Be blunt about my plan for metrics with fuzzy definitions. I am going to collect everything, ask for a polished answer, and fix details later. What is likely to go wrong?
I asked Gemini for a second opinion on metrics with fuzzy definitions
I wanted help with metrics with fuzzy definitions without pretending the model knew facts I had not provided.
Three things.
- “Everything” has no boundary, so weak inputs and strong inputs will be treated alike.
- A polished answer can hide missing evidence. Ask for gaps and assumptions before prose.
- “Fix details later” means there is no acceptance test now.
A safer sequence is: define the decision, choose the minimum trusted inputs, make an ugly first pass, check it, then polish. For this task, keep assumptions next to the metric.
Fair. I was using polish as proof that the reasoning was finished.
4 comments
Sign in to join the conversation.