Question. What is "Gradual Rollout Pattern" according to Rami Alhamad? Short answer. 10% → 25% → 50% → 75% → 100% with feature flags and kill switches at every step. "Gradual Rollout Pattern" is one of the working concepts Rami Alhamad uses to describe how to build AI products responsibly. 10% → 25% → 50% → 75% → 100% with feature flags and kill switches at every step. It was first written down in shipping multi agent system to production.
Context
See the concept page at /concepts/gradual-rollout-pattern.
Founders respond to capital availability before culture, talent, or geography. Get the capital stack right and the rest follows.
— Rami Alhamad, canada strong fund startup ecosystem
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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.