AI assistant · N5 Complete system
Operating Template Builder for Restaurants
Pick the form above —opening, closing, goods-in, temperatures, cleaning, till, inventory or maintenance— and the assistant builds it for YOUR operation: each with its owner, its hour of use and its retirement rule, and with THE BLANK SHEET that prints landscape and is filled in with a pen, in a plantillas_operativas.html with the print button inside. You start with THREE: the form nobody fills in is decoration.
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 levelIs this for you?
What it does and what you get
- Generic internet forms die in a folder: they ask for data your house doesn't use, ignore what your house does need, and nobody fills them after week one.
- This assistant builds the templates of YOUR real operation: it asks what gets opened, closed, received and checked, and builds each format to measure — with an owner, an hour of use and the why of every box.
- The house rule runs against enthusiasm: you start with THREE templates, not twenty, and the monthly review retires the one nobody filled — because a wall of empty forms trains the team to ignore them all.
What you end up with
The plantillas_operativas.html file, printable with its button inside and with the nineteen sections of the standard: the operation census with the risk of each moment; the inventory prioritised by the money each form protects, with the figure that sustains it and the verdict; THE ECONOMICS OF THE THREE FORMS —what each costs in team hours a year, what it protects in money, and the return in money protected per hour, the column that decides what gets cut on the day someone is missing—; the first THREE in two sections each —the design box by box with the reason for every box, and THE BLANK SHEET that prints landscape, with its header, its grid and its signatures—; the three owners of each form in a single table; the monthly routine with the compliance indicator, the retirement rule and the entry condition for the fourth; the open items; change control; the acknowledgement of receipt; and the self-audit, computed on generation.
EXAMPLE This is what you getAn example built with Sazón de Origen, one of the house's fictional businesses.Not your data: your result is built with YOUR restaurant's.See the full example →Sample result
The owner asked this: «In both sites the sanitiser solution is mixed by eye, the walk-ins get washed on Monday if there is time left after the count, and the FOR-COC-07 cleaning plan is still undesigned. I want the kitchen cleaning and sanitising templates, each with its sheet ready to hang.»
| Candidate template | The money it protects | Figure that supports it | Priority | Verdict |
|---|---|---|---|---|
| Sanitiser preparation and concentration | Excess chemical and the day closed over sanitising that does not sanitise | 5,814,000 COP a year | 1 | FIRST · FOR-COC-28 |
| Walk-in and fridge washing | Waste hidden at the back and the walk-in failure | 4,616,460 COP a year | 2 | SECOND · FOR-COC-29 |
| Deep-cleaning plan | The day closed over pests or deep dirt | 2,368,000 COP a year | 3 | THIRD · FOR-COC-07 |
| Chemical use per litre against the dose | Chemical bought in excess | No data: chemical purchases are not split out today | 4 | Cannot be born first: it needs the dose that FOR-COC-28 provides |
| Dishes, filters, grease trap, dry store, closing and the purple-kit swab | Already protected | FOR-TAL-34, FOR-TAL-35, CHK-COC-03 and FOR-COC-12 | — | Not born: it would duplicate |
SUPUESTO: a 50 % “by eye” overdose of product per preparation and one day of a site closed every 2 years per site over out-of-range sanitising. These are not industry figures: they are the house's own assumptions, with their basis in Pending items. With a 30 % overdose, FOR-COC-28 protects 4,909,200 COP and stays first.
| Template | Hours a year | Money protected a year | Yield per hour |
|---|---|---|---|
| FOR-COC-28 | 45.9 h | 5,814,000 COP | 126,667 COP/h |
| FOR-COC-29 | 9.07 h | 4,616,460 COP | 508,981 COP/h |
| FOR-COC-07 | 12.77 h | 2,368,000 COP | 185,435 COP/h |
| All three | 67.8 h | 12,798,460 COP | 188,768 COP/h |
One team hour costs 13,718 COP: 2,496,667 COP of loaded cost ÷ 182 h. The 67.8 h are worth 930,080 COP and the strips, 1,357,200 COP a year (3,016 × 450). Total control costs 2,287,280 COP. For every peso of control, the three protect 5.6. The cleaning work itself is not in the sum: it is done with or without a sheet; what the sheet costs is writing it down and reading it.
