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6.5
@jeffstoner
Senior DevOps Engineer
AI Fluency Score
6.5/10
Assessed 2/20/2026
Velocity
Legacy AI Cred score
This score uses an earlier AI Cred rubric. The dimension labels below match that rubric.
Prompt Mastery
7.5
out of 10
Technical Understanding
5.8
out of 10
Critical Evaluation
6.8
out of 10
Practical Application
6.0
out of 10
Workflow Design
5.0
out of 10
Generated 2/20/2026
Jeffrey Stoner is a Senior DevOps Engineer based in Northern Virginia with a sharp, self-taught command of AI-assisted development.
Jeffrey builds with a layered persona technique that stacks language, framework, and codebase-specific roles to drive higher-quality model output. He architects prompts through a disciplined structure of role assignment, context layering, and constraint bounding, and applies surgical iteration that isolates problem areas without disrupting working code. His verification instincts are rigorous, extending established engineering practices like unit testing and static analysis to every piece of AI-generated output.
These capabilities position Jeffrey to lead AI adoption within DevOps teams, particularly as agentic workflows mature and demand practitioners who pair prompting sophistication with strong oversight discipline.
The gap between his intuitive skill and his yet-to-be-documented systems is where his next leap lives.