You Might Want to Re-Learn Prompting...
TL;DR · AI Summary
OpenAI's o1/o3 reasoning models (5.5 generation) have shifted optimal prompting strategy: moving from traditional step-by-step instructions to shorter "outcome-first" prompts that demonstrate desired output format rather than sequential guidance, significantly improving model performance.
Key Takeaways
- o1/o3 reasoning models prefer short outcome-first prompts over step-by-step inst
- Legacy prompts with 'step 1, step 2...' sequence structures may degrade performa
- Audit existing automation workflows and agent prompts for potential optimization
Outline
Jump quickly between sections.
OpenAI's 5.5 generation reasoning models (o1/o3) now perform best with outcome-oriented short prompts rather than step-by-step instructions.
Prompts containing detailed sequential structures (step 1→2→3) may underperform on the new model architecture.
Demonstrating desired output format or 'what good looks like' proves more effective than procedural guidance.
Immediately review existing automation pipelines, agents, and refined prompt templates to test whether single-goal short prompts outperform current implementations.
Mindmap
See how the topics connect at a glance.
查看大纲文本（无障碍 / 无 JS 友好）
- o1/o3 提示策略转变
- 旧模式失效
- 分步骤指令
- 序列结构提示
- 新模式：Outcome-First
- 短提示
- 展示期望结果
- 实践影响
- 自动化流程需重评
- Agent 提示需优化
Highlights
Key sentences worth saving and sharing.
5.5 models work better with shorter outcome first prompts where you show what a result or what good looks like rather than showing step one, step two, step three.
If you have prompts that have the sequence inside of them... It might be worth reevaluating right now.