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Agent-Driven Meetup Prague: The Future of Civilization Powered by Agents

Prague is quickly becoming a hub for next-generation software innovation, and this meetup is dedicated to one of the most transformative shifts in technology today: large language models (LLMs) as the foundation of modern software.

We are witnessing the dawn of Software 3.0—a new paradigm where software is no longer defined by rigid code and fixed rules, but by adaptive reasoning engines. Instead of endless interfaces and predefined workflows, we now design systems that understand natural language, make decisions in uncertain environments, and continuously adapt to context.

At this event, we will explore:
• LLMs as the new computing layer: how they are evolving into operating systems, utilities, and reasoning companions for humans.
• Agentic AI and autonomy: systems that go beyond simple input-output to act, plan, and use tools in pursuit of goals.
• The modern LLM application stack: from data pipelines to orchestration frameworks, and how developers are building production-grade applications.
• Real-world applications: automation, knowledge management, creative tools, unstructured data processing, and more.
• Challenges and opportunities: scaling, alignment, open vs. closed ecosystems, and the economics of deploying LLMs.

This meetup is designed for AI engineers, software developers, researchers, entrepreneurs, and anyone curious about the future of intelligent systems. Expect thought-provoking talks, hands-on demos, and open discussions about how Prague can play a role in shaping the evolution of AI-powered software.

Join us to connect with pioneers, share ideas, and help define the next era of software—where the new programming language is human language itself.

Agentic Product Management — with Jiri Kobelka, ex-founder of Tatum

Agentic Product Management — with Jiri Kobelka, ex-founder of Tatum

Pražská tržnice, Bubenské nábřeží 306/13, Hlavní město Praha, CZ

AI writes code over a weekend now. So why aren't products 10× better?
Because the bottleneck moved. Not building — knowing what to build.
We're hosting Jiri Kobelka — founder and CEO of Tatum which sold for 46M USD, the developer platform he scaled to 150k+ developers, and now founder of ClosedLoop AI. Over the past year he's been inside US AI-native product companies, mapping how the best teams have completely inverted how they decide what to build.
ClosedLoop turns 100% of customer conversations — every call, ticket, and Slack thread — into structured product intelligence, and feeds it straight to the AI coding agents (Claude, Cursor) over MCP. The machine collects and clusters; the human investigates and decides; the agents build and ship. Customer conversations moved from the first step of discovery to the last step of validation.
The talk. The new operating model Jiri saw from the inside — and the patterns you never see when you read 5% of your feedback by hand: why 70% of churning customers had a positive NPS 60 days before leaving, why customers who never file a single ticket churn at 2×, why three of four lost deals name the same competitor weeks in advance. Plus a live demo — five of a real company's biggest problems, surfaced in ten minutes.
The workshop. Then we get hands-on. Everyone works the same fictional SaaS company and drills one move — what the customer said → what's the real problem → what wrong assumption am I making → what do I actually build — across three escalating cases, each with a trap engineered so the obvious answer is wrong. Then you hand your decision to an agent as a context brief and watch it turn your judgment into a grounded build plan. The point lands without a line of code: the agent does the fast part, you do the irreplaceable part.
Because the last bottleneck is the one that was always there: the customer.

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