TERBISAI
Guide: learn to talk with AI
A modern guide to better results — model-independent advice and a simple method that works regardless of which AI service you use.
Aug 17 · 1Into the engine room: bagging, boosting, attention and why it all happened at once
Part two of the AI alphabet series. How ML and DL actually make decisions, what attention does when an LLM reads a sentence, and the three things that fell into place at the same time.
Aug 17 · 2The AI alphabet: from ANI to RAG, explained without the jargon
ML, DL, NLP, RPA, LLM. The acronym soup that loses most people within a sentence. Here's the untangled version, with a movie example and an inspection report along the way.
Aug 10 · 1Directing AI instead of just prompting it
A new article from MIT Sloan Management Review separates having a conversation with AI from directing it. It turns out to be the next step in exactly the journey we've followed through this series – from words, to maps, to context.
Aug 10 · 2Context – and is "context engineering" the new black?
A perfect map won't help you if you don't know where you're standing on it. The fourth and final part of the series is about context, why "context engineering" became a buzzword, and why the best route there often starts with the right question.
Strategy
Systems thinking: why cause and effect are rarely a straight line
The cobra effect isn't an exception – it's what happens when you steer a system without understanding how it's wired together. Systems thinking gives you the language to see those connections before they bite back.
Sep 4The cobra effect in depth: when the fix becomes the problem
The cobra effect is more than a good story about snakes in Delhi. It's a recurring pattern in how organizations set targets – and it can be recognized before it strikes.
Aug 28Thinking in scenarios: how to see consequences before they happen
Most decisions look good on paper. The problem is what happens afterward, when reality answers back. Here's how to think in scenarios – and why the cobra effect is the clearest example of what happens when you don't.
Aug 24OKR vs KPI: the difference between measuring and moving
KPI and OKR are often lumped together, even though they do completely different jobs. A KPI tells you what already happened. An OKR exists to drive a shift that hasn't happened yet. Confusing the two is one of the most common strategy mistakes.
Aug 22How OKR works in practice
Objective and Key Result solve different problems and shouldn't be written the same way. Here's the mechanics behind the model — and the rules of thumb that separate OKRs that actually engage people from OKRs that are just a renamed task list.
Data
Stop cleaning all your data: the trap of generic data quality projects
55–60% of company data is never used at all. Layering a generic quality project over everything isn't quality work. It's cleaning a room no one ever enters.
Aug 17 · 2What is data actually worth?
Data that doesn't create value is just a cost. Here are three ways to actually turn data into money, and the five capabilities that decide whether you can pull it off.