ThinkWithPrompt by SynotticThinkWithPrompt

Write to my elected representative about an issue I care about

A short, personal, persuasive letter or email to a local, state, or national representative, plus a phone script.

Writing & EditingFew-ShotStandardWritingWriteFill-in Template

The prompt

Help me write to my elected representative. Representative and level: [e.g. city council member, state legislator, member of parliament or congress] I'm a constituent in: [CITY/DISTRICT] The issue: [e.g. a proposed bill, a local bus route being cut, a benefits problem, school funding] My position: [support / oppose / ask for help with a specific case] Bill name or number, if any: [DETAILS or "none"] How it affects me personally: [my story, in a few sentences] What I want them to do: [e.g. vote yes, hold a public meeting, help with my case at an agency] Requirements: - Open by saying I'm a constituent and naming the issue in the first two sentences. - One clear ask, stated early and again at the end. - One short personal story - this matters more than general arguments. - One or two facts, only if I've provided them. Don't invent statistics; use [ADD SOURCE] where a fact would help. - Respectful tone, even if I disagree with them. Under 250 words. - If I'm asking for help with a personal case (e.g. a stuck benefit claim), include the details their staff need and placeholders for case numbers [CASE NUMBER], and note that they may need my written consent to contact the agency. Return: 1. The letter or email with a subject line. 2. A 30-second phone script for calling their office. 3. A short follow-up if I don't hear back in [NUMBER] weeks.

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • CITY/DISTRICT
  • support / oppose / ask for help with a specific case
  • DETAILS or "none"
  • my story, in a few sentences
  • ADD SOURCE
  • CASE NUMBER
  • NUMBER

How this prompt is built

This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.

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