Before You Deploy an AI Agent, Try to Break It
Good AI needs boundaries. Great AI governance builds them in.
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How Circle K accelerated DevOps incident triage to under 15 minutes with Amazon Bedrock
Circle K's DevOps team cut incident triage from 45-60 minutes to under 15 by building an agentic triage system on Amazon Bedrock.
- Circle K reduced incident triage time to under 15 minutes using Amazon Bedrock.
- Agentic AI architecture enables autonomous incident investigation.
- On-call engineers receive actionable context via Slack summaries.
Agentic engineering intelligence with Amazon Nova Multimodal Embeddings and Amazon Bedrock AgentCore
Learn how to build a multi-agent engineering assistant that compresses aerospace component substitution evaluation from days to minutes, using Amazon Nova Multimodal Embeddings, Amazon Bedrock…
- Amazon Bedrock AgentCore orchestrates three specialist agents for part substitution evaluation
- Amazon Nova Multimodal Embeddings embed diverse content types for semantic similarity retrieval
- Human-in-the-loop ensures engineers retain final decision-making authority
Build efficient agents with knowledge distillation on Amazon SageMaker AI
Agentic assistants built on frontier models run a multi-step tool loop, and paying frontier prices on every step is hard to sustain at production scale.
- Knowledge distillation transfers larger model's behavior to smaller model
- Sequence-level distillation uses teacher's text outputs for training
- Amazon SageMaker AI enables serverless training of knowledge distilled models