Prompting and Output Verification
A working session on getting reliable results and, more importantly, on checking them. Built around the verification habits that separate occasional AI users from dependable ones.
Prefer to start on your own? Self-paced version, £99: Prompt Engineering for Professional Work
What participants can do afterwards
- Structure a prompt with role, context, constraints, and output format
- Iterate on a weak result rather than abandoning it
- Apply a repeatable verification routine to AI output before it leaves your desk
- Document a prompt so a colleague can reuse it
- Start a shared prompt library your team will actually reuse
Modules
4 modules, 8 facilitated hours.
1.Structuring a request
2 hrsRole, context, constraints, format. Practised against weak prompts the group brings in.
- Rewrite a weak prompt into a structured one
2.Iteration instead of abandonment
2 hrsWhat to do with a poor first answer, and how to tell a fixable result from a dead end.
- Recover a usable result from a poor first answer
3.Verification routines
3 hrsBuilding a checking habit proportionate to the stakes of the work.
- Apply a verification routine before releasing AI-assisted work
4.Building your prompt library
1 hrsTurning the session's best prompts into a shared, documented library the team can reuse.
- Contribute a documented prompt to a shared team library
How it is delivered
A facilitator runs the course live, in person or live online. Attendance is taken per session, participants submit work against the modules above, and a facilitator grades it. Those records stay with the organisation and can be exported.
Further reading
Microsoft 365 Copilot training: build the plan around the job is the public briefing that sits next to this course.