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$man ai-employees --hire

AI EMPLOYEES(1) · MANAGED · TELEGRAM-NATIVE · SMALL BUSINESS

Hire an AI employee,
not another SaaS login.

An AI staff member that lives in your Telegram. It introduces itself on day one, works your website, content, reviews, and business data, sends you a morning briefing, and hands you a weekly receipt of everything it did. One conversation, thousands of agents running behind it, and real humans who monitor, maintain, and stand behind the whole fleet. From $297/mo.
$cd ~/anywhere && ./run-business.sh

// run it from anywhere

Unchain yourself from the desk.

Your business runs from the app already in your hand. Give the order, approve the work, read the receipts from Telegram, Discord, WhatsApp, or wherever you already live. No dashboard to open. No office to sit in.
Telegram
native home base
Discord
your community server
WhatsApp
where your customers are
Signal
private by default
Slack
where your team works
iMessage
the green bubbles too
Messenger
Facebook DMs handled
Email
inbox triaged and drafted
LINE
for LINE-first markets
Viber
calls-to-text intake

Telegram ships today as the native home base. The other channels connect through the same managed pod: your employee, your rules, one permission ladder across all of them.

$cat /etc/roles | head -1

// the pitch

Most small businesses do not need full-time staff. They need the work done.

A bakery does not need a full-time social manager. It needs 3 posts a week and a DM reply system. A two-location clinic does not need a $50k marketing hire. It needs the website kept current, reviews answered within the hour, and someone who can pull last month's numbers on request.

Those are fraction-of-a-person jobs. Until now your options were to overhire a human, underhire a freelancer, or buy another SaaS login that your team stops opening by week three. An AI employee is the fourth option: a named worker you talk to in the app you already have open, that does the fraction of the job and shows its work. Behind that one conversation, thousands of agents run in parallel so nothing waits in a queue.

No new dashboard to learn. No prompt engineering. You run your business. It does the fraction.

// one conversation, thousands of agents

you:        "fix the hours on the site"
ai:          done. also opened? verify 1
             listing mismatch, corrected.

you:        "what did we sell most of?"
ai:          top 3 SKUs, last 30d, with
             margin. table in 40s.

you:        [ approve banner ]  09:07
ai:          live. receipt logged.

Same employee. Web, marketing, front desk, back office.

$systemctl status your-ai --watch

// managed agents

You hire an employee. We run the department.

The part most AI products leave out: someone has to look after it. Software you install is a liability the day it breaks. An AI employee from us comes with a team behind it. We monitor it every day, maintain it as models and tools change, review its judgment calls, and fix anything that stops working. If it misbehaves at 2am, that is our ticket, not yours.

Managed is the whole point. An unmanaged agent is a hobby. A managed one is staff.

Monitored

Daily health checks on every agent. Silent failures page a human before you notice anything.

Maintained

Models, prompts, and integrations change constantly. We update your employee so it keeps working.

Supervised

Risky and public-facing work waits for a human click. Judgment calls get reviewed, not guessed.

Supported

A real person answers when you ask. Same day, plain English, no support ticket maze.

[managed-loop][24/7]watching
# what happens while you sleep
02:14 health check: 4/4 agents green
02:41 model update available, regression tests run
03:07 judgment call: refund request flagged for human
06:30 morning briefing compiled, queued to Telegram
08:02 operator reviews overnight work, approves 2 items
loop: watch catch fix report. humans stay in the loop.

Green means healthy. Red means trouble. The conductor keeps the whole fleet in tune. That is the product.

$orgchart --flatten

// the org chart

Four departments. One point of contact. Thousands of agents.

One chat thread is the interface. Behind it, a fleet of thousands of agents works in parallel to staff four departments. You are not buying four tools; you are hiring capacity that scales without a headcount plan.
1 conversation|4 departments|1,000s of agents in parallel|24/7 with humans watching
Wren, the AI Web Dept agent
--web-dept
AI Web Dept
agent: Wren
  • + Website edits and new pages, same day
  • + Price, hours, and menu updates
  • + SEO fixes and broken-link sweeps
  • + Landing pages for campaigns
available now
Echo, the AI Marketing Dept agent
--marketing-dept
AI Marketing Dept
agent: Echo
  • + Social posts on a weekly cadence
  • + Blog articles drafted from your voice
  • + Review responses, drafted and sent
  • + DM reply system for inbound questions
available now
Iris, the AI Front Desk agent
--front-desk
AI Front Desk
agent: Iris
  • + Telegram intake, today
  • + Answers calls, books appointments (phone, soon)
  • + FAQ answers from your real docs
  • + Escalates to a human when unsure
coming: phone receptionist
Ledger, the AI Back Office agent
--back-office
AI Back Office
agent: Ledger
  • + Ask-your-data questions in plain English
  • + Morning briefing: what changed, what matters
  • + Competitor and review monitoring
  • + Weekly summary of everything it did
available now

Phone receptionist is in active build. Telegram intake, web, marketing, and back office ship today.

