Crixus Blog – “Everyone assumes AI meeting tools replace note-taking. I record every call with Quill as my notetaker. It captures who said what, generates summaries, tags topics automatically. My meetings are fully indexed and searchable. And I take more handwritten notes than before I had any of this. Here is the thing people get wrong about AI in meetings. The transcript captures what was said. It does not capture what mattered. A 60-minute strategy call produces pages of text. The AI summary tells you the topics discussed and the agreements reached. What it misses is the moment someone hesitated before agreeing to a timeline. The throwaway comment that revealed a team’s actual priority. The thing that was not said when it should have been. I started noticing this about three months into using AI transcription. My notes from meetings were getting worse, not better. I was leaning on the recording. Why write anything down when the machine catches everything? But when I reviewed the AI summaries the next day, they felt hollow. Accurate, but hollow. The decisions were listed. The context behind them was gone. So I went back to writing things down during calls. Not everything. Not a transcript. Just the moments that made me sit up. A disagreement that got resolved too quickly. A priority that contradicts what someone said last week. A resource constraint that nobody acknowledged out loud but everyone is working around. The AI gets the what. My notes capture the why and the weird…”