Abstract

The talk is based on his current project: a Teacher Panel for a German language school. The goal of the app is to help teachers run live Zoom lessons with less switching between Word documents, lesson materials, Zoom chat, vocabulary notes, links, and post-lesson Telegram messages. The main idea of the talk would be that AI should not be the starting point of a product. The starting point should be the real workflow, user constraints, and business value. AI should not be the starting point of a product. The starting point should be the real workflow, user constraints, and business value. In this project, he carefully uses AI only where it actually supports the teacher—for example, vocabulary support, translations, grammar hints, or lesson preparation—while keeping teacher review and manual approval as core product principles. Points to be covered:

• discovering real teacher workflows and pain points;
• turning DOCX-based methodology files into a structured live lesson panel;
• separating teacher-only guidance from student-facing material;
• designing safe copy/send workflows for Zoom and Telegram;
• deciding where LLMs add value and where classic automation is better;
• architecture and implementation lessons from building a practical AI-enabled MVP. This talk could be useful for engineers and technical leaders because it focuses not on adding AI everywhere, but on designing AI-enabled tools around real users, reliability, trust, and production constraints. Vibe coding and AI tools make implementation faster, but they do not replace product thinking: understanding users, discovering real pain points, validating value, and deciding what should not be automated.

Bio

Pavlo Borysov is a Machine Learning / AI Engineer based in Hamburg, with a background in software engineering, business intelligence, data engineering, and enterprise process automation. He has led software and BI teams in large organizations and currently focuses on practical AI/ML engineering, LLM-based applications, data-driven automation, and integrating AI-enabled tools into real business workflows. His recent work includes AI assistants, workflow automation, API-based integrations, and product-oriented tools for education and business processes.