These are good prompts. Use them.
But the real skill is not having a list. It is knowing how to write your own.
Most people treat prompts like spells. Copy the right words, get the right output. When it does not work, they Google for better spells.
That is backwards. The prompt is the last step, not the first.
Every good output follows the same sequence:
Signal is what you pick up from the world. Conversations, complaints, patterns, friction. AI has none of this. You have to bring it.
Thought is where you decide what matters. What is worth building. What to ignore. AI can pressure-test your thinking, but it cannot think for you.
Language is the prompt itself. This is the only part the model sees. If your signal is weak or your thinking is vague, the best prompt in the world will not fix it.
Half the battle is learning how to prep. How to show up to a model with the right context, the right constraints, the right question. That is what separates people who get useful outputs from people who get slop.
The 26 prompts below work. But pay attention to why they work. The structure. The specificity. The way they close off escape routes. Learn that, and you will not need lists like this anymore.
These first prompts help surface what is actually happening in the world, not what sounds interesting.
Reality Check
Follow up: For each problem, trace backwards. What were people doing before they paid? What broke that made them finally spend money?
Post-Purchase Pain
Follow up: Which complaints have users built workarounds for instead of switching products? Those workarounds are your feature roadmap.
Hidden Labor
Follow up: Why does this inefficiency persist despite being obvious? What structural or organizational force keeps it alive?
Actions Over Words
Follow up: What hidden incentives explain these choices? Where does stated preference diverge most dramatically from actual behavior?
Duct Tape Products
Follow up: At what scale do these makeshift systems break? What is the first thing that fails when the team grows or data increases?
Incumbent Weakness
Follow up: What is the minimum improvement that would justify the switching cost? What single feature would break the inertia?
These prompts shape judgment. They force focus, constraint, and honesty.
One Job
Follow up: What specifically breaks in the product experience if you try to succeed at two things instead of one?
Explicit Non-Goals
Follow up: Describe the user who will be disappointed by this product. Why is losing them acceptable or even necessary?
Identity Shift
Follow up: What anxieties or recurring worries disappear from their daily experience?
Natural Frequency
Follow up: Where exactly does engagement drop off and why? What causes the gap between problem frequency and product usage?
Pain vs Status
Follow up: If this product vanished tomorrow, who would actually be stuck and unable to do their work? Who would simply move on?
Trust Threshold
Follow up: What single event or experience would instantly destroy that trust and make recovery impossible?
Single Screen
Follow up: What did you just cut that you were previously treating as essential? Why were you wrong about its importance?
Sacred Cow
Follow up: What clarity emerges when that feature is gone? What problem does its removal actually solve?
Pre-Software
Follow up: Where does software genuinely accelerate this process and where does it add unnecessary complexity or friction?
No AI Fallback
Follow up: What percentage of your value proposition survives without AI? Is that enough to sustain a business?
Zero State
Follow up: Does this default state create calm confidence or anxiety about missing something? What emotion does inaction produce?
Graceful Degradation
Follow up: What failures are absolutely unacceptable regardless of how rare they are? What must never happen?
Boring Mode
Follow up: Would this boring version still solve the problem? Would people still pay for it without the novelty?
Productive Constraint
Follow up: What does this constraint force you to prioritize that you were previously avoiding?
These final prompts force shipping, charging, or stopping.
48-Hour Prototype
Follow up: What are you tempted to include that can actually wait without blocking any real value delivery?
Cringe Launch
Follow up: What are you tempted to hide that would actually prove the product works? What ugly truth demonstrates value?
Pre-Complete Revenue
Follow up: What exactly are they paying for in that moment? Name the specific outcome, not the feature.
Human Override
Follow up: What signals indicate the system should immediately hand control back to a person? Define the tripwires.
External Evidence
Follow up: How would a user describe this change to someone who has never heard of your product?
Kill Criteria
Follow up: What signal would you be tempted to rationalize away? What would make you want to keep going even though you should stop?
AI did not change what matters. It exposed what was always missing.
With powerful models available to everyone, the bottleneck is no longer access, speed, or tooling.
It is articulation.
The builders who win will not be the ones with the fanciest stack. They will be the ones who can recognize real signal, shape it with judgment, and express it clearly through language.
Prompts are not magic spells. They are amplifiers.
If intent is weak, they amplify confusion. If intent is clear, they amplify impact.
That is what these 26 prompts are for.