Unverified50% confidenceFactExact time
Outcome-oriented prompting tells the model what to achieve, while process-oriented prompting tells the model how to do it.
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50%
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Long-term
Relevance
9/29/2026
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Related Claims
UnverifiedWhen working with more capable models, prompting should shift from "imperative" (step-by-step instructions) to "intentional" (expressing goals, constraints, and evaluation criteria)75% similarUnverifiedChain-of-Thought prompting encourages the model to reason step by step, few-shot prompting helps the model understand the task format by providing examples, and System Prompts are used to set the model's role and behavioral constraints.74% similarVerifiedThe o-series models combine chain-of-thought reasoning with reinforcement learning, with the model generating internal thinking steps before producing an answer.73% similarUnverified使用高能力模型进行优化的推荐交互模式包括：明确定义成功指标、提供基线方案、让模型提出改进假设并预估收益、将执行结果反馈给模型迭代调整73% similarUnverifiedThe core difference between agentic systems and single prompt-response mode lies in the reflection-action loop: the model checks whether the result meets expectations after executing a step before deciding the next step.72% similar
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