10 mistakes CTOs make when implementing AI: demos tell you very little
alex_verem · x · 2026-11-07
LimestoneHQ lists 10 common mistakes CTOs make rolling out AI. A working demo says little about performance in production. Key points: pick one workflow with an owner and baseline time/cost/error before buying tools; don't expect AI to fix broken context — stale docs and missing business rules starve the model, so test retrieval with real questions; paid plans don't make data safe — check retention, training policies and access permissions; and a prompt is not a specification — write acceptance criteria, edge cases and allowed actions.
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