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Evaluating AI Agents: A production blueprint with Strands and AgentCore

From 1-in-8 failures to 1-in-50. Here's how Motorway built production-grade AI agent evaluation.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

AWS AgentCore and Strands SDK are shipping real production tooling for evaluating and operating AI agents at scale. This matters because agent reliability—not raw capability—is now the deployment bottleneck for enterprise teams.

The key facts

10 to know
  1. Error rate improvement: 1 in 8 queries → 1 in 50 queries

  2. Issue detection time: few hours → few minutes

  3. AWS Amazon Bedrock AgentCore: fully managed agent deployment service

  4. Strands Agents SDK integration

  5. Motorola + AWS case study on production agent evaluation

  6. Published: July 23, 2026

  7. Error reduction: 1 in 8 queries → 1 in 50 queries

  8. Pipeline combines Strands Agents SDK with Amazon Bedrock AgentCore

  9. AgentCore is a fully managed service for deploying and operating AI agents at scale

  10. Case study: Motorway + AWS collaboration

Go to the source

AWS Machine Learning Blogaws.amazon.com

Publisher excerpt: Together, Motorway and AWS built an end-to-end evaluation pipeline that reduced incorrect results from 1 in 8 queries to 1 in 50 and cut issue detection time from few hours to few minutes. The pipeline combines the Strands Agents SDK with Amazon Bedrock AgentCore, a fully managed service for…
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