Reasoning models shine when given tasks that involve critical thinking, problem-solving, and structured analysis. Here are seven types of prompts that bring out the best in these models:
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Problem-Solving Prompts
These push the model to break down a challenge and offer step-by-step solutions.
Break down the process of setting up a sustainable balcony garden in a small apartment, considering space, resources, and plant compatibility.
Hypothesis Testing Prompts
You can ask these models to evaluate possible outcomes based on certain assumptions.
If a city offers free bike rentals during peak hours, how would different rental durations and locations affect people's daily commutes?
Comparison Prompts
Let the AI weigh pros and cons of two or more options.
What are the benefits and drawbacks of using electric vs. gasoline-powered vehicles in a city setting?
Strategy Prompts
Let the model plan for long-term goals while considering available resources and constraints.
Develop a five-year strategic plan for a local restaurant to expand its customer base, considering staffing, marketing budget, and other businesses in the area.
What-If Prompts
These explore alternate realities or outcomes, encouraging creative reasoning.
If the internet had never been developed, how would society and economies be different today?
Forecast Prompts
Ask the AI to predict future trends based on current patterns.
How is the demand for printed books likely to change over the next 10 years, based on current reading habits?
Risk Analysis Prompts
Get AI to help you identify threats and suggest ways to manage or avoid them.
Considering the rising threat of cyberattacks, what steps should companies take to strengthen their cybersecurity?