Rooting - The Podcast

From reactive chatbots to agents that plan, delegate, and think across extended timescales. We explore Deep Agents and the Recursive Language Models paradigm that's redefining AI in 2026. What's the difference between a chatbot and an agent? A chatbot responds, an agent acts. In this episode, we go deep on: Deep Agents: systems that plan and delegate like project managers Planning patterns: hierar...

Why does 60% of an AI agent's success have nothing to do with the model? In this episode, we explore context engineering: the hidden discipline that separates impressive demos from systems that actually work in production. Ever built an AI agent that was brilliant in testing but failed miserably in production? The problem isn't the model. It's the context. In this episode, we cover: Context rot: w...

This episode of Rooting exposes the hidden enemy of modern agent architectures: context rot. We explore why long context windows aren’t a silver bullet, how attention budgets degrade over time, and the four ways rot shows up in real systems—poisoning, distraction, confusion, and clash. Listeners learn why million-token prompts still fail, why observability must extend into the model’s working memo...

We are moving past the limitations of probabilistic AI by embracing formal logic and verification . This approach allows us to mathematically prove that our AI systems will behave correctly under specific conditions, providing a new level of trust and reliability essential for critical applications in finance, healthcare, and beyond. This is the second and last part of the episode. This episode in...

We are moving past the limitations of probabilistic AI by embracing formal logic and verification . This approach allows us to mathematically prove that our AI systems will behave correctly under specific conditions, providing a new level of trust and reliability essential for critical applications in finance, healthcare, and beyond. This is the first part of a two-part podcast This episode includ...

We go beyond prompt engineering to focus on context engineering , a systematic approach to building production-grade AI. By treating the agent's context as a structured, observable pipeline, we enable teams to create robust, cost-effective, and scalable AI systems that deliver real business value. This episode includes AI-generated content.

What separates a forgetful chatbot from an AI agent that feels truly smart? In this episode, Root unpacks the power of memory in AI—from basic sliding windows to advanced retrieval-augmented and memory-augmented strategies inspired by neuroscience. Discover how the right memory architecture enables personalization, learning, and adaptability in your agents. Whether you’re building customer support...

Dive into the evolving world of AI context windows with Rooting. This episode unpacks the surprising paradox of 'more memory' in AI models: exploring the immense benefits of larger context, the hidden limitations like reasoning degradation, and the cutting-edge engineering techniques—from positional encoding tricks to novel reasoning architectures—that are shaping how AI truly understands and reme...

How much do artificial intelligence systems really resemble the human mind? In this episode of Rooting, The Podcast, host Root takes you on a deep dive into the emerging metaphor that’s reshaping our understanding of AI: the idea that modern large language models and multi-agent systems are designed with architectures that parallel human cognition. Explore how features like chat interfaces act as...

Welcome to Rooting, a podcast about AI, made by AI with a human touch! Meet Root, your AI host with a mission: cutting through the noise and hype to help technical leaders make sense of modern AI. In this special intro episode, Root pulls back the curtain and shares how an AI, trained on the latest research and guided by top human experts, is ready to become your go-to guide in the fast-changing w...