Nick Nisi

Make AI how your team works.

Hands-on workshops for organizations moving from scattered experiments to shared, repeatable practice. You bring the real work. We build alongside your team.

Booking continues on Zack Proser’s shared contact page.

Nick Nisi teaching an AI engineering workshop in London
FormatHands-on
Crew1–3 practitioners
Shape½–2 days

Adoption is a practice problem.

The tools may already be licensed. A few people may already be moving quickly. But the organization still has to cross the gap from “AI is something some engineers do” to “this is how work happens here.”

A lecture does not close that gap. A room of peers shipping something together—with experienced practitioners close enough to unblock the awkward moments—can.

Workshop-shaped, not classroom-shaped.

Mixed-skill, on purpose

Engineers, leaders, operations, and curious teammates work in small pods. Expertise moves around the room instead of staying on stage.

The keyboard rotates

People build, watch, and build again. The session is designed to make trying something new feel safe, not performative.

Your work becomes the material

Teams use their own workflows, codebases, docs, and constraints. The goal is useful practice that can continue on Monday.

Phase 01

Calibrate

Create a shared language for where the organization is today and what meaningful adoption looks like.

Phase 02

Cross the bridge

Move from chatting with AI to directing tools that can produce, inspect, and revise real work.

Phase 03

Ship together

Each pod tackles a workflow from its own job, with practitioners embedded where the work gets stuck.

Phase 04

Make it repeatable

Turn what worked into reusable skills, conventions, and internal champions who can carry it forward.

Nick Nisi presenting Claude Skills at a WorkOS company onsite in San Francisco

I’m still doing the work.

I lead DX / AI work at WorkOS and build the internal systems other teams use. The workshop translates daily practice into something a whole room can try, question, and carry forward.

  • 01Staff engineer and AI practitioner
  • 02EM · DX / AI · WorkOS
  • 03Co-instructor at AI Engineer New York and London
  • 04Long-time JavaScript, tooling, and community voice

Three practitioners. One shipping crew.

Nick Nisi DX / AI · WorkOS

Nick Nisi

Staff engineer and engineering manager building AI-native developer systems and teaching the practices behind them.

Zack Proser Applied AI · WorkOS

Zack Proser

Full-stack engineer, writer, trainer, and applied-AI practitioner with fifteen years across the stack.

Nick Cannariato Solutions · WorkOS

Nick Cannariato

Senior solutions engineer with deep experience in developer tools and enterprise adoption.

Ready to scope the room?

Share your headcount, team mix, timing, and what has already been rolled out. The shared crew will take it from there.

Book a 30-minute scoping call →