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  3. Getting Started with LoomAI: A Visual, AI-Powered Interface for FABRIC Experimentation | Mastering FABRIC: Tips and Tricks
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  3. Getting Started with LoomAI: A Visual, AI-Powered Interface for FABRIC Experimentation | Mastering FABRIC: Tips and Tricks

Getting Started with LoomAI: A Visual, AI-Powered Interface for FABRIC Experimentation | Mastering FABRIC: Tips and Tricks

Date: May 19, 2026

Time: 3:00-4:30 PM ET

Join us on May 19, 2026, from 3:00–4:30 PM, for an engaging FABRIC Tips & Tricks webinar introducing LoomAI, a new open-source, browser-based interface that transforms how researchers interact with the FABRIC testbed. As the newly recommended way to use FABRIC, LoomAI replaces traditional command-line and Jupyter notebook workflows with an intuitive, visual, point-and-click experience—making it easier than ever to design, deploy, and manage experiments.

During this session, we will showcase LoomAI’s powerful drag-and-drop topology editor, enabling users to visually build and configure network experiments and deploy them across FABRIC’s nationwide and international infrastructure. Attendees will also get a walkthrough of built-in tools—including SSH terminals, a file manager, and a geographic resource map—that streamline experiment management within a single interface.

We’ll also highlight LoomAI’s integrated AI capabilities, including an AI assistant that supports experiment design, troubleshooting, and analysis, along with advanced AI coding tools for deeper development workflows. Additionally, discover “Weaves,” reusable, automated experiment packages, and explore the Artifact Marketplace for sharing and reusing community-driven templates.

All AI features are powered by models hosted on FABRIC, ensuring a secure, research-focused environment with no reliance on commercial infrastructure.

Whether you’re new to FABRIC or looking to modernize your workflow, this webinar will show you how LoomAI can accelerate your research and simplify experimentation from start to finish. Register Here

Updated on April 27, 2026

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