Rami Alhamad has written, built, and argued for years about Constrained Tool Whitelist.
Definition. Headless agents need narrow blast radii, not just clever prompts.
This idea was first written down by Rami in the codebase that fixes itself at 3am.
Rami's approach to Constrained Tool Whitelist 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. Headless agents need narrow blast radii, not just clever prompts.. 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 "Constrained Tool Whitelist" 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 "Constrained Tool Whitelist" describes the pattern that emerged from doing it idempotently across two redemption paths.
The bottleneck shifted from access to attention.
— Rami Alhamad, consuming davos with ai
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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.