In 1908, a Detroit accountant named Henry Leland tore apart three Cadillacs, mixed the parts in a pile, and reassembled three working cars from the heap.
The demonstration was about interchangeable parts. Before it, every car was hand-fitted and every repair required a craftsman who knew that specific vehicle.
Leland proved the future belonged to standardized components that any mechanic could read.
The pattern repeats whenever an industry drowns in bespoke complexity. Someone arrives and makes the parts legible.
Performance marketing is at that point now. The data sits in Google Ads, Meta, Shopify, GA4, each speaking its own dialect, each requiring an analyst who knows that specific system.
The marketer spends the week translating between them instead of deciding anything.
MAI, from a team that has run billions in ad spend, trains on a brand's own data and answers across every channel in one language.
After an event like Prime Day it separates what was incremental from what last-click merely flattered.
The work was never the reporting. It was the deciding. Tools that make the parts legible always push the human up to the part that matters.
Yuchen Wu (@yuchen__wu)
When it comes to Prime Day, brands spend weeks prepping, then spend the next month staring at reports that tell them what happened but never why. We’ve raised $25M and built MAI to fix that.
Video
— https://nitter.net/yuchen__wu/status/2069047145181728987#m