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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Agents1 min read
Guidelines for developing production-grade, agent-based business process automations using Amazon Quick Automate, focusing on process selection, agent design, and evaluation.
From AWS machine learning blog
LLMs1 min read
Wrapture builds on wrapt to enable tracing and overriding functions for testing and observability, with support for OpenTelemetry and configuration-based tracing in Python projects.
From Simon Willison
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.
