MillerKnoll AI
AI Leverage

Being first means mapping the platform yourself.

HR Studio’s leverage wasn’t just the toolkit it delivered — it was the platform knowledge it produced. Charting an undocumented format and writing it down turned one build into a head start for every build after it.

Clone + diff the live agent
undocumented → charted

Reverse-engineering with the tooling

Rather than wait for docs, AISE used the tooling against itself — repeatedly cloning the deployed agent after each change and diffing the artifacts to empirically chart how the new experience serializes to disk.

Found by testing answers
instructions stripped

The .zip gotcha

A skill uploaded as a .zip silently loses its instructions at runtime — the model sees only the name and description. Only a bare SKILL.md inlines the methodology. Nothing documented it; it showed up only in the live agent’s answers.

Knowledge as a component
team-wide

Findings → a reusable build guide

The hard-won format knowledge became AISE’s internal new-experience build guide — the reusable-components philosophy applied to platform knowledge itself, so the next build starts from a working reference.

Career Framework
confidence-scored

Deterministic grading on the framework

Grading is grounded in MillerKnoll’s Career Framework and returns a confidence score, title alignment, and clarifying questions — turning a subjective judgment call into a consistent, defensible output.