The room where you can ask anything.
Somewhere between the board asking about AI and your team nodding along in the all-hands, nobody knows what to do next. That’s the room I get hired into. Think of it as a personal AI boot camp — a trainer for your mind, the way you'd have one for your body. Bespoke, built around how you actually work.
01You talk, I listen
The first stretch is yours: how the business runs, where the hours go, what the board is asking. No slides on either side of the table.
02A plain-language read
Then I explain, in plain language, what AI can and can’t do for your business — what’s real, what’s noise, and what any of it costs to run.
03Ask anything
Nothing is on the record. Then we find where AI actually helps and build the workflows together, on your real work — so you walk away with repeatable workflows, not homework.
- A clear read on what’s real versus noise for a company your size
- The questions to ask any vendor — and the answers that should worry you
- Where to start, and what to ignore
- A written memo of all of it, within 48 hours
$1,000
Fixed · Two to three hours · One on one
In person in New York or over video. Confidential either way — a signed confidentiality agreement is standard whenever you want one on file.
Book a 30-minute intro call Free · 30 minutes · we scope the session on the callThis coaching is the same applied-AI teaching Paul has delivered at Stevens Institute of Technology for five years — 700+ engineers and 50+ startup teams — aimed at your company instead of a classroom.
No prerequisites, no jargon quiz. Nobody has ever been behind in this room.
More about Paul →The same session, with your team in the room.
A small-group boot camp — five to ten people who actually work together. More brainstorming than lecture, and everyone leaves with the same written follow-up.
- Storyboard the workflow — end to end, the way it actually runs, not the way the org chart says it does.
- Where the hours go — the pain points, named out loud, by the people who feel them.
- The production flow — where work queues, waits, gets re-keyed, or gets done twice.
- Risk — what breaks, what leaks, and what you'd struggle to explain to a client or a regulator.
- Who it touches — who does the work, who signs off, and who has to live with the result.
- What an agent actually is — and how it differs from a chatbot, a script, or a very confident autocomplete.
- Architecture — where the model sits, what it reads, and what it is allowed to touch.
- Harnesses — the scaffolding that turns a model into something dependable: tools, memory, retries, limits, logs.
- Prompting — how to ask so you get the same answer twice, and how to tell when you won't.
All of it framed inside the ecosystem you already run — OpenAI, Claude, Azure, or whatever your architecture is. No platform preference is fine too; we’ll work in Claude and the thinking carries over.
Larger rooms are a different thing — that’s a speaking engagement, from $5,000.
From $2,500 per day · Five to ten people · NYC or video