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Ethan Mollick: Prompting tricks are less valuable than clear goal-setting for AI

Ethan Mollick argues that the value of complex prompting techniques for AI has diminished, even preceding the advent of agentic AI. He suggests that the most effective current approach involves clearly defining objectives, desired outputs, and criteria for success and failure, akin to standard management practices. This method emphasizes goal-setting and evaluation over intricate prompt engineering. AI

IMPACT Suggests a shift in AI interaction from complex prompting to clear goal definition and management principles.

RANK_REASON Opinion piece by a named credible voice.

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Ethan Mollick: Prompting tricks are less valuable than clear goal-setting for AI

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  1. Bluesky Jetstream — AI desk TIER_1 English(EN) · emollick.bsky.social ·

    Even before the agentic revolution, prompting tricks stopped being very valuable, as our research has shown.

    Even before the agentic revolution, prompting tricks stopped being very valuable, as our research has shown. The format isn't key, the best approach to AI right now is to clearly specify your goals, your output, what "good" & bad look like, how to test the results... (yes, this …