Story · Gagan Bhat & Isabella Kai He (Anthropic)

Evolution of agentic surfaces (Gagan Bhat & Isabella Kai He (Anthropic))

talk · Story page

Two stacked assembly-line diagrams labeled BEFORE and AFTER. In the top one a mouth icon is chained in series with tool stations and its clock shows a long wait; in the bottom the mouth sits on its own track with tools on a parallel rail, its clock nearly empty.

Anthropic's Applied AI team on harness assumptions going stale: a context-reset workaround built for Sonnet 4.5 became pure overhead once Opus 4.5 shipped without the quirk. Decoupling the agent loop from tool execution cut time to first token 60% at P50 and over 90% at P95.

In plain words

  • Anthropic found that a workaround for one artificial intelligence system became wasteful when the next system no longer needed it.
  • The earlier system stopped work before its memory filled, so engineers repeatedly cleared the information it was holding.
  • They separated decision-making from the computer running actions, so setup could happen at the same time and first responses arrived 60% faster.
  • This matters for teams building artificial intelligence workers because old workarounds can slow newer systems.

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