Thoughts on AI, business, technology, and everything in between
Lessons learned from deploying RAG-powered assistants across universities, corporations, and developer communities. What chunking strategies, embedding models, and retrieval techniques make the biggest difference.
How a focused two-week assessment prevents costly AI missteps and builds the foundation for successful implementation.
A practical look at AI-assisted development tools -- Cursor, Copilot, and Claude Code -- and how they're reshaping the way developers work.
What I learned designing and delivering an AI business development course at Corvinus University Budapest.
A practical guide to selecting and operating vector databases for production RAG systems. Pinecone, Weaviate, ChromaDB, and pgvector compared.
After 15 years in digital business, I closed my agency to focus on AI consulting. Here's why.
The case for time-based billing in AI consulting, and why fixed-price projects often fail both parties.
A practical comparison of major LLMs for production applications, based on real-world deployment experience.
The practical realities of running a solo AI consultancy -- from finding clients to managing projects across time zones.