Thanks! I think this process is fairly generalizable and could work for many people. Most people probably have a smaller pile of notes that takes less time to preprocess. I think the year range rather than the number of notes makes the most difference for the quality of AI output. I added the prompts I used as an appendix to the post.
For the diagrams, the way I drew them on paper was to put the problems on a circle and then draw edges between things that contribute to each other. The resulting diagram often (but not always) ended up having a source and/or a sink node. I agree that the feedback loops are the most interesting part of this, as they suggest multiple points of intervention that can have outsized effects (because they weaken the whole loop), while the sources (like “should” mindset) were often things that were hard to budge directly.
Thanks! I think this process is fairly generalizable and could work for many people. Most people probably have a smaller pile of notes that takes less time to preprocess. I think the year range rather than the number of notes makes the most difference for the quality of AI output. I added the prompts I used as an appendix to the post.
For the diagrams, the way I drew them on paper was to put the problems on a circle and then draw edges between things that contribute to each other. The resulting diagram often (but not always) ended up having a source and/or a sink node. I agree that the feedback loops are the most interesting part of this, as they suggest multiple points of intervention that can have outsized effects (because they weaken the whole loop), while the sources (like “should” mindset) were often things that were hard to budge directly.