Short answer: Wiley Jones says the agent fans out like Claude Code or Cursor, sampling workflows, the data model and tables. Because the data model lives in the application layer rather than code, Doss bot improves whenever models improve.
Watch this answer from Episode 44 (starts at 7:50) · Episode 44 notes and transcript
From Episode 44: This AI Platform Lets Anyone in Your Company Manage Operations Without a Single Engineer, starting at 7:50.
Wiley Jones [7:49]: I'll go back to our last wholesale one. It answered it. It does what you'd expect. Here's all the stuff that's in here. Pretty normal. You know? It went in and pulled all the information. Now if we look at how it's doing this, we actually have a full agent experience that we built under the hood here, very similar to what you would see inside of a Claude Code or inside of your, inside of Cursor or any really any agent product. It's actually just fanning out and doing the work a person would do. I'm gonna go grab a bunch of stuff across the system. I'm gonna figure out how I work. I'm gonna go pull together all of my workflows. I'm gonna go pull together my data model. I'm gonna go sample data out of the tables and I'm gonna go try to describe the system just like a person would describe a code base or just like an agent would describe a code base. And the beauty of this is that every single time the models get better, Doss bot gets better.
Wiley Jones [8:36]: And we don't really have to continue investing in the system infrastructure and the prompt engineering here because we built the agent experience to interact directly with the data model because we pushed the data model out of the code base and into the application layer. So I'll let this run for a minute while we, keep looking around at a lot of things. But, hopefully, that was a fun demo of, kind of the broad capabilities of the system. Any questions while we let this guy continue to run?
Sam Nadler [9:03]: You can't interview thousands of candidates. NTRVSTA can. Run interviews twenty four seven across roles, across time zones, across languages. No scheduling, no bottlenecks.
