I find it interesting how working with AI in institutional settings requires discipline, especially since the system doesn’t retain memory and can lose context over time. It makes me think that practices like structured summaries and local storage are essential, not optional, for serious work. The idea of treating AI as a “stateless tool” really changes how I would approach long tasks.
The session handoff prompt alone is worth the whole article. Been losing hours of context to long sessions thinking more conversation = better results. Turns out the model was quietly drowning the whole time.
Great explanation of stateless AI workflows and the markdown handoff habit is a powerful takeaway.
I find it interesting how working with AI in institutional settings requires discipline, especially since the system doesn’t retain memory and can lose context over time. It makes me think that practices like structured summaries and local storage are essential, not optional, for serious work. The idea of treating AI as a “stateless tool” really changes how I would approach long tasks.
The session handoff prompt alone is worth the whole article. Been losing hours of context to long sessions thinking more conversation = better results. Turns out the model was quietly drowning the whole time.