Why pay for a course when I could figure this out myself?

You can. The course is for people who want to establish the method on a live codebase with an engineer, rather than assemble it through trial and error over several projects.

I already tried agents and rewrote the code anyway. How is this different?

The course establishes a working method in which the agent stays inside the boundaries you set and its output is checked before you trust it. We start from the code that caused the earlier problems.

Won't I learn something that is stale in six months?

We teach a method that survives changes in models and plugins: how to set an agent's boundaries and verify its output. You apply it to your codebase and complete a pilot, so the method is already in use when you return to the project.

Is this course for a beginner without a codebase?

You need a codebase and a concrete goal. If you are starting a new project, the first session can include setting up the repository. If you want to work on a process or documents without writing code, choose one-to-one AI training.

We have old code nobody wants to touch. Does the course still apply?

Yes. Coding agents can help map inherited code, compare documentation with implementation, and add verification before new features are introduced. The course applies that method to your repository.

Does the course work with the tool my team already uses?

Yes. We work in the tool used in your codebase. The method rests on specifications, documentation, and quality checks, so it transfers between providers. We also explain when a different tool or working method would be more suitable.

A one-to-one course or a course for a development team?

Both. A 1:1 course for a founder, or a company course with as many developers as you need, on shared code and with a shared pilot at the end. We set the format with you before the quote.

Does the course cover coding-assistance tools?

Yes. We can work in the tool used in your codebase. The program teaches context management, boundaries, specifications, acceptance tests, quality checks, and decision history.

What do you keep afterwards?

You keep the method in your codebase, the working process and a pilot project built with it.

What should we prepare for a repository session?

Bring a repository with an agreed sharing scope, one goal, sample inputs and expected behaviour, a test command or review checklist, and someone who can approve requirements. We confirm access to the selected tool, code-use rules and the absence of secrets in exercise material. For a new project, the first session can include repository setup.

What does a team practise in Claude Code or another coding agent?

For one task, organise repository context, record a requirement, limit files and tools, and prepare a change. Acceptance covers product behaviour, checks independent of the generated implementation and human diff review. Interface changes also receive browser inspection. The team keeps instructions, acceptance criteria, the result record and a rollback route. Release remains a team decision.

AI-Native course. Coding agents on your repository.

We teach how to work with coding agents on the code you use at work: Claude Code, Codex or another team tool. The program includes agent control, specifications, acceptance testing and quality control.

online, on your repository: 1:1 or team
with individual opinions of participants: 5 1:1 sessions
on your code, with a method that stays in the repository: pilot
after one conversation about the repository and the goal: valuation

Book a free process review (30 min)

We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓

Kuba Koziej, CEO and co-founder of MoreGrowth and board member at Natu.Care — Kuba Koziej
CEO and co-founder, MoreGrowth

Why the course

An agent writes code faster than a human. The course teaches you how to verify that this code works.

Working with agents requires a common method: specifications, acceptance tests and review policies. We teach it on your repository, 1:1 or with the entire team. The method stays in the repository after the course.

4 h → 30 min

per day to look for new clients at jaktako.design after 1:1 training, according to the studio.

How the jaktako.design agent loop was created →

What we teach

Controls. Verification. Method.

Waveform control.
The agent performs the saved task within the specified scope. The method of checking the result is agreed before the start.
Result verification.
A green result means that the product has passed tests independent of those written by the agent.
Method in the repository.
The instructions, tests and review rules stay with you and work in your next project.

Which level do you work at today?

These three descriptions show different ways of using AI in a codebase. Choose the one closest to your current practice to see how you could improve verification.

Level 1
Exploring
Occasional use on isolated tasks. You use ChatGPT for suggestions on code snippets and have tried an agent in the repository. After a failed change, you return to manual work because you do not yet have a reliable way to check the output.
Level 2
Assisted developmentTransition point
Faster work with manual verification. You use agents and clear instructions to speed up individual tasks, but every change still needs close manual review. The agent often gets close to a correct result. The amount of work you can check limits how much you can delegate.
Level 3
Controlled agent workflowWhere the course takes you
Defined scope and automated acceptance checks. The agent works within a defined scope. Acceptance tests and quality checks run before human review, so the reviewer can focus on decisions the checks cannot settle.

Moving from assisted development to a controlled agent workflow requires shared specifications, verification, and operating rules. The course establishes that method in your codebase.

How much does the AI agent development course cost, and what are the formats?

The AI-Native course is quoted after a codebase call. We work online one-to-one or with a development team; the amount depends on scope, stack and participant count.

1:1 intensive
A founder, engineer or independent builder who keeps building after the course.
Quoted
after a call · net
One-to-one sessions on your repository. We set up the tools and working method so you can keep using them after the course.
Company course
A dev team moving into agent work
Quoted
after a call · net
As many developers as you need, on your shared codebase: the same method and conventions, so the whole team works the same way and closes the course with a shared pilot.

Price depends on format, participant count, stack, and scope. You receive a quote after one call about the repository and goal. The method and artifacts created during the course remain with you.

Statistics: AI in team work in 2026.

According to the Central Statistical Office (2026), 39.8% of Poles aged 16-74 use AI tools. After 1:1 training, the jaktako.design studio is looking for clients 30 minutes a day instead of 4 hours.

According to the Central Statistical Office (2026), AI is used by 17.8% of enterprises in Poland, twice as many as a year earlier (8.7%).

