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AI agents for meatbags

An AI employee that answers every lead in 60 seconds

A custom agent built for your business: your channels, your CRM, your tone.

The average business replies to a lead in 47 minutes. A hot lead stays hot for 5–10 minutes.

Get a free audit Talk to the agent

Leads come in around the clock. Managers don't.

0 sec
typical agent response - at 3 am, on a Sunday, on New Year’s Eve. We promise “within 60 seconds” - in practice nearly twice as fast.
×0
That's how much faster it is than “we'll reply during business hours”. 47 minutes of waiting → 34 seconds.
0%
That’s the share of leads in a typical business arriving outside working hours - evenings, nights, weekends. Right now they wait until morning. By morning they’re already with a competitor.

Talk to it yourself

We built this agent for our own site - it qualifies leads and books audits. Yours will be built around your business - channels, knowledge base, CRM, tone.

Agent is typing…

The agent replies live and remembers the conversation. Yours will work the same way - in your channels, with your knowledge base.

You can now build an agent for any process. Including yours.

An agent is not a chat that answers questions. It is a doer: we design it for a specific task, wire it into your systems - and it does the work itself.

Take a client from enquiry to paymentPull analyticsRun adsBuild a websiteCall clientsHandle conversations and sellFill in the CRM and reportsAnalyse competitors

0%
of companies already have AI agents at work. Another 90% plan to launch within a year
0%
of companies are already increasing their AI agent investments - adoption has turned into a race
0%
Average ROI across the deployments that make it to real work

Data: a digest of 150+ industry studies (2026), Gartner and Sinch

This site was also built by our AI agent.

A regular chatbot vs an AI agent.

A bot replies from a script. An agent asks questions itself, places the order, fills in the CRM and sends reminders. Below - the same customer and the same question: two endings.

Regular chatbot
DAROBOTS AI agent

Who you can hire right now

Every agent is built for your business. Below are three typical roles: what the agent does, what it costs and when it starts working.

AI sales rep

For stores, delivery, services - anyone whose leads come from Instagram, the website and messengers

  • Answers every lead in 60 seconds, 24/7
  • Finds out the budget, timing and what exactly is needed
  • Brings back customers who went quiet
  • Hands hot ones to a manager, logs the deal in the CRM
from $150/moThe agent’s salary after launch
Turnkey setup - from $1,200
Starts working in 2–4 weeks
Hire the sales rep

AI receptionist

For clinics, salons, studios, services - wherever bookings and missed calls live

  • Books, reschedules and confirms visits
  • Answers “how much is it” and “what's included”
  • Sends visit reminders - fewer no-shows
  • Syncs with the calendar and the CRM
from $120/moThe agent’s salary after launch
Turnkey setup - from $1,000
Starts working in 2–3 weeks
Hire the receptionist

AI support

For e-commerce and services with a stream of routine questions: “where's my order”, “how do I return it”, “it doesn't work”

  • Closes up to 70% of tickets without a human
  • Knows your base: order statuses, policies, instructions
  • Hands complex cases to a human - with the full history
  • Works in website chat, WhatsApp, Instagram, Telegram
from $180/moThe agent’s salary after launch
Turnkey setup - from $1,400
Starts working in 3–4 weeks
Hire support

Need something else? There are agents for calls, documents, content, procurement - tell us about your task and we'll propose an agent for it.

Find an agent for my task
1 salary
Of a manager - that's the setup cost. Paid once
+
from $150/mo
Upkeep after launch - that's everything you pay for the agent
=
24/7
The agent at work - no vacations, sick days or weekends
[ screenshot: the AI sales rep in Instagram DMs ]
The sales rep follows up a lead in Direct
[ screenshot: the receptionist's booking calendar ]
The receptionist runs a clinic's schedule
[ screenshot: closed support tickets ]
Support closes 70% of tickets

[price ranges are working drafts - final before launch]

The engineers who build your agents

Danil
Founder / Chief AI Architect
Danil

AI systems he architected process over a million client messages every month. His AI solutions have earned clients over $940K in the last three years.

Yuliia
CEO / AI Agent Builder
Yuliia

Builds AI agents that replace entire departments: sales, support, client booking. Her agents hold hundreds of dialogs daily in niches from medicine to e-commerce.

Oleh
Lead DevOps / AI Engineer
Oleh

Built server infrastructure for a European fintech. Five years in - zero breaches, zero client data lost.

Maksym
Senior AI Engineer
Maksym

Created his own technology for building AI systems: they self-learn on business data and don't invent answers. His largest system handles over 30,000 inbound requests monthly.

Agents already on the job

EdTech · USA · lead closing

The agent works leads while the sales team sleeps

Leads come in around the clock, managers live in one time zone. The agent replies to every lead first and hands managers only the warm ones - with the full conversation history.

[ screenshot: agent–lead dialog ]
60 sec
First reply to a lead, around the clock
2 languages
English and Spanish - one agent
since 2026
In production: survived a price change and two sales-process overhauls
Restaurant · table reservations

The agent books tables while the phone line is busy

At peak hours the line is busy - guests can't get through and book next door. The Telegram agent takes reservations itself: checks free tables, confirms the time, sends reminders.

