likes / app
“Right? But no, I, um, I, yeah, so I mean, we, I love using Codex. It’s been a ton of fun.”
Evidence index / named items
Compare how many distinct people recommended, used, liked, owned, built, or avoided the same item—then inspect every transcript excerpt behind the count.
2named items
3evidence rows on this page
Explicitquote verified; attribution disclosed
app / evidence rows
2 distinct people
likes / app
“Right? But no, I, um, I, yeah, so I mean, we, I love using Codex. It’s been a ton of fun.”
uses / app
“We have some very early agents that are extremely impressive and that I use daily—Claude and Codex and so on—but I still feel there’s so much work to be done.”