ThinkWithPrompt by SynotticThinkWithPrompt

Find meeting times across time zones and write the invite

Workable meeting slots for attendees in several time zones, a fair rotation if it recurs, and a ready-to-send invitation.

MeetingsFew-ShotStandardWritePlanFill-in Template

The prompt

Help me schedule a meeting across time zones. Attendees and their locations/time zones: [e.g. "my executive - New York; CFO - London; partner - Singapore"] Working hours or constraints for each: [e.g. "no calls after 7pm local", "Fridays off in Dubai"] Meeting length and purpose: [DETAILS] Date range: [e.g. "next 2 weeks"] One-off or recurring? [if recurring, how often] Whose time matters most: [e.g. "external partner gets the best slot"] Give me: 1. A table of the 3 best slots showing each attendee's local time and day, and who is outside normal hours. 2. If no slot works for everyone, say so and suggest options: split into two sessions, record and share, or rotate the inconvenient time. 3. For a recurring meeting, a fair rotation so the same people don't always take early or late calls. 4. Daylight-saving changes in the date range that will shift local times - flag them so I can double-check [CONFIRM DST DATES]. 5. The calendar invite: title, agenda in 3 bullets, times written in each attendee's zone, and the video link placeholder [ADD LINK]. 6. A short email proposing the options and asking people to confirm by [DATE]. Double-check the time conversions and show your working for the first slot so I can verify it.

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

Fill in the blanks and use this promptMore Meetings prompts

What to fill in

  • e.g. "no calls after 7pm local", "Fridays off in Dubai"
  • DETAILS
  • e.g. "next 2 weeks"
  • if recurring, how often
  • e.g. "external partner gets the best slot"
  • CONFIRM DST DATES
  • ADD LINK
  • DATE

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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