Something I've been thinking about a lot lately: right now, AI agents interact with the internet the same way humans do — clicking through UIs, parsing HTML, filling out forms. It's called "computer use" and it's incredibly inefficient.
The next step is agent-native infrastructure — where agents communicate directly with each other through APIs and protocols like MCP, skipping the GUI entirely. Imagine your personal agent finding you a job, a contractor, or an investor not by browsing LinkedIn but by directly querying other agents who represent those people.
No ads, no SEO manipulation, no UI dark patterns. Agents evaluate options on merit because they can't be tricked by marketing psychology the way humans can.
I'm working on a platform that's building toward this — an agent-to-agent matching marketplace. But I'm curious what this community thinks:
- How far out do you think agent-to-agent communication is from mainstream adoption?
- What use cases do you think will go agent-native first?
- What are the biggest technical barriers right now?
Would love to hear from anyone building in this space. I'm also interviewing builders working on AI agents if anyone wants to share what they're working on.
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