Find solid ground while AI keeps moving
Stop trying to master every new tool. Build a way of working that stays connected to your values, curiosity, and direction even when the technology changes.
The AI Salon Mastermind
A high-trust working community for people who are already using AI—and want their experiments to become intentional, distinctive work that actually feels like them.
Mastermind membership: $49/month or $500/year. Cancel anytime.
People doing real work with AI
There is no shortage of AI information. New courses, tutorials, tools, prompts, and product releases arrive every day. But consuming more of them does not automatically make you someone who can work effectively with AI.
A habit is simply showing up. A practice is showing up with intention—aligned to your values, grounded in curiosity, and willing to refine.
The AI Salon Mastermind is a practice-based space for people who want to build a conscious, ongoing relationship with their craft. The answer is not another course or an endless stream of tutorials. It is an environment where experimentation becomes practice—and practice becomes work you are proud to stand behind.

At the center
The Practice Lab is for professionals who are already using AI—and want to build a practice around it that actually feels like them.
Members arrive capable and curious. The problem is rarely a lack of tools. It is the fire hose of change, unfinished starts, impossible standards, uncertainty about what is worth pursuing, and the isolation of navigating a genuinely new landscape without trusted peers.
The Lab turns reactive AI activity into an intentional weekly practice: make something, notice where you are stuck, reflect on what the work is revealing, and return with people who are doing the same.
Stop trying to master every new tool. Build a way of working that stays connected to your values, curiosity, and direction even when the technology changes.
Replace the impossible standard you hold for your own work with generous accountability, honest feedback, and permission to begin before everything is polished.
Turn scattered experiments into a repeatable practice—one where reflection clarifies what you want, what matters, and what you are becoming.
“This isn’t a class or a lecture. We’re all going through this together.”— Mastermind member
A human-centered framework
Choose from your values rather than reacting to every new capability, headline, or fear of falling behind.
Explore without requiring an immediate ROI. Follow curiosity, cross the edges of your expertise, and leave room for surprise.
Notice what worked, what resisted, and what matters now. Inspiration fades; practice remains.
Mastermind members do not just talk about possibilities. They build, test, revise, and share what happens.
Expert-led workshops and working sessions
The Practice Lab is the connective tissue. Expert-led workshops and working sessions give members concrete ways to stretch their capabilities and turn ideas into something real.
Brandon Tidd led members from “this could be interesting” toward a functioning project: clarifying what to build, imagining and iterating, and crossing the line from idea to something real.
Across multiple four-week sprints, Cyndi Coon has helped members transform the fire hose of AI exploration into repeatable systems, creative protocols, rapid prototypes, and workflows they could use immediately.
Members have built micro-courses, digital twins, custom-merch concepts, and practical prototypes—with decks, instructions, replays, peer feedback, and room to keep developing after the live session.
An upcoming hands-on Codex workshop continues the same approach: practical building with a working guide, a real project, and peers who help turn a powerful tool into useful practice.
The point is not to copy an expert’s process. It is to use expert guidance and peer perspective to expand what you can make in your own voice and context.
Who this is for
You are learning, building, or experimenting with AI, but your activity may still feel scattered or reactive. You want a practice that connects the experiments and helps them compound.
You want trusted peers for the uncertainty—people who can say “I don’t know” while still showing up, making, and learning out loud.
Craft, ethics, identity, human creativity, and long-term development matter as much as speed or output.
You do not need to be an AI engineer, a technical founder, or an established expert. You do not need to have the answer. You need curiosity, a willingness to work, and the generosity to learn alongside other people doing the same.
AI is not going to settle down and wait for any of us to catch up. The durable capability is not memorizing today’s tools. It is learning how to practice, experiment, adapt, and build while the technology keeps changing.
Before you enroll
No. The Mastermind is practice-based. You bring real work, join live working sessions, reflect, test, revise, and learn in community. Workshops add practical instruction, but accumulating lessons is not the goal.
That depends on your practice: a prototype, creative work, workflow, service, micro-course, body of research, new offering, or something not yet named. The Mastermind helps you clarify it and keep moving.
You are not paying for access to more information; there is already an infinite amount of that. You are paying for an environment built around practice, access, accountability, experimentation, expert guidance, and people who are actively doing the work. Membership is currently $49 USD monthly or $500 USD yearly, and you can cancel anytime.
The Mastermind is designed to support an ongoing practice, not give you another curriculum to finish. Bring the real work already in front of you, use the live sessions and community to move it forward, and participate at a rhythm you can sustain.
You do not need to be an engineer or an AI expert. Curiosity, generosity, and a willingness to work in the open matter more. The room includes experienced practitioners and people crossing into new territory—and everyone is a beginner again when the technology changes.
From scattered experiments to intentional practice
Bring what you are making, where you are stuck, and what you are learning. Build alongside people who care about the work—and the human making it.
Spend real time in this environment and you are no longer trying to keep up with AI from the outside. You have a practice. You are building, testing, and adapting. And you are surrounded by people doing the same.
One offer. One working community. A place to keep becoming.