Slides, notes, video, links, prompts, and produced materials.

Test the path before scaling.
The pilot tests whether Sweetgrass can capture what happens, preserve decisions, and improve the participant workflow before wider launch.

First session agenda
Why Sweetgrass, why now?
What are people already carrying?
What would have to be true?
From ideas to intervention candidates.
What should Sweetgrass remember?

What was decided, deferred, assigned, or elevated for approval.
Recurring concerns, strategic prompts, assumptions, and unknowns.
Follow-ups, owners, experiments, workshops, and next build needs.
Launch only to participants and stakeholders for the first event.
Organize inputs, decisions, feedback, and open questions from the event.
Correlate patterns across audit answers, sessions, reviews, and follow-ups.
Test one improvement to the repository, engine, or participant workflow.
Make the go, no-go, or adjust decision with evidence.
Turn shared inputs into accountable next moves.
This is the system layer behind Sweetgrass: repository inputs, decisions, tags, and follow-up needs can start in a governed Sweetgrass Workspace or shared Drive, then feed a local knowledge layer before anything sensitive is summarized, correlated, or routed through external AI tools.
Open example enginePilot guardrail: live collection, AI summaries, analytics, and correlation claims wait for approved data rules.