The Live Lab · the methodology behind every programmeTaught by Dr. Jojo · live on Zoom · every weekYour real problem · not a sandbox · not a case studyOutput exists by the end of every call90 minutes · 4 stages · one deliverableMasterclass $200 · Full programme $1,150 · scholarship $650The Live Lab · the methodology behind every programmeTaught by Dr. Jojo · live on Zoom · every weekYour real problem · not a sandbox · not a case studyOutput exists by the end of every call90 minutes · 4 stages · one deliverableMasterclass $200 · Full programme $1,150 · scholarship $650The Live Lab · the methodology behind every programmeTaught by Dr. Jojo · live on Zoom · every weekYour real problem · not a sandbox · not a case studyOutput exists by the end of every call90 minutes · 4 stages · one deliverableMasterclass $200 · Full programme $1,150 · scholarship $650
The only AI training where the output exists before the call ends.
90
Minutes per session
4
Stages every call
1
Real problem — yours
0
Case studies
Not a teaching format. A work format.
Most AI training asks you to apply concepts to imaginary scenarios. The Lab runs the other way. You bring the actual challenge you're responsible for. Dr. Jojo and 14 peers work on it with you, live, on screen. The session ends when something is deployed — not when the clock hits 90 minutes.
The Lab is the same across every programme — Fellowship, Sales, Founder, Leadership. What changes is who's in the room with you and what kind of problem you're building against.
Every other course gives you the map. We make you drive.
🎯
The problem is yours — not ours
You named it before the programme started. It lives in your actual tools, your actual data. When it's solved, you'll feel it — not in a sandbox.
📡
Dr. Jojo is in the room, not the chat
Live coaching during the build — not async feedback three days later. If she sees something better, she says it mid-session. The best insight arrives before you've finished typing.
👥
14 other people doing the same thing
A founder watching a sales manager's session changes how both of them think. Cross-sector pattern recognition is structural, not accidental.
📦
Proof Pack — not a certificate
Every session produces a verifiable artefact. By week 6 or 8, the Proof Pack is a portfolio of real work — employer-shareable from graduation day.
Proof Live Lab
Everything else
Your actual job, live system
Case study or sandbox
Deployed to your real tools
Assignment submitted to instructor
Live coaching during the build
Async comment or rubric grade
Output exists by end of session
Homework to complete by next week
Verified Proof Pack — employer-shareable
Certificate of completion
AIQ 5D — public rubric, same as employers use
Instructor judgment or no score
14 different industries, same challenge
Discussion boards, optional
The 90-minute session
Every call. Same four stages. One output by minute 90.
The session format is fixed. The problem is always yours. The output is always real. Here's what happens inside every Lab call.
01
0 – 10 min
Context open
Dr. Jojo frames the week's concept in one model. No slides for slides' sake — just the lens you need to build well this week. Sometimes it's a decision tree. Sometimes it's a single question that reframes the whole problem.
This week
Wk 3 — Trust vs. Override: three inputs that should always trigger a human call, before the model's output reaches anyone.
02
10 – 50 min
Your problem, live
You share your screen — actual tool, actual data. Dr. Jojo and 14 peers watch you build in real time. Interruptions are allowed. Disagreements are encouraged. The best coaching happens in the moment of building, not in the debrief.
In practice
Meera shares her Salesforce view live. Dr. Jojo spots a field she's never used. Five minutes later it's the override trigger. She didn't see it. The room did.
03
50 – 70 min
Peer cross-fire
Two or three others share progress. You react, borrow, and spot patterns across sectors you'd never encounter alone. A founder's approach to user feedback triage changes how a sales manager thinks about AI output validation. Every time.
Why it matters
The insight you get from watching someone else's problem is often the one that unlocks yours. This 20 minutes is worth the whole programme fee.
04
70 – 90 min
Ship checkpoint
You document the deliverable live — in your tool, not a shared template. Dr. Jojo confirms it's real, runs, and is explainable to your manager in one sentence. It logs to your Proof Pack. Session ends when the output exists.
