How Models Learn to Behave: SFT, RLHF, and What Alignment Means for Product
Rijul Sarin
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23 posts published so far
How to Think Like a Senior AI PM: A Field Guide to the Interview
Rijul Sarin
How to Build an AI Product That's Actually Defensible
Rijul Sarin
AI Integration for Existing Products: The Questions Most Companies Get Wrong
Rijul Sarin
Designing AI Agents: How Much Autonomy Is Actually Safe to Ship?
Rijul Sarin
Going to Market with AI: Positioning, Pricing, and Building Trust at Scale
Rijul Sarin
AI UX: The Design Patterns Behind Products Users Trust
Rijul Sarin
Six Decisions That Built Six Category-Defining AI Products
Rijul Sarin
The Economics of AI Products: Cost Modeling Every PM Should Be Able to Run
Rijul Sarin
Red Teaming Your AI Before Users Do It For You
Rijul Sarin
Bias, Fairness, and the Metrics That Protect Your Product
Rijul Sarin
Writing PRDs That ML Engineers Actually Want to Build From
Rijul Sarin
Deployment, Monitoring, and the Work Nobody Talks About After Launch
Rijul Sarin
How to Scope and Ship an AI Feature Without Blowing Up
Rijul Sarin
Data Strategy: How to Feed an AI Product Without Starving It
Rijul Sarin
The Tradeoffs That Define Every AI Product Decision
Rijul Sarin
Edge, Cloud, and the AI Stack Every PM Should Understand
Rijul Sarin
Build, Buy, or API: The Infrastructure Decision Hiding in Plain Sight
Rijul Sarin
The Measurement Concepts Every AI PM Needs to Own
Rijul Sarin
The PM's Guide to Prompt Engineering
Rijul Sarin
RAG vs. Fine-Tuning: The Decision That Defines Your AI Architecture
Rijul Sarin
Beyond Accuracy: Why 95% Isn't Good Enough
Rijul Sarin
The Three Questions Every AI Product Decision Starts With
Rijul Sarin