Patrick Löber from Google DeepMind provides a technical walkthrough of the Gemini API's "any-to-any" capabilities. The session covers multimodal understanding of complex documents, video, and audio; an agentic loop using function calling to trigger native image and speech generation; and the real-time, audio-to-audio Live API.
John Glasgow, founder of AI-native ERP Campfire, discusses his journey from a Google Sheets MVP to displacing NetSuite. He covers the importance of founder-led sales to $1M ARR, using a narrow feature set as a wedge into the market, and how the rise of AI flipped the script on what constitutes a "safe" enterprise software choice.
Rafael Borger and Daniel Wolbert from iFood discuss the engineering and product strategy behind ILO-Agent, their conversational AI for 200 million users. They cover hyper-personalized recommendation systems, the "Latency Goldilocks Zone" where AI responses can be too fast for users to trust, and the architectural challenges of building multi-channel agents for text and voice.
A deep dive into Despegar's GenAI travel agent, Sofia. Explore its multi-agent architecture, the custom orchestration layer 'Chappi' built before MCP was a standard, and the strategy of decentralizing agent development across company squads to cover the entire five-phase travel arc.
Ekaterina Sirazitdinova from NVIDIA provides a high-level overview of the latest trends shaping the future of AI, covering the evolution from early deep learning to the rise of agentic and physical AI, and diving deep into the critical optimization techniques required to deploy these powerful models efficiently.
This week's podcast delves into the rapidly evolving landscape of AI-powered vulnerability management, discussing OpenAI's Daybreak, Microsoft's MDASH, and Mistral's Mythos competitor. The panel analyzes the measured real-world results of Anthropic's Mythos on the curl project and explores the implications of the notorious Shai-Hulud npm worm going open source.