Notes on data, AI, IT
and security
No marketing fog. The way I think about real problems with founders and managers.
Robotics after LLM: why the next question is not chat, but action in the world
LLMs changed the interface for interacting with computers. The next shift is physical systems that understand context and act in the real world.
AI does not fix bad data
A short note on why an AI rollout in a company starts not with the model, but with the quality of the data underneath.
The next evolution of Agents SDK: long tasks, sandbox, and a production-ready agent
Tools for building AI agents are maturing. What this means for companies thinking about real deployments rather than demos.
Long context in LLMs: what it changes for business tasks in 2026
Modern models support context windows of hundreds of thousands of tokens. What this practically changes for companies and where the real limits are.
EU AI system definition guidelines: how this affects real products
The European regulator published guidelines on defining an AI system. What this means for companies that build or use AI-powered products.
Five AI questions worth answering before the year ends
2025 changed expectations around AI. I close the year with five questions that help managers honestly assess their readiness for the year ahead.
MCP and managed agents: how to connect to data without writing one-off glue code
The Model Context Protocol changes how agents connect to external systems. I break down what this means for architecture and data management in enterprise.
LLM hallucinations in operational decisions: the risk managers miss
Language models produce confident wrong answers. In internal demos this is inconvenient. In operational decisions it is a liability. I break down where the risk actually sits.
AgentKit and agentic UX as a new layer of enterprise software
Agentic interfaces are changing how enterprise software looks and works. I break down what this means for architectural decisions and UX strategy.
How to evaluate the return on AI investments: questions before the decision
ROI of AI projects is measured differently than ROI of traditional automation. I break down the right questions to ask before money is spent.
Long context in LLMs: what changes for architects and decision-makers
Models with hundred-thousand-token context windows look like a solution to many problems. I break down what this actually changes in practice - and where the traps are.
The coding agent and the new assembly point of development
GitHub Copilot is becoming an agent that can execute development tasks autonomously. What this changes for companies that commission or run software development.