AI training and consulting, in the room, in Manhattan.
Midtown, Flatiron, FiDi, Hudson Yards. PATH to 33rd Street or World Trade Center, then I walk.
Manhattan is where I spent six years running infrastructure and support operations on Wall Street, so a conference room on Water Street or a shared desk in Flatiron is familiar ground. I come in from Jersey City on the PATH, which puts me at World Trade Center or 33rd Street in about fifteen minutes, and anywhere in the borough inside the hour.
The work is the same whether we sit in your office or on a call: I build software and AI systems, I teach people to build and direct them, and I sell the Fire inference API that my own products run on. What changes in person is bandwidth. A whiteboard session resolves in two hours what three weeks of Slack does not.
What Manhattan teams usually bring me
A finance or legal shop that has data in four systems and wants one answer. A founder with a working prototype and no production discipline around it. An operations lead who has been told to "use AI" and has nothing concrete to point at. A team that bought ChatGPT seats and got nothing measurable back.
For the first three, that is a consulting engagement: I scope it, build it, and leave behind something that supports itself. For the last one, it is training. Most Manhattan engagements turn out to be a bit of both, which is why both are priced to start small.
On-site pricing in Manhattan
A one-to-one working session is $150 an hour, or $375 for a three-hour block, with a flat $50 travel fee anywhere in the five boroughs. That is the whole price. There is no agency margin, no account manager, and no junior staff: you get the person who built the stack.
Group formats run the same way. The Unleashing AI seminar can be delivered at your office for a team, and the 13-week Bootcamp includes in-person days for anyone who can reach Jersey City or lower Manhattan.
Midtown and the Financial District
Midtown clients tend to be larger organisations with procurement, security review, and a data-residency question before any code gets written. I have done that review from the other side of the table, and I design for the answer: private-cloud deployments, vault-brokered credentials, and inference that is logged and auditable by default.
Financial District and Tribeca teams are usually smaller and faster. Those engagements tend to start as a three-hour session on a Tuesday and turn into a fixed-scope build by Friday.
Three ways to start
- Book a session. $150 an hour or $375 for three, Zoom or on-site with the flat $50 fee. Book here.
- Learn to do it yourself. The 13-week Bootcamp ($4,500 once or $1,650/month for three), the Unleashing AI seminar, or The Forge, which is free.
- Get a system installed. Orchestration Setup puts a multi-agent AI stack on your own cloud from $500. Larger builds are scoped after a first session.
Questions people in Manhattan ask
Do you charge for travel into Manhattan?
A flat $50 on top of the hourly rate, anywhere in the five boroughs. There is no minimum beyond a single hour, though a three-hour block at $375 is the better value.
Can you work inside our security and procurement process?
Yes. I spent six years on the infrastructure and support side of a Wall Street firm, so vendor review, data classification, and change control are normal to me. For AI work specifically, I design so that your credentials never pass through a model and every inference call is logged.
Is remote cheaper?
Only by the $50 travel fee. Zoom sessions are the same $150 an hour, and most engagements end up mixing the two: in person to scope and whiteboard, remote to execute.
Nearby
Brooklyn → Queens → Jersey City → Hoboken → All service areas →
Not sure which format fits?
Tell me what you are working on and I will say which one, in one reply.