The day people are short: none is dropped. FOR-COC-28, the one with the lowest yield per hour, goes down to sampling under its written rule; that day's FOR-COC-07 tasks move to the same hour the next day.
| Hour | Use | Who mixes it |
|---|---|---|
| 06:55 | S · production surfaces and cloths | Kitchen and dishwashing assistant |
| 09:30 | V · vegetables eaten raw | Production cook |
| 11:00 | S · fresh solution for the peak | Kitchen and dishwashing assistant |
| 13:30 | S · change during the peak | Kitchen and dishwashing assistant |
| 18:00 | S · evening solution (not on Sunday) | Cold line and assembly cook |
The bucket is filled with cold water to the 8-litre line, never hot. The product goes in with a doser. Reference with 5.25 % hypochlorite: 23 ml give 151 ppm (illustrative; the product sheet rules). The strip is dipped for 1 second and read against the tube's scale; reference range, 100 to 200 ppm. The row is written before the bucket is used.
The reading flow: below range, it is dumped and another is mixed; above range, water is added and it is measured again. Two rows out on the same day: the head chef is told within 15 minutes. For vegetables, the strip is the PRT-COC-02 PRPo: with no strip in range, the vegetable does not go to the line.
Illustrative example generated with a fictional restaurant. Not a promise of results, not a client case.
This is 3 of 5 parts. Behind the wall are **the three blank sheets to print** (Annexes A, B and C: the daily solution sheet, the monthly walk-in sheet and the monthly deep-cleaning plan, each with its header, grid, signatures and instructions on the back) and **the monthly routine**: the compliance indicator with each template's target, the retirement rule, the sampling rule for the day people are short, how long the paper is kept and the single version.
See the full example — free accountWorks with these AIs
How to use it
Which of your data it uses
This assistant works with 9 of the 24 fields in «My Restaurant», among them Restaurant name, Business type and Cuisine or concept. 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.
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.
v1.2.32026-09-23Professional document audit (2026-09-23): the expected result promised sixteen sections and the body builds nineteen. Both now say nineteen.v1.1.02026-08-25Body rewritten to pay down duelo debt: it scored 66.0 out of 90.0. TWO signals read ZERO. `cifras` was 0 out of 12 on a card whose deliverable is measured end to end —a template is filled in seconds, read within days and retired within a month— and there was not one figure with a unit in 708 words: the 90-second fill, the 5 min of the shift, the 4 weeks of the census and the 30 days to first reading now come in. `lexico` sat at 0 out of 10: a workshop for operating forms that never named food cost, waste, inventory turnover, standard recipe, portion weight, portioning, costing sheet, order ticket, star dish, labor cost, sales channel or delivery — which are exactly the money each template protects. On top of that `metodo` was 3 out of 6 (the TASK was prose) and `verificacion` 2 out of 5 (the checks were questions strung after a single verb). Rises to 97.5.v1.0.02026-08-15Initial version. Born in batch 11, the first artifact of the c26 manuals family, with the full lead-magnet kit and a Sazón de Origen example. Its rules: three templates not twenty, every box with a why, and the one nobody fills retires with a written reason.v1.2.02026-09-21The file stops being a laid-out text and becomes an OPERATING DOCUMENT under the docs/54 standard: fifteen sections, control cover with code and version, owners with signature, change control, acknowledgement of receipt and a computed self-audit. And what was really missing comes in: each form takes TWO sections —the design box by box and THE BLANK SHEET that gets printed and filled in with a pen—, because a form is not read, it is filled in every day. The sheets print landscape: nine writable columns do not fit a portrait A4, and shrinking them until they do gives rows a pen does not fit into (measured). Also added: the mandatory figure that sustains each candidate priority, the risk per moment in the census, and saying which of the waiting ones CANNOT be born first because they count what nobody weighs today. · SAME-DAY AUDIT: section 4, THE ECONOMICS OF THE THREE FORMS. Measured on Kōyō, goods-in returns 692 USD per hour and delivery packing 41 — seventeen times less — and that is the one reduced to sampling when someone is missing, not the one dropped.v1.2.12026-09-21Same defect as its twin MPV-0616, fixed in the same pass: the BEFORE YOU DELIVER block had been written as a list of counts with no floor. Every point gets its checking verb back and keeps its count, and two missing floors are written down: the 5 min per form and the 24 px writing-line height.More assistants in this category
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Included in the always-growing library
Access to every published assistant, adapted to your AI and personalised with your restaurant's data, updates included.