Workflow Wednesday: Defining the Playing Field for AI Agents
As a kid playing soccer, this was the big disappointment: you scored a goal, only for the referee to call offside. You thought you were behind the invisible line … but apparently not. This maps well to our third TODO when working with autonomous agentic systems (remember, the first was about circuit breakers and the second about fallbacks): guardrails and monitoring…
Trend Tuesday: Would You Trust an AI With Your Credit Card to Plan a Trip?
Imagine you plan a city trip. You set a budget. A date…
Theory Thursday: Steering the Sailboat: How 13 Parameters Shift a 7B Mode
Training an AI model is hard. It requires skill and persistence. And the methods evolve constantly in this fast-moving field…
Workflow Wednesday: Fallback Is a Capability
In the last Workflow Wednesday, we talked about interruptibility by design and promised more todos when building agentic systems. Here is the second: fallback and override. Suppose you introduce transport robots in a warehouse…
Trend Tuesday: Why AI Skill Installations Deserve Caution
Before you consume something powerful, you check what’s inside. AI skills are a recent invention. And marketplaces to share and reuse skills formed almost immediately…
Theory Thursday: Energy Efficiency as an Innovation Driver ✅
Today’s AI is energy-intensive. I get many questions about it. And it is true: today’s AI is largely a brute-force approach…
Workflow Wednesday: Circuit Breakers for Agentic AI
Remember the market drop on May 6th, 2010? The Dow Jones lost 560 points in four minutes. Perceived risk spiked, market participants pulled out, and a stampede followed, temporarily annihilating roughly one trillion dollars in market value…
Trend Tuesday: Minecraft, an AI lab for muscle memory
Remember when you played Minecraft for the first time? Building in 3D felt simple and endless. I assume few would have guessed that this game would become a serious training and evaluation ground for AI agents…
Theory Thursday: LLMs use scratchbooks, too
Chances are, you started the year with good resolutions. I applaud you. And maybe you acquired a scratchbook to journal your journey…
Workflow Wednesday: A Fireworks Way to Understand Data
Remember when you were a child on Silvester and were allowed to light a small firework for the first time? Chances are you were in awe, a little scared, and fascinated by the light at the same time. You kept your distance, careful about the splinters - and drawn to it…
Trend Tuesday: Teaching AI Skills Changes Collaboration
Remember how you learned to ride a bike? With the help of your parents or a friend, you acquired a skill through repetition and feedback (well, falling, actually ;). Skills are also the AI trend this week…
Theory Thursday: How to Build Your Own Specialised LLM
Most of us use ready-made LLMs - they’re reliable, versatile and tested. But sometimes, you need to train your own. Andrej Karpathy’s llm.c shows how to train a small model on sequences, like lines from Shakespeare, by turning each word into a number and learning which comes next…
Workflow Wednesday: The Power of Small Working Examples
When ants search for food, they try paths, explore, and when they find something, they let the others know. A simple tactic. If you’ve ever had ants in your kitchen, you know how effective it is…
Trend Tuesday: OCR: Still Full of Surprises
“Optical character recognition (OCR) is a solved problem.” That’s a common conviction in the industry: it is often treated as a mature technology. A commodity we can stop worrying about…
Theory Thursday: Multisperspectivity: The Importance of Holding Contradictions
Is today’s AI imperfect? Yes. Should we ignore it…
Book The Modern AI and Data Platform: The Why, The What, and The How
After months of writing, editing, and refining … my upcoming book The Modern AI and Data Platform is almost here. It’s a collection of 42 short, fun-to-read chapters capturing everything we’ve learned about building powerful, future-proof platforms that create real value from data and AI, including the human side: culture, collaboration, and clarity. The book is structured in three parts: why AI belongs at the core, what defines a modern architecture, and how to turn principles into practice…
Theory Thursday: From Molecules to Markets: Nobel Prizes and the Spirit of Discovery
Science is amazing. For example, it creates AI systems. This month, the Nobel committee has announced the winners of this year…
Workflow Wednesday: People, Skills, and Culture
When you open a mechanical watch, the first thing you notice is motion: dozens of moving parts. A marvel of alignment. Gears, springs, and jewels in perfect interplay…
Trend Tuesday: Turns Out, Reality Has Better Training Data
Much has been said about AI running out of text - “the internet has been read.” Maybe true, and irrelevant. Because the AI actually learns from patterns…
Theory Thursday: Exponential Growth
Do you remember the trick question: water lilies that double every day. Now the lake is half covered. When will it be fully covered…