AI systems, taken apart and set in motion
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. What you get to learn then feeds directly into the decisions in front of you: what to build, what to ship, what to measure, and what to price.
Latest
- Why doesn't HNSW have to check every vector? › The simplest exact search measures every stored vector, so the bill grows with the index. Step through the eight moves that let HNSW skip most of the measuring. Aug 10, 2026
- Why AI benchmarks that lasted four years now die in two years › The flagship 2020 AI exam lasted four years before models passed 90%. The 2021 and 2023 tests fell in 17 and 24 months. Why benchmark scores now expire. Jul 30, 2026
- Why the same AI model gets three different scores › Claude Opus 4.5 scored 45.9, 50.2, and 55.4 on the same benchmark, and only the harness changed. Why leaderboards partly rank the software wrapper around the model, and what to pay for first. Jul 23, 2026
- Why the flat $20 AI subscription broke in 2026 › The top 10% of users on flat AI plans burn 70% of the tokens. How the $20 subscription broke in spring 2026, and the hybrid price that replaced it. Jul 16, 2026
- Why LLM context windows lose accuracy long before they fill › Models pass the needle test at 99 percent, yet 10 of 12 lose half their accuracy by 32K tokens. Where the usable context window ends and how to measure yours. Jul 10, 2026
- Why doubling an agent's steps quadruples its bill › An AI agent re-reads its whole history on every step, so cost grows with the square of the steps. Why doubling an agent's steps roughly quadruples its token bill. Jul 1, 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.