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Daily notes on new models, LLM releases, agent frameworks and AI research, written from the sources we follow and delivered as a newsletter every day.
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Agents1 min read
A multimodal WhatsApp ordering assistant was deployed using Amazon Bedrock AgentCore and Amazon Nova 2, supporting text, voice notes, and real-time voice calls on a single business number.
From AWS machine learning blog
Agents1 min read
AWS announced memory lifecycle policies for Amazon Bedrock AgentCore to manage outdated memories, reducing quality degradation and compliance risks through nightly scoring, consolidating, and pruning.
From AWS machine learning blog
Agents1 min read
Amazon Bedrock AgentCore enables AI-driven development with reference implementations like SQL-to-ER diagram generator and code security analyzer, demonstrating practical phases of AI-DLC.
From AWS machine learning blog
Agents1 min read
The post details migrating a customer support agent from a notebook environment to Amazon Bedrock AgentCore, progressing through stages to reduce operational burdens and enhance deployment efficiency.
From AWS machine learning blog
Agents1 min read
A global broker built an automated pipeline using Amazon Bedrock AgentCore to analyze .NET code, generate diagrams, and maintain searchable documentation via AWS services.
From AWS machine learning blog
Agents1 min read
University Startups and g/d/n/a scaled Trinity, a conversational AI for students with disabilities, into a serverless multi-agent architecture on Amazon Bedrock for IDEA-aligned plans.
From AWS machine learning blog
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
How this blog is made
Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.
Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.
