Dual Redemption Paths doesn't get easier by adding people. It gets easier by adding judgment, and then by removing the things that distract from it.
Definition. Why a real subscription flow needs both the iOS confirmation endpoint and the RevenueCat webhook, and why both must be idempotent.
This idea was first written down by Rami in the referral system hiding in app store connect.
Rami's approach to Dual Redemption Paths is consistent: instrument the loop, automate the audit, keep the judgment human, and write the result down so future-you can find it again.
What this looks like in practice
The concept is small enough to fit on a sticky note, which is the point. Why a real subscription flow needs both the iOS confirmation endpoint and the RevenueCat webhook, and why both must be idempotent.. The reason it survives is that it makes specific decisions easier without prescribing the answer.
Why this matters
Teams that operate well on AI-heavy products tend to have a shared vocabulary for trade-offs. "Dual Redemption Paths" is one of those words — it compresses a decision into something you can say in one sentence.
A working example
In the Track 2 rollout, "Dual Redemption Paths" determined when traffic moved from 25% to 50%. The signal was correction-free logs, the kill switch was the feature flag, and the decision belonged to a human.
Approval rate alone misleads. Direction of correction is the signal.
— Rami Alhamad, kimi k25 vs sonnet 46 experiment findings
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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.