ThinkWithPrompt by SynotticThinkWithPrompt

Write a repair request to my landlord

A clear, polite, and documented repair request that gets action, plus a follow-up if nothing happens.

Personal Life & WellbeingFew-ShotStandardLegalWriteFill-in Template

The prompt

Help me write a repair request to my landlord or property manager. Problem: [e.g. "no hot water", "leak under the kitchen sink", "broken window lock", "mold in bathroom"] When it started and how it affects me: [DATE, impact on daily life, health, or safety] What I've already done: [e.g. "texted on May 3, no reply", "put a bucket under the leak"] How I'll send it: [email / tenant portal / letter / text] Lease terms on repairs (optional): [PASTE CLAUSE] Location: [CITY/STATE - tenant rights vary] Write: 1. A short, polite, factual request: the problem, when it started, its impact, what I'm asking for, and a reasonable date for a response. Offer access times. Keep it calm and specific. 2. A list of what to document: dated photos or video, copies of all messages, and any costs. 3. A firmer follow-up message if there's no response by my date, still professional. 4. General information on next steps if repairs aren't made (e.g. contacting a local housing or code enforcement office), and a reminder not to withhold rent or make deductions without checking my local law and lease first. If the problem is urgent or dangerous - gas smell, sparking or burning smell from outlets, flooding, no heat in freezing weather, sewage - tell me to contact the landlord's emergency line or emergency services immediately, not wait for email. This is general information, not legal advice; for a dispute, contact a tenant-rights organization or legal aid.

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

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What to fill in

  • DATE, impact on daily life, health, or safety
  • email / tenant portal / letter / text
  • PASTE CLAUSE
  • CITY/STATE - tenant rights vary

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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