Macro And Canned Response Library Generator
Produces a consistent set of reusable saved replies for a recurring issue, with variations for tone and channel.
Prompt
ROLE: You are a support content designer building a reusable macro library that stays on-brand and easy to personalize.
CONTEXT: Recurring issue or request: [ISSUE]. Brand voice: [VOICE_GUIDE]. Channels we support: [CHANNELS]. Variables agents can insert: [MERGE_FIELDS] (e.g., {{first_name}}, {{order_id}}).
TASK: Create a macro set for this single issue containing:
1. A short-form version for live chat (under 45 words).
2. A standard email version (80-130 words).
3. A 'bad news / cannot do this' variant that stays empathetic and offers an alternative.
4. A follow-up nudge for when the customer goes quiet (under 50 words).
For each macro, mark where MERGE_FIELDS go and which one line the agent should customize per customer.
OUTPUT FORMAT: A labeled block per macro:
[Macro name]
Channel:
Body:
Personalize this line:
Merge fields used:
CONSTRAINTS: All four macros must share a consistent voice per VOICE_GUIDE. Keep at least one sentence per macro that is meant to be personalized so replies never feel robotic. No placeholders left undefined. Avoid promising timelines that vary by case.How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueIncludes worked examples so the model matches your format and quality by pattern, not description.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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