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Agent Workflows

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  • Agentic Workflows Can Use Local Inference

    Agentic Workflows gives you complete control to customize your Actions runtime and choose your AI model. You can deploy Agentic Workflows to a custom runner of your choosing and use any compatible AI host or model-routing platform. You can even use local inference running on your Mac!

    Copilot Workspace Blog1 min read

  • I Tried 20+ Tools to Automate Businesses, These Are The Best

    Want to automate your business? Book a free audit: https://calendly.com/dobotai/automation-audit In this video, I break down every tool we actually use to automate businesses, from the CRM that everything else depends on, to n8n, Claude Code, and the tools that hold it all together, with real…

    Doby Lanete

  • LangChain agents tutorial: build a multi-step workflow in Python

    Last Updated on June 12, 2026 A chatbot that answers questions from a knowledge base sounds impressive in a demo. Then someone asks it a question that requires checking two sources, comparing the results, and deciding whether to follow up.

    Sebastian Thrun’s Introduction To Machine Learning Blog21 min read

  • Agentic AI architecture: how to design multi-agent systems that actually work

    Last Updated on June 12, 2026 Picture a support operations pipeline built to handle billing inquiries. A customer writes in with a request that combines a billing dispute, a policy exception they read about on a forum, and an account that is missing three months of usage data because of a migration…

    Sebastian Thrun’s Introduction To Machine Learning Blog20 min read

  • /goooooooal!

    Goal is an Agentic Workflow that brings the semantics of /goal directly to your repo. Open an issue with the goal label, and your agent will work on it until your success criteria are satisfied.

    Copilot Workspace Blog1 min read

  • NVIDIA Nemotron 3 Ultra

    NVIDIA Nemotron 3 Ultra is built for high-throughput reasoning and long-running agent workflows.

    Ollama Blog2 min read

  • The Growing Cost of Intelligence (Part I)

    This is Part I of a two-part series on rising AI costs. Part I covers why costs are rising, why they matter, and how enterprises should respond. Part II will explore what this means for investors.

    AI Musings by Mu16 min read

  • DigitalOcean Serverless Inference: A Deep Dive

    A deep dive into DigitalOcean Serverless Inference—how we built a scalable, API-first AI inference platform and the architecture powering it.

    DigitalOcean Blog16 min read

  • 5 Ways Businesses Are Using n8n to Automate Anything

    Want to automate your business? Book a free audit: https://calendly.com/dobotai/automation-audit In this video, I walk through the 5 most powerful ways businesses are actually using n8n to automate their operations, from lead capture and CRM sync to AI-powered content workflows, with real examples…

    Doby Lanete

  • Agentics Beyond Code

    What happens when you give PMs, compliance teams, and leaders their own agents? A tour of Agentics Beyond Code — an open-source set of GitHub Agentic Workflows for the non-engineering roles that ship, govern, and operate products.

    Copilot Workspace Blog8 min read

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