A fireside with Guillermo Rauch (CEO, Vercel) and Simon Rohrbach (CEO, Plain) on what changes when software has to serve two kinds of user: humans and agents.What you'll walk away with:
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A working playbook for graduating internal AI experiments into durable, customer-facing products. Plain did it in about two weeks and Simon will show the seams.
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A concrete framework for deciding when agent infrastructure deserves consolidation and when it deserves another vendor
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What agent workloads actually demand from your stack, from usage that spikes without warning to code you can't trust in production
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What has to change in your product when agents become actors in the system, including permissions and pricing
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What "AI-first support" looks like once the novelty wears off: where agents genuinely resolve, where a human still has to take the thread, and what breaks when you get that handoff wrong
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A clear picture of how lean, AI-native teams are structured, from two founders running them
