Translate a business need into a clear task, inputs and expected output. Decide what a useful result looks like and where human review is necessary.

Combine instructions, relevant context, examples and output formats. Practise setting boundaries and removing ambiguity without assuming an AI tool will follow every instruction perfectly.

Separate fixed instructions from the details that change between tasks. Build a small prompt library with input guidance and worked examples.

Break a complex task into manageable stages such as research, drafting and review. Map how information passes between steps and include checks before moving forward.

Compare results against a simple evaluation checklist using varied test inputs. Identify unsupported claims, missing details and inconsistent formatting, then refine the workflow.

Create a practical guide covering inputs, review responsibilities and escalation points. Prepare a small pilot plan before using the workflow more widely.