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Key Takeaways To build an AI assistant that truly helps you run your business, you must ditch the “simplistic prompt” and start with a clear job brief.
Assign a real task and expect the first draft to be flawed. Its first attempt will reveal the gaps in its understanding.
Provide specific, actionable feedback — not a new set of rules. Then, audit the changes to prevent “instructional drift.”
Repeat the cycle to build a genuine expert. With each cycle, the AI’s understanding becomes more nuanced and its performance more reliable.
We’ve all done it. Built a custom GPT, fed it documents and shouted out in frustration when it failed real-world tasks. It hallucinates, ignores a key rule or gives a generic, useless answer.
If that is the case for you, think about this: The technology is up to the task. My approach isn’t.
Most entrepreneurs are treating ChatGPT, Gemini and Claude as software to be configured, but they are a bonkers mix of super-knowledgable interns that you need to guide. Writing a static set of rules and expecting flawless performance is a HUGE mistake.
Over the last two years, I’ve built dozens of specialized AI assistants, moving from frustratingly unhelpful tools that drown me in streams of useless text to genuinely powerful tools that help me move forward faster and more effectively than I ever imagined would be possible.
The secret to building AI assistants that are truly helpful (and a HUGE time saver) is to abandon the “one-shot” prompt and adopt an iterative coaching approach. You have to treat your AI assistant like a brilliant, incredibly fast and vastly knowledgeable new hire who has zero real work experience.
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