Deborah Sherman’s at her desk in Denver when the avatar closes another pitch. It wears her face, speaks in her cadence, and works through the night without her. Across her screen, True Prospects is live, taking payments, delivering intelligence reports on donor prospects, and writing personalized outreach emails for under $500 a run.
“Six months ago, I could not have built this,” she says of the AI-powered donor-matching tool she built for nonprofits. “I would have had the idea. I would have advised a client to build it. But I could not have wired it together myself.”
She has been an investigative journalist, an FBI insider, and an AI consultant with two decades of hard-won authority. So what does it take for someone like that to finally close the gap between knowing and building?
The answer is more specific than you might expect.
The woman who could sell AI to a boardroom but couldn’t build a single thing
Twenty years in investigative journalism teaches you how to find the truth in a room full of people hiding it. A chapter inside the FBI teaches you something harder: how to build a case that holds.
When Deborah launched AIEZ.ai, she brought both skills with her and built a consultancy around something most organizations were only beginning to understand.
Her clients paid her to walk into boardrooms and make the case for AI transformation. She understood the strategy, the governance frameworks, and the risk architecture.
“I could talk about AI with authority,” she says. “I could advise on it, write policy around it, stand in front of a boardroom and make the case for transformation.”
That credibility was real, and it was earned. But back at her desk in Denver, alone with a blank screen, a realization hit: she could design the system, but she couldn’t wire it.
Every time a client needed something actually built, she reached for a technical partner. That dependency was the one thing two decades of expertise had never fixed.
The cost of being the expert who couldn’t execute
“There’s a specific kind of impostor syndrome that comes from being an expert advisor who can’t execute the thing they’re advising on,” Deborah explains. “You learn to work around it. But it has a cost — in confidence, in what you pitch, in how far you’ll push a client toward something ambitious.”
The workarounds had become invisible. She pitched less ambitiously than she could have. And she stayed quiet in rooms where she had the strategy but not the execution.
Do you know that feeling of editing yourself before anyone else gets the chance? That’s where Deborah had been living, longer than she cared to admit.
Then she saw Mindvalley’s AI Mastery program advertised and recognized her own problem in the description. She sat with the price for a while because, as a solo practitioner, every dollar spent on herself was a dollar not going into the business.
“I had to make a real case to myself before I committed,” she says. The case was this: the gap was directly limiting what she could charge and what she could deliver. That reframe settled it.
The session where she stopped watching and started building
What Deborah found inside AI Mastery was not what she expected. Instructor Vykintas Glodenis, known to the cohort as Vyk, ran a session on Airtable and the Model Context Protocol that changed how she saw using AI for business.
“Vyk showed us it was something you could wire into the actual infrastructure of your business,” she says. “I watched Claude connect to an Airtable base, read the schema, understand what each table was for, and start creating records autonomously.”
She built a receipt database that session. For the first time, she felt the difference between using AI and deploying it.
I went from being someone who designs AI systems for other people to someone who ships them.
— Deborah Sherman, CEO and founder of AIEZ.ai
Then came the workshop with Domenic Ashburn, the founder of Mr. Grateful and media strategist for Nike and the NFL, on long-form video production.
As a former investigative journalist, Deborah had been shooting and editing client video by hand. Dom showed her she could do it faster and at nearly the same quality using AI.
The session that was the icing on the cake was Sara Davidson and Tyler Fisk on building AI agent teams. They showed the cohort how to construct specialized agents working together to analyze sentiment, draft responses, run quality control, and surface only the decisions that required a human.
“That’s when the gap closed,” Deborah recalls. “I understood what I was actually capable of building, and built it.”
Today, she’d seen firsthand how AI helps with productivity, but this was different. Those workflows save her at least six hours every week, and she has taken on new clients she could not have served before.
The first product is live, and she is just getting started
True Prospects exists because of what Deborah learned to build, not just advise on. The problem it solves is specific: nonprofits are chronically underfunded because finding the right donors, researching them properly, and writing outreach is enormously time-consuming work.
Most small nonprofits can’t afford a full-time development director to do it. So they leave money on the table every year.
Deborah built the whole stack herself. The AI agent lives in MindStudio. Payment processing runs through Stripe. The automation pipeline connects through Make and Airtable.
“I went from being someone who designs AI systems for other people to someone who ships them,” she says. True Prospects is live, and it’s the first of several products she plans to build on this foundation.
The changemaker community she trained alongside is still with her. Vyk is now helping her advertise True Prospects using Airtable.
And AIEZ.ai? It’s no longer just a consultancy. It’s a product studio.
What this means for you
Deborah’s story isn’t a special case. It’s what happens when someone who already understands the problem deeply gets the tools and the training to finally solve it themselves. That combination of domain expertise, a clear problem, and the right education at the right moment is available to you right now.
If you’ve ever sat with an idea you couldn’t build, advised on something you couldn’t execute, or stayed quiet in a room where you had the strategy but not the execution, Mindvalley’s AI Mastery exists for exactly that gap. It’s built for people who are ready to make money with AI, not just talk about it.
The reality is, the future belongs to the curious. Deborah, alongside hundreds of students worldwide, was one of them. The only question worth asking now is whether you are, too.
