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Ever since I discovered the benefits of working with AI tools, I’ve explored all sorts of avenues to find its most constructive uses.From a productivity standpoint, I’ve noticed boosts in that area thanks to ChatGPT’s helpful suggestions on how to improve my workflow, dodge/eliminate all the distractions that dare to disrupt it and get a better handle on my mental health by using different routines to balance my work/personal life. Besides that essential usage of chatbots, I’ve also gotten plenty of good to great uses out of ChatGPT, Gemini, Claude and Perplexity for deep research, recipe ideation, media recommendations, travel planning and everything in between.Making ChatGPT function like a personal operating system is a recent experiment that popped into my head when trying to find another avenue toward boosting my efficiency and optimizing my work-life balance.The result of this latest ChatGPT test saw OpenAI’s tool give me the perfect prompt that transforms it into my dependable operating system, which gave me the advice I needed to work more effectively.The perfect prompt for building my own operating system
(Image credit: Shutterstock)Once I asked ChatGPT to generate some prompts that switch its identity from a chatbot that doubles as my everyday search engine to my personal operating system, there was one option from its list of ideas that stood out the most. This one is called the “CEO Operating System” prompt:Become my personal performance analyst.Review everything I accomplished and think like a coach, psychologist, business strategist, and systems engineer.Get instant access to breaking news, the hottest reviews, great deals and helpful tips.Tell me:What worked exceptionally well.What created unnecessary friction.Where I wasted time.What patterns you notice.Decisions I should repeat.Decisions I should stop making.One habit to build.One habit to eliminate.The smallest change that would create the biggest improvement over the next month.Taking note of my personal operating system’s compliments and workflow recommendations
