ThinkWithPrompt by SynotticThinkWithPrompt

Choose where to go on my next vacation

A shortlist of destinations matched to your budget, dates, and travel style, with honest trade-offs to help you decide.

Personal Life & WellbeingFew-ShotStandardBrainstormFill-in Template

The prompt

Help me choose a destination for my next vacation. When and how long: [DATES or MONTH, and number of days] Starting from: [MY CITY or nearest airport] Total budget: [AMOUNT and currency, and what it must cover] Who is going: [solo / couple / friends / family - include kids' ages] What I want from this trip: [e.g. rest, food, nature, culture, nightlife, adventure] What I want to avoid: [e.g. long flights, crowds, extreme heat, lots of driving] Places I'm already considering: [LIST - or "none yet"] Places I've already been: [LIST] Steps: 1. Suggest 5 destinations that fit, including at least one I probably haven't considered. 2. For each, give: why it fits me, the best area to stay, rough travel time from my starting point, weather to expect in my month, likely crowd level, and the main downside. 3. Note anything that varies by season (rainy seasons, holidays, closures) and anything I should verify, such as entry rules or travel advisories. Do not quote specific prices as fact; describe cost level as budget / moderate / expensive and tell me to check current fares. Return a comparison table, then your top pick with a two-sentence reason, then 3 questions that would help me decide between the top two.

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

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What to fill in

  • DATES or MONTH, and number of days
  • MY CITY or nearest airport
  • AMOUNT and currency, and what it must cover
  • solo / couple / friends / family - include kids' ages
  • e.g. rest, food, nature, culture, nightlife, adventure
  • e.g. long flights, crowds, extreme heat, lots of driving
  • LIST - or "none yet"
  • LIST

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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