Story · AWS ML Blog
Optimizing agent system prompts with Amazon Bedrock AgentCore (AWS ML Blog)
blog post · Story page
AWS opens up the system prompt optimizer inside AgentCore: production traces feed a reflector engine that proposes configuration changes, and those changes get validated before promotion instead of reaching the running agent. Benchmarks for the Single Agent and Sub-Agent Reflectors are reported separately.
In plain words
- Amazon described software that suggests changes to instructions for artificial intelligence assistants.
- It studies records of the assistants' real work to identify possible changes.
- People running these assistants can have proposed changes checked before those instructions are used in real work.
Appeared in
- Every audited chat tokenizer lets prompt text forge control tokens
Sep 17, 2026 · in the sections
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