The horizontal AI players roughly break into three buckets: assist, chat, and do. If you use ChatGPT a dozen times in a day, you'd be a pretty heavy user. There's another bucket I call 'Do' - those are all the people building agents and AI that goes off and does things in a headless way.
“in my mind, it's sort of the the horizontal AI players roughly break into three buckets.”
in my mind, it's sort of the the horizontal AI players roughly break into three buckets. So we call assist, chat, and do. So the group that maybe I'll start with chat. The most iconic chat company out there is, of course, ChatGPT. That's the one that that, one of the fastest growing companies in history. If you use ChatGPT a dozen times in a day, you'd be a pretty heavy user. There's another bucket I call Doo. Those are all the people building agents and and AI that goes off and does things in a headless way. You know, I think the anthropic team mentioned that something like 39% of their query load now is for long running tasks, much of that to cloud code.
Why this clip
Clear categorization framework for understanding the AI landscape with specific, memorable labels. The ChatGPT usage benchmark provides concrete context, and the 'Do' category introduces a less familiar but important concept that helps people understand where different AI tools fit.
What they said next
The actual thing that Grammarly has built is a technical architecture for bringing AI right to where people work. We didn't call it AI when that happened, but Grammarly built the first agent, the original agent.
4:00 - 34s · Bold/Contrarian
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