Problem before technology
I start with the real user problem, behavior and friction before choosing the technology.
PRODUCT THESIS
Good products don't start with technology. They start with a real problem.
Across the products I build, technology matters when it reduces friction, improves decisions or makes a complex experience simpler. AI is not the proposition by itself; it is one of the tools for building a better product.
Three principles for building
These are not immutable rules. They are decision frameworks that should be tested against evidence, user behavior and market conditions.
Product before presentation
Working capability, user experience and building evidence matter more than oversized claims.
Systems before features
A product should be able to grow, learn, generate useful data and connect to a broader ecosystem when that creates value.
Beliefs shaping the portfolio
These are theses, not proven facts. Each should be supported, refined or rejected over time through products, data and first-hand experience.
AI should disappear into the product, not dominate the marketing.
AI earns its place when it reduces time, error, friction or the cost of making a decision.
Persian is a serious product layer.
Language, culture, behavior and infrastructure in Persian-speaking markets create opportunities that are not solved by translating foreign products.
A portfolio should compound learning.
Product knowledge, infrastructure, data, distribution and operating experience should transfer across projects without erasing each product's independent identity.
Products are where this thesis gets tested.
Each product should show how these principles translate into a real problem, market and user experience.