Why good prompting is the #1 skill most AI builders still ignore

I’ve been experimenting a lot with AI tools like V0, Lovable, and Bolt.new to build small products and prototypes.

One pattern keeps showing up: most ideas don’t fail because the idea is bad. They fail because the prompt is vague, confusing, or incomplete.

AI isn’t a mind reader; it does exactly what you ask. If your prompt is fuzzy, your output will be too.

For example, I recently built PublicWall off a single well-structured prompt. Before that, I wasted hours on iterations that were mostly me not clarifying what I actually wanted the AI to do.

To help with this, I started using PromptCraft to clean up and structure my ideas. It’s been a big time-saver. But more importantly, it’s taught me how crucial prompt design is to building anything worthwhile with AI.

I’m curious how others here approach this:

• How do you craft prompts for AI tools when building products?

• Do you have any systems or best practices you follow to get better outputs?

• Are there tools, frameworks, or examples you’d recommend for improving prompt clarity?

Would love to hear your experiences, tips, or any resources that have helped you write better prompts.