ThinkWithPrompt by SynotticThinkWithPrompt

Decide whether to lend money to family or a friend

A clear-headed decision on lending money, plus kind words for yes, no, or a smaller amount, and terms if you lend.

Personal Life & WellbeingFew-ShotStandardFinanceFill-in Template

The prompt

Help me decide whether to lend money to someone close to me, and how to say it. Who is asking and my relationship with them: [e.g. "my brother", "a close friend"] Amount and what it's for: [DETAILS] Their history with borrowed money: [e.g. "paid me back last time", "still owes me", "never borrowed before"] My financial situation: [savings, debts, upcoming costs] How I'd feel if I never got it back: [fine / upset / it would hurt my finances] What I'm leaning toward: [yes / no / a smaller amount / not sure] Give me: 1. A quick decision check: can I afford to lose this money? Would I lend it as a gift? What does this mean for the relationship either way? 2. Alternatives to a straight loan: a smaller gift, helping in another way (such as paying one bill directly or helping them make a budget), or pointing them to other resources. 3. Three short, kind scripts: saying yes with clear terms, saying no without over-explaining, and offering a smaller amount or different help. 4. If I lend: simple written terms to agree on (amount, repayment schedule, what happens if a payment is missed) and a friendly way to bring that up. 5. One sentence to agree now on how we'll handle a missed repayment, so it's settled before it happens. Keep it compassionate and non-judgmental. Do not pressure me either way.

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

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What to fill in

  • e.g. "my brother", "a close friend"
  • DETAILS
  • savings, debts, upcoming costs
  • fine / upset / it would hurt my finances
  • yes / no / a smaller amount / not sure

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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