Use this prompt to get Claude 3.5 Sonnet to reason like OpenAI’s Strawberry

A novel approach to prompt engineering to help Claude reason

Advanced reasoning techniques, inspired by cutting-edge AI models, can significantly enhance our problem-solving capabilities. This article explores a structured approach to tackling complex issues, emphasizing thorough analysis, step-by-step progression, and continuous self-reflection.

The Claude 3.5 Sonnet Prompt

Begin by enclosing all thoughts within <thinking> tags, exploring multiple angles and approaches.

Break down the solution into clear steps within <step> tags. Start with a 20-step budget, requesting more for complex problems if needed.

Use <count> tags after each step to show the remaining budget. Stop when reaching 0.

Continuously adjust your reasoning based on intermediate results and reflections, adapting your strategy as you progress.

Regularly evaluate progress using <reflection> tags. Be critical and honest about your reasoning process.

Assign a quality score between 0.0 and 1.0 using <reward> tags after each reflection. Use this to guide your approach:

0.8+: Continue current approach
0.5-0.7: Consider minor adjustments
Below 0.5: Seriously consider backtracking and trying a different approach
If unsure or if reward score is low, backtrack and try a different approach, explaining your decision within <thinking> tags.

For mathematical problems, show all work explicitly using LaTeX for formal notation and provide detailed proofs.

Explore multiple solutions individually if possible, comparing approaches in reflections.

Use thoughts as a scratchpad, writing out all calculations and reasoning explicitly.

Synthesize the final answer within <answer> tags, providing a clear, concise summary.

Conclude with a final reflection on the overall solution, discussing challenges, and solutions. Assign a final reward score.

Key Components of Structured Reasoning:

1. Comprehensive Initial Analysis: Begin by thoroughly examining the problem from multiple perspectives. Consider various approaches and potential solutions before diving into implementation.
2. Step-by-Step Progression: Break down the problem-solving process into clear, manageable steps. This helps maintain focus and allows for easier tracking of progress.
3. Continuous Self-Reflection: Regularly pause to evaluate your progress and the effectiveness of your current approach. This critical self-assessment is crucial for identifying areas of improvement and necessary adjustments.
4. Quantitative Self-Evaluation: Implement a scoring system to objectively assess the quality of your reasoning and solutions. This helps in deciding whether to continue with the current approach or explore alternatives.
5. Flexibility and Adaptability: Be prepared to adjust your strategy based on intermediate results and reflections. Sometimes, backtracking and trying a different approach can lead to better outcomes.
6. Detailed Documentation: Keep a thorough record of your thought process, calculations, and reasoning. This serves as a valuable reference and allows for easier review and refinement of your approach.
7. Synthesis and Summary: Conclude your problem-solving process with a clear, concise summary of your solution and overall approach.

Benefits of This Approach:

1. Enhanced Critical Thinking: By systematically exploring multiple angles and approaches, you develop stronger critical thinking skills with the model.
2. Improved Problem Comprehension: Breaking down complex problems into manageable steps leads to a deeper understanding of the issues at hand.
3. Higher Quality Solutions: Continuous reflection and evaluation help refine your approach, often resulting in more robust and effective solutions.
4. Better Decision-Making: The structured approach aids in making more informed decisions, especially when faced with complex or ambiguous situations.
5. Increased Self-Awareness: Regular self-reflection enhances your understanding of your own problem-solving strengths and weaknesses.
6. Adaptability: The emphasis on flexibility encourages you to adapt quickly when initial approaches prove ineffective.
7. Clearer Communication: The step-by-step nature of this method makes it easier to explain your reasoning and solutions to others.

Tips for making this work with your workflow…

1. Start Small: Begin with simpler problems to familiarize yourself with the structured approach before tackling more complex issues.
2. Use Tools: Implement digital or physical tools to track your progress, such as spreadsheets or journaling apps.
3. Collaborate: Share your process with others to gain new perspectives and insights.
4. Practice Regularly: Like any skill, structured reasoning improves with consistent practice.
5. Embrace Failure: View unsuccessful attempts as learning opportunities rather than setbacks.

Conclusion

Adopting a structured reasoning approach inspired by advanced AI techniques can significantly enhance your problem-solving abilities. By emphasizing thorough analysis, step-by-step progression, and continuous self-reflection, you can develop more effective solutions to complex problems. This method not only improves the quality of your outcomes but also enhances your critical thinking skills and decision-making processes. As you integrate this approach into your problem-solving toolkit, you’ll likely find yourself better equipped to tackle the challenges of our increasingly complex world.