Story · Gagan Bhat & Isabella Kai He (Anthropic)
Evolution of agentic surfaces (Gagan Bhat & Isabella Kai He (Anthropic))
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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.
Appeared in
- In LangChain's benchmark, only 7% of agent turns needed a frontier model
Aug 12, 2026 · in the sections
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