Even I've been trying to figure this issue out, and for me, what works is that whenever I correct something, I kind of turn that into a reinforcement learning step or more of an iterative correction step. I ask it to literally quote what I changed to what, and whenever I edit something myself, I just ask it to go and find out what things were changed, why I changed it, and figure out what I asked. Actually, in this particular thing, these changes are to be incorporated from the next time it generates something.
Over here, it's more like a reinforcement learning loop, and it just keeps getting better and better. At one point, I really do not have to instruct it anymore. It's pretty good at writing it all by itself now.
Even I've been trying to figure this issue out, and for me, what works is that whenever I correct something, I kind of turn that into a reinforcement learning step or more of an iterative correction step. I ask it to literally quote what I changed to what, and whenever I edit something myself, I just ask it to go and find out what things were changed, why I changed it, and figure out what I asked. Actually, in this particular thing, these changes are to be incorporated from the next time it generates something.
Over here, it's more like a reinforcement learning loop, and it just keeps getting better and better. At one point, I really do not have to instruct it anymore. It's pretty good at writing it all by itself now.
Sorry, forgot the link to the github with the (admittedly minimal) work I did. Here it is in case anyone is interested- https://github.com/kartless/personal-ai-discovery