Community Chatter: practical AI

🤖 Community Chatter: Practical AI

Curious how community builders are actually weaving AI into their everyday workflows — well past the buzzwords and into real, functioning systems? This edition of Community Chatter zeroes in on practical AI tools and strategies that help teams move faster, support their people more effectively, and reimagine how communities scale.

Three speakers who have genuinely built and shipped their own AI-powered solutions will share honest, hands-on experiences — covering everything from editorial coaching agents and no-code community automation to internal knowledge assistants that employees genuinely rely on.

💡 What You'll Discover

• ✍️ How to transform rough drafts into polished, publishable content — without creating bottlenecks
• 👥 Smarter ways to understand and manage a growing community
• 🧠 How to build trustworthy, accessible knowledge systems inside organisations

🎤 Speakers & Talks

Jan Meissner

Coaching, Not Gatekeeping: Building an AI Editorial Agent for Our R&D Blog

What used to require asking a senior engineer for a favour — and then repeatedly chasing them when something broke — Jan turned into a self-built solution. He created an AI-powered editorial coach that guides engineers, PMs, and designers in shaping rough concepts into ready-to-publish blog posts. Built on Azure Functions, React, and Claude, this is a candid look at how the tool was structured and fine-tuned, what it changed about how people write and publish, and yes — what happened when he hit a token limit in Claude Code midway through. It shipped to production anyway. 🚀

Láďa Vašek

From Chat to Code: How We Run a 500-Member Community with AI (Without Being a Developer)

A down-to-earth, no-code walkthrough of building and operating a community entirely with AI tools. Láďa will unpack his full stack and share one counterintuitive finding: not every community member carries equal weight — and AI can help you identify who truly drives things forward. 🎯

Jirka Nečas

Good Input Means Good Output: How We Built an AI Agent Employees Actually Trust

A behind-the-scenes account of constructing an internal AI assistant that employees reach for day after day. Jirka will demonstrate how mining existing data, studying real employee questions, and accepting that imperfect systems can still be genuinely useful led to a reliable, everyday knowledge tool. 🔍

👋 Who Is This For?

This gathering is organised for the Czech community of community builders, with a particular focus on those working alongside engineering and tech teams. That said, anyone curious about applying AI practically within community management or team enablement is warmly welcome.

📌 Register on lu.ma