PageRank worked because hyperlinks were costly acts — a website owner putting their reputation behind another page was a meaningful signal. That signal was hard to fake in 1998. In 2026, it is easy.
But there is a category of human action that remains structurally hard to fake: commitment. A person who visits the same restaurant twelve times in thirty days. A company with twelve years of profitable operation. A customer who has purchased from the same supplier across three different economic cycles.
These are behavioral signals rooted in real cost — time, money, attention, reputation on the line. No language model can manufacture them at scale without bearing the actual cost.
“When content becomes free, commitment becomes scarce. The commitment layer is what remains hard to fake.”
Commit captures, aggregates, and surfaces these signals — so AI recommendations, search results, and trust scores are grounded in reality, not manufactured consensus.
Think of it as the trust layer that should have been built alongside the information layer — but wasn't, because we didn't need it until now.
Why now
Three curves converged in early 2026. AI search is wrong about local businesses
a third of the time —
the trust problem is acute. Zero-knowledge proofs hit production
(zkTLS: 3M verifications, zero fraud). And proof of personhood
reached scale (World ID: 18M verified humans; eIDAS 2.0 mandates wallets
for 450M Europeans by year-end).
Each component existed in isolation. The integration — behavioral proofs from
verified humans, consumed by AI systems — is what nobody has built.