9 Things People Get Wrong With My /grill-* skills — AI Summary

Summary

AI 'grilling' isn't about letting an agent ask you endless questions; it's a strategic dialogue that requires your active leadership. Success depends on managing scope, knowing when to pivot to prototyping for high-fidelity tasks, and preserving your valuable context instead of discarding it.

Key Topics

• Grilling: It's the process of using an agent to expose gaps in your technical requirements. It matters because it forces you to think deeply before you code, but it requires active steering to prevent the agent from asking irrelevant questions.
• Parametric Knowledge: When the agent suggests off-the-wall ideas or unconventional system architectures, it is tapping into this internal knowledge base. You need smart models to ensure this base is deep enough to provide high-quality design prompts.
• High-Fidelity vs Low-Fidelity: Confusing these leads to long, frustrating sessions. High-fidelity questions should trigger a handoff to a visual prototype so the agent can 'see' the problem.
• Dumb Zone: Most frontier models have a threshold (often around 120k tokens) where attention relationships begin to strain. Managing scope prevents you from ever hitting this zone during critical planning sessions.

Key Takeaways

• Identify and limit the scope of your current AI agent planning sessions.
• Convert your next grilling session into a PRD document before clearing the context.