Are we becoming sharper critics, but lazier thinkers?
AI may be making us better at evaluating ideas while making us less comfortable creating them from scratch. A few questions about the shift from creator to editor.
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Before I trust a number, I look at what it hides, and that is usually where the real answer is. Python, SQL, Power BI and Tableau are how I find it.
Finding the story behind the numbers

Comparing four machine-learning models to tell genuine euro banknotes from fakes using their geometry alone, then shipping the best one as a ready-to-use script.
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A three-page Tableau dashboard that takes an investor from the global market down to a single neighbourhood, built on 478,000 cleaned listings across 16 countries.
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An international market study of 164 countries: 15 PESTEL indicators, a principal component analysis and a clustering that turn public data into a three-stage export roadmap.
Read the case study →AI may be making us better at evaluating ideas while making us less comfortable creating them from scratch. A few questions about the shift from creator to editor.
Read the note →I had the same analysis audited by two AI models, changing only how the prompt framed the work. They shared 32% of their findings. Why the question decides the answer.
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