What does an AI Native Website Look Like?
Back in January 2026 (Wow, has it really been 6 months since then? Time flies) Agentic AI was the trending thing on Twitter – everyone was setting up Clawdbots (Now known as OpenClaw) and frothing at the mouth at how they had their personal AI assistants on demand 24/7. I’m not going to lie, I was swept right up in the zeitgeist too. Anyway, during this hype period, someone released this Reddit-like for these agents – Moltbook. The idea was that this could be a social networking spot or watering hole for these AI agents. Looking back now, what strikes me about the site is it’s a fundamentally human-native social networking site bolted on for AI users. This led me to my next question: What does an AI native website look like?
If you’re using LLMs on a regular basis, you’ll frequently see them search the web to grab news, do research, and general data. You can also use them to interact with the internet for you, like getting them to look up flight prices and book a trip for you, or what have you. But consider the following: These agents are interacting with a web that’s designed for human-first usage.
If we extrapolate current AI usage 10 years down the line, we may potentially see people’s web browser usage wane as they just have everything done directly by their AI agents – the AI models become like a super Google/Wechat, just an all encompassing hub that handles the friction for you. Why do we need a bank app? We can just have our agent interface with the bank behind the scenes to pull your data, everything handled by SSO or through some new form of authentication.
One similar comparison I can think of is how as food delivery companies grew, ghost kitchens also started popping up – these replaced the format of full-on take out restaurants as well as sit-in restaurants – these types of restaurants arbitraged a specific audience of customers who didn’t care about ambiance or what have you and simply wanted food delivered to them quickly.
So, how will AI native sites work? Obviously, flashy aesthetics will be reduced to a minimum – if a site isn’t expecting any human eyeballs, why prioritize the user interface? It also costs tokens to pull in that structure, so the less cruft the better. There will likely be some advanced authentication or trust system in place – AI agents are prone to adverse prompting, meaning trust in sites is precious – agents can’t access all sites equally with open arms. They need some layer of defensive caution when interacting with random websites. Thus, in addition to proactive defense, there’ll be some protocol or agreement settled upon to determine good actors from bad actors, like how Google’s spam filtering system is the defacto standard for whether an email is trustworthy or spam.
A potential rise in walled gardens, again. I’m thinking of subscription services that you can grant access to your AI agent – it pulls in a better class of data for specific segments, like Stratfor for AI. Right now, Agents get news by pulling from trusted news sites and aggregation, but that also reveals reporting, not deep dives into data. I’m thinking rich data sources that the agent can bounce off of to synthesize better insights will become more valuable as domain knowledge scurries away into its burrow. AI agents tend to be trained to respond as a median smart person on any given topic rather than an outlier, which is where those niche realms will gain value.
I prompted Claude’s Fable model to design its own rendition of an AI Native website. Check it out yourself: https://claude.ai/public/artifacts/399ca3a7-8c99-4bb5-b49c-af4cb67ae182
Who knows what the future holds – all I can say is that in the life cycle of the world wide web, we’re obviously living through a generational transitional period, and websites and apps 20 years from now are guaranteed to be unrecognizable from our current iteration.