What are the 'seven failure modes' the course is built around?

Seven specific ways AI output fails: fabrication, outdated data, omission, false precision, scope drift, commitment creep and reasoning collapse. Each gets a detection method and a Human Test rubric you can apply in 5 minutes.

Is this only for engineers building AI systems?

No. Half the curriculum is non-technical verification (reading, checking, gating). The other half adds self-consistency sampling and automated gates for technical users. Both halves stand alone.

How is this different from Trust Engineering (E2)?

Verification Masterclass is the human discipline — how to read AI output and catch failures. Trust Engineering (E2, €197) is the production math — conformal prediction, calibrated reliability scores, TrustGate. Take this course first, then E2 if you're shipping code.

Do I need to write code?

No for the core curriculum. The 'Automated Gates' module shows you how to wire verification checks into your tools (with templates) but you can use it as a thinking framework without writing any code.

6–8 hours total. The verification sprint exercise (module 3) takes the longest because you apply it to your own real output.

Will this still be relevant when GPT-5 / Claude 5 ships?

Yes. The seven failure modes survive model releases — they get smaller, not extinct. The verification discipline is the moat. We update the syllabus annually.

Can my company pay for this?

Yes. We issue invoices and provide a one-pager for L&D approval. Email hello@cohorte.co subject 'Reimbursement.'

What's the refund policy?

€197 courses are non-refundable once you open the course. Unopened, they are refundable in full within 14 days of purchase. The price is set so the decision is small. Real access issues — email us.

Verification

Polished and correct
are not the same thing.

The systematic verification discipline that catches what polished AI output hides. Before it costs you. 23 lessons grounded in 50+ research papers.

Get on the waitlist

€197 waitlist

Self-paced

The problem

The 3% that slips through
because it looked finished.

A junior analyst handed me a client brief. Clean formatting. Strong tone. Perfect structure. Confident subheaders. Twelve pages of polished output.

I found eight errors in five minutes.

Not typos. Not formatting issues. Structural errors. An outdated regulation cited as current. A market figure presented without a date. A recommendation that assumed a budget the client didn't have. A competitor analysis that omitted the actual market leader.

The brief looked finished. It was not finished. It was plausible.

Plausible is the most expensive category in modern work.

We are teaching an entire generation to produce faster. We are not teaching them to verify any of it. That gap is about to get very expensive.

AI training usually teaches you how to get answers. This course teaches you how to know whether the answer is any good.

The method

23 lessons. 5 modules.
One discipline.

Verify before you ship. Every output. Every time.

Module 1 · Primer 01

Why verification is the missing skill

The Verification Skills Gap

Why polish is not proof. Where verification lives in the workflow. The 3% problem. Why experts catch more. The cost of plausible.

4 lessons

Module 2 02

Know how AI fails

The Seven Failure Modes

Every AI output fails in one of seven predictable ways. Fabrication. Outdated data. Omission. False precision. Scope drift. Commitment creep. Reasoning collapse. Diagnose each in under 60 seconds.

7 lessons

Module 3 03

How to verify

The Verification Sprint

The 5-minute, 5-dimension protocol. Self-consistency. Deterministic checks. Source verification. Assumption audit. Commitment check. Live walkthroughs on real briefs.

5 lessons

Module 4 04

Scale verification

Self-Consistency and Automated Gates

Run the same question 10 times. Measure stability. Build automated quality gates before the human ever sees the output. Conformal prediction applied to everyday work.

4 lessons

Module 5 05

Apply the discipline

Your Verification System

Assemble your personal Verification Protocol. Role-specific customization. The live autopsy. Capstone: run the full sprint on a real piece of work and measure the before-and-after.

3 lessons + capstone

The catalog

Every AI output fails in one of seven ways.

Learn to diagnose each one in under 60 seconds.

Fabrication

Invented facts that sound plausible.

Outdated Data

Stale numbers presented as current.

Omission

Missing what matters most.

False Precision

Confident tone on uncertain ground.

Scope Drift

Answering a question you didn't ask.

Commitment Creep

Language that binds you to more than you intended.

Reasoning Collapse

Conclusion doesn't follow from premises.

Live autopsy · Capstone

Eight errors. Five minutes. On camera. In the capstone, CM takes a real polished AI brief and performs a live autopsy. Each Verification Sprint dimension applied in turn. Each failure mode exposed. The brief had been reviewed twice before. Both reviewers approved it. Both missed everything.

"They were reading for polish. Not for truth."

Grounded in 50+ peer-reviewed papers including conformal prediction, self-consistency in language models, cognitive load research, and human-AI decision-making studies.

Honestly

This is for you if:

→You use AI output in professional work where errors have consequences

→You've approved AI-generated content and later found mistakes

→You review work from people who use AI and need to catch what they miss

→You manage a team and want a verification standard, not a prayer

→You've felt the gap between "looks good" and "is good" but don't have a system for it

Don't take this if:

→You want prompt templates. The prompt is not where errors hide.

→You want tool tutorials. This is tool-agnostic.

→You think "I'll just read it over" counts as verification.

Pricing

One price. Lifetime access.

€197

One-time payment. All future updates included.

23 lessons across 5 modules (video and written)
The Seven Failure Modes reference cards (printable)
The Verification Sprint protocol (printable)
The Live Autopsy walkthrough video
50+ research paper bibliography and lifetime updates

3 months in the Engine Room. Where alumni and operators go to get unstuck.

Get on the waitlist

FAQ

Before you ask.

Anything else? Email [email protected].

What are the 'seven failure modes' the course is built around?: Seven specific ways AI output fails: fabrication, outdated data, omission, false precision, scope drift, commitment creep and reasoning collapse. Each gets a detection method and a Human Test rubric you can apply in 5 minutes.
Is this only for engineers building AI systems?: No. Half the curriculum is non-technical verification (reading, checking, gating). The other half adds self-consistency sampling and automated gates for technical users. Both halves stand alone.
How is this different from Trust Engineering (E2)?: Verification Masterclass is the human discipline — how to read AI output and catch failures. Trust Engineering (E2, €197) is the production math — conformal prediction, calibrated reliability scores, TrustGate. Take this course first, then E2 if you're shipping code.
Do I need to write code?: No for the core curriculum. The 'Automated Gates' module shows you how to wire verification checks into your tools (with templates) but you can use it as a thinking framework without writing any code.
Time commitment?: 6–8 hours total. The verification sprint exercise (module 3) takes the longest because you apply it to your own real output.
Will this still be relevant when GPT-5 / Claude 5 ships?: Yes. The seven failure modes survive model releases — they get smaller, not extinct. The verification discipline is the moat. We update the syllabus annually.
Can my company pay for this?: Yes. We issue invoices and provide a one-pager for L&D approval. Email [email protected] subject 'Reimbursement.'
What's the refund policy?: €197 courses are non-refundable once you open the course. Unopened, they are refundable in full within 14 days of purchase. The price is set so the decision is small. Real access issues — email us.