AI in practice
Szczegรณลy
Welcome everyone! ๐
If you're looking for practical examples of how AI can actually help you build things and work smarter - this is the right place.
๐ What to expect:
Practical AI use cases with live demos
Direct Q&A with the speakers - ask anything
Relaxed coffee-break networking with people experimenting with AI
Concrete inspiration you can start using the same day
๐ค ๐๐๐ฅ๐ค ๐: ๐๐ฎ๐ข๐ฅ๐๐ข๐ง๐ ๐๐ง ๐๐ง๐๐๐ฉ๐๐ง๐๐๐ง๐ญ ๐๐๐ฐ๐ฌ๐ฅ๐๐ญ๐ญ๐๐ซ ๐๐ฎ๐ญ๐จ๐ฆ๐๐ญ๐ข๐จ๐ง: ๐ง๐๐ง, ๐๐๐ฅ๐-๐๐จ๐ฌ๐ญ๐ข๐ง๐ , ๐๐ง๐ ๐๐จ๐๐๐ฅ ๐๐ ๐๐จ๐๐๐ฅ๐ฌ
This is a deep dive into the "why" and "how" of breaking free from SaaS subscriptions to build a fully independent automation stack. From choosing the right hardware to orchestrating n8n with local LLMs, this talk follows the journey of moving away from off-the-shelf tools to a custom, self-hosted ecosystem. Itโs a transparent look at the pitfalls of over-engineering, the hardware reality of running local AI, and a provocative discussion on whether the privacy and cost-savings are worth the "tinker's tax."
๐โโ๏ธ Grzegorz ลukasik - Prompt Engineer and creative problem-solver constantly hunting for non-obvious AI solutions.
๐ค ๐๐๐ฅ๐ค ๐: ๐๐-๐๐ฌ๐ฌ๐ข๐ฌ๐ญ๐๐ ๐๐๐ซ๐ข๐ฉ๐ญ๐ฐ๐ซ๐ข๐ญ๐ข๐ง๐ : ๐๐ฎ๐ข๐ฅ๐๐ข๐ง๐ ๐๐๐๐ฉ-๐๐ข๐ฏ๐ ๐๐๐ฌ๐ฌ๐จ๐ง๐ฌ ๐๐ซ๐จ๐ฆ ๐๐จ๐ง๐๐๐ฉ๐ญ ๐ญ๐จ ๐๐จ๐ง๐ญ๐๐ง๐ญ
This journey highlights how emerging tools can reshape the creative process. It also opens the curtain on a structured approach to building deepโdive lesson scenarios with AI - from initial concept to fully generated educational content produced in collaboration with colleagues and supported by advanced AI systems.
๐ Maryna Lebid - AI Scriptwriter in EdTech. Leveraging 10 years of Banking leadership and startup QA experience
๐ค ๐๐๐ฅ๐ค ๐: ๐ ๐ซ๐จ๐ฆ ๐๐ญ๐จ๐ซ๐ฒ ๐๐๐ฉ ๐ญ๐จ ๐๐๐ฉ๐ฅ๐จ๐ฒ๐๐ ๐๐๐: ๐๐จ๐ฐ ๐๐ข๐ฏ๐ข๐ง๐ ๐๐จ๐๐ฎ๐ฆ๐๐ง๐ญ๐ฌ ๐๐๐๐ ๐๐ข๐๐-๐๐จ๐๐ข๐ง๐ ๐๐๐ญ๐ฎ๐๐ฅ๐ฅ๐ฒ ๐๐จ๐ซ๐ค
Most vibe-coding stories skip the thinking part. This one doesn't. Tatyana built a personal dance video archive using a full PM cycle - story map, PRD, architecture doc, wireframes, design system, and dev handoffs - updating every artifact between versions. That discipline kept Claude in context across multiple chat sessions and made each new version faster than the last. A case study in how structured product thinking makes AI-assisted development more predictable and less chaotic.
๐ Tatyana Pribolovets - Business Analyst with a focus on Product Management. Using personal projects to practice the PM craft.