AI systems, taken apart and set in motion
Every week I take one hidden mechanism inside an AI system, or the product built on it, and make it move, so you can see how it behaves instead of just reading about it. I turn these insights into decisions so that you know what to build, ship, measure, or price to make your AI product successful.
Latest
- Why AI models top the benchmark and fail the job › An agent that clears 95% of steps finishes a 20-step job only 36% of the time. Why benchmark scores collapse on longer real work, and where to add checks. Jun 18, 2026
- Why AI products leak half their revenue in a year › AI-native software keeps about 48% of revenue after a year versus 82% for traditional SaaS, and the gap tracks price. Retention benchmarks by price tier. Jun 11, 2026
About
ML engineer turned AI product leader
I am Syed Tanveer Jishan, a Bangladeshi-Canadian based in Vancouver and Chief Innovation Officer at MonetizeMore. I have 10 years+ of experience in machine learning and AI product development. I have built systems for ad fraud detection, agentic ad compliance, and both ML-based and agentic ad optimization. I have also worked with the data infrastructure underlying these systems. I have developed the ability to understand systems like an engineer while connecting them to business outcomes like a product strategist.
Two Google Publishing Innovation Awards (2020, 2022), for Traffic Cop's impact on traffic quality and ad spend efficiency.