I am new to AI
You want to move beyond isolated experiments and understand how to get reliable results.
Guided learning
Learn AI by building something useful
Start with a real task. Learn to frame the need, test a tool, verify the result, and improve the workflow without depending on an opaque recipe.
The progression
From a first test to controlled automation
The path adapts to your level and chosen case. Every step produces an observable result.
- 1
Understand the possibilities and limits
Distinguish generation, extraction, search, rules, and automation.
- 2
Write a verifiable instruction
Define the expected information, format, and quality criteria.
- 3
Connect one or two steps
Trigger an action, transform data, and save the result.
- 4
Add controls
Plan for exceptions, approvals, and recovery after failure.
- 5
Measure and document
Compare before and after, then keep a simple maintenance procedure.
What you learn
Skills that transfer between tools
Interfaces change quickly. The ability to frame, test, and control remains useful regardless of the tool.
- Break a process into clear steps
- Choose between a rule, AI, and human intervention
- Evaluate an answer instead of trusting it by default
- Limit the data sent to a service
- Plan recovery when a workflow fails
- Explain and maintain what you built
Who is it for?
People who want to improve their own work
I already use a few tools
You want to connect your uses and reduce copying and pasting between applications.
I support a team
You want to identify useful cases and set common rules before deployment.
Trial session
You can change your mind without explaining why
If the subject feels too difficult to automate, you feel lost, or the approach does not suit you, the trial session is 100% refundable. The process and deadline will be communicated before payment.
Before the first session