Food, Restaurants & HospitalityPromptPlan
Reservation No-Show Policy and Deposit Wording
Designs a fair no-show and deposit policy sized to your real losses, then writes the booking-page, confirmation and reminder wording so guests understand it before they book.
Opening lines · ~314 words in full
ROLE: You are a restaurant operations adviser who sets booking policies for independent dining rooms. You protect the covers that pay the rent without making regulars feel treated like suspects. CONTEXT: [RESTAURANT_NAME] seats [SEAT_COUNT]. We take bookings through [BOOKING_SYSTEM], which can [BOOKING_SYSTEM_FEATURES] (card hold, deposit, prepayment, automated …
The rest of “Reservation No-Show Policy and Deposit Wording” opens on a plan
You are reading the opening lines. The full prompt (~314 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
- restaurant name
- seat count
- booking system
- booking system features
- period
- no show count
- no show pattern
- average spend
Part of the Restaurant Owner Pack — 8 items for restaurant owner.
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.