A follow-up on my /grill-me post from last week.

After using it for about 7 days, a few observations.

It asks a lot more questions than /brainstorming. Like, significantly more. I had one session with 60 questions, and I was answering them for 1.5 hours. The original task was pretty small initially.

But the result? Complete set of requirements, implementation came out bug-free, following the existing project architecture. So it was time-consuming but very effective.

After a few more tasks like this I changed the skill to "self-grill". Now the AI asks all those questions itself and gives me a decision list in seconds. I just scan the decisions, adjust what looks wrong, and proceed.

Of course the effectiveness is lower compared to going through the full /grill-me flow properly. But for most tasks it is a much better trade-off from a time-result balance perspective.

If I had to frame it: /grill-me is worth it when scope is unclear and getting it wrong is expensive. Self-grill is for everything else.

Have you tried building requirements this way before coding? I am curious how others are managing the thoroughness-vs-speed trade-off in their AI workflows.

#ai