Over the last few months, I've gone deep into AI agent development — building, experimenting, and shipping. And here's what I've realized:

We're at the start of a major shift. Not just in how software works, but who it's built for.

I even tweeted today that we're turning Automaze into an AI-first company. That's how strongly I feel about this.

After building through multiple tech waves, this moment feels familiar. What's happening with AI today? It reminds me of the early internet. Or mobile in the 2010s. And like those waves, the gap between early adopters and everyone else is going to be huge.

This kind of shift shows up once every 10–15 years. You don't want to miss it.

Now here's the key point: this isn't just about slapping GPT into a chatbot. It's about rethinking your entire interface. Not just for humans — but for machines.

AI agents are becoming real users. They visit websites, read UIs, click buttons, and take actions for people. And just like human users, if your product is confusing or clunky, they'll fail.

That's why AX (AI experience) matters.

It's the next generation of UX.

3 Types of AI Traffic

AI agents are starting to interact with software in new ways. Each one brings a different kind of “traffic” to your product. Just like we had to rethink UX for mobile, we now need to rethink it for non-human users.

Here are the three big types to know:

1. Browser-based Agents

These agents use your site just like a person would. They open a browser, read HTML, click buttons, and fill out forms.

OpenAI's Operator is a good example. So are Browserbase and Browser.use — which just raised $17M. Tools like these are powering apps like Manus. And usage is growing fast.

The problem? Most websites aren't built for bots.

Some aren't even built for phones.

And AI agents don't guess. They won't assume “Learn More” is your key CTA. They just follow what's in the DOM.

To make your product agent-friendly:

  • Simplify layouts
  • Remove unnecessary clicks
  • Surface important info right away
  • Cut anything that's just visual fluff

It's not about adding more UX polish. It's about making your product accessible to machines.

2. API-based agents via MCP

The second type of AI traffic comes through APIs — via something called the Model Context Protocol (MCP).

MCP was suggested by Anthropic as the standard for AI agents to have a structured way to talk to your product instead of trying to scrape screens.

Think of it like the difference between guessing what a webpage says... and getting the clean JSON directly.

Big names like Stripe and Figma are already moving fast on MCP. As more agents adopt it, it'll become a baseline expectation — especially for API-driven products.

This is less about design, more about backend. But the impact is the same: if your app isn't machine-readable, agents will skip it.

3. Your own company agent

The third type of AI traffic is the one you control — your own branded agent.

Instead of waiting for agents to figure out your product, companies are starting to build their own. These agents sit on top of the app, offering users a simple, chat-based way to get things done.

You control the tone, the workflows, the features.

It's smoother for users. And it keeps them inside your ecosystem.

This isn't about replacing MCP — it's a complement. Different use cases, different channels. You'll want both.

What to do right now?

If you're building software in 2025, here's the deal:

You're no longer designing just for people. You're designing for machines, too.

Here's what to do:

1. Clean up your frontend

AI agents want clean, readable interfaces. This means:

  • Clear HTML
  • Fewer layers of interaction
  • No visual clutter

Make your UI machine-friendly.

2. Introduce (or even prioritize) MCP

If your product already has APIs, turn them into MCP-compatible interfaces. This gives agents a formal, predictable way to access your features — and keeps you ready for what's coming.

3. Build your own agent

If you don't have a conversational front-end for your app yet. Now's the time to start. This is your chance to shape the experience before someone else does it for you.

Building for agents = new business opportunities

This isn't just a tech shift — it's a new market.

If you're a dev, indie hacker, or founder, here are some ways to tap in:

  • Sell AI workflows - Tools like n8n let you design agent-powered flows. You can sell them as templates, offer them as APIs, or host them as a service.
  • Create knowledge-based agents - Instead of selling static courses, create chat-based tools that use your expertise. Whether it's marketing, coding, or legal advice — people want AI that feels personalized.
  • Build and sell model APIs - Customize open-source models on platforms like Replit. Package and sell them — whether they write in a certain tone, generate images, or produce clean code.
  • Vibe code - Build micro-apps, games, or tools with AI at your side. The speed is wild — and yes, people are monetizing through ads, sharing, and sponsorships.
  • Offer services - Not everyone wants to DIY. Companies are actively looking for consultants and agencies who can build AI systems for them.

This isn't hype. It's already happening.

Rethinking access and UX

Back in the day, we had one rule: people = good, bots = bad.

That's how we built our security, analytics, and access systems.

But now? That line is blurring.

AI agents are technically bots — but they're a good kind of bots. They're trying to use your product, not abuse it.

If you treat them like old-school scrapers, you'll block them... and the users relying on them.

And here's the twist: by optimizing for agents, we might make things better for humans too.

Agents don't need ads, popups, or gimmicks.

They just need clear paths to action. And so do people.

If you give AI a fast, clutter-free version of your product... people are going to wonder why they don't get the same.

Designing for machines might help us rediscover great UX.

So, is this the end of human-only traffic?

AI agents are already using your product. Not in some future. Right now.

This is another structural wave — like mobile, like the internet.

And if you're building software today, you need to support:

  • Simple UIs for browser-based agents
  • MCP endpoints for protocol-based access
  • First-party agents to control the experience

Some users will be people. Some will be machines.

You need to serve both.

Ignore this shift, and you might fade into the background.

Embrace it, and you'll be way ahead.

The internet isn't just for humans anymore.

Time to build like it.