- BriefDefine the business question.
- ResearchUse permitted, identifiable sources.
- ReviewCheck facts and assumptions.
- DemonstrateExplain the status and limits.
- Agree deliveryConfirm scope and responsibility.
Start with a business problem
The useful starting point is a task a business actually needs help with, not a collection of agents with impressive names. Define the problem, the intended user and what a satisfactory result would look like before asking software to create anything.
The official class sequence connects AI-team setup with niche selection, an offer and a client demonstration. The main review evaluates that teaching proposition. The workflow below is an editorial way to assess it, not a claim that this publication has run a paid client project.
Separate the handoffs
| Handoff | What should exist before moving on |
|---|---|
| Brief to research | A narrow question, allowed sources and known gaps |
| Research to demonstration | Checked facts and clearly labelled assumptions |
| Demonstration to offer | A service boundary, acceptance criteria and cost assumptions |
| Offer to delivery | Client approval, permissions and a documented plan |
| Delivery to ongoing support | Ownership, operating costs and a handover process |
These handoffs matter because a generated response can look complete before it is ready for another person to rely on.
Put the AI team to a defined task
Murage’s official example presents distinct AI roles within a workspace. A practical brief should make the roles legible: who gathers information, who challenges it and what the final output needs to contain.
Keep the research question small enough to check. For example, a practice brief could ask for a summary of a business’s publicly listed services, with links to the source pages and a separate list of unanswered questions. That is an illustrative exercise, not a product benchmark or a claim that a particular business used the system.
The Murage guide explains the difference between the free desktop tool and the paid training.
Review before presenting
Check source dates, company names, services, contact details and any statement about what a business needs. A website does not reveal every internal process, budget or permission.
Mark assumptions where they are made, rather than adding a vague disclaimer at the end. If a demonstration contains sample information, label it in the demonstration itself. The client-demo checklist turns these checks into a repeatable review.
Turn output into an offer
A draft becomes an offer only when you can explain what you will do, what the client supplies, what is excluded and how the result will be accepted. Include who handles corrections and ongoing costs.
Do not quote a service solely because a promotional example mentions an attractive amount. Your price needs to reflect the actual scope, effort, operating costs and responsibility. Nor does a generated pitch prove that someone wants the service.
Finish with delivery responsibility
The seller’s terms explicitly say the software does not find clients, sell or run a business for you. Treat the class as teaching a process, not transferring those obligations to an application.
Before handover, confirm access permissions, document what was approved and explain what needs human review after delivery. The client-delivery guide covers these checks separately from the demonstration stage.
The source for the advertised teaching sequence is the official preview. The seller terms establish important limits; they are not independent evidence of speed, reliability or client outcomes.
The full buying assessment
See the overall recommendation, strengths, limitations and buying checklist in our AI Agency Engine review.
Explore the right offer
Three supplied destinations. Check the specific offer before payment.
Checked October 26, 2026: all three links reached the same free registration page. Distinct paid checkouts and installment terms were not verified. No automatic discount is claimed.