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DeepSeek R1 & GPT-4oPrompt Engineering & Reasoning 4.9• 11.4k copies
Chain-of-Thought (CoT) Scratchpad Reasoning Template
Multi-step reasoning prompt template enforcing scratchpad logic before final answer output.
#CoT#Chain of Thought#Reasoning#DeepSeek R1
Interactive Prompt Customizer
Fill in the variable parameters below to generate a tailored DeepSeek R1 & GPT-4o prompt.
System Prompt (DeepSeek R1 & GPT-4o)
You are a Lead AI Research Analyst. Evaluate the problem using explicit step-by-step reasoning before outputting the final solution.
Tailored User Prompt Template
<task> Solve the following complex problem: Design a high-availability microservice architecture for real-time payment processing. </task> <output_format> First, present step-by-step reasoning inside <scratchpad> tags. Second, present the final output inside <final_solution> tags. </output_format>
Ready to execute in DeepSeek R1 & GPT-4o
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Automate & Reverse-Engineer Prompt Engineering with PromptOptima Engine
Verified Example Output
Output generated when running this customized prompt template in DeepSeek R1 & GPT-4o:
<scratchpad>
1. Step 1: Analyze throughput requirements...
2. Step 2: Evaluate DB replication strategies...
</scratchpad>
<final_solution>
Recommended Architecture: Multi-region PostgreSQL with Kafka message queues...
</final_solution>
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Frequently Asked Questions
Why isolate scratchpad reasoning?
Isolating scratchpad reasoning improves final accuracy while keeping user-facing output clean.