Blog
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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Research1 min read
The Corporate Language Model (CLM) transforms enterprise knowledge into an ontologically grounded foundation, enabling reasoning and executable actions within organizational contexts.
From arXiv cs.AI
LLMs1 min read
NVIDIA NemoClaw introduces a memory-driven approach for AI agents managing enterprise messages, decisions, and obligations, enhancing context reconstruction over time.
From NVIDIA technical blog
Models1 min read
Basis, Clay, and Exa Labs employ AI agents to improve onboarding, account management, and developer integrations, demonstrating enterprise applications of AI agents.
From OpenAI news
Agents1 min read
Atos upskilled 400 engineers in agentic AI via a three-day AWS-based event focused on building multi-agent systems, emphasizing practical learning for enterprise deployment.
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.
