By skyforbes What surprised me is how little the “prompt tricks” mattered compared to clarity. Most bad outputs weren’t because the model failed — they were because I didn’t know what I wanted yet.
I kept writing vague prompts and expecting sharp results. “Give me viral content ideas.” “Help me grow faster.” Stuff like that. AI didn’t struggle — it just reflected my confusion back at me.
The hardest part hasn’t been learning frameworks. It’s been slowing down enough to define:
– who the content is for
– what problem it’s solving
– what change I actually want to create
Prompt engineering feels less like “talking to AI better” and more like thinking more honestly.
I’m still early and figuring this out in public, but I’m curious —
for those using AI regularly, what part do you find harder: writing better prompts, or deciding what you actually want from the output?