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10.0
@shawnmcburnie
Applied AI Engineer
AI Fluency Score
10.0/10
Assessed 7/21/2026
Velocity
2026 Skills-Era score
Scored across five practical AI skill dimensions: direction, model literacy, verification, application, and workflow design.
AI Delegation & Direction
9.4
out of 10
Technical & Model Literacy
9.3
out of 10
Verification & Judgment
9.5
out of 10
Practical Implementation
9.2
out of 10
Applied-AI engineer with a published evaluation-methodology portfolio and 20 years of system engineering, now focused on raising the reliability of agentically enabled work for myself and others.
Co-founder and engineer of the Veridi / Pragma / Praxis methodology suite: three methodologies addressing fact checking, fact-based policy suggestions, and identification of personal action opportunities. Veridi runs a 7-stage FastAPI + Anthropic SDK pipeline backed by a ~2,000 line product specification with Murphy-decomposed Brier calibration; in invite-only beta.
Founder of NetterTech, applying the same evaluation-and-governance discipline to construction of a performant commercial WordPress plugin suite gated by well over 10,000 mutation-validated tests; base plugin is free on WP.org: NetterTech Events.
Author of over 80 Claude Code skills with test contracts, with a focused exemplar harness published on GitHub.
Generated 7/26/2026
Workflow, Skills, Agents & Harnesses
9.0
out of 10