- The “Argue With Yourself” Prompt (reasoning check)
Use this when answers feel too confident.
“Answer the question below.
Then write a short rebuttal to your own answer.
Finally, revise the answer based on the strongest rebuttal.
Question: Is prompt engineering becoming less important?”
Why it’s interesting: It exposes where the model is hand-waving versus reasoning.
- The “What Would Break This?” Prompt (risk-first thinking)
Great for plans, workflows, or optimistic takes.
“Propose a simple workflow for using AI agents in daily work.
Then list 5 realistic failure modes that would make it unusable.
Rank those failures by likelihood.”
Why it’s interesting: You get fewer buzzwords and more operational thinking.
- The “Editor From Hell” Prompt (clarity upgrade)
I use this constantly for my own drafts.
“Act as a brutally strict editor.
Rewrite the text below to remove:
vague claims
filler adjectives
implied certainty
Keep the tone neutral and concise.”
Why it’s interesting: It forces models to cut, not embellish—still a weak spot for many.
- The “Translate Across Mediums” Prompt (concept stress-test)
Try this with abstract ideas.
“Explain ‘prompt constraints’ as:
a kitchen recipe
a legal contract clause
a software interface setting
Each explanation ≤40 words.”
Why it’s interesting: If the idea survives translation, it’s probably solid.
- The “Diagram Without Words” Prompt (image models)
Best with tools like Midjourney or similar.
“Create a simple diagram showing how an LLM responds to a prompt.
Constraints:
no text
grayscale only
must clearly show user intent vs model output.”
Why it’s interesting: You learn fast whether the model actually understands relationships—or just labels.
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