Safe: constraints, risks, policies, best practices
Offer – praktyczne szkolenia i wdrożenia
We focus on what delivers results: processes, tools, and measurable improvements.
Below are the most common ways we work.
1) Training: “AI in everyday work”
From basics to practice: using LLMs for analysis, writing, summarising, planning, and task automation.
2–6honline / onsitehands-on
2) Prompt engineering as a process
We teach prompt design, result verification, and building reusable templates for your use-cases.
warsztatszablonychecklisty
3) Mini-implementations (workflow + automation)
We map the process, pick 2–3 improvement points, and implement a solution (without a “big project”).
2–4 tyg.MVPszybki efekt
Mini demo: how AI/LLM structures a problem
Describe your problem briefly (2–6 sentences). We’ll show an example analysis and follow-up questions.
This demo runs live via an LLM (o4-mini) with limits: 20 words per question, up to 100 words per answer, 100 requests/day.
In the full version (new Potrzebuje.pl) this will run automatically via LLM and store results.
Answerready
Type your question on the left and click “Run AI demo”.
About – jak naprawdę pracujemy z AI/LLM
We don’t teach “how to chat with ChatGPT”. We teach how to build repeatable solutions and safe workflows.
What we do
We design training “by role”: different for managers, specialists, and IT teams.
We base it on practical tasks from your context.
What we show (concretely)
Differences: model vs tool, prompt as a process, quality checks, limitations (hallucinations, bias),
costs, and security best practices.
What you get after training
Checklists, prompt templates, example workflows, and a plan to implement 2–3 improvements “for tomorrow”.
Want training “so you actually learn”?
Write briefly: who the audience is, what problem you want to solve, and your time/budget.
We’ll reply with a proposed format (online/onsite) and a plan.