Now, for, for listeners who don't under- don't understand agentic, can you define that for us?

Yeah.

If you ask ChatGPT, "What is the weather today?" That's not something that is in its training set, so it can't necessarily, doesn't have that knowledge codified in its weights, and so what it needs to do is instead call a tool, let's call it the get weather tool, and specify the location, and that returns it.

The reason this is so important is because it scales out what an LLM can achieve by incorporating it with different tools and integrations.

And so that's why agenticness is quite useful in that it's this loop that just keeps running, where the agent decides, "I need to call this tool," and based on the result of that, I can call this tool or do a variety of different things.

And so it gives it kind of a...

It is the brain, but this gives it the actuators that can interact with the real world.

If you were a 30-something right now, smart, an engineer, and you wanted to build a great startup that played on a theme in the Middle East, in our part of the world, what would you build?