Anthropic's Katelyn Lesse & Angela Jiang: Building an Ecosystem, not a Walled Garden

Categories: VC, Startup

Summary

Anthropic treats internal and external platform development identically to avoid bifurcation, betting that AI form factors will constantly evolve—making robust, primitive-based APIs more valuable than hardcoded products that quickly become obsolete.

Key Takeaways

  1. Build platforms on three abstraction layers: knowledge, execution, and coordination. Progress roadmap by moving from knowledge → execution → coordination layers to enable increasingly complex AI orchestration.
  2. Intentionally keep internal and external platform identical rather than bifurcating them. This forces consistent primitive-building and prevents internal optimizations from creating walled gardens.
  3. Prioritize speed as a north star for internal platform teams shipping AGI products. Create reliable infrastructure that enables rapid iteration, not just feature completeness.
  4. Focus on primitives and standards (like MCP and Skills) over opinionated products. Since AI form factors pivot every 2 years (chat → agents → unknown), building flexible APIs outlasts specific UIs.
  5. Integrate deeply with hyperscalers (AWS, Google) to bring platform close to where business happens. Avoid assuming standard interfaces; let customers express custom software economically.

Related topics

Transcript Excerpt

The last layer of abstraction on top of this is probably the coordination layer. So you have knowledge and you have execution, you have coordination. And at the coordination layer, we're beginning to think of these things called like strategies where basically it's almost like a meta harness. The true low-level harness is designed for execution. But the next one is about okay if tokens aren't really fungeible and you need to give them different jobs like maybe some this token is advising versus this token is executing you want to start composing these like these kind of orchestrated strategies that go together and they should sit on top of all these things because at the end of the day you still need to execute and the execution still needs to know what to do. So everything in theory shoul…

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