Writing
Writing
Field notes on AI that moves decisions and the P&L: strategy, frameworks and engineering write-ups from production work.
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AI Agents vs Workflows vs Automation
Asked for an AI agent after a demo? Many times the work needs an AI workflow, or plain automation. Three questions to ask before you build the wrong one.
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ECG Style Anomaly Detection in Automotive Quality Control
How ECG-style anomaly detection flagged faulty engines in under 5 seconds each by defining normal, trained on 20 faulty examples from 1.3M historical units.
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Who Should Explore AI Tools Inside a Business?
A practical operating rule for assigning AI tool exploration by temperament, not title, so curiosity creates operating memory instead of distraction.
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AI Tool Tourism
Why chasing every new AI tool creates cognitive load, workflow breakage, and fragmented productivity — and the three reasons that actually justify a switch.
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Before You Buy an AI Tool, Ask These 6 Questions
A practical AI buying scorecard for leaders who need to separate useful systems from impressive demos: data, output, governance, ROI, upgrade path, and ownership.
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The AI Confusion Tax: Why Companies Buy the Wrong AI
The AI Confusion Tax is the cost of choosing an AI tool before defining the business decision. See the vendor patterns and the scoping question that prevents it.
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AI Strategic Skills: Where Should a CEO Draw the Line?
The essential AI skills for executives — from spotting vendor hype to owning the delivery of business value. How to move from Tier 1 to Tier 3 leadership.
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Why Your GenAI Strategy Is Just a Pair of Pliers in 2026
Generative AI is a powerful tool, but it's not a complete strategy. Why relying solely on GenAI is like trying to build a skyscraper with just a pair of pliers.
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Why Most AI Strategies Fail
And how to fix it — the 3 silent killers of AI projects: Pressure, FOMO, and Anxiety. How to diagnose your project before you waste another dollar.
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Decision-First AI: Why Data Should Follow, Not Lead
Let's stop the habit of blaming data and AI, and start with the decisions we actually want to change.
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The AI Umbrella: A Simple Guide to What Actually Matters
How to pick the right AI tools and avoid the buzzwords — a plain map of the full AI toolbox, from ML to optimization, and where GenAI actually fits.
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TrieKNN: Unleashing KNN's Power on Mixed Data Types
TrieKNN extends K-Nearest Neighbors to datasets that mix categorical and numerical features. See how it works and where it fits.
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CrossTab Sparsity for Classification
Can our metric help us in making a classification problem work better ?
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CrossTab Sparsity
A label and data type agnostic metric for evaluating clustering performance!
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A flow to Test Your Hypothesis in Python
A reusable Python flow for serious hypothesis testing, so you can run and read the right test without rewriting the boilerplate each time.
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Adaptive Regression
One error number hides where a regression fits badly. Adaptive Regression checks fit across the whole distribution, using Anscombe’s quartet to show why.
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