According to the jaktako.design studio, the savings amount to approximately 73 hours a month with 21 days of work.

Sources: Central Statistical Office, Information society in Poland in 2026 (October 21, 2026) ↗ · The jaktako.design agent loop

Data checked on October 25, 2026.

Poles aged 16–74 use AI tools, according to the Central Statistical Office (2026): 39,8%; Poles aged 16–74 use AI tools, according to the Central Statistical Office (2026)
per day to look for clients at jaktako.design, according to the studio: 4 h → 30 min; per day to look for clients at jaktako.design, according to the studio

AI in Polish companies and our clients

Searching for new clients in the jaktako.design studio, daily

Companies in Poland that use AI (GUS)

The Central Statistical Office examines enterprises that employ at least 10 people. The time in jaktako.design is given by the studio.

How much does the AI-Native course cost?

Full pricing →

We price the course after one conversation about the repository, tool, format and scope.

The amount depends on the technologies used and the number of participants. We work online, 1:1 either with the development team, with Claude Code, Codex or another team tool.

„Why should I trust you?”

Because the system is built by engineers with over 22 years of experience.

You talk to people who then write code. They have worked in large companies and built systems that operate under high traffic.

You won't spend money on a prototype that won't do anything.

First a free conversation, then a free prototype in your trial. If we don't see a return, we don't build and write it straight. You only pay for a system that makes sense.

Polish-Ukrainian team of engineers.

Artem, Przemek and Piotr studied computer science together at the Lublin University of Technology in 2017⁠–⁠2021. Artem and Serhii founded Syntalith together. They both come from Kiev and have been living in Poland for years. We build systems for Polish companies, in Polish and according to Polish law.

What our OpenAI and Anthropic partnerships mean for you.

OpenAI makes ChatGPT and Anthropic makes Claude. We belong to the partnership programs of both companies, so we work with their tools every day and learn from the creators themselves.

Claude Partner Network

01We will select a tool for the task: We implement both ChatGPT and Claude. We check both on your documents, and you choose the one that makes fewer corrections and saves more time.
02Knowledge straight from the creators: We learn from official OpenAI and Anthropic courses and materials. Your team learns about the features and settings that work today.
03Licenses without our margin: When we roll out ChatGPT, Claude or Copilot, you buy the licences directly from OpenAI, Anthropic or Microsoft and they invoice you. We add nothing to the licence.
04Certified engineers: On the team, we have an AWS certification in machine learning and an Anthropic certification in systems architecture on Claude.

Participation in programs does not mean that OpenAI or Anthropic endorses our services.

Let's talk

Just write, call or choose a date.

We work fast because we hate corporate cotton wool. We don't have salespeople or managers to keep an eye on managers. You talk immediately to engineers who then build your system. We respect each other's time and yours too.

We will accept 3 more companies by the end of the year.

Write: contact@syntalith.ai
Call: +48 888 78 48 78
WhatsApp: write on WhatsApp

Mon–Fri 9:00–17:00 CET

Common questions

Why pay for a course when I could figure this out myself?
You can. The course is for people who want to establish the method on a live codebase with an engineer, rather than assemble it through trial and error over several projects.
I already tried agents and rewrote the code anyway. How is this different?
The course establishes a working method in which the agent stays inside the boundaries you set and its output is checked before you trust it. We start from the code that caused the earlier problems.
Won't I learn something that is stale in six months?
We teach a method that survives changes in models and plugins: how to set an agent's boundaries and verify its output. You apply it to your codebase and complete a pilot, so the method is already in use when you return to the project.
How much does the AI-Native course cost?
Price depends on the format, repository, stack, goal, and number of participants. We give you a fixed quote after one call about the codebase.
Is this course for a beginner without a codebase?
You need a codebase and a concrete goal. If you are starting a new project, the first session can include setting up the repository. If you want to work on a process or documents without writing code, choose one-to-one AI training.
We have old code nobody wants to touch. Does the course still apply?
Yes. Coding agents can help map inherited code, compare documentation with implementation, and add verification before new features are introduced. The course applies that method to your repository.
Does the course work with the tool my team already uses?
Yes. We work in the tool used in your codebase. The method rests on specifications, documentation, and quality checks, so it transfers between providers. We also explain when a different tool or working method would be more suitable.
A one-to-one course or a course for a development team?
Both. A 1:1 course for a founder, or a company course with as many developers as you need, on shared code and with a shared pilot at the end. We set the format with you before the quote.
Does the course cover coding-assistance tools?
Yes. We can work in the tool used in your codebase. The program teaches context management, boundaries, specifications, acceptance tests, quality checks, and decision history.
What do you keep afterwards?
You keep the method in your codebase, the working process and a pilot project built with it.
What should we prepare for a repository session?
Bring a repository with an agreed sharing scope, one goal, sample inputs and expected behaviour, a test command or review checklist, and someone who can approve requirements. We confirm access to the selected tool, code-use rules and the absence of secrets in exercise material. For a new project, the first session can include repository setup.
What does a team practise in Claude Code or another coding agent?
For one task, organise repository context, record a requirement, limit files and tools, and prepare a change. Acceptance covers product behaviour, checks independent of the generated implementation and human diff review. Interface changes also receive browser inspection. The team keeps instructions, acceptance criteria, the result record and a rollback route. Release remains a team decision.