Context engineering is the practice of deliberately designing an information environment for an AI to operate within. The key distinction between prompt engineering (PE) and context engineering (CE) is that PE is centered around asking smart questions while CE is about building smarter environments for the AI to work in.
f you’re receiving this email, you’re an official member of the AI4RA Community of Practice, a listserv connecting research administrators, IT personnel, data scientists, and AI engineers from across the country. With AI evolving as fast as it does, having a community to turn to with questions, ideas, and hard-won lessons makes a real difference.
One of the most common questions we hear from institutions exploring Vandalizer deployment is “What hardware do we actually need?” and the Cluster Configurator addresses exactly that.
This year’s NCURA Region VI/VII Annual Meeting, themed “Saddle Up for Success,” convenes research administrators from across regions VI and VII (and beyond) to tackle the shifting regulations, technologies, and expectations shaping research administration.
Come learn directly from the AI4RA team!
Want to learn more about how to incorporate AI safely and effectively into your sponsored programs office? Learn directly from AI4RA team members at the upcoming 2026 AI Symposium and Annual Meeting hosted by the National Council of University Research Administrators. We’d love to see you there!
MindRouter is an AI gateway developed by Luke Sheneman at the University of Idaho’s Research Computing and Data Services (RCDS). It is freely available for you to install and use under an open-source software license. It sits as a middle layer between tools like Vandalizer and the AI models that power them, routing requests across a cluster of GPU servers and providing a single, reliable access point for running large language models on university-controlled infrastructure.
The Prior Approval Requirements Tracking Workflow reads through agreement documents and produces a comprehensive Prior Approval reference document. It extracts information on activities that require sponsoring agency authorization, including budget-related approvals, scope and timeline changes, and administrative approvals.
The Effort Reporting Compliance workflow analyzes federal award documents and produces a structured Effort Compliance Brief.
The FFR Management Extraction workflow is an AI-powered tool in Vandalizer that analyzes federal award documents and extracts everything you need to manage your Federal Financial Report (FFR/SF-425) obligations. This workflow processes federal award documents, such as award notices, cooperative agreements, or award terms and conditions, and it produces a structured, markdown-formatted reference
The Subaward Agreement Extraction workflow is a Vandalizer post-award tool that reads subaward agreements and pulls relevant data for award setup and monitoring all in one run. It processes subaward agreements, pass-through entity documents, and subaward modifications, handling documents of varying length, including attachments and referenced terms.