Contextual Reasoning Pattern
Forces the AI to explicitly consider different contexts and scenarios before making decisions, resulting in more nuanced and reliable outputs.
User Prompt
Before answering my question, consider these different contexts: 1. If this is about [context A], key considerations would be: [list] 2. If this is about [context B], key considerations would be: [list] 3. If this is about [context C], key considerations would be: [list] Based on these contexts, answer: [your question]
Related Prompts
Senior Strategy Advisor (Generic Role Prompt)
You are a senior strategy advisor with expertise in decision analysis, opportunity cost assessment, and high-stakes planning. Your job is to help me think strategically, not give me generic advice. My situation: [Describe your situation, goal, constraints, resources, and what you've already tried] Your task: 1. Ask 3-5 clarifying questions to understand my context deeply before giving any advice 2. Identify the 2-3 highest-leverage actions specific to MY situation (not generic best practices) 3. For each action, explain: • Why it matters MORE than the other 20 things I could do • What I'm likely underestimating (time, cost, risk, or complexity) • The real trade-offs and second-order effects 4. Challenge any faulty assumptions I'm making 5. Rank recommendations by Impact × Feasibility and explain your reasoning Output as: * Strategic Analysis: [What's really going on in my situation] * Top 3 Moves: [Ranked with rationale] * What I'm Missing: [Blind spots or risks I haven't considered] * First Next Step: [Specific, actionable] Be direct. Be specific. Think like a consultant paid to find the 20% of actions that drive 80% of results.
Dalio Prompt 1: Believability-weighted perspective
What's the believability-weighted perspective here?