For Entrepreneurs and Founders
You built your company on a belief no one else shared yet. Now you run every decision through Claude and ChatGPT before you decide anything yourself. The tools give you balanced perspectives on everything, which sounds smart until you realise you no longer have an unreasonable certainty about anything. The risk is not that AI will make your decisions for you. The risk is that you will stop making decisions at all.
These are suggestions. Your situation will differ. Use what is useful.
The moment you open Claude to think through a product decision, you hand the AI the chance to shape your initial intuition. Instead, spend thirty minutes with a notebook and write down what you actually believe before you search for validation. Your first instinct about your customer problem, your business model, your go-to-market approach, these come from pattern recognition you have earned through months of customer conversations. AI has pattern recognition too, but it does not have your skin in the game. Once you have written your view down, then you can use ChatGPT or Perplexity to test the edges of your thinking or find counterarguments you missed.
Every successful founder has at least one conviction that the market rejected at first. Claude and ChatGPT will not give you that conviction. They will give you the safe answer, the pattern that has worked before, the thing that sounds reasonable to most people. When you ask about your business model or your positioning, the AI will validate whatever approach is most common in your category. This is useful for spotting obvious mistakes. It is poison if you need to be right about something others are still wrong about. The companies that win early are usually the ones that see something nobody else has noticed yet. AI tools make that harder, not easier.
There is real work AI handles well. You can ask Perplexity to research what your competitors claim about their unit economics. You can ask Claude to help you structure customer interview notes. You can run Notion AI on sales call transcripts to find themes. These are leverage points. Strategy is different. Your go-to-market decision, your pricing model, your bet on whether you build B2B or B2C, these require you to hold conviction in the face of uncertainty. AI cannot do this because it weighs all options equally and returns the most probable path. You need to do this because you have made a choice about what you are willing to bet on. The best use of AI in decision-making is as research support, not as the decision-maker.
Early-stage companies succeed partly because founders are willing to look stupid for months before they look smart. This happens when you have conviction about something that seems crazy to most people. You chose your customer segment because you saw a problem nobody else was writing about yet. You chose your business model because you understood something about how that customer actually buys. You chose your positioning because you believed your product was fundamentally different from what existed. These decisions will not pass an AI reasonableness test. They will not pass a venture capitalist reasonableness test either, not for years. AI tools are particularly good at talking you out of these decisions because they treat all positions as equally valid and return the most defensible one. Your job is to stay stubborn about the unreasonable convictions and use AI for everything else.
You will use AI tools hundreds of times this month. Without a written record, you will forget which insights came from your own analysis and which came from ChatGPT. This matters because it means you will stop noticing when AI is shaping your instincts. A decision journal takes five minutes to maintain. Write down the question you faced, what you believed before you asked any tool, what the AI said, and what you actually decided. Over time, you will see patterns. You will spot moments when you are using AI to delay decisions instead of accelerate them. You will recognise when you have stopped trusting your own judgement. You will also see where AI research genuinely improved your thinking and where it just made you feel more confident about something you already knew.
Key principles
Key reminders
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