Engagement format
Team Training and Mentoring
Work on the participant’s real problem, ending with a working artifact and quality criteria.
Describe the taskProblem framing
What must be resolved
A team knows the tool names but has not practised turning its own workflow into a specification, artifact, test, and safe improvement cycle.
Fit
Suitable for
For teams and individuals learning RAG, agent workflows, Legal AI, and AI-native development.
Deliverables
What remains after the engagement
- Work plan
- Repository or prototype
- Tests
- Next-experiment list
Process
How the work proceeds
- 01Level diagnostic
- 02Task
- 03Iterative work
- 04Review
Boundaries
Risks checked early
- Topic too abstract
- No practice time
- No test data
FAQ
One practical question
Can we work on our own project?
Yes, when context and anonymised examples can be shared safely.
Scope and cost
Evidence before an estimate
I do not publish a fictional ‘from’ price. Scope and estimate follow a review of the workflow, material access, risk, expected artifact, and acceptance criterion.
Start by describing the workflow
The first response will identify whether this format fits and what is needed for an honest scope.