01Live systems lab
AI workflow foundations
Map a real workflow, design the human checkpoints, and leave with one working AI-assisted operating system.
- Wednesday, September 16, 2026
- 1 full day
- Limited to 16 operators
Applied AI enablement · Toronto + live online
Stop collecting AI tools. Build a system your team can run.
Hands-on workshops for operators who need repeatable workflows, reliable outputs, and real adoption—not another prompt library.
SYSTEM / 01
01CONTEXT
02WORKFLOW
03EVALUATION
04ADOPTION
One real workflow.
Built end to end.
CONTEXT→ORCHESTRATION→GUARDRAILS→ADOPTION
Upcoming build labs
Learn by shipping the system.
Every lab starts with your workflow and ends with a working implementation plan.
02Two-day build intensive
Build your internal AI system
Turn scattered prompts and tools into a governed system with context, orchestration, evaluation, and adoption built in.
- Thursday, October 1, 2026
- 2 full days
- Limited to 12 builders
The operating system
Four layers. No magic.
- 01Context
Give the system the policies, examples, data, and decisions it actually needs.
- 02Workflow
Map triggers, tools, ownership, and the moments where a human stays in control.
- 03Evaluation
Define what good looks like and catch failures before your customers do.
- 04Adoption
Turn a founder experiment into something the team can understand and repeat.
Reserve access
AI workflow foundations
Wednesday, September 16, 2026 · 1 full day
Operator seat
One seat, templates, implementation lab, and 30-day recording access.
Builder pair
Two seats for teammates working on the same system. Save $49.
Team pod
Four seats, a dedicated workstream, and a private review.
Secure checkout and receipts are handled by Whop.
Private enablement
Bring one workflow. Leave with the system and the team to run it.
A facilitated sprint for leadership, operators, and builders. We align the use case, architecture, controls, and adoption plan in the same room.
- Pre-workflow diagnostic
- Private build sessions for up to 12
- 30-day implementation review
Before the lab
Practical questions.
Do I need to code?
No. Technical builders can go deeper, but the core work is workflow design, operating decisions, evaluation, and adoption.
Which tools do we use?
The stack follows the workflow. Examples may include ChatGPT, Claude, n8n, Make, Clay, Notion, and internal APIs.
What should I bring?
A laptop and one workflow worth improving. You will get the templates and preparation prompts before the session.
Not ready for this date?