Ask about the course or your evidence
Use the form if a lecture is unclear, if you want to describe a visibility problem in your studio evidence, or if you are unsure how to read an AI answer. I answer in the same spirit as the course: carefully, plainly, and without pretending the machine is more knowable than it is. A concrete query or wording sample is enough to begin.
Common questions
Is the course free?
Yes. I publish it as a free learning course for small accounting studios and people who support them. There is no required enrolment, payment, or private program behind the lessons.
Do you provide a certificate?
No. I do not issue certificates for this course because it is free educational material, not an assessed professional qualification. The useful proof is the work you can repeat: dated checks, cleaner source trails, and better public wording.
Should I read the lectures in order?
I recommend reading them in order the first time. The course starts with basic model behavior, then builds toward correction and monitoring. After that, you can return to the lecture that matches the problem in front of you.
Do I need to complete the tests?
The tests are for self-checking only. I do not grade them, store scores, or compare students. They are there to slow the reading down a little and make the method easier to remember.
What should I do if something is unclear?
Send a note through the form with the lecture title and the part that confused you. I can usually help by restating the issue through a smaller example. A real query or public wording sample helps, but do not send confidential client material.
What languages is the course available in?
The base course text is in English. I use Italian accounting-studio situations because the audience and evidence patterns come from that context. When language variants matter, I discuss Italian naming and service phrases directly.
Can I use this course outside accounting studios?
Some habits will travel to other local professional firms, especially source checking and wording consistency. Still, the examples are built for small accounting studios, so I would adapt the details before applying them to another profession.
Bring one concrete visibility problem.
A clear question is easier to answer than a broad worry about AI.