You’re right — ideally we’d have an AI watching and tagging everything, but since that’s not feasible (yet), I’ve been experimenting with a workaround.
Instead of trying to record everything, I just register the moments that feel most impactful or emotionally charged, and then use AI tools to help me unpack the surrounding details. That way, even if I miss a lot of low-signal noise, I can still train a kind of pattern recognition — looking for which contextual features around those moments tend to correlate with useful outcomes later.
It’s far from perfect, but it increases the odds of catching those subtle X→Y chains, even when X seemed insignificant at the time.
You’re right — ideally we’d have an AI watching and tagging everything, but since that’s not feasible (yet), I’ve been experimenting with a workaround.
Instead of trying to record everything, I just register the moments that feel most impactful or emotionally charged, and then use AI tools to help me unpack the surrounding details. That way, even if I miss a lot of low-signal noise, I can still train a kind of pattern recognition — looking for which contextual features around those moments tend to correlate with useful outcomes later.
It’s far from perfect, but it increases the odds of catching those subtle X→Y chains, even when X seemed insignificant at the time.