Evolution of agentic surfaces — Gagan Bhat & Isabella Kai He, Anthropic
Summary
Sonnet 4.5 developed what Anthropic's Applied AI team came to call context anxiety: approaching its context window limit, it would wrap work up early and stop with room to spare. They built context re
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Transcript Excerpt
[music] >> All right. Hi everyone. Thank you for joining us today. I'm Gagan. >> And I'm Isabella. >> We're both members of technical staff here at Anthropic at the Applied AI team. Our team sits at the intersection of product, research, and go-to-market. And we spend a lot of our daytime building agents, evaluating Claude, and finding ways to make it better in different use cases. >> We're here today to talk about how the surfaces for building agents has evolved in the last 3 years. What our teams have learned building agents both internally at Anthropic and externally with our enterprise customers along the way. I'll hand it off to Gagan to kick us off. >> So, here's the plan. We'll first start off by talking about how we've seen agentic surfaces evolve all the way from the Messages API …
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