Val Verde Studio
Advanced AI studio
A yearlong advanced AI studio for educators. Learn the technology firsthand, build with it at increasing depth, and examine what it changes for students, schools, work, and society.
Contemporary AI can research, reason across sources, work with images and data, use tools, write software, and carry work across multiple steps. The Studio begins inside that new reality.
Participants build agents, research systems, automations, and working prototypes. Each build makes the possibilities, limits, and role of human judgment more concrete.
What is learned returns to classrooms, school teams, and district work as better questions, working ideas, and a more informed practice.
Enter the StudioThe people shaping what comes next should know AI firsthand.
Val Verde Studio creates sustained time for advanced practice. Participants study how contemporary AI works, make increasingly ambitious things with it, and develop an informed view of its consequences for learning and life beyond school.
The goal is not familiarity with a collection of tools. It is a capability that stays with the educator as the technology continues to change.
Explore two synthetic examples of the work advanced AI can support: a body of evidence made legible and a multi-step process that carries context from request to response. These are demonstrations of capability, not a promised curriculum or finished Val Verde product.
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 · Citrus Hill High School · Instructional support · 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 Instructional support 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
Building does not settle the educational questions. It gives educators enough experience to ask them with greater precision.
The Studio advances through one sustained arc. Technical understanding leads into ambitious construction. Construction creates the ground for a more informed educational practice.
Models, context, multimodal work, retrieval, tools, evaluation, failure modes, and the role of human judgment.
Agents, research systems, automations, AI-assisted development, and working prototypes shaped through testing and revision.
A finished body of work, a considered point of view, and the ability to keep building as the technology moves.
Classroom teachers, site leaders, coaches, and district staff bring different vantage points to one shared practice. The common ground is curiosity, sustained effort, and a willingness to make.
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.
Begin with a question, a possibility, or something you want to make. What matters is the commitment to serious practice.
Share what you want to understand or build, where the work might matter, and your commitment to the Studio’s yearlong practice.
Apply to the Studio