MasterPrompt VaultBY MASTERESTAURANT

AI assistant · N5 Complete system

◆ FREE with an account🍽️ Menu Engineeringv2.1.0 · 2026-10-08
📁 Needs an AI that builds files — Claude with Cowork or Claude Code📊 Works best with an AI that reads Excel or Sheets (Claude for Excel, ChatGPT, Copilot in Microsoft 365) · optional📷 Works best with an AI that sees photos (invoices, dishes, screens) · optional

Menu Engineering Tool Creator for Restaurants

Turns your POS sales, your menu and your costing —as they are— into an interactive menu-engineering report in a single file: what each dish leaves, what to protect, what to fix and what to push, with the month's three decisions in money and their assumption.

N5
Depth
12/24
Your data
1
Compatible AIs
5
Steps to use it
Depth of the resulttap a level to see what you get
◀ Put out today's fireRun the year ▶
🏛️

N5Complete system

Several chained pieces you install and operate over time, with their review cadence. It changes how the business runs, not one decision.

◆ This assistant 117 of the 170 published assistants are at this level

Is this for you?

What it does and what you get

  • Most menus are judged by what sells most, and the best seller is almost never the dish that leaves the most.
  • This assistant has your AI, with the tool's folder (the Menu Engineering Kit), organize your data into a case, and the folder's template does the rest with the house engine: the menu matrix, popularity within each category, cost with its date, the menu and its descriptions, and the minutes of an expert board.
  • The AI does not write the figures: the engine calculates them, the same way every time.
  • What is missing from your data is not invented: it is stated, with what it changes and how to ask for it.

What you end up with

An interactive single-file report: a dashboard with a headline, four traffic-light figures and the month's three decisions in money; the menu matrix with every dish's card and simulator; cost, mix by daypart and channel, menu copy, seal and a 12-week roadmap; the board's minutes and the technical annex. Plus the list of what is missing from your data.

EXAMPLE This is what you getAn example built with Tizón Norte, one of the house's fictional businesses.Not your data: your result is built with YOUR restaurant's.See the full example →

Sample result

Tizón NorteFictional northern Mexican grill in Mexico City: one location, 110 seats, 4 years open. Fictional house

The owner asked this: «Here is the POS export from May to September, the menu and the chef's costing spreadsheet, which is half done. I want to know which dishes hold me up, which ones eat the cost and what I do this month.»

Deliverable A · REPORTE_tizon-norte-2026-10-01.html, built with the folder's motor/armar_reporte.py: the case meets the schema and the five guardians come out green. This is how it opens:

Tizón Norte, a northern Mexican grill in Mexico City (fictional case). Sales from May to September since the menu change: 31 dishes, 585 POS rows, incomplete costing.

Your menu leaves $1,483,620 in contribution margin a month, and the grill is both what holds it up and what eats the cost.
FigureValue
What the menu leaves a month (before payroll and rent)$1,483,620
How much cost eats (theoretical food cost)33.4 % · house ceiling 32 %
Sales in star dishes21 %
Data confidence87 out of 100

The month's three decisions, in order of money:

  1. Lower the cost of the 300 g Skirt Steak to $126.40 — its food cost is 36.2 %: portion and supplier before price · $11,975 a month (assumption: same units).
  2. Lower the cost of the 400 g Rib Eye to $220.80 before pushing it — 37.5 %: the dish you promote does not go over 32 % · $11,379 a month (same units).
  3. Push the Charcoal Picanha from the menu and the server — it meets the ceiling (30.2 %) and sells little · $9,932 a month (assumption: +15 % units).

Figures in Mexican pesos, illustrative. The report interface is in Spanish today; the figures, dish names and your texts stay in your language.

This is 4 of 5 parts. Behind the wall is how it is built with YOUR data: **the POS mapping** row by row reconciled to the cent, **the to-do list** with what each missing piece of data changes and **the six chat lines** with the owner, the week and the indicator of each decision. The Tizón Norte report is fictional and shown whole: it is exactly what your AI builds for you with the folder.

See the full example — free account

Works with these AIs

Claude — the best for this assistant The best fit here: it reads the POS export and the spreadsheet as they arrive, runs the folder's motor/armar_reporte.py and motor/validar_caso.js and returns the report as one file. Ask it to show you the POS mapping before going on.

How to use it

In «What you need today» keep «the full report»; if you only want to read the mix, cost recipes, the price floor, a new menu or to write the menu, pick that option and the assistant that does that job opens.
In «Where to start» pick the report's focus: the whole menu, what sells, what each dish leaves or the menu that sells.
Download the Menu Engineering Kit —the _MR_IngenieriaMenuUniversal folder— and give your AI the folder, this prompt and your files: the sales-by-item export since the last menu change, the current menu and whatever costing you have, even if half done.
If your AI makes files, it returns the report as a single file; if not, it gives you a caso.json you drop into motor/plantilla_reporte.html, inside the folder.
Look at the bar at the bottom of the report: it tells you whether it is ready to hand over or what is missing, with the message to paste to your AI.

Which of your data it uses

12
of 24

This assistant works with 12 of the 24 fields in «My Restaurant», among them Restaurant name, Cuisine or concept 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.

Restaurant nameCuisine or conceptCity and countryBest-selling dishesDish descriptions (paste your menu)Menu price rangeAverage check (with currency)Average monthly salesApproximate food cost (%)Active sales channelsStrong and slow daypartsTeam 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

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 Tool Creator for RestaurantsN5 · Complete system · FREE with an account Use it free

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