Generic Prompts = Generic AI Answers

2026-05-15 · Source: DeepLearningAI · Field: Technology & Digital — Artificial Intelligence & Machine Learning · Depth: Novice, quick

Summary

The article posits that AI models often provide generic advice because users fail to supply sufficiently unique context in their prompts. It illustrates this by comparing two scenarios for generating a workout plan. A basic prompt, "Help me build a workout plan. I'm 38, beginner level, have 10-lb dumbbells, and 15 minutes a day," yields conventional suggestions like squats and push-ups. Conversely, adding "weird enough context" such as "I have a trampoline and a cat" encourages the AI to generate more creative and unusual workout ideas, potentially incorporating trampoline breaks or cat-triggered micro workouts, thereby enhancing the AI's utility as a resource for novel solutions.

Key takeaway

For prompt engineers or AI students seeking innovative outputs, your prompts should include unconventional details. Instead of generic requests, integrate unique personal circumstances or unusual resources to push the AI beyond common sense answers. This approach can transform AI from a source of predictable information into a generator of truly creative and tailored solutions for your specific needs.

Key insights

Providing unique, "weird enough" context to AI prompts elicits more creative and less generic responses.

Principles

• Context drives AI creativity
• Specificity enhances AI utility

In practice

• Add unusual elements to prompts
• Include personal quirks in AI queries

Topics

• AI Prompt Engineering
• Contextual AI
• Creative AI Responses
• Personalized AI
• Prompt Specificity

Best for: Prompt Engineer, AI Student

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Editorial summary, takeaway, and curation by AIssential. Original article published by DeepLearningAI.