Participants supported
People who receive AI literacy, tutoring, training, or workflow support.
Impact roadmap
Early-stage accountability without pretending the numbers are mature.
Last27 will publish real outcomes as programs develop. Until then, this page names the measures that matter.
What we will measure
Proof will come from practical capability, not claims.
The right metrics should show whether people and mission-aligned organizations are getting support, building AI confidence, applying new workflows, and creating credible paths forward.
Practice hours
Time spent with participants across office hours, workshops, reviews, and guidance.
Scholarships funded
Seats created through donations, grants, and sponsorships.
Course completion
People who complete structured courses, tutoring tracks, or cohort milestones.
Work examples
Artifacts and workflow examples participants can use to show their skills and judgment.
Outcomes
Confidence gains, introductions, interview referrals, placements, contracts, or other career movement.
What we will not claim yet
Honesty is part of the trust model.
Last27 should not imply mature placement numbers, large cohorts, or guaranteed outcomes before those results exist. Early reporting should distinguish intent, activity, and verified outcomes.
Fund measurable work
Sponsors can help create the data Last27 should eventually publish: scholarship seats, mentorship hours, cohorts, events, and participant outcomes.
Donate Sponsor access