Notes on data, AI, IT
and security
No marketing fog. The way I think about real problems with founders and managers.
Context windows and knowledge management in a company
How growing language model capabilities affect how companies can organise access to corporate knowledge.
AI agent systems: moving from demo to platform
New tools for building AI agents are changing the conversation from 'is this possible' to 'how do we manage this in production'.
RAG in production: what architects actually need to decide
Retrieval-augmented generation has become the default pattern for corporate AI. I break down what architectural decisions actually matter and where the traps are.
The EU AI Act: where the red zone starts for business
The first binding rules of the EU AI Act on prohibited practices came into force in February 2025. What this means for companies using or planning to use AI.
DeepSeek-R1: reasoning as a new dimension of competition
What the release of DeepSeek-R1 means for companies thinking about AI: cost, openness, and practical consequences.
Sora as a step toward world models: controllable video generation changes the conversation
What Sora means beyond impressive demos: why it is a step toward world models and which practical questions it opens.
Controlling LLM costs in production: token budgets and request design
Practical ways to reduce the API bill for LLM-powered features without degrading quality - focused on what actually moves the needle in real deployments.
How to evaluate an AI vendor when buying: a working filter
A set of questions and criteria for a manager choosing an AI solution or contractor - without relying on demos and marketing materials.
Multimodal models: what is actually useful for business right now
A practical look at AI models that work with text and images together - without the marketing fog.
OpenAI DevDay 2024: what the announcements mean for product teams
A short reading of the October DevDay announcements - real-time API, prompt caching, fine-tuned evals - focused on what changes for teams building on top of OpenAI.
Agentic AI: the first questions a manager should ask
What AI agents are, how they differ from standard LLM tools, and which questions to ask before deploying them.
LLM hallucinations: why they happen and what it costs the business
A practical explanation of why language models confidently state things that are not true - and how to decide whether that risk is acceptable in your case.