Prompt to Prompt: High-Stakes Decision Support System
Prompt to Prompt: High-Stakes Decision Support System is a verified PROMPT blueprint on Promptally in System & Base Contexts optimized for leading AI models. Curated Business prompt from awesome-prompts library split. Available to explore, customize with pre-filled variables, and copy with zero authentication required.
Technical Specifications
| Specification | Value |
|---|---|
| Artifact type | PROMPT (System & Base Contexts) |
| Compatible engines | Universal / Model Agnostic |
| Input variables | llm_api |
| Approximate tokens | 446 |
| Source file | prompt-prompt-high-stakes-decision-support-system.txt |
| Access tier | Free public (MIT) |
Interactive Variables Playground
Customize the dynamic variables below to test real-time interpolation before copying.
Pre-Filled Template
Build a high-stakes decision support system called "Pivot" — a structured thinking tool for major life and business decisions. This is distinct from a simple pros/cons list. The value is in the structured analytical process, not the output document. Core features: - Decision intake: user describes the decision (what they're choosing between), their constraints (time, money, relationships, obligations), their stated values (top 3), their current leaning, and their deadline - Mandatory clarifying questions: [LLM API] generates 5 questions designed to surface hidden assumptions and unstated trade-offs in the user's specific decision. User must answer all 5 before proceeding. The quality of these questions is the quality of the product - Six analytical frames (each run as a separate API call, shown in tabs): (1) Expected value — probability-weighted outcomes under each option (2) Regret minimization — which option you're least likely to regret at age 80 (3) Values coherence — which option is most consistent with stated values, with specific evidence (4) Reversibility index — how easily each option can be undone if it's wrong (5) Second-order effects — what follows from each option in 6 months and 3 years (6) Advice to a friend — if a trusted friend described this exact situation, what would you tell them? - Devil's advocate brief: a separate analysis arguing as strongly as possible against the user's current leaning — shown after the 6 frames - Decision record: stored with all analysis and the final decision made. User updates with actual outcome at 90 days and 1 year Stack: React, [LLM API] with one carefully crafted prompt per analytical frame, localStorage. Focused, serious design — no gamification, no encouragement. This handles real decisions.
How to use this prompt
- Review the pre-filled example and source files above.
- Replace each variable ({{llm_api}}) with your own value.
- Copy the template or download
prompt-prompt-high-stakes-decision-support-system.txt, then use it in your model, IDE, or workflow tool. - Compare your result with the sample output when one is provided.
Frequently Asked Questions
How do I use Prompt to Prompt: High-Stakes Decision Support System?
Open the prompt on Promptally, review the pre-filled example, then copy the template or download prompt-prompt-high-stakes-decision-support-system.txt and paste it into your model, IDE or workflow tool. Prompt to Prompt: High-Stakes Decision Support System accepts 1 dynamic variable(s): llm_api. Replace each {{name}} placeholder with your own value before running it.
Is Prompt to Prompt: High-Stakes Decision Support System free?
Yes. Prompt to Prompt: High-Stakes Decision Support System is free to view, copy and download on Promptally without creating an account. It is published under the MIT license.
What variables does Prompt to Prompt: High-Stakes Decision Support System need?
Prompt to Prompt: High-Stakes Decision Support System accepts 1 dynamic variable(s): llm_api. Replace each {{name}} placeholder with your own value before running it.