Kwindla Hultman Kramer compares the current AI transition with earlier changes in personal computing, the web, mobile and cloud software. His central argument is that agents matter, but treating them as the complete product model misses the wider set of primitives needed for AI-native applications.
The talk traces how spreadsheets, graphical interfaces and the web turned new computing capabilities into products people could use. Kramer revisits Apple's Knowledge Navigator concept to show that conversational, multimodal and context-aware interaction has long been imagined, while recent models and infrastructure now make those ideas practical.
A game demonstration called Gradient Bang illustrates the emerging patterns: agents as core interactions, long-running subagents with shared context, context compression, progressive skills, dynamic user interfaces and voice. Kramer concludes that teams should experiment beyond chat wrappers and discover product forms that use intelligence as a native software capability.
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