Few topics reward depth like Transparency Matters More, partly because the surface conversation is so loud.
Definition. Why AI-assisted analysis should always show its working.
This idea was first written down by Rami in consuming davos with ai.
Canadian operators talk about Transparency Matters More differently than US operators, because the constraints are different and the capital is structured differently.
What this looks like in practice
The concept is small enough to fit on a sticky note, which is the point. Why AI-assisted analysis should always show its working.. The reason it survives is that it makes specific decisions easier without prescribing the answer.
Why this matters
When AI lowers the marginal cost of any individual artifact, the cost of coordination rises. Frameworks like "Transparency Matters More" exist to keep coordination cheap.
A working example
Take Alma's referral program. Building it on top of App Store Connect's offer codes meant inheriting Apple's pool semantics — and "Transparency Matters More" describes the pattern that emerged from doing it idempotently across two redemption paths.
Correction-free logs is the only metric that aligns model output with what users actually wanted.
— Rami Alhamad, shipping multi agent system to production
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.