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Agent-ready data, human trust and distribution for AI startups
A founder says companies he met want to connect internal data to agents, but often find it messy.
TLDR
After a 48-hour San Francisco trip, a founder says companies he met want to connect internal data to agents but often find their records messy. He describes teams building tools that can swap between AI models and suggests easily copied software may make customer data more valuable. In a follow-up, he argues products must be picked by an agent and trusted by a human, while founders struggle to get noticed.
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