Brief conversational transcript describing an AI tool (within a 'Trace Light' user interface) that methodically steps through levels, marks tasks complete, and generates its own checklist. Speakers highlight that the AI both tracks progress (ticking off levels and bonuses) and adapts by trying multiple approaches when an initial method doesn’t work.
In terms of what we've seen on the right hand side, within the Trace Light kind of user interface, you can see it stepping through bit by bit, kind of, okay, we're going to look through each level. It's thinking, it's getting to the right answers. It gives this quite nice summary at the end of all levels complete, one to seven bonus levels complete. It's also got this quite nice checklist that it's made itself. So it gave itself a list of eight tasks, the levels and the bonuses, and then it's ticked them off one by one. So you can see the kind of structure it's gone through, which things quite nice.
I love when the AI tools are organized and they build their own to do lists and then they tick off their own to do lists. One thing I noticed in the chat that I thought was interesting on a couple of questions said, hey, I applied one method, either it's not working or in one area it said, hey, I used arrays, but those may not work in all situations. So I took a different approach. I think it's interesting to see that it often at least mentions to us it used more than one approach.
Trust and Leadership Lessons for FP&A From 100+ Top Leaders with CFO Jon Laudie
