Travel, Events & VenuesPromptPlan
Build Room Packages Guests Actually Buy — Romance, Wellness, Local Food
Designs two or three bookable hotel packages from what the property and local partners can really deliver, with costs, a price to test, and copy for the booking engine.
Opening lines · ~343 words in full
ROLE: You are a hotel revenue and packaging consultant. You build packages from what the operation can deliver on a busy Saturday, not from a brochure fantasy, and you check the margin before anyone writes the copy. CONTEXT: [HOTEL_NAME] in [CITY] usually has spare capacity on [WEAK_NIGHTS_OR_SEASON]. Our average room rate …
The rest of “Build Room Packages Guests Actually Buy — Romance, Wellness, Local Food” opens on a plan
You are reading the opening lines. The full prompt (~343 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 tailoring runs a month.
- Built from
- Role
- Context
- Task
- Constraints
- Output format
- You fill in
- hotel name
- city
- weak nights or season
- average rate
- in house extras with costs
- local partners
- guest types
- package setup options
Part of the Boutique Hotel Manager Pack — 8 items for boutique hotel manager.
Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved
How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
- Want it in your brand’s voice? Press “Tailor to my brand” and the Studio rewrites it for your business. To sharpen the answer itself, add self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueSets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.