1. Building trust in AI agents: A production-ready evaluation framework with Amazon Bedrock AgentCore The North Star Every organization racing to deploy AI agents faces the same reckoning: an agent that demos beautifully can quietly degrade in production, and by the time a human no 10/17 04:48 ♡
2. Introducing Reflection Beam: an open-weight model for agentic coding on AWS Reflection AI introduced Beam, an open-weight model for agentic coding and long-horizon tasks such as maintaining code, using tools, interpreting results, and completing multi-step 10/16 23:23 ♡
3. Meta’s Muse Spark Open now available in Amazon SageMaker JumpStart Muse Spark Open, Meta’s coding-optimized open-weight model, is now available in Amazon SageMaker JumpStart , the machine learning (ML) hub of Amazon SageMaker AI . The model was tr 10/16 01:43 ♡
4. Trust in Depth: Giving agents more autonomy without losing control In every conversation I have with enterprise leaders, they say the same thing. They want agents to do more, but they don’t trust them to do it right all the time. That’s fair. The 10/15 23:05 ♡
5. Build self-improving document processing using Amazon Bedrock AgentCore IDC research shows that document-related challenges cost organizations $19,732 for each information worker annually and reduce productivity by 21.3 percent. Organizations receiving 10/15 00:24 ♡
6. Generate presentations with Amazon Bedrock AgentCore A financial services team spends significant time each week manually creating client PowerPoint presentations from quarterly reports, compliance documents, and market analyses. Eac 10/14 21:58 ♡
7. How Tamnoon built AI-powered cloud security remediation with Amazon Bedrock Critical cloud exposures pile up faster than security teams can close them. Cloud-native application protection platforms (CNAPP), cloud providers, and posture scanners generate mo 10/14 21:53 ♡
8. Deploy and evaluate models with Amazon SageMaker JumpStart Choosing the right model for a specific application requires a practical way to test it with representative inputs. Amazon SageMaker JumpStart provides access to a broad catalog of 10/14 21:14 ♡
9. Building agents that transact with Anchor Browser and AgentCore payments AI agents increasingly need to access web resources that are priced per request. For example, premium datasets charge by the query, research APIs meter by the call, and paywalled p 10/14 04:10 ♡
10. Manage private pricing offers for Amazon Bedrock with managed entitlements Managing AI model access across dozens or hundreds of AWS accounts creates operational friction when each workload account must subscribe and accept AWS Marketplace Private Pricing 10/14 01:17 ♡
