
Dexter Horthy
Founder and CEO of HumanLayer, building tools to facilitate human-AI agent interaction.
Top 3 podcasts with Dexter Horthy
Ranked by the Snipd community

32 snips
Nov 8, 2024 • 1h 38min
📆 ThursdAI - Nov 7 - Video version, full o1 was given and taken away, Anthropic price hike-u, halloween 💀 recap & more AI news
 Join a lively discussion on the latest open-source AI models from big players like Hugging Face and Meta. Discover fascinating projects from a recent hackathon, including a quirky robotic cactus. There’s also a fun recounting of a Halloween mishap and insights into the soaring prices of AI models like Anthropic’s Haiku 3.5. Explore the challenges in AI hardware development and how human feedback can enhance AI workflows. Plus, get tips on building innovative AI agents for seamless communication! 

10 snips
Sep 23, 2025 • 51min
This YC Startup Exposes the AI Secrets the Top 1% Don’t Share
 Dexter Horthy, co-founder of HumanLayer and a backend engineering whiz, delves into the future of AI with headless agents that do the heavy lifting. He shares how his journey began with a SQL janitor agent and how he rapidly secured initial customers. Dexter highlights the significance of context engineering over traditional coding methods and discusses the challenges of building for elite AI teams versus the masses. He argues that the real bottleneck lies in culture and process, shaping how agents integrate with complex codebases. 

5 snips
May 11, 2025 • 57min
#048 Why Your AI Agents Need Permission to Act, Not Just Read
 Dexter Horthy, the Founder of Human Layer, discusses the importance of integrating human approval into AI actions to enhance trust and utility. He shares insights from his '12-factor agents' framework, emphasizing that AI should request permission before executing critical tasks. The conversation delves into the limitations of current AI capabilities, the challenges of managing human-in-the-loop systems, and the need for robust context engineering. Dexter's approach aims to strike a balance between automation and human oversight, revolutionizing how AI can operate in real-world scenarios. 


