Experienced AI users don't over-explain. They give ~40% of the context, then ask: "Something like X—you get it?" If the model nails it, keep going. If not, correct it and that correction becomes part of the context window explicitly.
Checkpoint-based prompting = faster iteration + clearer negative signals ("not △, definitely not that"). Modern LLMs are context-efficient enough that you don't need to spell out every detail upfront. Less verbose input → tighter feedback loop.
Checkpoint-based prompting = faster iteration + clearer negative signals ("not △, definitely not that"). Modern LLMs are context-efficient enough that you don't need to spell out every detail upfront. Less verbose input → tighter feedback loop.