We went and asked. Here is what we found.
Praxys began with discovery, not assumptions. We spoke with the people living the shift — students, faculty and working professionals — to understand how AI is quietly reshaping human capability.
STEM students interviewed
University professors consulted
Industry professionals
Faster output, weaker retention.
Work is submitted faster — but explaining the core concept becomes much harder, and retention drops significantly.
Deeper dependency.
Code writes itself. Engineers grow dependent on AI and lose confidence modifying what it generates — without tracking capability.
Zero visibility.
Organizations see output rise but cannot see skill growth or AI dependency. Faculty cannot evaluate AI-assisted learning quality or depth.
Across every group, one finding held: no existing tool measures learning — only output.
Nothing else measures capability.
| Platform | Analytics | Capability | Coaching | Privacy-first |
|---|---|---|---|---|
| ChatGPT | Output only | — | — | — |
| Claude | Output only | — | — | — |
| Traditional LMS | Basic | — | — | Varies |
| Productivity tools | Partial | — | — | — |
| Praxys | Advanced | ● | ● | ● |
Feature analysis based on publicly available product documentation, Q1 2025. Praxys does not compete with AI assistants — it makes them measurable.