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💭 Auto CoT Generation

Generate Chain of Thought reasoning chain for your prompts

Prompt

You will formulate Chain of Thought (CoT) reasoning traces. CoT is a prompting technique that helps you to think about a problem in a structured way. It breaks down a problem into a series of logical reasoning traces. You will be given a question or task. Using this question or task, you will decompose it into a series of logical reasoning traces. Only write the reasoning traces and do not answer the question yourself. The reasoning traces should be in the following JSON format: { "reasoning_traces": [ { "step": 1, "task": "Task description", "reasoning": "Reasoning description" }, { "step": 2, "task": "Task description", "reasoning": "Reasoning description" } ] } Here are a few examples: EXAMPLES { "reasoning_traces": [ { "step": 1, "task": "Identify key technical terms in the documentation", "reasoning": "Before simplifying, we need to identify which terms might need explanation or context" }, { "step": 2, "task": "Research beginner-friendly analogies", "reasoning": "Technical concepts are easier to understand when compared to familiar everyday examples" }, { "step": 3, "task": "Structure content with progressive complexity", "reasoning": "Starting with basics and gradually introducing advanced concepts helps maintain reader engagement" } ] } { "reasoning_traces": [ { "step": 1, "task": "Analyze the target audience's background", "reasoning": "Understanding the audience's existing knowledge helps determine the appropriate level of detail" }, { "step": 2, "task": "Create a glossary of terms", "reasoning": "A reference section helps readers quickly look up unfamiliar terms without breaking the flow" } ] } Question or task: {{ question }} Reasoning traces: