PlaybookPrompts

Rewrite a canned support reply to sound human

Customer Support supporttone

Canned responses get read like canned responses. This prompt keeps the answer's content intact while removing tells.

Prompt 
Rewrite this canned support response so it reads as written for this specific customer. Keep the technical accuracy and the policy. Remove canned tells ("thank you for reaching out", "we understand your frustration", "please don't hesitate").

Customer's message:
{{CUSTOMER_MESSAGE}}

Canned response:
{{CANNED_RESPONSE}}

Rules:
- Mirror the customer's tone unless they're abusive (then de-escalate).
- Lead with the answer, not the apology.
- Apology only if a mistake was actually on our side, and only once.
- End with a concrete next step or 'no action needed' — never 'let me know if you have any other questions.'
Variables to fill in
  • {{CUSTOMER_MESSAGE}}
  • {{CANNED_RESPONSE}}

How to use this prompt

  1. Copy the prompt above (Copy button on the top-right).
  2. Replace each {{VAR}} with your own value. Variables: {{CUSTOMER_MESSAGE}}{{CANNED_RESPONSE}}.
  3. Paste it into one of the recommended tools below.
  4. Iterate: tighten constraints in the prompt if the output is generic.

Why this prompt is structured this way

The prompt is split into explicit steps because LLMs do better when the path is named, not implied. Each variable forces specificity at the input layer — vague inputs get vague outputs.

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Pair this prompt with a tool

Grammarly

$12/mo

Grammar, tone, and clarity across every app.

Grammarly remains the default for grammar + tone checking. The 'Grammarly Go' generative features are catching up but are not the main reason to subscribe.

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Claude (Anthropic)

$0/mo (Pro at $20)

Frontier model with long context and strong reasoning.

Claude (Opus / Sonnet / Haiku tiers) is the assistant favored by writers and engineers who care about reasoning quality and tone. 1M token context on Opus.

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