I build AI workflow skills for Canadian accounting practice.
My work focuses on two specialized areas:
- Canadian IT contractors — teplov.ca
- Canadian e-commerce sellers — ecomcount.com
These workflows are built from real accounting practice. They are designed to help users move from messy inputs to structured outputs through repeatable, profession-grounded workflows.
The internal design is modular. The user experience should still feel simple.
Client-facing AI workflow skills for Canadian IT contractors.
Practice-tested AI workflow skills for CPAs and bookkeepers.
Client-facing AI workflow skills for Canadian e-commerce sellers.
I am interested in a simple question:
Where does AI actually help inside an accounting practice, and where does it still need a CPA to review, correct, or decide?
These repositories are built to explore that question through real workflows.
Organize before deciding. Collect and normalize facts before mapping them into outputs.
Keep workflows narrow where it helps. Smaller skills are easier to test, maintain, and trust.
Keep cross-cutting risks separate. Complex issues should stay visible rather than getting buried inside one broad workflow.
Preparation, not professional sign-off. These systems improve organization and reduce friction, but they do not replace CPA judgment.
These workflows organize information. They do not verify completeness or accuracy, provide tax advice, or replace review by a qualified CPA.