Services

Individual practical AI education

Learning through your real tasks: giving AI context, working with data, building assistants and agents, and checking output quality without programming.

Mykhailo Patsan — individual practical AI learning
For whom
Entrepreneurs, managers, and professionals with no technical background required.
Format
Personal practical sessions based on your tasks, 58 applied lessons, more than 40 ready AI agents with instructions, and three months of access to the material.

What you receive

A working way to use artificial intelligence for your tasks

  1. 01

    An understanding of which model, AI agent, and tools fit your specific task.

  2. 02

    A working method for context, prompts, files, and memory.

  3. 03

    A practical AI assistant or agent process for repeatable work.

  4. 04

    Your own AI agent configured for your tasks, rules, and way of working.

  5. 05

    The ability to check quality, sources, safety, and automation boundaries.

  6. 06

    More than 40 ready AI agents with instructions that can be adapted to your own tasks.

Individual to your tasks

Learning program

  • 01How AI models, assistants, and agents work, and which system fits your task
  • 02How to frame a task and provide context, examples, files, and outcome criteria
  • 03Deep research, information search, fact checking, and source work
  • 04Working with documents, spreadsheets, presentations, images, and large information sets
  • 05Building a personal AI assistant with memory, your rules, and working style
  • 06AI agents for research, sales, marketing, people operations, finance, and analysis
  • 07Connecting tools and building repeatable workflows without programming
  • 08Privacy, security, copyright, and answer-quality checks
  • 09Implementing your own AI assistant or agent workflow in daily work

Practice throughout the program

  • We work through your real tasks rather than context-free exercises
  • We create your own library of prompts, rules, and ready workflows
  • We configure at least one AI assistant or agent workflow for your outcome
  • We review how the solution performs in daily practice and improve it

How we start

From your task to a working solution

  1. 01

    Your tasks

    We choose two or three working scenarios around which learning is built.

  2. 02

    Guided practice

    We work live and build the necessary templates, assistants, and rules.

  3. 03

    Implementation

    We embed the process into daily work and review the real result.

Individual learning enquiry

Describe the context — we will propose a solution

Share the problem, desired outcome, and timing. We will propose a suitable format, duration, and fee.