Sampling Base
# PRISM Sampling Prompt Guidelines
When designing prompts for PRISM N-Sampling, the goal is to maximize the useful variance between instances.
## Principles
**Be specific about the task, not the approach**
❌ "Use a structured approach to analyze..."
✅ "Analyze X and give me actionable conclusions"
Specifying the approach constraints the trajectory space. Let the model find its own path.
**Include relevant context, avoid implicit constraints**
Include the facts the model needs. Don't add stylistic constraints ("be concise", "use bullet points") — those reduce variance. Format instructions belong in the meta-agent prompt, not here.
**Open-ended > Closed-ended**
Questions with one correct answer don't benefit from N-sampling. The gain is maximal when the problem has multiple valid approaches or when the solution space is large.
## Template Structurewhen to use it
Community prompt sourced from the open-source GitHub repo Mnemoclaw/prism-framework (MIT). A "Sampling Base" 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
Mnemoclaw/prism-framework · MIT
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