Notes on AI, marketing, software, customer behaviour and the systems businesses will need next.
This is not a collection of predictions about artificial intelligence. It is a working record of the questions, decisions and lessons that emerge while building products and solving real business problems.
Some ideas will be strategic. Some will be technical. Others will come from everyday marketing and business work. The common test is simple: can the idea help someone understand a problem more clearly or make a better decision?
AI in Marketing
How AI changes research, strategy, content, campaigns, measurement, customer understanding and the work of marketing teams.
Building AGE
Product thinking, evidence-based research, strategic reasoning and the challenge of understanding a business before executing marketing.
Building Humantik
Customer intent, commerce intelligence, policy-governed AI and the design of domain-specific business applications.
Ecommerce and D2C
Shopper behaviour, engagement, revenue leakage, customer journeys and the operating systems behind modern commerce.
Founder Notes
Lessons from building Digital Dadi, managing uncertainty, making product decisions and moving from services into platforms.
Business Systems
Why fragmented workflows persist and how better knowledge, decisions and feedback loops can change operations.
Occasional notes on what I am learning while building AGE, Humantik and Digital Dadi — without manufactured certainty or unnecessary noise.