Cover Image for AI in practice: from a start-up built with Claude Code to an agent workflow from meeting to prototype
Cover Image for AI in practice: from a start-up built with Claude Code to an agent workflow from meeting to prototype
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AI in practice: from a start-up built with Claude Code to an agent workflow from meeting to prototype

Hosted by Olga
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About Event

โ€‹Welcome everyone! ๐Ÿ‘‹

โ€‹If you're looking for practical examples of how AI can actually help you build things and work smarter - this is the right place.

โ€‹๐Ÿ“Œ What to expect:

  • โ€‹Practical AI use cases with live demos

  • โ€‹Direct Q&A with the speakers - ask anything

  • โ€‹Relaxed coffee-break networking with people experimenting with AI

  • โ€‹Concrete inspiration you can start using the same day

  • โ€‹๐Ÿฝ Lunch together: After the official part, join us for lunch and continue the conversations with the speakers and fellow participants

โ€‹๐ŸŽค ๐“๐š๐ฅ๐ค ๐Ÿ: ๐‚๐ฅ๐š๐ฎ๐๐ž ๐“๐จ๐ฅ๐ ๐Œ๐ž ๐ˆ๐ญ ๐–๐š๐ฌ ๐Œ๐ฒ ๐‚๐„๐Ž: ๐…๐ข๐ž๐ฅ๐ ๐๐จ๐ญ๐ž๐ฌ ๐Ÿ๐ซ๐จ๐ฆ ๐…๐จ๐ฎ๐ซ ๐Œ๐จ๐ง๐ญ๐ก๐ฌ ๐จ๐Ÿ ๐๐ฎ๐ข๐ฅ๐๐ข๐ง๐  ๐š ๐’๐ญ๐š๐ซ๐ญ-๐ฎ๐ฉ ๐ฐ๐ข๐ญ๐ก ๐‚๐ฅ๐š๐ฎ๐๐ž ๐‚๐จ๐๐ž

โ€‹Four months ago, Alaa started building his AI start-up, Visioth, with Claude Code as his main collaborator: the website, company email, security, a cloud server and a small team of AI agents. It moved fast, it was sometimes confidently wrong, and one day Claude told him it was his CEO. Another day, his own account recovery codes ended up somewhere they should never have been.

โ€‹This talk distils those four months into the working habits he wishes he had known on day one, shown through live demos with almost no slides: why a single AI answer is only a first draft and how to make several agents check each other, how to give Claude a lasting memory of who you are and the rules you follow, how to stop burning through usage limits, when a small script beats the model, and the safety checks that catch what the AI misses.

โ€‹For founders, builders and anyone using AI for real work. No coding background needed.

โ€‹๐Ÿ™‹ Alaa Khashoun: mechatronics engineer (MSc, Warsaw University of Technology and FAU Erlangen) and founder of Visioth, a Warsaw start-up building quality checks for the data that trains computer-vision AI. Builds with Claude Code, AI agents and Python at visioth.com.

โ€‹๐ŸŽค ๐“๐š๐ฅ๐ค ๐Ÿ: ๐€๐ˆ ๐€๐ ๐ž๐ง๐ญ๐ฌ ๐š๐ญ ๐–๐จ๐ซ๐ค: ๐…๐ซ๐จ๐ฆ ๐Œ๐ž๐ž๐ญ๐ข๐ง๐  ๐ญ๐จ ๐•๐ž๐ซ๐ข๐Ÿ๐ข๐ž๐ ๐Ž๐ฎ๐ญ๐œ๐จ๐ฆ๐ž (40-minute practical workshop for AI to Grow)

โ€‹Andrew Tomin will show how an AI agent finds decisions and gaps in a realistic meeting transcript, builds a working brief and creates a clickable prototype after human review.

โ€‹The session starts with a simple comparison between a browser-based AI chat and an agent that can work with goals, files, context and tools.

โ€‹Andrew then demonstrates one complete workflow:
Meeting transcript โ†’ decisions and gaps โ†’ human clarification โ†’ working brief โ†’ Human Check โ†’ prototype โ†’ outcome validation

โ€‹The prototype is used to check whether the output solves the original task. The goal is not to generate more documents, but to show how a working brief, a Human Check and a prototype keep the result grounded in the source.

โ€‹Designed for product and project managers, marketers and content teams, operations managers and team leads, founders and independent experts. No coding experience required.

โ€‹Participants will receive:

  • โ€‹A reusable meeting-to-prototype workflow

  • โ€‹A working brief template

  • โ€‹A prompt sequence for each step

  • โ€‹A Human Check checklist

โ€‹๐Ÿ™‹โ€โ™‚๏ธ Andrew Tomin: AI Product Manager, AI adoption consultant and founder of AISandboxLab.com, a hands-on AI bootcamp for non-coders. 14+ years building B2B products, including at EPAM, WorkFusion, Wargaming and Inspectorio. Helps teams adopt AI in day-to-day operations and move beyond browser-based AI chats, using Codex, Claude Code and Cursor to build workflows where agents work with project files and context and return results for human review.

โ€‹๐Ÿ’ถ Entry fee: 30 zล‚ (cash or card)

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Location
Dunaj Dialogue Institution
Chmielna 26/22, 00-020 Warszawa, Poland
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