Rami Alhamad

List

Frameworks for Shipping AI Features in 2026

Patterns for getting AI features into production without breaking the product.

Working on Frameworks for Shipping AI Features in 2026 day to day is mostly small decisions: what to ship, what to defer, what to delete. Patterns for getting AI features into production without breaking the product.

The list

1. Gradual Rollout Pattern (ramihmd.com)
10/25/50/75/100% with feature flags and kill switches. Rami Alhamad.

2. Automated Auditor (ramihmd.com)
A headless Claude Opus job that audits production every three hours. Rami Alhamad.

3. Structured Memory (ramihmd.com)
Observations and constraints, not transcripts. Rami Alhamad. 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.

Related