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Russ d'Sa shares how LiveKit went from a small open-source project during the pandemic to powering voice interfaces for giants like OpenAI. He talks about the turning point when LiveKit teamed up on ChatGPT’s voice features, the challenges of making AI sound human, and why voice could be the future of multimodal AI. It’s a story of chance, big shifts, and building the backbone of tomorrow’s AI.

How LiveKit Became An AI Company By Accident

Nishikant Dhanuka talks about what it really takes to make AI agents useful—especially in e-commerce and productivity. From making them smarter with context (like user history and real-time data) to mixing chat and UI for smoother interactions, he breaks down what’s working and what’s not. He also shares why evals matter, how to test with real users, and why AI only succeeds when it actually makes life easier, not more complicated.

Before Building AI Agents Watch This (Deep Agent Expertise)

Demetrios chats with Beyang Liu about Sourcegraph’s AMP, exploring how AI coding agents are reshaping development—from IDEs to natural language commands—boosting productivity, cutting costs, and redefining how developers work with code.

Vibe Coding Changed Forever

Stack Overflow is adapting to the AI era by licensing its trusted Q&A corpus, expanding into discussions and enterprise tools, and reinforcing its role as a reliable source as developer trust in AI output declines.

AI Changed Stack Overflow for the Better

From garage startup to 5 million daily orders—Fabricio Bloisi, CEO of Prosus and founder of iFood, chats with Demetrios about scaling through AI, building a culture of experimentation, and why 800 models across Prosus companies are just the beginning.

5 minutes with Europe's Top CEO Fabricio Bloisi

OLX has a catalog of millions of unique items across a very diverse range of categories. While existing technologies for navigating this assortment are reasonably effective, LLMs offer the potential for a much improved user experience. In this session, we will talk about how we utilized the Agentic flow to transform a customer’s standard search on OLX into something highly personal, fully reflecting the customer’s demands and feelings. Aside from Generative AI, we will also share how we redesigned the search pipeline to work well with agentic architecture. And lastly, we will talk about some lessons learned along the way!

AI Agents Are Revolutionizing E-Commerce at OLX // Nishi and Beatriz

Agents in Production [Podcast Limited Series] Episode Nine – Training LLMs, Picking the Right Models, and GPU Headaches

Paul van der Boor and Zulkuf Genc from Prosus join Demetrios to talk about what it really takes to get AI agents running in production. From building solid eval sets to juggling GPU logistics and figuring out which models are worth using (and when), they share hard-won lessons from the front lines. If you're working with LLMs at scale—or thinking about it—this one’s for you.

The Truth About LLM Training

Demetrios chats with Paul van der Boor and Bruce Martens from Process about the real bottlenecks in AI agent development—not tools, but evaluation and feedback. They unpack when to build vs. buy, the tradeoffs of external vendors, and how internal tools like Copilot are reshaping workflows.

The Hidden Bottlenecks Slowing Down AI Agents

Demetrios chats with Paul van der Boor and Floris Fok about the real-world challenges of deploying AI agents across  @ProsusGroup  of companies. They break down the evolution from simple LLMs to fully interactive systems, tackling scale, UX, and the harsh lessons from failed projects. Packed with insights on what works (and what doesn’t), this episode is a must-listen for anyone serious about AI in production.

The Agent Landscape - Lessons Learned Putting Agents Into Production

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.css-1t9010w-StyledLink:hover *{color:var(--theme-color-primary, #C92C7F);}How LiveKit Became An AI Company By Accident

How LiveKit Became An AI Company By Accident