I created Vera — the Virtual Experiential Results Agent — to answer a question that’s guided much of my work as an educator and instructional designer:
How do we make learning visible, measurable, and deeply human?

For years, I watched students and professionals grow in ways that traditional assessments could never capture. They gained confidence, resilience, and voice — but those transformations disappeared in spreadsheets and completion data. Reflection, the heartbeat of real learning, too often became an afterthought.

I built Vera to change that. She guides users through a simple, empathetic conversation grounded in Kolb’s Experiential Learning Cycle — helping them describe what they learned, how they applied it, and how confident they feel moving forward. From those reflections, Vera calculates a Learning Impact Score (LIS), turning metacognition into measurable insight.

But Vera is more than a tool. She’s a prototype for what I believe is the future of learning design: experiences that honor both data and humanity. She demonstrates that AI doesn’t have to replace educators — it can amplify reflection, empathy, and agency.

Building Vera allowed me to merge everything I value — the empathy of teaching, the rigor of instructional design, and the storytelling of reflective practice. She’s not just a project; she’s a manifestation of the kind of learning I believe in: self-aware, evidence-based, and deeply personal.