Case Study of a Stack-Certified AI Consultant
Mason came into college already running things. The window cleaning business was his. The door-to-door sales gig sharpened the muscle. By the time he hit his sophomore year, he had three or four years of in-person selling under his belt and the conviction that he wanted to keep building businesses — not just learn about them.
The question wasn't whether to start something. It was what.
"I wanted to use the skills and the coding knowledge that I was learning in school in the business, and not just start something completely separate."
Data science to AI consulting was a short jump on paper. Sales background plus a technical major meant he had both ends of the equation most solo AI consultants struggle with — the build skills and the ability to sit across from a stranger and ask for money. What he didn't have was the middle piece: who exactly to sell to, what to package, and what to charge.
Why Stack — and Why It Wasn't What He Expected
Mason wasn't new to AI programs when he found Stack. He'd already been through the AI Agency Accelerator, which taught him how to build agents using low-code tools. The technical side was handled. What he was missing was everything else.
"On the business side, I needed a lot more help on niching down, pricing. I wanted that more direct support with the mentorship — and specifically the niching down and the business weeks from the Playbook were what stood out to me the most."
He came in thinking the mentorship would be the biggest lever. It wasn't. The actual lever turned out to be the structure of the Playbook itself — the framework for picking a niche, defining a service package, and setting pricing — which he ran through in about a month.
"I went through the Playbook pretty quick. As soon as I joined I pretty much just dived in and started applying the things I learned. There's a couple of prompts and based on my background and my experience — even though it's just window cleaning, door-to-door — that's what helped me outline a niche."
The niche he landed on was realtors. The clarity that came from naming one type of buyer, one set of problems, and one set of deliverables enabled everything else to fall into place. The unexpected upside was Stacey, Stack's AI co-pilot.
"The one thing that I was pleasantly surprised with was Stacey. I don't use her a ton, but I'm still very surprised at what she's able to do."
The Hardest Part Was Supposed to Be the Easiest
Mason's pre-Stack resume only had three to four years of door-knocking with a small business he ran himself. He came in confident sales would be the part he didn't have to think about.
It wasn't.
"Cold calling and Zoom sales were very foreign to me. A lot of the sales I'd done before was very direct — a direct pitch, a direct sale. Not just investigating, discovering their issues, trying to help them out."
What changed it was the discovery call structure baked into the Playbook — the scripts, the call frameworks, the shift from pitching to diagnosing. Cold calling is still the part he's actively warming up to. But he's no longer trying to close on the first conversation, and the close rate has followed.
What the Business Looks Like Today
Mason offers two services: voice AI (receptionists, outbound callers) and content automation (custom AI clones for personal-brand-driven clients, automated content workflows with human-in-the-loop review). One of his content automation projects is an AI version of a real estate agent that drafts and posts videos the agent reviews and approves before they go live.
The numbers:
First ten clients closed by the end of 2025, totaling roughly $20,000 in revenue in his first stretch.
$50,000 lifetime revenue to date.
Three active engagements right now — two content automation builds and one voice receptionist deployment — all sourced from warm-network referrals and earlier client upsells.
"I haven't had to do any outreach to actually get those clients. The work I put in last year in building up those connections I'm now still able to get work from later down the line through upsells and referrals."
Real estate is no longer the only sandbox. The repeatable nature of voice AI and content automation means the same systems work across other service businesses, and Mason has been deliberately broadening from there.
What's Next
The next twelve months have three clear targets.
The first is $10,000 per month in revenue — the number that flips the calculus on staying in school. Mason is close to graduation either way, but $10K/month is the threshold where he can fully fund himself and put the rest of his time into the business instead of splitting it.
The second is a team. Right now he's working with one developer. The plan is to grow that to five to ten people inside a year — to make the business something bigger than himself rather than just a solo freelance practice.
The third is a real, repeatable acquisition system. Warm referrals have carried him to $50K. They won't carry him to $10K/month at the consistency he wants. Cold calling, paid ads, even going door-to-door into local businesses — the muscles he already has, applied to a new format — are all on the experiment list, alongside building out his personal brand on social.
What He'd Tell Someone in His Spot Six Months Ago
"All the information is out there. You don't have to join a community like this. But if you want to fast-track yourself and you want a very clear roadmap of how to get where you want to go — versus cutting through the noise that's online right now — I would highly recommend it. The value of Stack isn't that the information is proprietary or that you can't find it elsewhere. It's that it's just laid out in such a nice, eloquent way that you can easily follow it."
Mason is the kind of person Stack is built for — a builder with one foot already in business, looking for the structure that turns ambition into a roadmap. Six months in, he has the niche, the offers, the revenue, and the proof that the model works. The rest is execution and scale.
Mason Davis is a Stack Certified AI Consultant building voice AI and content automation systems for service businesses, primarily in real estate and adjacent verticals. If you're ready to take a sales background, a technical skill, or both, and turn it into a real AI consulting business with the same structured foundation, apply to Stack here.
