users show up to your AI product already burned. not by you, by the last three tools that were confidently wrong at the worst possible moment. that damage transfers.
we learned this the hard way. product demoed great, retention was rough. users tried it once, got something 80% right, never came back. not because 80% isn't useful, because they couldn't tell which 20% was wrong.
the fix wasn't better AI. it was being honest about where the AI stops and a human should check. we made that line explicit instead of pretending it didn't exist. retention improved more from that than any model upgrade we shipped.
the products that last aren't the ones with the best outputs. they're the ones users trust enough to actually rely on. most teams are optimizing for the wrong one.
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