Meeting with the Nxtlinq guys. They wanted a way to get and show the error messages in the chat bot. If the page is able to navigate to the correct page, all is well. If not, meaning it throws an error, they want a way to get at those error messages. We also talked about helping to make better error messages to show what to do to fix things (make things more intuitive). They gave us an update and have optimized the memory functionality of the AI agent. There are now a number of users that can affect the global context (actual AI training) within the system.

After the meeting, Ted, Thomas, Josh, and I were talking about 3 buckets for our customers - low hanging fruit (those who are using it), those who could use it but aren't, and those who don't want to use AI. Ted was really pushing for us to try to get the people actively using it, even while we are training it. His focus is the commercialization process. We talking about the need for data and feeding the AI agent. After that, we were looking at AI data and logs, encouraging people to keep going and ask for more (what else would you want from the AI agent - figure out what the customers are wanting). Somewhat of an outreach plan to help commercialize things to our customers.