Solving Real Problems
The most meaningful learning technology doesn't show off. It solves something. These projects began with real problems: new employees who couldn't find answers, learners who needed feedback a human couldn't scale, and organizations asking what responsible AI actually looks like in practice.
OpenAI in Storyline 360
(2025, published in Training Industry, with Jennifer Chien):
Integrated the OpenAI API directly into Articulate Storyline 360 to deliver personalized AI feedback on learner responses in suicide prevention and leadership styles modules; presented to and approved by the Cincinnati Children's AI Governance Council. Evaluated by 17 expert reviewers (instructional designers and suicide prevention SMEs); 87.5% rated the AI feedback favorably overall, with 94% rating it sensitive to the subject matter and actionable beyond the module.
AI Agent Exploration
Built two custom agents using closed-source documentation and detailed prompt-based guardrails: the NEO Agent, which answers onboarding questions new employees encounter in their first two weeks and is designed with extensibility for additional audiences such as hiring managers; and "Chat with Carly," which explored conversational AI as an interactive portfolio format, drawing from resume, cover letter, and interview content to create a hands-on alternative to a traditional candidate profile.
Judge, Digital Innovation Challenge
Served as an HR representative and judge in a hackathon-style competition where cross-functional teams collaborated to solve real problems identified by IS and HR. Evaluated submissions against a detailed rubric assessing innovation, design quality, and applicability to the identified problem; built ongoing relationships with IS leaders and employees through the process.
