On-Site AI Engineering for Northeast Ohio.
I'm Mark Shust. I help $10M–$100M companies in Greater Cleveland identify and solve operational problems by embedding AI directly into their business workflows. Not a strategy deck, but working software your team actually uses.
- Independent
- 25+ years shipping production code
- On-site in Northeast Ohio
You've tried AI two or three times.
It hasn't stuck.
The chatbot pilot that went quiet. The ChatGPT subscription nobody uses. The "AI initiative" with no owner. The McKinsey deck still sitting in someone's inbox.
The reason isn't the AI part. AI tools are commodities now. The reason it didn't stick is the business and software development cycle underneath it — the part that needs an operator who's lived inside production systems for two decades, who can sit at a whiteboard with the person who actually runs the work, and finds the two or three places of real leverage.
Slide decks don't ship.
Tools alone don't fix your problem.
Offshore handoffs don't show up locally.
Shipping production code, daily.
Twelve months of code reaching production, every working day.
The same shipping cadence comes with me to your facility.
Bias toward shipping.
One day on the whiteboard at your facility.
The rest of the engagement is shipping to production.
I show up,
find the leverage,
and build it.
-
01
Research &
DiscoveryHalf-day on-site at your facility. I walk your operation with the person who owns the work — the GM, the plant manager, the COO — research where the friction lives, and find the two or three places AI creates real leverage. You leave with a written punch list, ranked by effort and impact. No deck. No invoice.
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02
Assess &
BuildI assess what fits the stack you already run, design the smallest system that solves the problem, and build the reference implementation. Working software in your environment by month's end — not a deck, not a slide-ware mockup. No vendor lock-in. No "platform" to rent forever.
-
03
Implement &
SupportI install the system in your production environment, train the person who'll run it day-to-day, document the architecture, and stay close enough to fix what breaks while the system matures. Optional embedded retainer if you want me on call after launch.
A mid-market gap
nobody's built for.
Palantir reports $1.5M in revenue per employee. Their playbook works — for the Fortune 500. For a $40M Cleveland manufacturer, the other options have been either a McKinsey deck shipped to an offshore team, or a local agency that doesn't have AI depth. Devtomic is the third door.
| Palantir Big AI consulting | McKinsey BCG, Accenture | Devtomic Mark Shust | |
|---|---|---|---|
| Minimum engagement | $1M+ /yr | $500K+ | $25K+ fixed price rates |
| Who actually builds it | Offshore team | Offshore team | I do, daily |
| First working system | 6–12 months | 9–18 months | 30–90 days |
| Geography | SF / NYC / London | Quarterly flyovers | Cleveland, on-site |
| Vendor lock-in | Foundry stack | Variable | None. You own it. |
| Who you talk to | Account exec | Partner → Sr. associate | Me. Always. |
Start with a half-day
on-site at your facility.
I work selectively — one or two engagements at a time. The fastest way in is a half-day discovery visit at your facility. You leave with a written punch list of the highest-leverage AI opportunities in your operation, ranked by effort and impact. If we move forward, we scope a fixed-price project together. If not, you keep the punch list and we part as friends.
Submissions are confidential and read by me directly. No CRM, automation, or list. Replies within 24 hours. I'll proceed only if I'm confident I can deliver.