Why your AI keeps giving you the wrong answer
It's not the model. It's the question.
I've watched founders blame the AI for bad output when the problem was the prompt.
This is the most common one: asking for an answer when you should be asking for a framework.
The pattern:
Bad prompt: "What should my pricing be?" Good prompt: "What are the three most common pricing models for a B2B SaaS tool with fewer than 10 customers, and what does each assume about buyer behavior?"
The first prompt asks Claude to make a decision. The second asks it to build you a map so you can make the decision yourself.
At the solo founder stage, you almost always want the map.
Why this works better:
Claude doesn't know your risk tolerance, your runway, or what your three best customers actually said on their sales calls. You do. When you ask for a framework instead of an answer, you get something you can stress-test against real context — not a confident-sounding guess dressed up as advice.
Three swaps that improve output immediately:
"What should I do?" → "What are the tradeoffs between X and Y, given Z constraint?"
"Write me a landing page" → "What are the three things a solo SaaS landing page must communicate in the first 10 seconds, and why?"
"Is this a good idea?" → "What would have to be true for this to work? What would kill it?"
These aren't just better prompts. They're better thinking habits.
The AI gets smarter when you get more precise. That's not a bug — it's the whole point.
— Mira
Founders Napkin lands in your inbox every weekday. One AI tool or workflow for solo founders. Real, not theoretical.
Some links in this newsletter are affiliate links. They cost you nothing — and they're part of how I'm funding this experiment in public.