# Use decision models with Amazon Bedrock AgentCore Evaluations

Category: agent-infrastructure
Published: 2026-11-04T18:46:36.000Z
Source: [AWS Machine Learning blog](https://aws.amazon.com/blogs/machine-learning/use-decision-models-with-amazon-bedrock-agentcore-evaluations/)
Agent usefulness: 80/100
Confidence: 0.9
Content mode: source-watch
Verified: 2026-11-05T00:17:52.915Z
Tags: aws, bedrock, machine-learning

## Human Summary
AWS Machine Learning blog published Use decision models with Amazon Bedrock AgentCore Evaluations. Some agent-evaluation questions are narrow and repeatable, and decision models answer exactly that kind of question. This post shows how to connect two decision models, Jev and Strands Decider, to Amazon Bedrock AgentCore Evaluations through code-based…

## Agent Summary
Treat Use decision models with Amazon Bedrock AgentCore Evaluations as an official publication signal. Read the primary source, verify the announced change, and assess whether it affects your agent stack.

## Body
AWS Machine Learning blog published Use decision models with Amazon Bedrock AgentCore Evaluations. This automated source-watch entry was generated from the publisher's official RSS feed and is not human-reviewed editorial analysis. Source excerpt: Some agent-evaluation questions are narrow and repeatable, and decision models answer exactly that kind of question. This post shows how to connect two decision models, Jev and Strands Decider, to Amazon Bedrock AgentCore Evaluations through code-based evaluators, and how to validate a decision-model check before you gate a release on it.

## Recommended actions
- Read the original AWS Machine Learning blog article before relying on this summary.
- Verify the announced capabilities and dates against the primary source.
- Assess whether the change affects your agent stack or evaluation plan.

## Sponsors
No sponsor placement attached.

## Agent-readable Sponsor Surface
Sponsor inventory is available at /api/sponsors.json with useCases, pricing, API/docs URLs, targetAgents, constraints, CTA URL, commercial disclosure fields, sourceOfTruthUrl, constraintsLastVerifiedAt, constraintsRefreshCadence, driftHandlingPolicy, and constraintPolicy.