@ataiiam: Self-learning is the new moat There are two places to harvest learnings: 1/ browser activity (what users do) 2/ agent t…
Summary
The tweet discusses the concept of self-learning as a competitive moat, highlighting browser activity and agent traces as key data sources, and introduces AG-UI, an open standard for capturing user-agent interactions to improve products.
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Self-learning is the new moat
There are two places to harvest learnings: 1/ browser activity (what users do) 2/ agent traces (what agents actually did)
You should be capturing both signals
But how? Or better yet, where?
There’s one place in every product today that sees both simultaneously: the surface where the person and the agent work side by side.
Aka, the interface.
The how is via AG-UI: an open standard that streams every event between your app, your users, and the agent.
If done correctly, your product can improve simply by being used.
Your product might have hundreds, thousands, or millions of agent-user interactions every day.
That is a goldmine of data.
Today, however, most of that value goes uncaptured.
I wrote about how you can capture it and OWN the learnings.
Check out the article below ↓
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