SOURCE-LINKED INTELLIGENCE
Agents for Everyone: A Workshop Framework for Building Agentic AI Capabilities in a Distributed Curation Community
Agentic AI has the potential to accelerate curation of biological databases and knowledge bases. However, uptake has been hindered by a number of challenges and obstacles, including access to agents and appropriate training. Here we describe how we have attempted to address and mitigate these challenges and obstacles through the deployment of a cloud-based agentic environment, and the development of an interactive training workshop for the Gene Ontology Consortium. Our cloud environment for agentic-assisted curation was based on the JupyterHub platform, and utilized Claude Code as a universal
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-27T20:05:49.000Z
First collected: 2026-09-21T08:32:02.028Z. This is not the publication date.