🧠 The 1% Rule for AI Mastery

TL;DR: Sharpen your prompting skills through small continuous improvements, training AI with your unique skillsets—and gradually design your own autonomous AI agents.

Who is this relevant for? Business owners, senior leaders, product teams, designers, learning & development teams, marketing & communication teams—and anyone exploring how to systematically improve AI expertise for work.

📚 Authors

• Anders Ericsson - Professor of Psychology at Florida State University

• Robert Pool, PhD - Science Writer

🎓 The Evidence

Based on the Ericsson’s own world famous research on performance, Peak reveals that expertise is not innate—it is developed through deliberate practice. Across fields like sports, music, medicine, and cognitive tasks, top performers refine their skills through focused, structured training.

Few lessons from the book are:

• Expertise is built, not born – The best don’t just practice more; they practice smarter.

• Deliberate practice requires feedback – Real improvement happens when you test, refine, and iterate a specific skill with a coach/mentor/peer sharing honest feedback (AI can provide feedback as well)

• Mastery leads to automation – Once a skill is refined, the learner should be able to perform it with minimal cognitive effort i.e. muscle memory.

Book Reference: Ericsson, A., & Pool, R. (2016). Peak: Secrets from the New Science of Expertise. Random House.

🧪 Footnote

Evidence evolves over time and will NOT work across all contexts—start with a small experiment to find out what works for your specific learning objective.

P.S. Dear valued reader, if you want to create your own PhD-level researcher for behaviour change with ChatGPT, here’s a 20% discount code (Save USD 50) just for you.

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