I help you find where AI is genuinely useful, build it into real workflows, and teach your people to apply it to business, content, management, and training tasks.
Not isolated prompts, but clear scenarios, training, and adoption into everyday work.
Early AI experiments bring quick, local wins. The bigger effect comes later — when tasks, context, quality checks, and the usual workflow change with it.
Productivity J-Curve
Why the main effect of AI doesn't appear right away
AI can strengthen an expert's personal work, a leader's management decisions, and a team's processes. The place to start is not choosing a tool, but understanding where exactly AI should change the work.
When the expertise is already there but there's no large team, AI helps turn ideas into content, pages, materials, products, and client documents faster.
AI can be a leader's personal working tool: for analysis, preparing decisions, documents, meetings, and assigning tasks.
So AI doesn't stay buried in individual chats, you need clear scenarios, training, quality rules, and a defined place for AI in the workflow.
AI becomes useful when it's tied to a specific task: a decision, a process, a piece of material, a team, content, or a new product idea.
A task can be small or systemic. What matters is finding where AI truly changes the work — and only then choosing the tools.
You can start with a single consultation, dig deeper into your processes, build a personal working setup, or train a team. The format depends on where AI should deliver real impact.
Where to start
A good fit if you sense AI could be useful but it's not yet clear which tasks to start with or where the real effect will be.
A good fit when
Result
You get a clear map of tasks: where AI can help, what's better left alone for now, and which format to choose next.
Map the system
We review your current tasks, documents, recurring processes, and the points where AI can add value without chaotic experiments.
A good fit when
Result
A map of AI scenarios, adoption priorities, and clear next steps for an expert, a leader, or a team.
Personal track
One-on-one work for an expert, entrepreneur, or leader to build AI into specific working tasks.
A good fit when
Result
A working process that's set up, clear rules for using AI, and first practical results on your own tasks.
For employees
Hands-on team training on real tasks: how to frame tasks for AI, give context, check quality, and apply the result.
A good fit when
Result
The team understands where and how to use AI, how to check the result, and how to apply the tool within agreed processes.
Not sure which format fits? Describe your task and we'll find the first step.
See the services, working formats, and support options available at AI Hub.
More about services →First we look at how the work happens today. Then we choose where AI genuinely helps, build a working setup, test it on real tasks, and hand over the process so it can be repeated.
Step 01
What we do
We look at how the task is done today: who's involved, what materials are used, where time is lost, what constraints exist, and what result is needed.
Output
Step 02
What we do
We select the tasks where AI can truly add speed, quality, or a new way of working. We separate useful scenarios from those where the tool would create more noise than value.
Output
Step 03
What we do
We choose the tools and assemble the context, task templates, material structure, and working rules. At this stage AI stops being a separate chat and becomes part of a clear process.
Output
Step 04
What we do
We test the process on your own materials: documents, texts, meetings, content, training materials, or internal tasks. We see where the result is good, where AI makes mistakes, and which review rules are needed.
Output
Step 05
What we do
We lock the process down so it can be repeated: how to frame the task, what context to use, where to store materials, what to check, and how to train a person or a team.
Output
Practical breakdowns of content systems, automation, and visual workflows — with the process, tools, and review boundaries behind the result.
Cursor Cloud Automation case study: ChatGPT + Cursor workflow, structured queue, repo docs, Vercel preview, and human review for controlled AI content production with cloud agents.
Read case study
A case study on creating a consistent AI-generated visual world for LinkedIn posts: avatar benchmark, recurring AI character, Patagonia setting, prompt rules and review workflow.
Read case study
A behind-the-scenes case study on turning product logic into articles, interactive pages, LinkedIn posts and carousel PDFs with ChatGPT, Cursor and a reusable content workflow.
Read case studyPart of the approach can be taken as a course or a set of materials: with a clear structure, working steps, and a result you can apply in your own work.
A hands-on course on going from a page idea to a published version: shaping the structure, writing the copy, working with ChatGPT and Cursor, running the project through GitHub, and publishing the result on Vercel.
A course on regular expert content with AI: strategy, articles, publishing, and reusing materials without losing your own voice.
The courses show the approach on specific tasks. If you need work tailored to your situation, it's better to start with a consultation or a process review.
Describe what you'd like to improve with AI, and I'll suggest a first step and a fitting format to work together.
$60/hour
Base rate: $60/hour
The first 30 minutes for new clients are free.
Project work and team training are estimated individually based on the scope and number of hours.
A short guide to how we start, what tasks you can bring, and what to expect from the first consultation.
You can start with a diagnostic consultation. We'll review your work, tasks, and current processes, then identify where AI can deliver real value: in materials, decisions, content, team training, or internal processes.
Yes. Often the first part of the work is turning a general sense that "AI could be useful" into a clear map of tasks and priorities. You don't need to know the exact tool or solution format in advance.
The format depends on the task. Sometimes a single consultation is enough; sometimes you need a process audit, one-on-one work, or team training. The goal isn't just to explain a tool, but to help build AI into specific work.
No. Most tasks aren't about programming — they're about framing tasks, giving context, checking the result, and applying AI in real work. If code-first tools are needed, for example for pages or prototypes, the process can be done step by step.
Yes. We can work through leaders' tasks, train employees, set up shared rules for using AI, and find scenarios that can be built into a team's or a company's processes.
Individual consultations and project work are billed at $60/hour. The first 30 minutes are free for new clients: that's enough to get to know each other, discuss the task, and decide which format fits.
You submit a request or message on Telegram and briefly describe your task. After that we clarify the context, agree on a format, and decide where to start: a consultation, an audit, one-on-one work, or team training.