SCOUT Omega
Course QA Pipeline
Automates first-pass quality audits and surfaces remediation needs.
Measured
56.4 min
Mean assisted human review per course across 42 timed reviews.
- Python
- Canvas API
- Airtable
- Railway
Course QA Pipeline
Automates first-pass quality audits and surfaces remediation needs.
Measured
56.4 min
Mean assisted human review per course across 42 timed reviews.
AI Course Authoring System
Draft and transform learning materials into Canvas-ready courses with WCAG 2.1 AA and ASU Design standards embedded.
Self-reported
35+ onboarded
Instructional designers onboarded; 18 report active use in a team poll.
Automated training evaluation reporting and L&D data analysis system.
Measured
44.49% to 69.17%
Survey participation after 5 months in production, a 55% increase.
I extended an alt-text experiment into page-level accessibility checks.
Result
Handed off
I donated the code to another high-impact project.
I built a safer authoring environment after editing live Canvas courses myself.
Result
Merged
Its successor, ID Workbench, was merged into the AI Course Authoring System.
An AI-supported de-escalation simulation where trainers practice a difficult conversation.
Result
Rated 4 out of 5 by the leaders and trainers who used it. A live AI employee pushes back, and the learner passes only after meeting all four de-escalation criteria.
Prompt practice with live grading across five dials, built as the practice half of the prompt engineering pair.
Result
Optional practice, rated 5 out of 5 by the associates who signed up for it. Learners draft a prompt and a live model grades it, rewarding iteration.
A branching leadership scenario with ten endings, so managers feel the consequence of a call.
Result
Eleven of 12 managers reported confidence applying what they learned, and all of them said they enjoyed it and wanted to repeat it.
One tight module taking a beginner from AI terms to functional prompt engineering, scoped to a single outcome.
Result
Post-survey, 80% strongly agreed they understood how AI works and felt more confident using it at work.
MUS 354: The Beatles
With Dr. Christi Jay Wells, consulted 1:1 in an assessment redesign workshop to rework Module 1 and 2 assessments with evidence-based AI-resistant prompting.
IAL 598: The U.S. Intelligence Community in Practice
With Anthony Hale, retired Deputy Chief of Staff for Intelligence, built an AI-forward intelligence elective.
AI and the Law
With Sean Harrington, Director of the AI and Legal Tech Studio at the Sandra Day O'Connor College of Law, built an AI-forward tech application course.
STP 530: Applied Regression Analysis
With Dr. Yi Zheng, Associate Professor in the School of Mathematical and Statistical Sciences, built a project-based online course using statistics and R.