AI Assist vs AI Complete: The Real Gap in Most AI Workflows Today
SMRTR summary
Most AI workflows today "assist" humans rather than fully completing tasks end to end. At a hackathon, teams built AI tools that still required humans to bridge gaps between steps. True "complete" systems need unambiguous triggers, defined decision logic, real execution hooks, and verifiable outcomes; missing any one means AI only assists.
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