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7.7
@claydunker
Elementary School Teacher
AI Fluency Score
7.7/10
Assessed 12/1/2025
Velocity
Legacy AI Cred score
This score uses an earlier AI Cred rubric. The dimension labels below match that rubric.
Prompt Mastery
8.0
out of 10
Technical Understanding
7.5
out of 10
Critical Evaluation
8.5
out of 10
Practical Application
8.0
out of 10
Generated 12/1/2025
Clay Dunker is a K-12 educator and credit union manager who builds production systems that solve real problems—a behavior tracking app for special ed teachers, a complete financial system rebuild, custom GPTs that compress his credit union work by 60%. His approach combines sophisticated prompt architecture with rigorous verification practices, using multi-LLM triangulation and adapted academic frameworks to ensure outputs he can trust.
What sets Clay apart is his ability to transfer complex AI workflows to others. He's already trained kindergarten teachers to build custom GPT-to-voice pipelines—turning his expertise into organizational capability. With high learning velocity and AI integration extending into every domain of his life, he's positioned to shape how his institutions adopt AI at scale.
Workflow Design
6.0
out of 10