Growth Strategist, Performance Marketer, Developer, Data Scientist and Unicorn.
Hi, I'm Georg, a London based Growth Hacker, Data Scientist, Developer, and most recently AI Engineer with 14 years of experience and a hands on approach to turning ideas into thriving businesses. I've helped startups, ecommerce stores, and SMEs achieve fast yet sustainable growth through data driven strategy and practical execution. What sets me apart is simple: I don't just talk the talk, I walk the walk. I execute directly, cutting out inefficiencies and delivering measurable results. I primarily offer my services on a commission basis, effectively covering my own cost, because that's how confident I am in what I do.
The EU AI Act's biggest enforcement date is August 2, 2026. That's less than five months away. High-risk AI system obligations, transparency rules, and the full enforcement framework all go live on that date. If you build SaaS products that use AI and serve European customers, this directly affects you. This post explains the four risk tiers, how to figure out which one your product falls into, what the obligations actually mean in practice, and what you should be doing right now. No legal jargon. Practical guidance from someone building AI-powered SaaS for the European market.
Most marketing automation in 2026 is still glorified email scheduling. Send this email on day 3. Send a follow-up on day 7. If they click, send offer A. If not, send offer B. That is not AI. That is a flowchart. Real AI-powered marketing automation means dynamic pricing that adjusts to demand in real time, personalised product recommendations that learn from behaviour, predictive churn detection that intervenes before customers leave, and autonomous campaign optimisation that reallocates budget without waiting for a human to notice what is happening. This is what I am building with GrowCentric.ai, and this is what I implement for ecommerce clients on Rails and Solidus.
Most AI projects fail. Not because the technology is bad, but because the data is messy, the systems are old, and nobody knows where to start. Gartner predicts that 60 percent of AI projects will be abandoned due to poor data quality. This is the where do I even start post. Data quality, legacy systems, realistic first steps, and real examples from Rails, Solidus, and SaaS projects I have actually built.
Everyone is talking about AI agents in 2026, but most people still confuse them with chatbots. The difference is not cosmetic. Agents book flights, purchase groceries, manage inventory, and negotiate with other agents, all without a human clicking a single button. This post explains what actually changed, shows real examples of agents in action, breaks down the protocols making it all work, and explains what it means if you build ecommerce on Rails and Solidus or run a SaaS.
Agentic AI is the biggest shift in ecommerce since the smartphone. AI agents that autonomously manage inventory, handle customer support, route orders, and optimise pricing are already reshaping how online businesses operate. But what does agentic actually mean in plain English? How is it different from a chatbot? And how do you build these systems on Ruby on Rails and Solidus? A practical guide from someone who is building this right now.
A technical but accessible walkthrough of adding ML-powered product recommendations to Solidus, the open-source Ruby on Rails ecommerce framework. Covers three recommendation approaches (collaborative filtering, content-based, and hybrid), complete with Python ML scripts, full Solidus/Rails integration code, event tracking, cold start handling, A/B testing, GDPR compliance, and the honest limitations and pitfalls you'll hit along the way. No black boxes - every piece is explained and every trade-off is named.
