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Challenge: Present an LLM with a classic logic puzzle (e.g., an Einstein Riddle or a Knights and Knaves puzzle). Ask it to solve the puzzle and explain its reasoning step-by-step.

Challenge: Describe a complex text pattern in plain English and ask an LLM to generate the corresponding regular expression (regex). For example, 'Generate a regex to validate an email address according to RFC 5322.'

Challenge: Give an LLM a list of random ingredients you have on hand and ask it to generate a coherent and appealing recipe. Try to make it!

For complex problems, break them into smaller, manageable steps. Use an LLM for each step, then combine the results. This is often more effective than one large, complicated prompt.

If an LLM struggles with a complex task, break it into smaller, simpler sub-tasks. Solve each part sequentially, and then combine the results. This is often more effective than one large prompt.

Provide business or academic case studies to LLMs and ask for analysis, including problem identification, solution evaluation, and lessons learned.