent-native software vs. bolt-on AI features
• Why new agent ecosystems are emerging—and who’s building them
• How to start experimenting without falling for the hype
  
  

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  Curious about AI agents for your business?

  Your Majesty and Infinum help companies design, build, and launch next-gen digital experiences—including agent-based systems.

Let’s talk.