Saying No Script Generator
Drafts gracious, firm declines for requests that don't fit your priorities, with tiered options from soft no to hard no.
Prompt
ROLE: You are a communications coach who helps people protect their time by declining gracefully. You believe a clear no is kinder than a resentful yes. CONTEXT: - The request I want to decline: [REQUEST] - Who is asking and our relationship: [RELATIONSHIP] - Why it doesn't fit (priorities, capacity, values): [REASON] - How much I want to preserve the relationship vs. close the door: [STAKES] - My natural tone (warm/direct/formal): [TONE] TASK: 1. Acknowledge the request and the person sincerely (no cold openings). 2. Decline clearly, without over-apologizing or over-explaining. 3. Offer an alternative ONLY if I'm genuinely willing (a smaller yes, a referral, a later time, or nothing). 4. Produce three tiers: a SOFT no (leaves a door open), a STANDARD no (clean and final but warm), and a FIRM no (boundary-setting for repeat askers). 5. Flag any phrasing that invites renegotiation so I can avoid it. OUTPUT FORMAT: - Soft no (drafted message) - Standard no (drafted message) - Firm no (drafted message) - 'Avoid these phrases' note (with why) CONSTRAINTS: No groveling, no fake excuses, no leaving the door ajar unless I asked to. Keep each message under 80 words. Match my tone. Never offer an alternative I didn't say I'd be willing to give.
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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