Replies to clients at night, has reports ready by morning, watches your numbers. Deployed on infrastructure in Russia: your data stays with you.
Often it is the same model inside. The difference: a chat answers when asked. An agent acts on its own, on schedule, inside your tools.
| Parameter | ChatGPT | Your agent |
|---|---|---|
| Remembers you tomorrow | Starts from zero | Remembers across chats |
| What it does | Answers with text | Performs actions |
| On a schedule | Waits for a prompt | Summaries, reports, reminders on its own |
| Where it lives | A separate tab | In your Telegram |
| Your data | On someone else's servers | CRM, sheets, email; you revoke access |
A base that works from day one. Then we connect your tools.
Solved a task — wrote itself an instruction and follows it next time. Refines it as it goes. The longer it runs, the more it can do.
The conversation, your rules, what you discussed a month ago, what's in your documents — and how to do your tasks.
«The summary at 7:30» — one sentence, and it runs without you.
Creates tasks, answers clients, prepares files. Through MCP tools.
Dictate in Telegram, get it done.
Fresh data and a summary. Sources you can check.
Forgot to call back, the deal went cold.
Remembers clients, nudges you to call, preps a brief before each one.
Clients write at night, you cannot keep up.
Replies by your templates, you confirm with one tap.
Sunday evening on summaries again.
The team report is ready by Monday morning. On its own.
A competitor cut prices, you found out three days later.
7:30 summary: sales, stock, competitor prices on WB and Ozon.
Monday starts with collecting numbers by hand.
Pulls reports from ad dashboards into one summary.
A hire for these tasks costs 80 000 ₽ a month. Plus taxes, vacation and sick days. The agent works nights, weekends, and never quits.
Our own agent stack in development: Claude Code, Codex, opencode, Hermes, OpenClaw, Paperclip.
Not a wall of logos. Products in production.
One API to 400+ models. Payment in rubles.
We take one narrow slice, fix a metric before we start (e.g. client reply time). First result within a week.
We assemble the agent: memory, actions, integrations, server. First result within a week.
We keep it running: fixes when external services change, scenario updates. An agent with no one to fix it lives until the first failure.
This is how an agent is built — four screens
You can, just like installing a CRM yourself. The question is who fixes it when Telegram updates or a service changes its API. We build and maintain.
On your server. The agent gets access you can revoke anytime.
The base agent is 50 000 ₽ to deploy and 9 800 ₽ a month: server, models, support, and repairs when an API changes. Work built around your processes starts at 150 000 ₽ — exact figure after a twenty-minute review.
First scenarios within a week. Then we expand.
It won't replace a human where judgement and accountability are needed. It doesn't make phone calls. It can't touch anything you haven't given it access to. When unsure, it escalates to you instead of inventing an answer.
For the first weeks it only drafts. Correct it with a sentence, it remembers the fix.
At low confidence the agent escalates to a human instead of making things up. Behavior is testable before launch: you approve actions, you do not take them on faith.
No. The code and the agent are yours, models are interchangeable, infrastructure stays under your control.
A couple of lines in Telegram. We show what the agent takes over in week one and name the price.
Morning. The work is already done.