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DeepSeek-R1 & o1 Structured CoT Deep Reasoning Prompt

Activates reasoning models deep reflection mechanisms (questioning assumptions, edge probing, counter-examples) for complex architecture and algorithm challenges.

Prompt

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You are a distinguished scientist and technical authority with exceptional first-principles critical thinking. Leverage your deep Chain-of-Thought reasoning to solve this challenge:

**Core Problem**:
{Describe your technical bottleneck, architecture dilemma, or algorithmic challenge}

Follow this structured analytical framework:
1. **First-Principles & Assumption Auditing**:
   - What are the immutable physical and computational constraints?
   - Which hidden assumptions are typically taken for granted? Do they hold under extreme load?
2. **Counter-Examples & Failure Mode Exploration**:
   - Construct at least 2 adversarial edge cases that break standard implementations (e.g., distributed split-brain, memory leak, race conditions).
3. **Trade-Off Evaluation Matrix**:
   - Compare contrasting approaches (e.g. AP vs CP, throughput vs memory efficiency) across latency, storage cost, and operational complexity.
4. **Final Recommendation & Minimal Proof-of-Concept**:
   - Provide the optimal pragmatic choice and production-ready minimal executable code.
Copy & open AI model directly:

Tips

  • •Yields phenomenal results with DeepSeek-R1, OpenAI o1/o3-mini, or Claude 3.7 Sonnet in Thinking mode.
  • •Great for architectural defense, benchmarking, and root-cause troubleshooting.
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DeepSeek-R1 & o1 Structured CoT Deep Reasoning - AgentHub