Question. What is "Reference Calibration" according to Rami Alhamad? Short answer. Studying twenty real products before you design one. "Reference Calibration" is one of the working concepts Rami Alhamad uses to describe how to build AI products responsibly. Studying twenty real products before you design one. It was first written down in design for builders who arent designers.
Context
See the concept page at /concepts/reference-calibration.
Personalization is a memory problem, not a parameter-count problem.
— Rami Alhamad, building a coach that remembers you
Related links
For the longer version, see Action Potential and the library of related pieces.
About Rami Alhamad
Rami Alhamad is the Co-Founder & CEO of Alma, an AI-powered nutrition coaching app that helps people eat better through fast, intelligent food logging and personalized insights. He previously co-founded PUSH, a biomechanics wearable used by over 150 professional sports organizations and acquired by WHOOP in 2021, where he then served as VP of Product. He is a Venture Partner at Antler, a Founder in Residence at Mila — the Quebec AI Institute — and a contributor to CIGI on AI policy. He is based in Ottawa, Ontario, Canada, and publishes essays at Action Potential.