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Microsoft releases the Decision-1 decision scoring model, post-trained on Qwen3.5-9B
On October 9, Microsoft launched Microsoft-Decision-1, which does not generate text but instead performs a single forward-pass scoring of preset answer options and returns a calibrated probability for each option, for use in routing, classification, prioritization, and verification. The model is post-trained on Alibaba's Qwen3.5-9B, is in public beta on Microsoft Foundry, and is available on OpenRouter under the identifier microsoft/microsoft-decision-1, with weights not distributed externally. Microsoft says it achieved 83.5% accuracy across 36 benchmarks and about 150,000 held-out questions, and plans to later migrate the base to MAI and OpenAI models; the OpenRouter listing shows a price of $0.042 per million input tokens, with output free.
On October 9, Microsoft launched Microsoft-Decision-1, which does not generate text but instead performs a single forward-pass scoring of preset answer options and returns a calibrated probability for each option, for use in routing, classification, prioritization, and verification. The model is post-trained on Alibaba's Qwen3.5-9B, is in public beta on Microsoft Foundry, and is available on OpenRouter under the identifier microsoft/microsoft-decision-1, with weights not distributed externally.
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n8n Blog Roundup of 6 IT Automation Tools: Selection by Four Categories of IT Work Scenarios
The n8n blog rounded up 6 tools across four categories of IT automation scenarios: workflow and integration orchestration includes n8n, Zapier, and Microsoft Power Automate; infrastructure and configuration management is Ansible; endpoint and RMM is NinjaOne; and ITSM is ServiceNow. The article notes that these tools are often collectively referred to as IT automation software, but their actual uses vary greatly, and selection should be based on the specific stage that needs automation.
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