The forgotten conversation problem in AI chat
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Dezain Radar summary
Current AI chat interfaces prioritize a messaging-app architecture that fails to provide effective information retrieval for complex knowledge work. Because native search functions often only index conversation titles rather than the full body of text, users struggle to find and reuse specific insights from previous sessions.
Why this matters
Designers need to rethink the 'chat' paradigm, moving beyond simple chronological lists toward better metadata, tagging, and contextual recall systems to make AI interactions truly useful over time.
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