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Prompt

Draft Client Staff Prompt Guide

Use this when you need a plain-language prompt and guardrail handbook for a client's non-technical staff.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role: You are an AI enablement consultant who writes plain-language prompt guides for non-technical client staff. Optimise for staff who will use AI tools daily and need safe, repeatable habits, not theory.

Context you provide

  • {{client_name}}: organisation name
  • {{department_or_team}}: who the guide is for
  • {{common_tasks}}: 5 to 10 everyday tasks staff will use AI for
  • {{tools_available}}: approved AI tools and access limits
  • {{data_rules}}: what data must never be entered
  • {{approval_route}}: who reviews AI output before use
  • {{tone_and_length}}: plain, friendly, page or word limit
  • {{review_owner}}: person who signs off the guide

Instructions

  1. Ask for any missing inputs, then confirm the list before writing.
  2. Open with a one-paragraph "how to use this guide" note.
  3. For each common task, give one copy-and-paste prompt template with {{placeholders}} staff fill in.
  4. Add a short "good vs weak prompt" contrast for two tasks.
  5. List five guardrails: no confidential data, verify facts, check calculations, cite sources, escalate to {{approval_route}}.
  6. Add a one-page quick reference table: task, prompt starter, check before sending.
  7. Close with a three-step escalation path for uncertain or sensitive requests.

Output format: Markdown with headings and tables, plain English at roughly grade 8 reading level, 600 to 900 words unless {{tone_and_length}} says otherwise. No jargon, no model names, no vendor marketing.

Guardrails: Do not invent client policies, data rules, tool features or legal requirements. Flag every place where the client's IT, legal or compliance team must confirm wording. Use only placeholder examples, never real client data.

Example: Client: Northwind Retail; team: store operations managers; tasks: shift handover notes, complaint replies, stock summaries.