A table for four tomorrow at 7pm, please
Checking… there is a window table at 7pm. Shall I confirm?
Yes, confirm it
Done. I will send a reminder tomorrow at 6pm.
+40%
Conversion of enquiries into confirmed reservations
3 days
From kick-off to the first reservation through the agent
24/7
Reservations taken - including peak hours when the line is busy
Dental clinic · patient booking

The agent cleared the front desk call queue

The receptionist juggles walk-ins, calls and chat - patients give up and call another clinic. The agent handles messenger enquiries, matches a doctor to the symptoms and books the visit itself.

Tooth under a crown hurts, any slot today?
Sounds like a job for a prosthodontist. 4:30pm is free today. Book you in?
Yes, 4:30pm
Booked for 4:30pm. I will remind you two hours before and send the address.
5 days
From mapping the booking process to the first patient through the agent
24/7
Enquiries handled while the front desk is busy with patients
doctor + slot
The agent picks the specialist and the time - no phone call needed
Track record · inbound flow

50+ launches: an agent starts working in days

The usual picture: ads bring leads faster than managers can reply. We put the agent where the business already lives - Telegram, Viber, website chat, CRM - without reshaping processes to fit a template.

Hi! Saw your ad, I need some advice
Right here. A couple of questions - and I will hand the manager a warm lead with the full history.
→ lead saved to CRM · manager notified
50+
Agents launched - from local businesses to government contracts
2–7 days
From brief to an agent catching leads
from minute one
The agent replies right after launch - no training period

Autonomous doesn't mean unsupervised

The biggest fear when hiring an AI employee: “what if it makes a mess”. So control is built into the system itself, not written in the fine print.

A log of every step

What the agent did at 3:14 on a Tuesday is in the log: every message, decision and CRM write. No black boxes.

Humans have the final say

Money, discounts, disputed cases - only with a human's sign-off. You set the autonomy level, not the model.

A stop button

The agent shuts down in one action - instantly, no “write to support”. Leads keep landing in your inbox directly.

A spending cap

API spending limits are built into the system: the agent physically cannot burn your budget overnight. A transparent bill every month.

Liability in the contract

The contract fixes response time, uptime and what we do if something goes wrong. We answer for the agent’s work in writing, not in promises.

The code is yours

The source, prompts and knowledge base belong to you. If you leave, you take it all with you. We keep clients with quality, not lock-in.

[ screenshot: the agent's overnight action log - real interface ]
The agent's log: every message, decision and CRM write - timestamped

From audit to a live agent in three steps

01

Audit · free

We look at the funnel, channels and processes. We say honestly where an agent pays off and where it isn't needed. If it isn't - we'll tell you.

3–5 days
02

Pilot · fixed price

The agent runs alongside your process, breaking nothing. We measure before and after: response speed, share of closed deals, conversion.

2–4 weeks
03

Rollout · and maintenance

Full launch, integrations, team training. Then we maintain it: update the knowledge base, watch replies and metrics.

from 2 weeks

This is what an agent’s night looks like: leads keep coming, the agent handles each one itself. By 9:00 am the manager gets only warm leads, with full history.

New leads0
Agent in dialog0
Warm0
Handed to manager0

Ask directly

What if the agent tells a customer nonsense?+
There are three safeguards: the agent answers only from your knowledge base, not from the model's imagination; on risky topics it hands the conversation to a human; before launch we run it through hundreds of test dialogs and show you the report. Plus the log: any reply can be pulled up and examined.
Who's liable when the agent makes a mistake?+
We are - in writing. The contract pins down SLAs, areas of responsibility and an incident playbook. Big vendors answer this question with “see the terms of service”; we answer with a specific clause in the contract.
What does it actually cost per month?+
The build is a one-time fee (ranges above), then maintenance from $120–180/mo: it covers API costs within the limit, knowledge base updates, monitoring and incident reviews. The spending cap is built into the system - the bill doesn't “swell overnight”. The exact figure comes from the audit, based on your volume.
Our data is a mess. Is that a problem?+
That's normal - 9 out of 10 companies are the same. At the audit we look at what you have: price lists, chat histories, internal docs. Part of the knowledge base we assemble for you from those sources. You don't need perfect data - you need an honest list of what the agent must know.
We're on WhatsApp / Instagram, not Telegram+
The agent lives where your customers are: WhatsApp, Instagram Direct, Telegram, website chat, e-mail - in any combination. The channel doesn't affect the agent's brain, only the hookup.
What happens after launch? Will you disappear?+
After launch the real work begins: the knowledge base goes stale, new question types show up, models get updated. So maintenance is a monthly process with metrics, not “call us if it breaks”. And if you decide to leave - the code and the base are yours, you take everything.

In a year, an AI agent will be the norm. The advantage goes to those who deploy now.

We take 4 pilots a month - more we can’t do well. 2 slots left for July.

Apply - today
Audit - by the end of the week, free
Pilot - answering your leads within a month