This is a beautiful piece of work. The actual data or outputs seem to be more or less...trash? Maybe too strong a word. But perhaps you are outsourcing too much critical thought to a statistical model. We are all guilty of it. But some of these are egregious, obviously referential LLM dog. The world has more going on than whatever these models seem to believe.
Edit/update: if you are looking for the phantom thread between texts, believe me that an LLM cannot achieve it. I have interrogated the most advanced models for hours, and they cannot do the task to any sort of satisfactory end that a smoked-out half-asleep college freshman could. The models don't have sufficient capacity...yet.
When I saw that the trail goes through just one word like "Us/Them", "fictions" I thought it might be more useful if the trail went through concepts.
Just yesterday I was speaking with the COO of a $200M/yr revenue company in the supply chain space. He'd learned Claude Code and built a couple apps to solve internal problems but reached out to talk to us. I asked him "you've been able to build some really impressive tools, clearly you can solve your own problems, why are you talking to me?" And he said "I have a business to run. I shouldn't be coding. I need somebody who understands my business & can solve my problems without taking a lot of my time."
Is there a cheaper way for him to solve his problems? Absolutely. But he wants to put the key in the ignition and know the car will turn on every time without thinking about it. There is an endless list of problems to solve; I don't think software businesses are going anywhere anytime soon.
As an indie hacker I often struggle to find new ideas. Are there any practical strategies for discovering these real pain points?