Most people aren’t aware, but there is something new getting ready to happen on campus. For our team, this is the quiet before the storm right now. Those of us working toward this have a quiet energy about us, the kind that comes with anticipation and a sense that something big is about to unfold. Over the past few months, we’ve been quietly working with teams across Enterprise Technology, ITLC members, Microsoft, and CloudForce to bring a new platform to life. It has been designed to put artificial intelligence directly into the hands of our community. We’re calling it UT.AI Spark, and while it’s still in preview, the excitement is already building as more and more people get a chance to explore what it can do.
What’s interesting about Spark isn’t just the technology (though, yes, it’s powerful and flexible and all the things you’d hope for in a modern AI platform). It’s the way we’re approaching this launch. Instead of flipping a switch and calling it done, we’re inviting people in early, listening closely, and letting the platform grow in response to real needs and real feedback. Our partners at CloudForce are right there with us, each request turning into a, “what if we could create …” conversation to see how we can make it happen. It’s a little bit messy, a little bit experimental, and very much in the spirit of how I prefer to do things: open, transparent, and always focused on what’s actually useful for students, faculty, and staff.
What we plan to release in the next month or so is a stable and robust 1.0 version of our own OpenAI deployment that all of us can use. It means there will be a roadmap articulated so the community can help us go from 1.0 to 1.1 to 1.2 and so on.
Already, early adopters are finding creative ways to use Spark, from analyzing data in new ways, to brainstorming lesson plans, to simply asking better questions, to creating custom agents to do their bidding. And as each new group comes on board, the community around Spark is starting to take shape. There’s a lot of curiosity, a healthy dose of skepticism, and a genuine desire to figure out what responsible, meaningful AI use looks like in a university setting.

As the fall semester rolls around, everyone at UT will have access. That’s when things will really get interesting. We’ll have workshops, training, and plenty of opportunities for people to share what they’re learning. But even before that, the most important work is happening now: listening, iterating, and building something that feels right for this campus.
If you’re curious, keep an eye out for updates and invitations to try Spark for yourself. And if you’re already part of the preview, thank you for helping shape what comes next. This isn’t just about rolling out another tool, it is about starting a conversation and seeing where it leads. I can’t wait to see what we create together.