Who is this assistant for?

A one-star landed and you have spent three days not knowing what to write. You give away a dish every time somebody complains, just in case. You answer when you remember to, and sometimes you do not. Every answer of yours says "we are sorry for the inconvenience, the team".

The one- and two-star review is the one most people read and the only one that gets worse on its own when it is answered badly. This assistant separates the review carrying a checkable fact from the one carrying an opinion, decides what is answered in the open and what moves to private, and puts arithmetic where there is usually only nerves: the gesture is costed at recipe cost and carries a monthly ceiling, because compensating as a rule teaches that complaining pays. It also brings the repertoire of the four themes that actually arrive —cold food, an inattentive server, the wait and price— which change what is admitted without changing the method.

AI assistant · N5 Complete system

◆ Included in the annual plan⭐ Reviews, Reputation and Automated Messagingv1.1.1 · 2026-08-26

Negative Review Response Builder for Restaurants

Turns a one- or two-star review into an answer you can post: what is admitted, what gets replaced and what does not, within what deadline, through which channel and signed with a name.

Depth

15/23

Your data

Compatible AIs

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 110 of the 164 published assistants are at this level

Is this for you?

What it does and what you get

The one- and two-star review is the one most people read and the only one that gets worse on its own when it is answered badly.
This assistant separates the review carrying a checkable fact from the one carrying an opinion, decides what is answered in the open and what moves to private, and puts arithmetic where there is usually only nerves: the gesture is costed at recipe cost and carries a monthly ceiling, because compensating as a rule teaches that complaining pays.
It also brings the repertoire of the four themes that actually arrive —cold food, an inattentive server, the wait and price— which change what is admitted without changing the method.

What you end up with

Five chained deliverables: the card for each review with its verdict, the public answer ready to paste, the compensation rule with its monthly ceiling, the clock with deadlines and signatures, and the repertoire of the four themes.

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: «They left me two stars on the search profile: says they waited 45 minutes for cold pasta on a Saturday at 9 at night. Do I answer? Do I comp the dinner?»

First it gets split in two. The fact is checked against the comanda; the opinion is attended to without granting what nobody can verify.

Review	Stars and channel	Checkable fact	Verdict	Who signs
«45 minutes for cold pasta»	★★ · search profile	The comanda shows 38 min between order and pass	Conceded: it landed in Saturday's full band	Marcela, floor manager
«This place is wildly expensive»	same text	Not verifiable — an opinion about price	Neither granted nor denied	—

The hour crossed against the strong bands confirms it: Saturday 21:00, full dining room. The wait is real and is explained by the ocupación and the table rotación of that night — which is exactly why it gets conceded without argument.

SUPUESTO: the monthly compensation cap used is the one the house declares in writing, not a textbook figure. If the real cap were half, this replacement still fits but the next one this month does not, and that case becomes an apology with no gesture.

Four lines: the fact, what changes in the house, the signature with role and the way out. No dates, no internal figures, no arguing.

You are right: that Saturday the kitchen ran late and your pasta arrived cold.
We changed the pass order in the full band so the hot dish does not wait for the rest of the table.
Marcela, floor manager.
Write to me on the private channel and I will replace the dish on your next visit.

What was NOT done, and this is the point: there was no arguing over whether it was 45 or 38 minutes —winning that argument in public means losing the forty who read it later—, it was not pushed to private in the first line, and no takedown was requested.

Case	What gets conceded	What does NOT get compensated	Cost of the gesture	Monthly cap
Cold dish with a comanda confirming it	The wait and the temperature	The whole bill or the drinks	The dish at receta estándar and its food cost	The one the house declared

The charge is refunded, not the taste: the gesture is costed on the receta estándar and never on the menu price.

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 clock per channel, the four-theme repertoire and the log**: the deadlines with their owner and what happens if nobody answered, what gets conceded in each of the four themes that actually arrive, and the Monday review with the outcome at 30 días that says what to fix in the kitchen rather than on the profile.

See the full example — free account

Works with these AIs

Claude — the best for this assistant The best fit here: it holds the discard —why this review gets nothing— without softening it in the written answer, which is where most models give in.

How to use it

Gather the one- to three-star reviews still sitting unanswered, with their literal text, their stars and the date and hour of the visit.

Pick what you need on the card —which review came in (negative, positive, lukewarm three-star, fake or unfair)— and the assistant reframes itself: you don't need another prompt.

Copy the assistant into your AI along with your business details and paste the reviews one by one, without fixing their spelling.

Answer what it asks about the docket for that hour: without that contrast there is no checkable fact and the reply stays an apology.

Paste each answer yourself onto the matching profile and write it into the log it hands you, with its theme and its stars.

Which of your data it uses

of 23

This assistant works with 15 of the 23 fields in «My Restaurant», among them Restaurant name, Business type 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 nameBusiness typeCity and countryWhat makes you differentActive sales channelsActive social channels (with the @ or the link)Your main guestStrong and slow daypartsBest-selling dishesMenu price rangeApproximate food cost (%)Communication toneTeam sizeAverage check (with currency)Main goal this year

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.

Which review came in

negativepositive