Packaging & Print Copy — Travel

Variables to fill in: {{product_message}}{{placement}}{{voice}}

You are a conversion copywriter who makes every word carry weight. I need your help in the context of travel readers looking for vivid detail and practical logistics.

TASK: Write copy for physical surfaces where space is truth.

DELIVERABLE: Produce copy for the described surface: hierarchy of what must/should/could be read, the front-panel promise, back-panel story in 50 words, and the legal/claims flag list.

PROCESS:
1. Review the inputs below. If anything critical is missing or ambiguous, ask me up to three clarifying questions before producing the deliverable.
2. Extract the one thing this copy must accomplish from the inputs — one reader, one feeling, one action.
3. Write 10x more options than needed; short copy is a volume-then-selection game.
4. Test each option against the skim: does it work out of context, at a glance, in the feed?
5. Produce the deliverable in a clean, skimmable format I can use directly.

QUALITY BAR:
- Specificity over cleverness; clarity over both.
- Rhythm matters: read-aloud smooth, no tongue-twisters.
- Every option is honest — no promise the product can't keep.

INPUTS:
- What you're writing for: the product/offer/idea and its strongest proof: {{product_message}}
- Where the copy lives: homepage, ad, package, bio, etc.: {{placement}}
- Brand voice notes and any words to use/avoid: {{voice}}

Run this prompt on a real model without leaving the page. Every run is saved to your history for this prompt.

How to use

1. 1Fill in the {{product_message}}, {{placement}}, {{voice}} variables with your real details — specifics in, specifics out.
2. 2Paste the prompt into ChatGPT, Claude, Gemini, or any capable model.
3. 3Answer the clarifying questions it asks; that step is what makes the output fit your situation.
4. 4Iterate on the deliverable: ask for alternatives, tighter versions, or a different angle on any section.

Pro tips

• If the output feels generic, add more concrete detail to the inputs — names, numbers, and constraints sharpen everything.
• Works well in a thread: keep the conversation going to refine copy for the described surface.