not theory — a working system

All of this already runs in my business. We deploy the same — in yours

Every block below isn't a slide from a deck — it's a system running in my business right now. In the mentorship we transfer it to you — tuned to your tasks, in your voice, under your control.

management layer

AI board of directors

11 expert personas built on real management practices: strategy, operations, finance, risk, red team. Every serious decision runs through the board: opinions, critique, synthesis. This morning my board reviewed a month-long promotion plan and found 6 risks in it.

sales

Sales machine

Front-line AI in Telegram: it handles inbound on its own, qualifies leads, replies in my voice, and hands me only the hot ones — with a card: who, what they want, what was discussed. Nights and weekends too.

visibility · search

SEO orchestra of 7 AI roles

A tech audit in a day, semantics in a session, copy, markup, rank monitoring — the work of an SEO agency, which agencies sell for $1,000 a month with a team of six.

solaris-club.one/seo-en →

visibility · neural nets

GEO agent

When a customer asks ChatGPT or another assistant "who should I pick" — your brand should be in the answer. The agent audits your AI visibility and monitors it across every engine.

solaris-club.one/geo-en →

routine

24/7 assistant

Documents, emails, contracts, invoices, meeting summaries, inbox triage, tasks in the tracker. Today it put together a client contract and an invoice in 15 minutes — while I was busy with something else.

content

Content engine

Channel posts in my voice, images that fit the message, consistency without reminders. Plus landing pages and decks for specific tasks — like this very page, built by the assistant.

how it looks from the inside

An ordinary day with an AI company — right in your phone

No panels or dashboards that nobody ever opens. Everything lives in Telegram: the assistant messages you first, you reply like a human. Here are three real scenarios from my working day.

📋 My Plansassistant channel

assistant · 07:00Morning brief. Today: partner call at 12:00, proposal deadline, 2 hot leads awaiting a reply.

day plan is ready
meetings in the calendar

assistant · 15:47Done: the contract and invoice for the client are drafted from their details and filed in the folder. Check three points before sending.

assistant · 21:00Day report: 14 conversations handled, 3 qualified, 1 meeting booked. Posts went live in both channels.

reports · tasks · statuses — they come to you on their own

Sales Machinefront line · your account

client · 23:12Hi! I saw your case study. How much is a deployment and what are the timelines?

the assistant replies in your voiceHey! Here's the simple version: it depends on scope, the range is roughly this. Tell me — what's your niche and what hurts the most?

client · 23:16Logistics, we're drowning in inbound requests…

card to you · 23:20Hot lead: logistics, pain — inbound, ready to hop on a call tomorrow. Conversation attached.handed to you

nights and weekends — it works then too

Board of Directors11 expert personas

youBoard, assess the month-long launch plan for the new direction.

board · in 8 minutesOpinions gathered, red team done. Key points:

CFO: the only track with fast payback is №1
The Nitpicker: don't launch a big wave without a test on 300 contacts
Legal: track №2 has no legal framework — stop until that's settled

Synthesis and plan B are in the full memo.

decisions face critique before they cost you money

program

Four weeks — each one ends with a working block

Rhythm: 2 live sessions a week, 60–90 minutes each, implementation between sessions, my support in Telegram with no limits.

week01

Foundation: assistant and memory

A brief and a map of your business and life tasks: where time is burning, what AI should take off your plate first. We deploy the core — a personal assistant in Telegram with your knowledge base and persistent memory. By the end of this week it's already doing real work: emails, documents, meeting summaries.

outcome an assistant with your knowledge base saves your first hours

week02

Sales machine

We connect your channels, build scripts in your voice, set qualification rules. The assistant goes to the front line: handles inbound, hands you only the hot leads with a client card, logs everything in the CRM. Live conversations — under our watch, with tone fine-tuning.

outcome your front-line sales run without you

week03

Management layer: board of directors

We assemble your AI board: expert personas tailored to your business — strategy, operations, finance, marketing, risk. Decisions go through the "opinions, critique, synthesis" cycle. We set up your management routine: morning briefs, plans, tracking of tasks and deadlines, a content engine into your channels.

outcome one real decision — run through your board of directors

week04

Life, visibility, and handing over the keys

Your personal loop: calendar, family, trips, second brain. Baseline visibility setup for your properties across search and neural networks. And most important — the handover: how to assign tasks, teach the system new things, and expand it without me.

outcome the system runs without a mentor — you're the owner

after+30

A month of support

I'm on call: async answers to your questions, one review a week, tuning for new tasks. The system takes root — I make sure it doesn't stall but keeps accelerating.

outcome a lasting habit of running an AI company

who leads it

Anton Baranov

Entrepreneur, AI solutions architect

Founder of Solaris AI and co-founder of GiG AI. 16 years in business: 7 online schools launched, 200,000+ customers acquired, teams of up to 50 people. In recent years I've been designing and deploying AI systems for business — from small companies to corporations.

I run the mentorship personally and take on few people: this is hands-on work. We don't watch webinars — together we build your system in live sessions, on your real tasks and clients.

16 yearsin entrepreneurship

200,000+customers acquired across projects

40+AI models in the GiG AI ecosystem

questions

Frequently asked questions

How is this different from a course on neural networks?

A course teaches you buttons and prompts, then leaves you alone with the tools. Here we build a working system together on your real tasks: by the end of week four you don't have a certificate — you have an assistant, a sales machine, and a board of directors that already work. If you're already an advanced user, even better: we'll go faster and deeper.

Do I need to be a technical specialist?

No. We do all the technical work together in the sessions, and I take the hard parts on myself. Your job is to bring the substance: tasks, procedures, communication style, priorities. Running the finished system is a conversation in plain human language.

How much of my time will this take?

2 sessions a week, 60–90 minutes each, plus 2–3 hours of implementation between them. The implementation isn't busywork for a checkmark — it's the system working on your live tasks: the time pays off during the program itself.

What happens after the month of support?

The system stays with you and runs without me — that's the point of week four with the handover of the keys. After that it's up to you: expansion for new tasks in separate sprints, or a full corporate deployment if you grow into a team.

Why from $3,200?

This is the Max tier "Maestro" — the top configuration of our AI assistant (normally deployed by a team in 10–14 days), plus a month of one-on-one mentorship and a month of support. The payment is one-time: no subscription, no token fees — costs don't grow with your usage.