Episodes featuring Peter Yang
Browse episodes where Peter Yang appears as host or guest. View all episodes →
Peter Yang shares how he built a system of 11 specialized Grok bots after 100+ hours, covering work tasks like YouTube scripting and personal tasks like flight tracking.
Pedro Franceschi, CEO of Brex, joins Peter Yang to explain why founders should build AI employees with defined jobs rather than open-ended agents, and how to run them safely at scale.
Sue Khim, CEO of Brilliant, talks with Peter Yang about why AI tutoring works best when it makes students struggle through problems rather than just giving them answers.
Peter Yang shows four games he built with OpenAI's GPT Astra, from a Star Fox style shooter to an AI startup deck builder, arguing it is the best model he has used for making games.
Peter Yang compares four AI personal agents he uses, Instinct, GrokBot, ChatGPT with Codex, and Hermes, and asks which one you can actually trust with your emails, logins and purchases.
Amol Jain, head of engineering at Replit, talks with Peter Yang about how non-technical founders are building profitable businesses using AI tools, with no coding experience required.
Peter Yang compares ChatGPT, Claude, Grok, and Gemini across 10 real-world use cases to help builders pick the right AI tool for their workflow.
Shreya Shankar and Hamel Husain walk through a 5-step workflow for building AI evaluations using Claude Code, starting with manual error analysis before any automation.
Peter Yang walks through five ways to use Grok Bot, a cloud-based AI agent that automates tasks like research, email cleanup, and travel monitoring without running on your own machine.
Riley Brown, who built a 1.5M+ follower AI education business, joins Peter Yang to show how he uses Codex and AI agents to handle research, scripting, thumbnails, and posting.
Nan Yu and Jacob Shumway from Linear explain how they built a production-ready AI agent, covering architecture choices and go-to-market lessons from their own Linear Agent.
Peter Yang talks with Karan Malhotra, co-founder of Hermes Agent at Nous Research, about how the open source agent aligns any model to its user, avoids sycophancy and slop, and even modded his favorite childhood game.
Peter Yang walks through a six-step process for building an app with AI tools, using his media curation platform Tastemaker as a live example.
Peter Yang talks with Jason Liu of OpenAI's Codex team about how he runs his work through ChatGPT Work and Codex. Liu argues the main job left is putting what you dislike into words.
Thariq Shihipar from Anthropic shows Peter Yang how to build loops and workflows so Claude Code can work autonomously on complex tasks for extended periods.
Peter Yang walks beginners through his setup for the ChatGPT desktop app, ChatGPT Work and Codex, arguing that plugins, long-running threads and scheduled tasks let AI handle email, calendar, meeting prep and simple...
Jared Zoneraich, building in residence at Cognition, talks with Peter Yang about how to build AI agents that work in production without over-engineering them.
Peter Yang tests GPT-5.6 against Claude Fable 5 across six real tasks, including websites, video editing, and mobile apps, to find the better tool for builders.
Rohan Varma, a PM at OpenAI, joins Peter Yang to share how he uses Codex to automate routine product work and operate with 3 to 4x more leverage.
Peter Yang does a 21-minute hands-on test of Gemini Spark, Google's new AI agent, showing what it can automate for people already using Google tools.