Most public conversations about Taste via Mobbin skip the parts that matter to people actually doing the work.
Definition. How to cultivate design judgment without going to art school.
This idea was first written down by Rami in design for builders who arent designers.
The reason Taste via Mobbin is hard isn't lack of tools. It's the absence of feedback loops short enough to keep teams honest.
What this looks like in practice
"Taste via Mobbin" started as a description of something Rami was already doing, then it became a deliberate pattern. The shift from accidental to deliberate is the interesting part.
Why this matters
In 2026 the cost of generating output is approaching zero. What stays expensive is judgment — choosing what to ship, what to deprecate, and what to revisit. "Taste via Mobbin" is a frame that aims that judgment at the right surface.
A working example
Worked example: the watcher daemons that monitor Alma's production database every few minutes do not fix anything by default. They produce investigation markdowns. Whether the next step is automatic or human depends entirely on how "Taste via Mobbin" resolves for that class of bug.
Three of the five objections I think are manageable. Two of them are genuinely existential.
— Rami Alhamad, five objections to ai
Most of these threads run through Alma in some form. The fastest way to see them in production is to use the app.
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.