Favorite AI agents have evolved significantly beyond chat. Writing code, persist filesystem state, execute shell commands, and managing states throughout the filesystem are some examples of things that they can do. As agentic coding assistants and development workflows have matured, the filesystem has become agents’ primary working memory, extending their
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Shared by AWS Machine Learning April 2, 2026
Favorite This post is cowritten by Jeremy Little and Chris Day from Rocket Close. Rocket Close, a Detroit-based title and appraisal management company within the Rocket Companies environment, has enhanced mortgage document processing by transforming a time-consuming manual process into an efficient automated solution. Processing approximately 2,000 abstract package files
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Shared by AWS Machine Learning April 2, 2026
Favorite AI agents that can browse the web open powerful possibilities—from research automation to real-time data gathering. However, giving an AI agent unrestricted internet access raises security and compliance concerns. What if the agent accesses unauthorized websites? What if sensitive data is exfiltrated to external domains? Amazon Bedrock AgentCore provides
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Shared by AWS Machine Learning April 2, 2026
Favorite This post is cowritten with Altay Sansal and Alejandro Valenciano from TGS. TGS, a geoscience data provider for the energy sector, supports companies’ exploration and production workflows with advanced seismic foundation models (SFMs). These models analyze complex 3D seismic data to identify geological structures vital for energy exploration. To
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Shared by AWS Machine Learning April 2, 2026
Favorite Evaluating single-turn agent interactions follows a pattern that most teams understand well. You provide an input, collect the output, and judge the result. Frameworks like Strands Evaluation SDK make this process systematic through evaluators that assess helpfulness, faithfulness, and tool usage. In a previous blog post, we covered how
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Shared by AWS Machine Learning April 2, 2026
Favorite Google is introducing two new inference tiers to the Gemini API, Flex and Priority, to balance cost and latency. View Original Source (blog.google/technology/ai/) Here.
Favorite New AI capabilities are coming to Google Vids, powered by Lyria 3 and Veo 3.1, like high-quality video generation at no cost and more. View Original Source (blog.google/technology/ai/) Here.
Favorite Your AI agent worked in the demo, impressed stakeholders, handled test scenarios, and seemed ready for production. Then you deployed it, and the picture changed. Real users experienced wrong tool calls, inconsistent responses, and failure modes nobody anticipated during testing. The result is a gap between expected agent behavior
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Shared by AWS Machine Learning April 1, 2026
Favorite Monitoring competitor prices is essential for ecommerce teams to maintain a market edge. However, many teams remain trapped in manual tracking, wasting hours daily checking individual websites. This inefficient approach delays decision-making, raises operational costs, and risks human errors that result in missed revenue and lost opportunities. Amazon Nova
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Shared by AWS Machine Learning April 1, 2026
Favorite Google partnered with the Brazilian government on a satellite imagery map to help protect the country’s forests. View Original Source (blog.google/technology/ai/) Here.
Shared by AWS Machine Learning April 2, 2026
