Val Verde Studio
Applied AI cohort
A cross-role cohort of teachers and site administrators, learning to work with AI at an advanced level, so the people closest to students decide from experience.
Val Verde is deciding what its graduates need to be able to do, in a job market these tools are reshaping. The Studio puts the people making that decision inside the technology first: a year of real use, on your own work.
No generic training. Every session works on a tool you actually need, using district workflows. By the end of each session, something useful is ready to put to work. The proof is useful work, not seat time.
Our graduates enter a workforce being reorganized around these tools. The people setting curriculum, pathways, and expectations should know the technology firsthand rather than from headlines. That judgment is what a year of real use buys.
The capability grows through repeated practice. You leave able to make the next useful thing, explain the method, and help the work travel beyond one person or team, from one classroom or office to the next.
Each working session moves a real piece of district work forward. Research the problem, build and test the response, then make the result understandable enough to share and improve.
Map the recurring work, the people involved, the source material, and the friction worth solving. Start with the work as it actually happens.
A precise problem is the first build decision.
Turn the problem into a working dashboard, presentation, application, or workflow. Test it with the people and conditions it needs to serve.
The work becomes useful through evidence and revision.
Make the result visible, explain what changed, and identify what another site or team would need to adapt it responsibly.
The useful pattern matters as much as the finished artifact.
Begin with a real workflow. Build something people can open, use, and improve. Choose a category to explore the quality and depth participants can build toward. Every example below is illustrative: the numbers, records, and slides are sample content, not Val Verde data.
A synthetic operating view joining priorities, dependencies, decisions, and follow-through.
The read: seven items are ready for decision; the only shared bottleneck is ownership on two cross-team dependencies.
DEMO-1047 · District Office · Operations · added to the local coordination queue.
Opening the workflow desk…
The submitted values now drive the first queue row, the counts, and the workload read.
Your request: the sample record landed in Operations with a This week priority; the queue and category count moved with it.
Val Verde-styled prototypes · All dashboard and application content is sample data · No Val Verde records are shown
Participation is voluntary and selected across roles and sites. Teachers, principals, assistant principals, coaches, and TOSAs work the same campus problems together.
Classroom teachers, department chairs, and grade-level leads using these tools on planning, assessment, and family communication, and helping decide what students should be able to do with them.
Site leaders across our elementary, middle, and high schools, plus Val Verde Academy and the Adult School, building dashboards, communications, and workflows around the work schools actually need to manage.
Site-based coaches and TOSAs who help a practice move from one classroom to the next, and from one campus to another.
The Karst AI Leader Track is a proposed applied pathway for people leading real work with AI. This section remains private until Val Verde Unified approves the public standard.
A documented AI workflow operating in your actual role.
Three or more tools in use at your site or department.
One session where colleagues learn the method from you.
A capstone shared with district colleagues.
Track 01 · Applied Practice
The Karst AI Leader credential is a proprietary professional-learning designation. It does not confer academic credit, professional licensure, or third-party accreditation, and it does not represent a determination that any person, tool, or system is safe or compliant.
The cohort is selected across roles and sites. Tell the review team who you are and which recurring piece of work you want to make better.
You will identify your role and site, describe one recurring piece of work worth improving, and confirm the participation and technology commitments.
Open the Application