AI Garden Playground now. Hub next.
Theme

A calm place to get hands-on with AI

A playground for AI learning, testing, and research at Santa Fe.

Explore models, compare outputs, and build real confidence with AI in a safe, reviewable environment.

Playground now. Teaching, training, and research hub next.

Compare models side by side See differences in speed, clarity, and depth.
Make review visible Make draft state, uncertainty, and provenance part of the interface.
Build confidence before rollout Experiment safely before wider adoption.

What AI Garden does

One place to learn, test, and research.

AI Garden gives Santa Fe a shared environment to try AI on real tasks before those patterns spread across the college.

It starts as a playground, but it is designed to grow into a stronger teaching, training, and research surface.

Learn

Build practical AI literacy

Give students, faculty, and staff a guided way to build comfort fast.

Test

Compare tools and workflows

Make tradeoffs visible instead of treating outputs like a black box.

Research

Study real use

Develop evidence-aware practice for academic and operational contexts.

Who it's for

Designed for the people who will actually use AI at Santa Fe.

Students

Learn by trying and comparing.

See how outputs change across models, evidence, and review conditions.

Faculty

Explore teaching uses with guardrails.

Test course-safe workflows without skipping over scrutiny or context.

Staff

Try practical help on real work.

Use drafting, planning, and operations as test beds for responsible adoption.

First experimental surface

Start inside Model Lab.

Model Lab
Mode: compare + inspect Review: required before export

Playground to lab flow

Run one task across different models and compare what changes.

Prompt once, compare several models, and inspect clarity, tone, reasoning, and review posture.

Prompt once Compare many Review before share
Lens Clarity + reasoning
Source mode Curated pack
Share state Draft only

Where it grows

Start with a playground. Grow into a hub.

Begin with guided experimentation, then grow into training, evaluation, and research patterns the college can actually trust.

Now Safe experimentation
Next Shared training and review flows
Later Teaching, training, and research hub