Web performance has traditionally always been about human user experience. In recent time, that has evolved to include AI agents as well. AI agents...
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I like the broader message that good engineering for humans usually benefits AI agents as well. Semantic HTML, accessibility, stable layouts, and structured metadata improve robustness regardless of who—or what—is interacting with the page. One nuance I’d add is that the agent ecosystem is still very heterogeneous. Some agents rely heavily on the accessibility tree, others inspect the DOM, execute JavaScript, use visual reasoning, or interact through APIs. Likewise, llms.txt and WebMCP are promising directions, but they are still emerging rather than universal standards. For me, the safest strategy today is: optimize for web standards first (accessibility, semantics, performance, structured data), then add agent-specific capabilities where there is clear demand. That way the site remains resilient even as agent ecosystems evolve.
Makes sense - just curious, what kind of web interfaces do you think will be in demand in the future?
That’s a fascinating question. I don’t think we’ll end up with a single dominant interface. Instead, we’ll probably have multiple interaction layers over the same application.
Humans will still prefer rich visual UIs for exploration and complex tasks. AI agents, on the other hand, will increasingly rely on structured interfaces—well-defined APIs, MCP-like protocols, semantic metadata, and machine-readable workflows—because they’re more reliable than interpreting pixels or arbitrary HTML.
My guess is that successful applications will expose both: a great human experience and a first-class machine interface. Much like responsive design became standard for different screen sizes, “agent-ready” interfaces may become another capability rather than a separate product.
I like the point about it being a add on than a separate product. I have revised the post with my updated stance now. Thanks for weighing in!
Thanks for being open to the discussion. I think that small shift in framing makes the article even stronger. Technologies will evolve, but building on web standards first keeps applications useful for both humans and AI agents regardless of which protocols ultimately win.
Good overview. One thing I'd add is the knowledge layer. Even if a website is technically agent-ready with good accessibility, metadata, and layout stability, an AI agent still needs accurate business context to answer questions or complete tasks reliably. That's where a well-structured knowledge base and clear tool interfaces become just as important. We've seen this while building AI agents at YourGPT, where clean documentation and well-defined actions often make a bigger difference than the choice of model.
Agreed! I think there are some docs-first organizations that really benefit from this. More and more, I'm trying to mimic that approach in my personal projects as well.
Thank you. Now I know how to make things difficult
Well, I agree it seems a bit complex but these are all experimental and new APIs. Plus, as I said, who knows the future of the web? We'll just have to see how it shakes out
yup if you check resend they even made all important pages like pricing etc in .md so agents can read well
Good to hear, didn't know that. It makes more sense for digital products, tools and libraries I think.