01
Start with a Canadian job posting, not a blank prompt
A useful session begins with the employer's language: responsibilities, required skills, location, seniority, and the evidence requested in the posting. The coach can then compare those signals with your projects, education, and work history.
Job Bank adds another layer: occupational duties, wages, outlook, and education requirements by location. Those fields can test a target role, but the employer's posting remains the source for the application in front of you.
02
Canadian context must be sourced, not guessed
Canada-specific does not mean adding Canadian spelling or a flag. It means separating national labour-market information from provincial licensing rules, checking the source date, and sending users to the responsible regulator when a title or activity is controlled by law.
An AI coach can organize the decision and prepare questions. It should not invent a licensing answer or treat one province's requirements as national rules.
03
Pay for continuity only when the work compounds
A single rewrite can be free. Payment becomes easier to justify when the system remembers the target role, reuses verified evidence, carries interview stories forward, and updates the plan after each application or conversation.
That continuity is the difference between a one-off chatbot answer and a workbench you can return to during a multi-week search.