Here are a few plug-and-play prompt templates to try: “Act as a logical analyst. Evaluate 3 options for [X]. Use only deductive reasoning and output a step-by-step decision matrix.” “Compare 3 strategies to reach [goal]. Rank them by ROI, and explain using first principles.”
@godofprompt
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Choose your output format to shape thinking
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Choose your output format. Why? Because format shapes thinking. Ask for: – Flowchart
– Logic trail
– Table of pros/cons
– Decision matrix
– Compare/contrast chart
– Hypothesis tree The model adapts to structure. -
List of reasoning types to ask the model
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Next, give it a reasoning task. This tells the model what kind of thinking to perform. Try these: – Tradeoff Analysis
– Root Cause Breakdown
– Ethical Scenario Assessment
– Heuristic Decision Tree
– Socratic Dialogue Be explicit.
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Assign a thinking role to sharpen model output
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First, assign the model a thinking role. This changes how it “shows up” mentally. Examples: – Strategy Consultant
– Logical Analyst
– Detective
– Policy Evaluator
– Research Synthesizer The more specific the role, the sharper the output. -
Unlock the Full Potential of Reasoning Models with This Cheatsheet
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The most powerful AI right now are the reasoning models. But only 0.01% know how to unlock the full potential of o1, o3, Gemini 2.5, and Claude Sonnet 3.7. That's why we created this cheatsheet to help you. Here's everything you need to master prompt writing:
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GPTs Boost Productivity Like a Personal Assistant
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Great point! Using GPTs can really boost productivity. It's like having a personal assistant for all those boring tasks!
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Prompt engineering is a skillset, not a job title
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Prompt engineering isn’t a job title. It’s a skillset. It combines system design, language mastery, and product sense. And it’s becoming essential for anyone working with AI.
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Prompt Evaluation and Optimization: Continuous Iteration
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5/ Evaluation & Optimization Prompts aren’t “set it and forget it.” They A/B test, evaluate, and refine. They track hallucinations, latency, cost, and safety. Prompt engineers treat prompts like software always in iteration.
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Product Thinking: Designing Prompts for Real Use Cases
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4/ Product Thinking They design prompts with real use cases in mind. AI isn’t just for demos. It powers: • Customer support
• Internal tools
• Research agents
• Creative workflows Prompts must work inside real products and systems. -
Model Fluency: How prompt engineers adapt to LLM quirks
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3/ Model Fluency They’re fluent in LLMs: • GPT-4
• Claude
• Mistral
• Gemini
• HuggingFace OSS models Each behaves differently. Prompt engineers tune to model quirks like a developer tunes to APIs. Different models, different logic.