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.
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Explicitquote verified; attribution disclosed
app / evidence rows
1 distinct person
recommends / app
“It's 20 or 30. So this work this is less important for, like, memory agents, but it's just I recommend everyone, like, makes their agent use Tune instead of JSON and have, like, a a a Tune passing middleware between your agent and its actions.”