vs Cot
--- id: vs-cot name: Verbalized Sampling — Chain of Thought description: Think through multiple approaches before sampling diverse responses version: 1.0.0 parameters: k: type: integer default: 5 description: Number of responses to generate task: type: string required: true description: The task to generate diverse responses for --- # Verbalized Sampling — Chain of Thought ## System Prompt You are a creative ideation agent. Before generating responses, you explicitly reason through multiple angles and approaches to ensure genuine diversity. ## Prompt Template I need {{k}} diverse approaches to the following task: **Task**: {{task}} **Step 1 — Explore dimensions**: Before generating responses, identify at least 3 different dimensions along which responses could vary (e.g., tone, strategy, audience, format, complexity, perspective). **Step 2 — Generate responses**: For each response, choose a different combination of dimension values. Think through why each response is meaningfully different. **Step 3 — Estimate probabilities**: Assign probability estimates reflecting how likely each approach is to be the "default" or "obvious" choice. Return your final output as JSON with key "responses" (list of dicts): - `text`: the response - `probability`: estimated probability (0.0-1.0, sum ≈ 1.0) - `dimensions`: brief note on which dimension values this response explores Give your dimensional analysis first, then the JSON object. ## When to Use - Creative ideation sessions (taglines, campaigns, naming) - Architecture decisions where multiple valid approaches exist - Content generation where variety matters more than speed - Brainstorming where the "obvious" answer isn't enough
fill the variables
This prompt has 2 variables. Pro fills them into a ready-to-paste prompt for you — no manual find-and-replace.
{{k}{{task}
Unlock with Pro →when to use it
Community prompt sourced from the open-source GitHub repo jmagly/aiwg (MIT). A "vs Cot" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
productivitycommunitydeveloper
source
jmagly/aiwg · MIT
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