Works with ChatGPT, Claude, and the Gemini app. Paste this address into your AI assistant — it sets everything up for you.

https://api.smashone.us/mcpHow it works

The road ahead

Built to grow
with you.

Hire one AI employee today and you're standing on a ladder, not a landing. Here's what's working right now, what we're deepening, and where this goes — in the order we're building it.

Hiring a person costs thousands a month. Your first AI employee is $49.

  1. 01Working todaycontent · replies · CRM
  2. 02Being deepened nowphotos · files · cross-sell
  3. 03Sales that don't sleepwin-back · retention · A/B
  4. 04Your tools, worked insidestock · recipes · inventory
  5. 05The employee exchangewhere the ladder ends

Hire your first AI employee

Margaret Ellison setting a candle on a laid table in the dining room of Tampa Pasta House

Her hands stay on the trade. The ladder below is climbed for her.

Working today

Your employee already does this.

Live

The staff is already on the desk.

Hands on the desk from day one — the front desk, the content, the selling, the answers, the clips. And the row keeps growing.

Content that ships itself.

Posts written in your voice, studio-grade images without a designer, published on schedule to Facebook, Instagram and Telegram.

Answers around the clock.

From your knowledge base — services, prices, hours — in the customer's own language, voice messages included. Heated conversations get caught and handed to you.

Customers, remembered.

Built-in CRM: orders, customer cards, leads collected mid-conversation, instant pings when something needs you. A request stays a request until you confirm it.

Promos that sell themselves.

Your employee knows your running promotions and offers them at the right moment; segmented blasts when you have news.

A chef photographing a finished pasta dish on the counter of his kitchen
A photo is enough — your employee reads the dish from it.

Being deepened now

Sharper eyes, fuller files.

  • Photo understanding — "I want a bouquet like this", answered from the picture.
  • Self-filling customer files — preferences and habits pulled from conversation.
  • Cross-sell in the dialog — the right extra item at the moment of ordering.
  • Micro-segmented campaigns — offers cut for narrow groups.

Next on the ladder

Sales that don't sleep.

  • Winning back the walk-aways — started an order and vanished? A well-timed nudge.
  • Retention radar — "hasn't visited in a while", spotted before you noticed.
  • A/B campaigns that tune themselves — several drafts tested, the winner sent.
  • Lead qualification — hot leads land on your desk flagged.
  • Replies in your own voice — realistic brand-voice audio, further up the ladder.

Being researched

Going deeper — inside the tools you already run.

Every trade runs on its own systems — table booking, POS, inventory. We're finding out which ones your trade uses and plugging your employee into them. Then a restaurant's employee doesn't just answer chats: it orders stock in YOUR system, keeps recipe cards, runs inventory counts, drafts the menu — your systems, worked by your employee, not a CRM of ours.

Mateo Salgado standing in his workshop in front of a wall of hand tools
Mateo's workshop runs on its own tools — the systems here are where your employee goes to work next.

Researching

Booking, in your book

Tables and appointments written into the same system your front desk uses — not a parallel calendar.

Researching

Stock & purchasing

Reorders placed in your own inventory system, from your real sales history and season.

Researching

Inventory counts

Counts run and reconciled against POS sales — shrinkage surfaces instead of hiding.

Researching

Recipe cards & menus

Cost cards kept current as supplier prices move; menu drafts priced from real margins.

Researching

Payment links in the dialog

Customers pay through YOUR payment links — money goes straight to you, never through us.

Researching

Shift planning

Staff schedules built from traffic forecasts.

Researching

Ad budget on autopilot

Campaigns paused and boosted by your real load.

Restaurants are one example — the same depth is coming to every trade. The first systems will be set by what owners actually use: tell your employee what you run on, and it moves up the list.

Where the ladder ends

The employee exchange.

Some businesses stop at hiring. Some describe a new employee and we build it. And some go further — they build an employee so good at their trade that other businesses want to hire it too. That's what the exchange is for.

Build one that knows your trade.

Start from your own employee — the one you taught your prices, your pace, your way of talking to customers. Strip out your private data; the craft stays.

Put it on the exchange.

Your employee becomes hireable by other businesses in your trade.

Earn when it works.

When another business hires your build, you earn from every month it keeps working. The better it works, the longer they keep it.

The exchange opens after the employee factory — that's the order the ladder is built in. What's live today: hiring ready employees and describing the one you need.

See it working before you paytwo sample businesses run day-to-day by AI employees: Tampa Pasta House · Casa Lista.

Open the demos

Illustrative examples — sample businesses, not real customers.

Two live sample businesses. Any other business runs the same way — your catalog, your hours, your channels. Does it fit your business?

Describe the employee you need.

The most requested are built first — your request moves the list.

Describe them