Pull competitors' ads into storage and have an AI agent explain the concepts

David BarnardYeah.

Eric Seufertpulling that information into an S3 bucket, whatever that information is, maybe it's ads, maybe it's other other stuff, other things that are visible to you, and then using some sort of agent to sort of interpret it. And that, that would have been a full-time job. Three years ago, that that's a full-time job. And and every, you know, every big-scaled app advertiser was doing that. They were looking at the Facebook Ads Library, they were putting that into a doc, into a Google Doc, and they were sending it around, and it's like, "Hey, here's what our competitors are doing this week. What what lessons can we take from that?"

Eric SeufertBut now you can do that in an automated way, using tools like LLMs to sort of interpret what you're seeing, interpret the sort of concepts from these ads, and tell me why you think they're working, right? And so that's a big thing that I think a lot of people don't appreciate. It's like creative synthesis, but like scaled way beyond what people were doing with like one person working on that maybe full-time or half-time.

David BarnardInteresting vector to be thinking about this on, and to your exact point, is that one of the challenges we still have, especially with generative AI crunching numbers, is hallucination. Like, I tried to just get ChatGPT, I used pro, I used thinking, I still haven't done deep research, but I just tried to get it to translate a list on a web page into like a formatted list that I wanted, and exclude some things with a specific criteria.