Thanks! It's really tricky to explain because I'm doing something That's a pretty big departure and language can get so tricky when trying to put a label on som

Thanks! It's really tricky to explain because I'm doing something That's a pretty big departure and language can get so tricky when trying to put a label on something that doesn't really exist or at least is being wrapped up differently than people are used to. I need to update our demo video, but the AI part is being able to structure our event and nodes in a way that we can pass those to the large language model alongside the outputs so that we're not expecting the large language model to do financial calculations -just interpret the inputs and the outputs. A lot of it is turning all that information back into something that people can use. PNL is so standard that it's a good format for most executives. And yes, spent a lot of time bouncing back-and-forth between ChatGPT and custom editing the article. The big goal is taking all of this one step further and using generative AI to actually build the financial models and interact with them. Large language models have a good understanding of core business concepts, and being able to "train" a model to understand, our events means we can map common business concepts to our nodes and build the models for people conversationally. We've got this working under the hood but still have a lot of refining to do before it can be user facing.