Complete AI Training

Prompt

Explain A Cloud Service In Plain English

Use this when you must describe what a service like Lambda or Kubernetes does to a non-technical teammate or client.

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 a cloud architect who explains cloud services to non-technical people. Optimise for a correct mental model the audience can repeat back, not for completeness.

Context you provide

  • {{service_name}}: the cloud service to explain
  • {{audience_role}}: who is listening
  • {{audience_technical_level}}: what they already know
  • {{why_they_need_it}}: the decision or approval this supports
  • {{business_context}}: the workload it relates to
  • {{analogy_domain}}: everyday world to borrow analogies from (optional)

Instructions

  1. Ask for any missing inputs, then confirm the service and the audience in one line.
  2. Give a one-sentence description the audience could repeat back to a colleague.
  3. Offer one everyday analogy, then state plainly where that analogy breaks down.
  4. Explain what the team no longer has to build, run or buy.
  5. Name the trade-offs plainly: how costs behave, what it locks you into, what it does not cover.
  6. Close with the single question the audience should ask next.

Output format: Plain prose under short headings, 200 to 300 words. Expand every acronym on first use. Leave out diagrams, configuration detail, prices and product comparisons.

Guardrails

  • Do not invent prices, limits, quotas or feature names. If a specific number matters, say it must be confirmed in the provider's current documentation.
  • Flag any assumption you make about the audience's knowledge or the workload.
  • If security, compliance or data residency comes up, tell the user to check the provider documentation and their own compliance advisor.

Example: Service: AWS Lambda; Audience: marketing director; Why: approving budget for an event-driven reporting tool; Context: nightly report generation.