012h
The AI Operator
The craft, the market's four roles, the arsenal and choosing the target operation.
→ Environment + target defined
Quantum AI trains operators. In eight weeks you finish with a real operation running in production — plus the offer, the price and the contract to sell it again.
The sequence is almost always the same. And it has nothing to do with you not being smart enough.
A tool course expires in six months. Then the model changes, the interface changes, and you're back at the start with nothing built.
Dirty data, duplicates, rate limits, an angry customer, an API down. The tutorial only shows the pretty case — and the pretty case doesn't pay anyone.
With no baseline, no scope and no contract, you bill by the hour for work the machine does in seconds. And the margin disappears.
In Week 1 you pick a real process — from your company, your job or a pilot client. In Week 2 you measure what it costs today. In Week 8 you measure again, in front of the panel.
Volume, time per unit, cost per unit and rework rate. Four numbers, measured, signed.
The same four numbers, measured again. The result you present is yours, not a promise of ours.
With the baseline in hand, the next sale stops being an argument and becomes a comparison: what the process costs today against what it costs with you.
Four phases. You start by measuring what the process costs today and finish by presenting the new number, the offer and the contract.
See the system before touching it. Map the real process, measure the baseline and specify the task with a test and an acceptance criterion.
Build the parts: orchestration, real integrations, an agent with tools and a knowledge base that cites its source.
Tie it all into a living operation: front line in front of real people, guardrails, dashboard, alerts and a documented handoff.
The operation becomes a business: priced offer, pipeline in motion, model contract and Demo Day with a panel.
The concept session opens the week with guided building; the lab session is an open workbench, and nobody leaves without delivering the week's artifact.
The craft, the market's four roles, the arsenal and choosing the target operation.
→ Environment + target definedMap the real process and measure the four baseline numbers. Measure before you touch.
→ Map + signed baselineTokens, context, hallucination, latency, routing and the real cost per operation.
→ Model and cost matrixPrompt as specification: format, constraint, acceptance criterion and test bench.
→ Prompt + 10 measured testsReal orchestration: triggers, credentials, data between nodes, flow as code.
→ End-to-end flow v1WhatsApp, email, spreadsheet, CRM — and the dirty part: duplicates, malformed data and error 429.
→ Automation with real dataLoop, tools, memory, cost ceiling — and when to refuse autonomy.
→ Agent with 3 toolsKnowledge base and RAG, with source citation and refusal behaviour.
→ A base that cites its sourceConversation design, qualification, human handoff and testing with real people.
→ Front line tested with 5 peopleWhen voice beats text, latency, consent — and document extraction.
→ Second channel liveFailure, retry, guardrails, cost ceiling, dashboard and alert. With live fault injection.
→ Passed the break testThe client's credentials with the client, delivery dossier and the recurring-revenue conversation.
→ Operation in productionPaid diagnostic, setup, retainer, scope and an honest guarantee. Sell the result, not the hour.
→ Priced offerICP, outreach, 45-minute diagnostic and a one-page proposal. Live prospecting.
→ 30 contacts approachedOwnership, SLA, data protection, AI clauses and the protocol for when the model gets it wrong.
→ Model contract readyLive demonstration, Scoreboard closed, panel questioning and a 90-day plan.
→ Quantum Operator SealEverything NOIRIS uses to get an operation on its feet, in your hands, ready to adapt to the next client.
Founder and CEO of NOIRIS AI, an applied intelligence house that builds agents and automation for companies. Not an agency, and not generic software.
An AI strategist based in Canada, with executive education from Harvard, MIT, Stanford and Yale — and operations running in production, not in slides.
What you learn in Quantum AI is the method NOIRIS uses with its own clients. Including the part nobody publishes: dirty data, rate limits, human handoff, cost at volume and the day the model fails in front of the client.
Two guarantees, both in writing. And the list of what I don't guarantee — because anyone promising revenue is selling something else.
QuantumIf by the end of Session 4 you conclude the program isn't for you, I refund you in full. No questions, no retention attempt — and you keep the artifacts you've already produced.
If you deliver the 16 artifacts on time and your operation isn't running in production by the end of Week 8, I stay with you — at no extra cost — until it runs.
What is never guaranteed: revenue, number of clients, perfect accuracy of any AI system, or any result that depends on third parties.
Entry is by application and a selection conversation, not by checkout — the promise depends on you having a real operation and real time.
Up to 12 seats
Up to 5 seats
1 seat
Yes. You assemble flows, you don't write software. What's required is comfort with technology at an advanced-user level and willingness to work in configuration screens. If you've ever set up an integration between two tools, you have the base.
The tool changes; the method doesn't. Mapping a process, measuring a baseline, specifying, testing, hardening against failure, pricing and contracting will hold for any model that exists three years from now. That's why Week 2 is about measurement, not about tools.
You'll learn to assemble. You won't learn what only shows up with a real operation: dirty data, rate limits, human handoff, cost at volume, an incident in front of the client, and what to charge. YouTube shows the pretty case — here, Session 11 breaks your operation on purpose to see whether it survives.
I don't promise clients — I promise pipeline. In Session 14 you approach 30 companies inside the session, with a rehearsed diagnostic script and a proposal ready. What happens afterwards depends on you executing. Anyone expecting a guaranteed client shouldn't enroll.
Around 9 hours: 5 live on average — two sessions a week, of 2h to 4h each, adding up to 41h in total — and 3 to 5 of directed work on your own project. If you don't have that now, join the next cohort — the program doesn't work at half strength.
No. You need access to a real process: from the company where you work, from your own service, or from a pilot client who has already agreed. Without an accessible target operation the program's promise can't be kept — and I'd rather say that before you pay.
You apply, and we talk for 30 minutes. I want to understand which operation you'd bring, what access you have to it, and where the 9 weekly hours fit into your routine. If it doesn't make sense, I'll say so on the spot.
If you have the process, the access and the hours, we'll build the rest together — over the next eight weeks.
Claim my seat →Application and selection conversation · seats limited per format