Build Your Jarvis In Community
Building your Jarvis compounds. So does giving up. Community is what keeps you on the compounding side of that line.
The Honest Question
The most common thing I hear from someone a few weeks after they get started:
"I've only touched this thing once since we met two weeks ago. I know it compounds. I know it's powerful. I'm just not doing it consistently. How do I crawl, walk, run here?"
That is a great question, and the honest answer starts with this: you are not going to sustain this alone. Not because you lack discipline. Because the shape of the work is adversarial to solo practice. It compounds slowly, the feedback loop is long, and your default tools (ChatGPT in a browser tab) will always feel easier in the moment.
The Two-Path Trap
Most people feel like they have two options:
- Go all in on the harness-and-files path. Powerful, sovereign, skills that transfer. But the learning curve is real and the daily commitment is non-trivial.
- Stay with ChatGPT. Zero friction. Pleasant UX. No accountability about whether you're actually getting better.
Alone, option 2 wins almost every time. Not because it is better. Because it does not require you to show up.
There is a third path that most people miss: build your Jarvis alongside other people who are building theirs.
That is the one that actually works.
Why Community Changes the Math
Five mechanisms, all of which show up in Supersuit Up workshops and the local chapters that grow from them.
Inspiration. Watching someone update their Jarvis in real time turns "I should probably do this" into "I want to do this now." The distance from abstract understanding to concrete practice is enormous. Seeing a peer cross it collapses that distance.
Questions become materials. When you have no one to ask, questions stay stuck in your head. When you have a group, your (never actually dumb) questions become the next skill file, tutorial, or doc page. Every person who asks "wait, how do I actually process a Granola transcript?" is writing the onboarding for the next ten people. This is how Applied AI Society becomes the base layer for applied AI literacy: questions converted into shared artifacts.
Accountability. "I'll spend 30 minutes a day on my Jarvis" is nearly impossible alone. It becomes easy when you know you will sit down next Thursday with people who expect you to have updated your context lake this week.
Friendly competition. Chapters, cohorts, and study groups create the beautiful thing where two people's progress actively pushes each other forward. One person ships a personal website. The next person ships a meeting-prep skill. The third person takes both and adds something new. Everyone ratchets up.
Culture. The hardest part of this work is not technical. It is cultural. Most of your friends and colleagues are passively using AI in ways that are counterproductive at best, addictive at worst. Being embedded in a culture where everyone is leveling up their Jarvis gives you a baseline of normal that pulls you upward instead of downward.
We Are All Cyborgs
Five years ago, Elon Musk said something on Joe Rogan that stuck with me: we are already cyborgs. Human plus smartphone. Human plus laptop. Human plus social media accounts. Our tentacles extend into the internet whether we like it or not.
The question is no longer whether we are augmented by technology. We are.
The question is whether we are consciously augmented. Most people are using technology in ways that hurt them: addicted to scrolling, addicted to outrage, addicted to content that degrades rather than builds. That is the unconscious cyborg.
The hyperagent is the conscious cyborg. Someone who has deliberately wired up their tools to amplify the things that matter: their strategic thinking, their relationships, their ability to serve their family, their community, their mission. Someone who has crossed from "tech is happening to me" to "tech is something I direct."
Building your own Personal Agentic OS is the single most concrete move you can make toward becoming a conscious cyborg. Doing it in community is how you actually stay conscious about it.
What This Looks Like At Scale
The vision we are working toward:
- Every university has a chapter where students build their Jarvises week after week. Sharing skill files. Sharing personal-website templates. Sharing interview-prep workflows. Graduating with a working Personal Agentic OS they have compounded for their entire time on campus.
- Every applied AI community has a weekly co-working session where people bring their Jarvises to the room and update them together.
- Every chapter contributes back to the open core of documentation. Their questions, frustrations, breakthroughs, and skills flow back into the public docs so the next person who starts has a shorter path than the last.
- Friendly competition between chapters on who can ship the most useful skills, the most beautiful workflows, the most activated members.
UT Austin can become the most Jarvis-fluent campus on earth. So can a campus in Lagos, Manila, or Bordeaux. Once the first group of people crosses the commitment curve in one place, they pull the next cohort across behind them.
If this energizes you, see launching on campus or starting a chapter.
Crawl, Walk, Run
Concretely, for an individual just starting:
- Crawl (weeks 1-4): 30 minutes a day. Start your day in VS Code. Brain dump. Update one file. Process one conversation. Do not optimize. Just show up. Join one community session a week.
- Walk (months 2-3): An hour a day. Start processing every meaningful conversation, updating relationship files, writing your first custom skills. Share one thing you built each week in the community.
- Run (month 4+): You reach for your Jarvis before almost any decision, email, or strategic question. You write skills for workflows you do twice. You teach someone else what you just learned.
Community compresses this timeline. Accountability compresses this timeline. Watching a peer ship something you wanted to ship compresses this timeline.
The New Literacy
The line I keep coming back to: this is the skill that is akin to learning how to read and write in 2026 and beyond.
You would not try to learn to read alone, in a dark room, with no teacher, no classmates, and no books. You would find a class. A cohort. Peers. A teacher.
This is the same thing. The stakes are just higher, the pace is faster, and the upside is uncapped.
Find your people. Build your Jarvis together.
Further Reading
- Co-Teaching Is the New Self-Teaching: Why the self-teaching era is over, from a different angle
- Hyperagency: The conscious cyborg endgame
- Personal Agentic OS: What you are actually building, in community
- Agentic Strategy: Why the work of building your Jarvis is high-leverage
- Agentic OS Debt: What happens when you stop showing up
- The Encounter: The moment AI stops being theoretical and becomes personal
- Activation: Getting someone to the aha moment
- Learn the Harness, Not the Wrapper: The technical foundation this doc rests on
- Starting a Chapter: Turn this into a local community
- Launching on Campus: The student-chapter version
- Supersuit Up Workshop: The in-person activation