ThinkWithPrompt by SynotticThinkWithPrompt

Plan a family vacation that works for kids and adults

A kid-friendly trip plan with a realistic daily pace, nap and meal timing, and something for every age in the family.

Personal Life & WellbeingFew-ShotStandardPlanBrainstormFill-in Template

The prompt

Help me plan a family vacation that everyone enjoys. Destination (or ideas): [WHERE - or "help me choose"] Dates and length: [DETAILS] Kids' ages and personalities: [e.g. "4-year-old who still naps, 11-year-old who loves animals"] Adults' wishes: [what we want to get out of it] Budget level: [budget / mid-range / splurge] Getting there: [flight / car / train, and travel time] Things that tend to go wrong for us: [e.g. car sickness, meltdowns when hungry, picky eaters] Rules: - Plan one main activity per day with a backup for bad weather or tired kids. Leave downtime every day. - Build the day around nap times, meals, and early bedtimes where relevant. - Include at least one activity each child picks and one the adults enjoy. - Suggest kid-friendly lodging features to look for (kitchen, separate bedroom, laundry, pool). - Do not invent specific prices or hours; mark them [CHECK]. Return: 1. A day-by-day plan with morning, afternoon, and evening blocks. 2. A travel-day survival plan: snacks, entertainment, timing, and motion-sickness tips. 3. A safety checklist: meeting point if someone gets lost, a photo of each child each morning, contact card in each child's pocket, and medications. 4. A short packing add-on list just for the kids. 5. A way to let the kids help plan, matched to their ages.

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

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What to fill in

  • WHERE - or "help me choose"
  • DETAILS
  • what we want to get out of it
  • budget / mid-range / splurge
  • flight / car / train, and travel time
  • e.g. car sickness, meltdowns when hungry, picky eaters
  • CHECK

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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