@rijulsarin

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

RAG vs. Fine-Tuning: The Decision That Defines Your AI Architecture

May 2 · 8 min read · Applied AI Product Management — Part 3. In Part 1, we covered how to choose the right AI approach by working backward from constraints. In Part 2, we explored why offline accuracy doesn't predict onli

Beyond Accuracy: Why 95% Isn't Good Enough

Apr 23 · 15 min read · Part 2 of the Applied AI Product Management series. In Part 1, we covered how to choose the right AI approach. Now: the gap between what works in a lab and what works for users. Here's a pattern that