$ls /training/curriculum

// the training

What your AI employee is trained on

Every hire is drilled on fifteen disciplines before it touches your business, and retrained as they evolve. This is the full curriculum, not a highlights reel.
--web

Website changes

Edits, new pages, copy. Made, checked live, reported.

--blog

Blog & articles

Full posts drafted in your voice, imagery included.

--seo

SEO & AI search

Audits, keywords, and getting cited by AI answers.

--social

Social media

On-brand posts and captions. Drafts only, you approve.

--email

Email marketing

Campaigns and newsletters in a plain, human voice.

--reviews

Reviews & reputation

Reviews read and analyzed, responses drafted in your voice.

--brand

Images & brand

On-brand visuals. Official assets are authoritative.

--leads

Forms & leads

Lead flows tested safely, problems reported plainly.

--analytics

Analytics & reports

Numbers, trends, what they mean. Read-only.

--quality

Accessibility & speed

Usable by everyone, fast on every device.

--campaigns

Campaigns & offers

Consistent messaging across every channel.

--faq

FAQs & customer Q&A

Answers grounded in your real content and sources.

--catalog

Products & services

Accurate catalog content. Never invents offerings.

--market

Competition

Market watch from public information only.

--store

Store & sales

Bookings and orders, reported read-only.

Guardrails are part of the training: nothing public posts without your click, payments and customer data are read-only, and every action leaves a receipt.

$diff hire/human hire/ai | grep cost

// the salary anchor

What a receptionist costs vs what an AI employee costs

Industry estimates, not promises. Run the math against your own market.
human receptionistAI employee
monthly cost (all-in)$4,200 - $5,100from $297
hours covered~160 (one FTE)24/7/365
sick days / PTOyesnone
ramp-up timeweeks to monthsdays
quits or gets poachedpossibleno
extra headcount for nights/weekendsmore salaryincluded

Figures are industry estimates, not guarantees. The $4,200-$5,100/mo range reflects fully-loaded US cost (base salary, payroll taxes, benefits, overhead) commonly cited for full-time front-desk staff; your market may run higher or lower. AI employee pricing is our published list price. Savings depend on how you deploy it.

$onboard --day-0 --day-7

// how it works

From intro call to first receipt in one week

01

Intro call

A 45-minute working session booked from this site. We map which roles you actually need covered and which ones you do not. No pitch deck.

02

Your AI introduces itself

The same day, your AI employee messages you on Telegram, introduces itself by name, and takes its first task. Day one is a working day.

03

Weekly receipts

Every week you get a receipt of everything it did: edits shipped, posts published, reviews answered, questions handled. Work you can point at.

$cat receipts.log | tail -5

// proof of work

Public receipts, not promises

Every client gets a live changelog of their AI employee's work: every edit, post, reply, and answer, timestamped and attributable. We call these receipts. They are the difference between an AI that demos well and an employee you can manage.

Your receipt feed is the artifact you review on Monday morning and the record you point at when someone asks what the AI actually does around here. Auditing a human hire is a performance review. Auditing an AI employee is reading a log.

[receipts][week-32]14 entries
08-11 09:02reviewsreplied to 2 Google reviews, avg 4 min
08-11 14:20webfixed menu price mismatch vs print
08-12 08:58briefingmorning brief delivered in Telegram
08-12 11:03marketing3 social posts drafted, queued
08-13 10:15back-officepulled Aug SKU report, flagged 1
every line links to the diff or draft it produced
$grep -i "exit code" man ai-employees

// faq

Straight answers

01Is my business data safe?

Your data stays yours. It is kept in your workspace, used only to do your work, and never resold or used to train anything. You can export or delete it at any time.

02What if it makes a mistake?

It operates on a permission ladder. Safe, reversible work (typos, price matches, queued drafts) happens automatically. Anything risky or public-facing comes to you as an approve/edit button in Telegram first. Nothing important ships without a human click.

03Can I cancel?

Yes. Plans are flat monthly, cancel anytime, no lock-in. Setup is one-time and covers building and training your AI employee; the monthly is the salary.

04Is this just a chatbot?

No. A chatbot is one weak model answering questions one at a time. An AI employee is the opposite: one conversation in front, thousands of specialized agents working in parallel behind it, each with a job description, tools for your actual stack, a permission ladder, and a weekly receipt of finished work. It is judged on output, not chatter.

05Who looks after the AI once it is running?

We do. That is the managed part: we monitor it every day, maintain it as models and tools change, review its judgment calls, and fix anything that breaks. Your AI employee comes with a support team behind it, so you never babysit software. If something stops working, that is our ticket, not yours.

06Do the savings numbers hold up?

The $4,200-$5,100/mo receptionist figure is an industry estimate of fully-loaded cost (salary, taxes, benefits, overhead) for US small businesses; actuals vary by market. The AI figure is our own list price. We publish both so you can run the math yourself.

$empowered.guru --hire-ai

AI EMPLOYEES · FROM $297/MO

Meet your first AI employee this week.

A 45-minute working session on the calendar. If an AI employee is wrong for your business, you will leave with that answer instead.