ChatGPT
A universal AI assistant for text, ideas and analysis.
- How to connect
- Sign-up, picking a model, basic account settings.
- What you learn
- Phrase requests so you get usable results on the first try.
Digital Renaissance
AI Workshop · Tallinn · date TBA
AI employees for business
A workshop on how to build AI agents that understand your company's context, perform concrete tasks and help the business get measurable results. Not a chat with questions - an actual AI employee.
Seats left: 40
1 day
from task to AI employee
3 modules
one route
no code
no programming needed
Until the workshop starts
00 d
00 h
00 min
00 sec
What you walk away with
Not theory for its own sake. By the evening you'll have three working assets for your business.
A company knowledge base
Your context in Obsidian: materials, roles and knowledge the agent relies on.
An AI agent for your task
A working agent for a real task - for example, an analyst «Competitive intelligence».
A coordinator agent
A coordinator for a business briefing: it gathers data from sources and builds a report.
A working rollout logic
A clear route: knowledge base → agent → tools → scenario → result.
Everyone shows 100 neural networks to master. We're about the opposite.
You don't need another list of tools - you need a different approach: take one everyday task, break it into skills and assemble an agent that works for you.
Services change - the logic stays. A one-off request gives a one-off answer; an agent needs context: knowledge, roles, limits and tools.
- One everyday task
- Break it into skills
- Assemble an agent
- A tool that works for you
Who this workshop is for
Who will benefit
- Business owners and leaders - understand which tasks to hand to agents and how to adopt AI without chaos or wasted spend
- Top managers and department heads - turn AI from scattered experiments into managed scenarios: reports, documents, analytics
- Entrepreneurs and project founders - close more tasks with a small team: content, documents, operational processes
- Specialists in marketing, HR, finance and operations - strengthen your profession and become the one who rolls out AI in the team
- Those responsible for AI and digitalization - get a working logic: knowledge base → agent → tools → scenario → result
- Consultants, experts and freelancers - offer clients ready agent solutions instead of advice
The workshop is not a fit for
- Those looking for a «press a button - get a result» template
- Those who just want to hear about trends and implement nothing
- Those looking for a programming course - there's no code here
- Those expecting a universal solution «for everyone and everything at once»
- Those not ready to spend these hours practicing in the moment
Three modules. One route.
Moving from plain ChatGPT and Claude to building AI employees that work with your company's context. By the end of the workshop your own AI employee is running.
- 09:30 – 10:00
09:30 – 10:00
Participant registration
Get to know each other, check access and accounts.
- 10:00 – 12:00Obsidian
10:00 – 12:00
Module 1. Foundations
Knowledge base and skills (Claude Skills)
Give the agent memory and knowledge of the business.
What we cover- How an AI agent differs from a plain chat
- Why agents appeared and what they can do
- Where agents can live: cloud, PC, messenger, work tools
- Agentic thinking: goal, role, context, limits
- System anatomy: trigger → analysis → memory → action
- What goes into a company knowledge base
- Why Obsidian is convenient for context
- What a skill is and how it differs from a prompt
- How Claude and Codex create skills from a knowledge base
Outcome: Your own knowledge base and first skills for your tasks
- 12:00 – 12:30
12:00 – 12:30
Coffee break, networking
- 12:30 – 14:30Claude
12:30 – 14:30
Module 2. The heart of the workshop
Building the AI agent
We assemble an agent from skills for your task.
What we cover- Why skills are better built for your own business
- How to write a prompt to create a skill
- Which skills a business needs — examples
- What MCP is in plain language
- How the agent gathers data and builds reports
- How to limit the agent's actions
- Where human control is needed
Outcome: A working AI agent for your real task
- 14:30 – 15:30
14:30 – 15:30
Lunch, networking
- 15:30 – 17:30Codex
15:30 – 17:30
Module 3. From agent to tool
Your own app without code
We turn the agent into a working tool without code.
What we cover- How to build your own app by describing the task in words
- How Claude Code differs from a chat
- How to write a spec for AI
- What a coordinator agent is
- What sub-agents are and their roles
- How orchestration works
- When you need a system and when an agent is enough
- How to assign tasks to the agent from computer and phone
Outcome: A finished tool — your AI employee at work
- 17:30
17:30
Q&A. Wrap-up
We break down your tasks and exchange contacts.
Hands-on
What we build right at the workshop
Not slides - working assets that stay with you.
01
A knowledge base
The company's context in Obsidian: materials, roles and skills the agent relies on.
02
An AI agent
An agent for your real task - from skills, with context, a role and limits.
03
Your own app without code
We turn the agent into a working tool by describing the task in words.
Tools we work with at the workshop
ChatGPT 
Claude 
Perplexity 
Obsidian 
VS Code 
Codex 
MCP 
Telegram 
GitHub 
Google Trends ChatGPT Claude Perplexity Obsidian VS Code Codex MCP Telegram GitHub Google Trends We break down every tool
For each one: what it is, how to connect it and exactly what you'll learn to do. We explain, show and repeat together.
Claude
An AI assistant strong with long documents and code.
- How to connect
- Account, projects, uploading your materials.
- What you learn
- Work with large texts and assemble an assistant for your task.
Perplexity
AI search with links to sources.
- How to connect
- Account, search modes, source focus.
- What you learn
- Gather verifiable research fast instead of dozens of tabs.
