I also use Gemini notes for all my meetings and find them quite helpful. The key insight is: they don’t have to be particularly accurate. Their primary purpose is to remind me (or the other participants) of what was discussed, what considerations were brought up, and what the eventual decision was. If it inverts the conclusion and forgets a “not”, we’re going to catch that, because we were all in the meeting too. It’s their to jog our memory of what was said, because it’s much easier to recognize correct information than recall it, it’s not the authoritative source of truth on the meeting.

This gets to a common misconception when it comes to GenAI uses: it functions best as “augmented intelligence” rather than “artificial intelligence”. Meaning that it’s at its best when there’s still a human in the loop and the AI supplements the parts the person are bad at rather than replacing the person entirely. We see this with coding, where AI is very good at writing scaffolding, large-scale refactoring, picking decent libraries, reading API docs and generating code that calls it appropriately, etc but still needs a human to give it very specific directions for anything subtle, and someone to review carefully for bugs and security holes.