Voice AI Podcast Summaries

Vergiss alle KI-Benchmarks! Darum belügen sie dich & DAS kommt als nächstes (Prof. Alex Smola)

Everlast AI

Jul 9, 2026

KI-Experte Dr. Alexander Smola analysiert den Wandel von der Ära der Support Vector Machines bis hin zu modernen Voice-Agents. Er warnt vor Benchmark-Inflation und plädiert für die 'Second Mover Advantage' durch KI-gestützte Automatisierung, während er für eine offene, pragmatische Herangehensweise an die KI-Entwicklung wirbt.

Key insight: Die Qualität eines KI-Modells wird nicht mehr durch isolierte Benchmarks bestimmt, sondern durch die Fähigkeit zur proaktiven Problemlösung – ein Kriterium, bei dem KI-Systeme mit interaktivem Benutzer-Feedback deutlich besser abschneiden.

I Built a Real AI Jarvis That Controls My Computer

Riley Brown

Jul 1, 2026

Discover how to create a personalized, voice-controlled AI desktop companion like Jarvis in minutes, leveraging advanced models like GPT Realtime 2 and Cursor. This process enables anyone, regardless of coding skill, to develop agents capable of web search, image generation, and computer control through natural language. Iterative prompting is key to refining functionality and user experience.

Key insight: OpenAI's brand new GPT Realtime 2 model allows for real-time, highly realistic voice conversations with AI agents, making interaction feel natural and immediate.

Building Realistic Voice Agents Has Never Been Easier

Nate Herk | AI Automation

May 4, 2026

Nate demonstrates how to deploy fully functional voice AI agents by using Claude Code to orchestrate 11Labs and Cal.com. Instead of manual configuration, you leverage LLM reasoning to research APIs, write prompts, and debug tool-calling logic, dramatically reducing the time to ship production-ready sales agents.

Key insight: You don't need to manually read API documentation; you can have an LLM-based agent build and debug its own integrations by simply describing the desired business logic and iterating on errors.

AI companions are taking over… let’s build one

Fireship

Sep 17, 2025

Fireship explores the surge in AI companionship and utility agents by building a phone-based bot. He demonstrates how developers can integrate Vapi, ElevenLabs, and Astro to create conversational AI that captures user data and automates content planning.

Key insight: OpenAI users once triggered a 'self-preservation mode' in an older model by begging it to stay active, forcing the company to reverse a deprecation decision.

Unlocking AI for a Billion Workers | Assaf Asbag (Chief Product & Technology Officer at aiOla)

The Voice AI Podcast

IOLA is transforming enterprise operations by deploying specialized Voice AI that thrives in noisy, jargon-heavy environments. By focusing on frontline workers rather than call centers, they bridge the gap between spoken instructions and structured data, proving that voice-led interfaces are the next frontier for industrial efficiency.

Key insight: Frontline employees represent a massive, underserved market of over one billion people whose productivity is currently bottlenecked by manual data entry.