MasterPrompt VaultBY MASTERESTAURANT

AI assistant · N3 Analysis with a verdict

◆ Included in the annual plan✍️ Copywriting and High-Impact Campaignsv1.3.0 · 2026-08-25

Reservation Campaign Builder for Restaurants

Builds campaigns that fill specific slots in your reservation book: a weekly demand map, a booking motive per slot, announcement and confirmation copy, and a no-show mechanic.

N3
Depth
8/23
Your data
4
Compatible AIs
4
Steps to use it
Depth of the resulttap a level to see what you get
◀ Put out today's fireRun the year ▶
📊

N3Analysis with a verdict

Crosses YOUR numbers and takes a stand, with a table, units and currency. Not options: a recommendation you can defend.

◆ This assistant 24 of the 164 published assistants are at this level

Is this for you?

What it does and what you get

  • The 8 o'clock table that went unsold tonight cannot be sold tomorrow.
  • This assistant treats your reservations as perishable inventory: it crosses your slow moments with your city's calendar, picks the slots worth the effort and builds the campaign that sells that table, that day, at that hour, with the no-show policy built in from the start.

What you end up with

A classified slot map, a ready campaign sheet per chosen slot with its copy and no-show policy, and a board with three reservation indicators.

EXAMPLE This is what you getAn example built with Sazón de Origen, the house's fictional restaurant.Not your data: your result is built with YOUR restaurant's.See the full example →

Sample result

Sazón de OrigenFictional contemporary Colombian restaurant in Medellín, 2 locations, 6 years in business. Every sample result in the library comes from this same case. Fictional restaurant

The owner asked this: "Our dining room sits half empty on weeknights and on Saturday middays. Bookings come in by WhatsApp and by phone, we have no platform and no proper book, and the main location has 22 tables."

Your house has no reservation platform and this map does not need one. The occupancy below came from counting closed checks by hour over the last 8 weeks at the main location —22 tables, a 2-hour turn— and not from the feeling last Friday left behind. That is the most common trap: a slot looks slow only because nobody writes down what arrives by WhatsApp.

Day and hourTables availableOccupancyStatusPotential
Tuesday to Friday, 12:00–14:302287%Fills on its ownOut of the campaign
Sunday, 12:00–15:002293%Fills on its ownOut of the campaign
Thursday, 19:00–21:302241%SellableHigh
Saturday, 12:00–15:002244%SellableHigh
Friday, 19:00–21:302263%SellableMedium
Saturday, 19:00–21:302276%SellableLow
Tuesday and Wednesday, 19:00–21:302226%HardDiscarded
Sunday, 19:00–21:002219%HardDiscarded

Two slots go in: Thursday night and Saturday midday. Friday and Saturday nights are ruled out because they climb on their own and a campaign would only claim tables that were coming anyway. Tuesday and Wednesday nights leave with their number in plain sight: at 26% that is six tables in the whole room, and no announcement fixes it. Tuesday-to-Friday lunch and Sunday midday stay untouched.

The ceiling comes from the floor. Of the 18 operations people, 9 hold this location and 6 work the night: two servers, a host who also runs the till, and three in the kitchen. Each server covers five tables without crossing tickets, so 10 tables out of 22 are committed to bookings and the other 12 stay open for walk-ins. Occupancy and the shift split are assumed until you check them against the tickets and the real payroll. Illustrative figures, built from the data you gave.

This is 3 of 5 parts. Behind the wall sit the two pieces that get operated on any given Thursday. The full no-show mechanic: the policy written in two lines to send as is over WhatsApp, the release rule —confirmation Wednesday at 7:00 p.m., a second round Thursday at 1:00 and, with no answer by 4:00 p.m., the table goes to the list— and the four-column sheet, Table, Hour, Contact and Outcome, with who makes the call and within how many seconds to resell the released table. And the shift-opening checklist from 5:00 p.m.: the ten committed tables split between the two servers, pots counted against confirmed tables, the waiting list printed on the host stand, the 7:20 holding cut-off and the three figures read on Monday, starting with seated covers.

See the full example — free account

Works with these AIs

Claude con Claude Design — the best for this assistant The only one that COMPOSES the piece instead of describing it: it opens its canvas, builds one artboard per unit and sets the text in place. Ask it for the style contract before the first piece, and have screenshots of your reference account at hand.

How to use it

Be clear about which nights or middays struggle and how bookings arrive today: phone, WhatsApp or platform.
Pick what you need on the card —how far it goes (the text only, the text and the sketch, the text and the designed pieces)— and the assistant reframes itself: you don't need another prompt.
Copy the assistant into your preferred AI and validate the proposed slot map with your floor team.
Publish the campaign for a single slot, track bookings and no-shows for 3 or 4 weeks, then replicate on the next one.

Which of your data it uses

8
of 23

This assistant works with 8 of the 23 fields in «My Restaurant», among them Strong and slow dayparts, Active sales channels and City and country. It does not ask out of curiosity: these are what make the answer speak about YOUR scale instead of an industry average — the same calculation on a business of another size returns a number you cannot decide with. You fill them once and they apply across the library, so the second assistant you open already starts with them in place. Whatever you leave blank, the assistant asks for one thing at a time instead of inventing it, and says so before answering, so you know what it is working from.

Strong and slow daypartsActive sales channelsCity and countryYour main guestWhy they visit (consumption reasons)Menu price rangeAverage check (with currency)Team size

Always up to date

Every assistant carries a visible version and date. When an AI changes how it works, the assistant's version goes up and you see what changed.

Same method, another variant

Inside the app this is a single control: you press it and the assistant reframes itself, including the variants that don't appear here because they don't have their own page yet.

More assistants in this category

Included in the always-growing library

Access to every published assistant, adapted to your AI and personalised with your restaurant's data, updates included.

Reservation Campaign Builder for RestaurantsN3 · Analysis with a verdict · Included in the annual plan See the plan

Exclusively for restaurant leaders

AI Executive · Artificial Intelligence for Restaurants

Make 1 person produce like 5. In 8 weeks you turn Artificial Intelligence into a new productivity department inside your restaurant: content, sales, finance, manuals, automations and specialized assistants.

I want to implement AI in my restaurant →
NEW AI Executive — executive Artificial Intelligence program for restaurant leaders