MasterPrompt VaultBY MASTERESTAURANT

AI assistant · N3 Analysis with a verdict

◆ FREE with an account🍽️ Menu Engineeringv1.1.4 · 2026-08-28

Menu Engineering Architect for Restaurants

Builds the complete menu engineering matrix for your menu: every dish classified by cash contribution margin and real popularity, with a different action plan per quadrant.

N3
Depth
8/23
Your data
4
Compatible AIs
3
Steps to use it
Depth of the resulttap a level to see what you get
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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

  • Most menus are designed by intuition and corrected by complaint.
  • This assistant turns your sales and costs into a four-quadrant matrix (Star, Plowhorse, Puzzle, Dog), shows where margin is hiding and decides what to do with each dish: protect, re-engineer, reposition or replace.
  • It is the starting point for the whole category.

What you end up with

A table with every dish classified as Star, Plowhorse, Puzzle or Dog, with its cash margin, plus an executive read and a 30-day plan with owners.

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: «Here are my 34 references with units and costs for the last 8 weeks. Put every dish in its quadrant and tell me what to do with each one.»

Extract of the master table, sorted by period margin. Figures in COP, 8 weeks normalized to a month.

DishCategoryUnitsPriceCostUnit marginPeriod marginQuadrant
House platterMains62072,00027,40044,60027,652,000Star
Three-meat sancochoSoups48060,00021,60038,40018,432,000Star
AjiacoSoups35550,00016,50033,50011,892,500Star
Garlic troutFish21066,00021,10044,9009,429,000Star
Charcoal tenderloinMains15562,00021,10040,9006,339,500Star (clears the threshold by 1 unit)
Posta negraMains14054,00016,20037,8005,292,000Puzzle
Grandmother's dessertDesserts24028,0007,00021,0005,040,000Plowhorse
House riceMains19046,00021,20024,8004,712,000Plowhorse
House stuffed breastMains13044,00013,60030,4003,952,000Puzzle
Picada board for twoStarters2268,00029,90038,100838,200Puzzle
Rib brothSoups9528,0008,40019,6001,862,000Dog

Popularity thresholds used (70% of each category's average sales): mains 154 u · soups 139 u · desserts 109 u · fish 78 u · starters 52 u. Menu median unit margin: 25,800 COP.

The full menu splits like this: 7 stars · 11 plowhorses · 9 puzzles · 7 dogs. No reference was left out.

A note on the costings: the house's last costing is 7 months old. That is past 90 days, so all four quadrants are read with a reservation, and it is said out loud: every margin above is a hypothesis until a portion gets weighed in service.

This is 2 of 3 parts. Behind the wall: the **matrix repeated channel by channel** with commission deducted and its SUPUESTO line —three dishes below the contribution floor on the platform— and the **30-day plan** with action, dish, owner, week and expected effect on margin, plus the quarterly review checklist.

See the full example — free account

Works with these AIs

ChatGPT — the best for this assistant The most consistent at computing cash margin row by row and holding the sort without losing references between blocks, which is where long matrices break. Paste your sales as a list of dish, category, units, price and cost, and put the data at the end of the message.

How to use it

Fill in My Restaurant with your priced menu, best sellers and food cost, then export units sold per dish for the last 4 to 8 weeks from your POS.
Copy the assistant into your AI of choice (ChatGPT, Claude or Gemini) and paste that sales list below it.
Answer its questions, receive the matrix with a 30-day plan, and rerun the exercise every quarter.

Which of your data it uses

8
of 23

This assistant works with 8 of the 23 fields in «My Restaurant», among them Cuisine or concept, Best-selling dishes and Dish descriptions (paste your menu). 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.

Cuisine or conceptBest-selling dishesDish descriptions (paste your menu)Menu price rangeAverage check (with currency)Approximate food cost (%)Active sales channelsTeam 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.

More assistants in this category

This assistant is free with an account

Create it and read the whole thing, adapted to your AI and personalised with your restaurant's data. No card, no plan: the free account opens every assistant marked as free.

Menu Engineering Architect for RestaurantsN3 · Analysis with a verdict · FREE with an account Use it free

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