AI assistant · N5 Complete system
Infinite Content Builder from a Sample Video for Restaurants
Your best video has a DNA: hook, rhythm, structure and close. This assistant takes it apart, learns WHY it worked and builds new scripts with that mold — different topics, winning mold — until the numbers ask for a new one.
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 110 of the 164 published assistants are at this levelIs this for you?
What it does and what you get
- Every restaurant has ONE video that outperformed the rest — and almost none knows why, so the next one gets invented from scratch and luck is gambled again.
- This assistant turns that video into a mold: it takes apart its hook, rhythm, structure and close, names the reason it retained, and with that DNA builds new scripts on different topics from your house.
- The Multiplier derives 30 pieces FROM the recorded material and the Converter trims the long stuff; THIS one doesn't touch the material — it learns from the winner and builds new material, week after week, with the anti-clone rule written down.
What you end up with
The sample video's DNA — hook, structure, rhythm, close and the why of its retention, in a table with verdict —; the first batch of new scripts on that mold over different house topics; and the operating pack with weekly calendar, 7-day reading, the batch routine and the anti-clone rule that says when to change molds.
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
The owner asked this: «I have a stew video that did 40,000 views and nothing since has worked again. I do not know what was different about it.»
The first job is separating the reusable structure from the disposable subject. This is where almost everyone gets it wrong.
| Piece | What it does | Why it retains | Mould or topic? | Verdict |
|---|---|---|---|---|
| Hook (0–3 segundos) | A hand splitting firewood, no speech | Real movement and sound before any explanation | Mould | In: the rule is to open with hands working |
| Structure | Process in 5 time jumps | Each jump promises the next state | Mould | In: 5 jumps, not 3 and not 12 |
| The stew | The dish in the video | It did not retain for being stew | Topic | Out: it changes in every piece |
| Close | Dish served and the house name | Closes the loop the hook opened | Mould | In, but the house picks the dish |
The reason, in one line: the stew did not win — the process told with time jumps and opened with hands working did.
SUPUESTO: the reference retention used is that of the house's own winning video, not a network average. If its real retention were lower than the owner remembers, the anti-clone threshold drops with it and the mould gets retired sooner.
Three scripts inheriting the complete mould. None shares a topic or a first line.
Piece 1 · Lens: the craft. Hook (0–3 segundos): hands kneading, no voice. Five jumps: dough, rest, oven, cut, plate. Close: «This is how the house empanada is made» and the dish name exactly as it appears on the menu.
Piece 2 · Lens: the character. Hook: doña Rosa's hands peeling, tight shot. Five jumps: peeling, sofrito, pot, taste, served. Close: the dish the house wants to move this week.
Piece 3 · Lens: the ritual. Hook: the shutter going up at 6 in the morning. Five jumps: market, mise en place, first pot, first table, first plate.
A note printed on the pack itself: the close names the dish with the largest margen de contribución the house wants to move, not the most photogenic one. A mould that fills the table with the wrong dish works against the mix de ventas.
Illustrative example generated with a fictional restaurant. Not a promise of results, not a client case.
This is 2 of 3 parts. Behind the wall are **the operating pack and the anti-clone rule**: the calendar with its filming owner, the double indicator read at 7 días —retention and portions sold, together—, and the threshold that retires the mould when it stops performing 2 weeks straight.
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 23 fields in «My Restaurant», among them Restaurant name, Business type and Your main guest. 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.
v1.1.02026-08-25Body rewritten to pay down duelo debt: it scored 60.1 out of 90.0, the lowest in the batch. Trade `lexico` was at ZERO —a restaurant content card that named neither the plato estrella nor the mix de ventas nor the covers the content is supposed to move—, `verificacion` read 1 of 5 and `cifras` 3 of 12; the method also ran as flat prose and `metodo` counted 3 of 6 steps. The TASK is now six numbered steps that inject «fields» (required by arraigo, which flagged 0 fields in the working sections), BEFORE YOU DELIVER carries five explicit checks, and the SUPUESTO line makes the AI declare which retention it takes as a reference instead of the house hard-coding one. What is proper to the card is kept: the mould separated from the topic, the batch of new scripts and the anti-clone rule with its threshold. The body still works from the video as DESCRIBED by the owner, not from an uploaded file: the card requires no video capability and that is why its three AIs still stand. Rises to 95.5.v1.0.02026-08-15Initial version. Born in batch 11 with the c11 trio differentiation settled in writing: the Multiplier derives pieces FROM recorded material, the Converter trims the long stuff, and this one learns the winner's MOLD and builds new material. With the full lead-magnet kit and a Sazón de Origen example.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.
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Access to every published assistant, adapted to your AI and personalised with your restaurant's data, updates included.
