Why this exists
Most AI education leaves people with a vague mental model. They may understand that a model can generate language, but not why trust changes once that output enters a real process.
About
Built from the system layer most AI conversations skip.
The Human LLM was created to offer a more useful way of learning about AI: one that makes system behavior visible inside workflow instead of treating AI as an abstract black box.
What the simulation adds
By turning participants into the system itself, the experience makes coordination, review, guardrails, and failure modes easier to understand and discuss.
Where the perspective comes from
The work is informed by clinical care, enterprise systems, workflow design, and hands-on AI implementation, with a particular focus on high-trust environments.
Perspective
Where the perspective comes from.
The Human LLM was developed by a practicing clinician whose work sits at the intersection of clinical care, workflow design, enterprise systems, and responsible AI adoption. The simulation exists because most conversations about AI skip the system layer.
Focus areas
- AI adoption in healthcare
- Workflow-centered AI design
- Simulation-based education
- Safety, trust, and human review
This project reflects independent educational work.