The standard
Dr. Jojo's question: "Explain what you built to me like you're talking to your manager — one sentence." If you can't, it's not done.
A session in action
This is what week 3 looks like.
Dr. Jojo · Live Lab · Wk 3 · SalesApplied.AI
Live
Dr. Jojo · Coach
Meera, share your Salesforce pipeline view — the one you actually work from, not a cleaned-up version.
10:03 AM
Meera Nair
Here it is. Messy but this is real. AI-drafted follow-ups are in this column.
10:04 AM
Dr. Jojo · Coach
That field on the right — AI_Confidence_Score. Have you ever used it?
10:06 AM
Meera Nair
No — I didn't even know it was live. What does it mean?
10:07 AM
Dr. Jojo · Coach
That's your override trigger. If it's below 0.6, the model is guessing. That's when your rep rewrites, not copy-pastes.
10:08 AM
Meera Nair
Building the rule now. 0.6 threshold, flag to rep, log the override reason.
10:12 AM
Dr. Jojo · Coach
That's the deliverable. Explain it to me in one sentence like you're talking to your VP.
10:19 AM
Meera Nair
When the AI's confidence drops below 60%, reps get flagged to rewrite — and they log why they overrode it. We track the delta in win rate monthly.
10:21 AM
Dr. Jojo · Coach
That's your Proof Pack narrative. Week 3 done. ✓
10:22 AM
📎
override_rules_v1.sf-note
Saved to CRM · logged to Proof Pack
What just happened in that session.
Meera came in with a real problem: her team was copy-pasting AI-generated follow-ups verbatim, and win rate dropped 11%. She'd spent two weeks trying to figure out why.
In 19 minutes, Dr. Jojo spotted a field in Meera's own CRM that had been sitting there for six months unused. That field became the override trigger. Meera left with a working rule deployed to Salesforce — not a plan to build one.
That's not a case study. That's not a sandbox. That's Meera's actual pipeline, her actual AI score data, and a solution she can show her VP tomorrow morning.
The point
The best coaching happens in the moment of building — not in the debrief, not in the feedback form, not in the async comment three days later.
What you walk away with
Every session builds toward one thing.
The Proof Pack is issued at graduation. It's not a certificate — it's a verified portfolio of everything you actually built, scored against the public AIQ rubric, visible to employers from day one.
🗃️
Section 01
Session output log
Every deliverable from every week — documented in your own words, with the tool evidence attached. Not a portfolio template.
📐
Section 02
AIQ 5D score
Graded across all five AIQ dimensions — Delegation, Discernment, Diligence, Deployment, Direction. Same rubric employers use to hire.
📋
Section 03
Dr. Jojo's assessment
A written evaluation from Dr. Jojo — specific to your problem, your decisions, your output quality. Not a generic feedback form.
🔗
Section 04
Employer profile
Your Proof Pack at proof.aiq/hire/[you]. Employer-visible from graduation day. Updated with every challenge you complete afterwards.
Your instructor
J
Dr. Jojo
Lead Instructor Proof.AIQ
8+
Years
400+
Students
AI ImplementationLive CoachingEnterprise AIUAE · GCC
Not a lecturer. A builder who teaches.
Dr. Jojo doesn't teach you about AI — she builds with you in the session. Her approach is direct: share your screen, show the real problem, and she'll show you exactly where the model is failing you and how to fix it before the call ends.
She's worked with sales teams, founders, government professionals, and senior leaders across the UAE and GCC — always on real systems, never on case studies. If she's seen your problem before (and she usually has), she'll tell you in the first ten minutes what the unlock is.
Every session she runs ends with a deployed output. Not a plan. Not notes. The actual thing, in your actual tool, ready to use the next morning.
The four programmes
Same Lab. Four arenas.
The Lab runs identically across all four. What changes is who's in the room and what kind of problem you're building against.