@rijulsarin

The Tradeoffs That Define Every AI Product Decision

2d ago · 14 min read · Part 8 of the Applied AI Product Management series. Posts 6 and 7 covered architecture and infrastructure. This post covers something harder: the decisions that don't have clean answers, where every c

Edge, Cloud, and the AI Stack Every PM Should Understand

2d ago · 12 min read · Part 7 of the Applied AI Product Management. In Part 6, we built the framework for choosing your AI approach, your model, and how to serve it. Now we go one layer deeper: the infrastructure decisions

Build, Buy, or API: The Infrastructure Decision Hiding in Plain Sight

May 7 · 13 min read · Applied AI Product Management — Part 6. In Part 5, we covered the measurement concepts that let you evaluate model quality with rigor. Now we make the decisions that determine what you're actually bui

The Measurement Concepts Every AI PM Needs to Own

May 5 · 13 min read · Applied AI Product Management — Part 5. In Part 2, we covered how to measure whether your AI feature is working for users — the four-layer framework connecting model performance to business outcomes.

The PM's Guide to Prompt Engineering

May 3 · 11 min read · Applied AI Product Management — Part 4. In Part 3, we chose our architecture — RAG, fine-tuning, or both. Now we get into how you actually work with these models day-to-day. Prompt engineering sounds