Key Takeaways
- Josh Payne raised $25 million for Co-frame to replace static user interfaces with continuously learning systems.
- Payne predicts autonomous personal agents will drive the majority of United States commerce traffic by 2029.
- Appending an agent route to a site serves machine-consumable interfaces via protocols like WebMCP, bypassing browser tool-use latency.
- Enterprise customers deploying these agent-ready interfaces have seen conversion lifts reach up to 400%.
The Web Was Built for Human Eyes
Every commercial website you visit was designed to satisfy a human retina. Teams spend months debating button colors, layout padding, and font weights to coax a visitor into clicking checkout. Payne argues that this entire design philosophy has hit an evolutionary wall.
“The internet is dead,” (play from 1:55:18) Payne says. “Typically it will take giant teams of people... of engineers, designers, marketers, etc. to build and optimize the user interfaces that we use every day. And that's a huge problem. It's costing us hundreds of billions of dollars in losses every year.” (play from 1:55:20)
Human attention is slow, expensive, and easily distracted. When software engineers try to automate buying with personal AI agents, they hit a wall. Traditional browser agents must read the DOM, parse pixels with visual language models, click coordinates, and wait for popups to clear. This introduces seconds of latency per step, burns inference tokens, and constantly fails whenever an engineering team pushes a frontend update.
The Slash Agent Route
Co-frame builds infrastructure that serves two distinct experiences depending on who lands on the page. Humans see a visual layout. Machines get a direct protocol.
By appending an agent route to a URL, the site surfaces machine-consumable interfaces under emerging standards like WebMCP. An agent bypasses the visual rendering layer entirely. It negotiates queries, verifies inventory, and executes purchases through structured data exchanges. Enterprise clients running this system have logged conversion increases of up to 400%, simply because purchasing journeys that once took three minutes of human scrolling finish in two API round trips.
This is not a static API rewrite. Behind the curtain, Co-frame runs a learning loop on incoming sessions. “We see a world where the internet itself can have its own sense of life,” (play from 1:55:40) Payne says, "where it can self-improve and become this kind of continuously learning system. We're training this transformer based on all this data that we're seeing coming in... incredibly rich user interactions... and I think that eventually all of our people are just going to be focused on making that model better."
The 2029 Inflection Point
Most founders still design their software for human buyers sitting at keyboards. Payne argues that roadmap will be obsolete before the decade ends.
“I think by 2029 the majority of traffic in the US for commerce is going to end up being agent personal agents,” (play from 2:00:52) Payne says. "That's my prediction."
If Payne is right, optimizing for search engine optimization and visual friction reduction matters less every quarter. The winning commerce sites will be the ones that machines can index, parse, and transact with in milliseconds. If an autonomous buyer takes ten seconds to navigate your visual checkout flow, it will abandon the cart for an endpoint that responds instantly.
What to Do With This
Run an audit on your checkout flow using an autonomous agent tool like browser-use. Time how many seconds and tokens it burns trying to click through your sign-up or purchasing funnel. Tomorrow, carve out a dedicated endpoint that exposes your product catalog and checkout action as structured data, removing the frontend rendering step entirely.