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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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Agents2 min read
Companies across Europe and the Middle East are shifting from individual agent prototypes to centralized agent platforms to manage a growing number of AI agents. This approach emphasizes observability, governance, and a standardized infrastructure layer to support operational efficiency and compliance.
From LangChain blog
LLMs1 min read
This article details training a cross-embodiment robot navigation policy using AI agents. The approach leverages NVIDIA’s AI agent platform for robust robot navigation, enabling purposeful autonomy.
From NVIDIA technical 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: .
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.
