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North Star

How we hold ourselves accountable to you.

The Promise​

Applied AI Society exists to empower leaders to apply the world's most advanced AI technologies responsibly to strengthen their businesses, communities, and humanity's collective future. The name for that work is applied AI: deliberate, human-led deployment of AI in service of what a person or organization is actually trying to build, commercial or otherwise. We do this through three initial core offerings: Jarvis workshops (the hands-on path), this public documentation site (the base layer of applied AI literacy for humanity), and local community chapters (the hyperlocal spaces where fluency compounds, because AI fluency and mastery are built in community). The people we train go on to prosper themselves, lift their communities, serve the public interest, and hold the physical infrastructure of AI to account. Every event, every playbook, every connection in the network should serve that mission. So the question we keep asking ourselves is simple: are we actually doing that?

What We Measure​

Not attendance. Not follower counts. Not content impressions. Those matter as leading indicators, but they're not the point. The outcomes we track are the ones that show the three pillars are working.

Jarvises delivered. Every person who walks out of a Supersuit Up workshop with a working Personal Agentic OS on their laptop and keeps using it. This is the most direct measure that Pillar 1 is doing its job.

Literacy reach and derivative work. Every chapter, university partner, or community that takes our open documentation and runs their own programming from it. This is how Pillar 2 scales: through everyone who uses the base layer to teach their own communities, rather than through us alone.

Active chapters and recurring local practice. Chapters running events on a real cadence, chapter leaders getting trained, participants coming back. This is how Pillar 3 delivers on the thesis that AI fluency and mastery are built in community.

Opportunity matches. Introductions we make between practitioners and the people who need their help. Every consulting gig, freelance contract, startup collaboration, or full-time role that flows through the network counts. The moment someone gets connected to their first (or next) applied AI engagement because of this society, that's a win. This metric cuts across all three pillars.

Events pull people into the applied AI economy. Content builds awareness. Playbooks build capability. But the thing we actually track is whether those inputs lead to real outcomes for real people.

Why These Metrics​

The Canon says efficiency is a tool, not the goal. The goal is more human-only work in the world. Our Principles say business outcomes over technology fascination.

Jarvises, literacy reach, active chapters, and opportunity matches sit at the intersection of both. Getting someone their Jarvis puts real leverage in real hands. Seeding derivative courses puts the base layer into the hands of communities we could never serve directly. Active chapters are where the literacy actually compounds into mastery. Matching a practitioner with a client puts a real person in a position to do real work that matters. That's the path we're building: from “I want to do this” to “I'm getting paid to do this,” and the same path for founders, operators, and creatives who want their own lives to 10x through applied AI.

What Counts​

  • A person walks out of a Supersuit Up workshop (or finishes the online course, once it ships) with a working Personal Agentic OS they actually use
  • A practitioner gets connected with a company or individual who needs AI implementation help
  • Someone lands a freelance, contract, or full-time applied AI role through the network
  • A young person gets matched with an apprenticeship or first AI project
  • A chapter leader, university, or community launches their own applied AI literacy programming using our open docs as source material
  • Any introduction or doc use facilitated through the society that leads to a real outcome

If you've gotten a Jarvis, an opportunity, or launched derivative programming through the Applied AI Society, we'd love to hear about it. Your story helps us understand what's working and helps the next person see what's possible.