I stopped writing instructions for AI and started showing behavior instead—here’s why it works better

Transforming AI Guidance: From Verbose Instructions to Demonstrative Behavior

In the evolving landscape of artificial intelligence, traditional methods of instructing AI models—primarily through detailed verbal commands—are increasingly giving way to a more effective approach: demonstrating desired outputs through behavior and examples. This shift mirrors a fundamental principle in teaching and craftsmanship: it’s often more impactful to show than to tell.

The Limitations of Verbal Instructions

Historically, user interactions with AI have relied heavily on instructive prompts—telling the model what to do in words. While this method can sometimes yield satisfactory results, it often leads to ambiguity and requires extensive trial and error to sharpen the output. Verbal instructions can be abstract, and when AI models interpret them differently than intended, the outputs may miss the mark.

Embracing Demonstrative Guidance

The more effective strategy is to show AI the behavior or output you desire. If you can’t initially generate the perfect result, work collaboratively with the AI to refine it. This could involve iterative experimentation: adjusting prompts, analyzing outputs, and honing the behavior until it closely aligns with your expectations. Once achieved, save this exemplary output as a reference point.

The Power of Examples and Influence

Think of this process as a form of inspiration—you’re exposing the AI to a specific behavior or style through concrete examples. Just as a musician might learn a new riff by listening and mimicking, or a designer by examining a sample, AI learns more effectively when shown a demonstration rather than told what to do.

In practical terms:
– If you know what you want: Create a clear example demonstrating the desired output. Use this as a template for future prompts.
– If you’re unsure: Iterate with the AI, refining your inputs until the behavior emerges.
– Once close: Use the successful output as a reference for subsequent tasks, continuing to refine as needed.
– Start simple: Begin with minimal details, gradually adding complexity once the base behavior is reliably reproduced.

A Prototyping Mindset

This approach aligns with a prototyping mindset—you’re not preparing exhaustive specifications upfront; instead, you’re “showing the vibe” and adjusting based on the AI’s responses. By focusing on behavior and examples rather than verbose instructions, you create a more intuitive and efficient workflow.

Final Thoughts

Transitioning from instructing AI through lengthy commands to demonstrating desired behaviors ultimately enhances your results. It fosters a more natural, influence-based interaction—what can