Obsidian
A personal knowledge base from notes.
- How to connect
- Install, vault, links between notes.
- What you learn
- Turn scattered notes into a manageable knowledge base for AI.
VS Code
The environment where AI helps you build projects.
- How to connect
- Install, basic interface without fear of «code».
- What you learn
- Stop fearing the workspace where AI writes for you.
Codex
An AI agent that writes and edits code from a description.
- How to connect
- Connecting to VS Code, access.
- What you learn
- State the task in words and get a working result.
MCP
The protocol through which AI accesses your data and services.
- How to connect
- What an MCP server is and how to connect it.
- What you learn
- Give AI access to the right data safely and to the point.
Telegram
A messenger and a platform for bots.
- How to connect
- Creating a bot via BotFather, the token.
- What you learn
- Launch your own helper bot in one sitting.
GitHub
Project storage and site publishing.
- How to connect
- Account, repository, basic publishing.
- What you learn
- Store a project and publish the result online.
Google Trends
Demand and trend analysis.
- How to connect
- Access, regions, comparing queries.
- What you learn
- Validate ideas and demand with data before investing.
Logos and names are the property of their respective owners. They denote the tools we teach.
What we've already built
b41.ai is not theory. Real sites, bots and automations in production.
Sites & landings
Fast sites for business tasks - from a one-pager to a catalog with leads.
Telegram & chat bots
Bots that take and process incoming requests 24/7.
Operations automation
Document OCR, data sync, auto-reports and dashboards.
AI assistants
Private assistants trained on a company's data and processes.
Client cases
Real companies whose manual routine we removed.
Conway Container Solutions
Container logistics, Baltics
Challenge: A large flow of container rental and sales requests and documents handled by hand.
Result: Automated document and request processing, faster replies to clients.
LAT FLEX
Liquid cargo transport
Challenge: Document-heavy processes: customs, certification, flexitank specs.
Result: Data extraction from documents and simplified booking chains.
Incoterms.lv
Trade education & consulting
Challenge: A stream of repetitive questions about trade terms and choosing conditions.
Result: An AI assistant on their materials removes routine inquiries.
Langino Logistics (exw.lv)
International freight, 80+ countries
Challenge: Multimodal shipping, quotes and communications across dozens of countries.
Result: Automated quotes and request handling, less manual coordination.
Speakers - practitioners
They embed AI into business where the result shows up in the P&L.
AI Strategy & Automation Dmitry Kutuzakin
Denmark / Ukraine · CEO & Founder — Protuz
Serial entrepreneur and architect of AI processes. Embeds AI where the result shows up in the P&L within the next quarter.
- 20+ years of management and entrepreneurial experience
- AI in management, marketing, sales and HR
- Corporate AI assistants, accounting and analytics systems
- Scaled a company to $1M revenue in 2 years
AI Strategy & Marketing Svetlana Goncharova
Slovakia / Ukraine · Co-founder — Protuz
PhD (Economics), Associate Professor, business trainer. Helps companies move from experimenting with neural networks to systematic AI adoption.
- 25 years in strategic marketing, management and HR
- Author of 20+ AI programs; MBA lecturer
- A library of 300+ AI prompts for marketing and HR
- 160+ publications, incl. Scopus and Web of Science
Pricing
Three participation packages. Each with its own set of materials and gifts from the speakers.
Silver
only 50 seats 255 € + VAT
355 € Starting price
- Workshop participation
- 2 coffee breaks
- Lunch
- Access to the workshop base
- Silver materials pack
Popular
Gold
only 7 seats 395 € + VAT
495 € Starting price
- Everything in Silver
- Q&A session with the speakers (online, 60 min, after the workshop; group)
- Extended set of templates and prompts
- Gold materials pack
Platinum
only 3 seats 545 € + VAT
645 € Starting price
- Everything in Gold
- Lunch with the speakers
- Front-row seats
- Paid parking
- Maximum materials pack
Starting terms shown. Final terms and company-invoice payment are confirmed at registration.
Questions and answers
Do I need experience with AI?
No. The workshop is clear for beginners and useful for those already using AI. We start with the basic logic: what an agent is, why a knowledge base matters, how to set a role, limits and result.
Do I need to know how to code?
No. This is not a programming course. It's about how to manage agents, give them tasks, connect knowledge and check the result.
Can I ask my own questions?
Yes. Questions and working through specific tasks are an important part of the workshop.
Will we work with my own business?
Yes. Examples are prepared in advance, but the logic of each module transfers to your business: processes, tasks, data, documents and team.
How is this different from YouTube videos?
YouTube gives scattered tips. The workshop gives structure, sequence and live work with experts: you repeat the steps, ask questions and see the scenarios assembled in practice.
Do I need to install tools beforehand?
We'll send a list of what's worth preparing in advance: accounts, services, materials. No complex technical setup is required.
Do I need paid subscriptions?
Some demos may use paid versions, but the core logic is clear without complex corporate plans. We'll send a list of recommended accounts before the event.
Will I have access to materials afterwards?
Yes. Participants get access to the base: templates, guides, prompts and example scenarios - during the workshop and after it.
What do I get in the end?
An understanding of how AI agents work and three working assets: a company knowledge base, an AI agent for your task and a coordinator agent for a business briefing.
Register for the workshop
Leave a request - we'll get in touch, share the details and confirm your seat.