MIT Says Half Your AI Gains Come From How You Ask. Not the Model.

Podcast/Substack · Article

• Core reframe: the bottleneck for AI productivity is not model capability but the quality of the assignment. Generic AI output reflects weak briefs, not weak models. Framing prompt-writing as “briefing” rather than “prompting” — you’re assigning work to a senior partner, not typing into a search box.
• The “six-field brief” template: goal, context, constraints, quality standards, format, and autonomy level. Providing all six transforms extended agent work from vague to actionable; skipping any field transfers ambiguity back to the model.
• Unexpected side effect: improving AI briefing discipline improves communication with human colleagues — the same clarity that makes AI output useful makes management clearer. The skill generalises.
• Practical takeaway: treat every AI assignment failure as a brief-quality failure first before attributing it to model capability. The model is rarely the bottleneck.