A private working community for AI leaders
AI leadership starts with people willing to check each other’s work.
A working room
A shared purpose
Founding contributors
Co-convened byCheryl + Nick
AI LEADERSHIP●PRACTICAL EDUCATION●CANDID EXCHANGE●SHARED STANDARDS●PUBLIC UNDERSTANDING
Why calibration
Six reasons leaders need a room like this.
AI adoption is moving faster than shared understanding.
- 1994The Internet spread before most people could explain it.
- TodayAI is following the same pattern, with greater consequences for organizations.
Clearer judgment
Separate evidence from repetition and noise.
Earlier correction
Find weak claims before they go public.
Broader perspective
Compare what leaders see from different roles.
Faster learning
Track what works, fails, rises, and fades.
Better education
Explain AI accurately at every level.
Trusted collaboration
Work with peers who value candor and discretion.
Inside the room
Not another network.
A working rhythm.
Regular conversations. Direct feedback. Shared public work when it serves the larger conversation.
Compare
What is working across real implementations
Challenge
Claims, assumptions, numbers, and received wisdom
Translate
Complex AI practice into useful public education
Create
Podcasts, live sessions, field notes, and shared tools
Co-convener 01
Cheryl K. Goodman
Technology executive, author, journalist, and AI educator. As CEO of FindGood.Tech, Cheryl focuses on practical AI implementation, workforce education, and helping nontechnical leaders understand what emerging technology means for people and organizations.
LinkedIn profile ↗
Co-convener 02
Nicholas Dreyfus
Nicholas has worked in technology since 1996. At 17, after a software provider went out of business, he rebuilt the database his employer depended on. That early responsibility shaped a 30-year career solving consequential technology problems across infrastructure, cybersecurity, business systems, and AI adoption.
LinkedIn profile ↗Education at every scale
One field.
Different realities.
Solo practitionerGrowing teamMid-market organizationGlobal enterprise
Responsible AI education cannot be one-size-fits-all. The community connects perspectives across the full range of organizations so public guidance reflects the constraints people actually face.
The founding format
A founding cohort,
not a permanent ceiling.
The first 10 to 15 members will establish the working standard. Candidates will be interviewed and selected for their experience, judgment, and willingness to contribute. Participation will be reviewed periodically as the community grows.
10 to 15Founding members
InterviewedBefore selection
RenewedThrough ongoing fit
ExpandedAfter the standard is proven
The aim is to grow beyond the founding cohort with care, while helping more people understand what AI can do, what it cannot do, and how to use it productively.
Founding group
Bring what you know.
Bring what you are still questioning.
We are looking for experienced AI leaders who care about better practice, clearer education, and a professional community built on contribution.
Request an invitation ↗