Join us as we explore Perplexity's bold move to launch the Comet browser, a strategic decision driven by the ambition to own the AI agent workflow and redefine web interaction. We delve into their unique vision for an ad-free, subscription-based future and how they select and train AI models without competing in the frontier model "rat race". Finally, we tackle the CEO's candid thoughts on AI's profound impact on job displacement and the critical need for human adaptation in a rapidly evolving technological landscape.

Welcome to an essential episode on Context Engineering, the strategy separating real AI coding results from "vibe coding". We'll introduce the revolutionary PRP framework, a systematic approach to provide extensive context to AI assistants. Discover how this process can 10x your builds and enable the creation of production-ready code on the first pass.

Welcome to "The Agent Builder's Blueprint"! In this episode, we'll demystify the process of building AI agents, guiding you from a mere idea to real-world impact. Discover a practical, step-by-step framework for defining your agent's job, designing its operating procedure, building a minimal viable product, and integrating it with real data. We'll also cover essential strategies for testing, deploying, and continuously refining your agent, emphasizing that iteration is key to building useful and reliable solutions.

In this episode, Dylan Patel, a leading AI expert, dissects the current state of artificial intelligence among tech giants. We uncover the organizational hurdles at Meta, the strategic missteps leading to GPT 4.5's struggles, and Apple's unique challenges in the AI race. Discover the fierce chip competition between Nvidia and AMD and hear bold predictions on who will achieve superintelligence first.

Join us for an insightful conversation with Jonathan Ross, founder and CEO of Groq, as he shares his journey from inventing Google's TPU to creating a revolutionary AI silicon company. Discover Groq's unique architecture and insane inference speed, and how it's designed to overcome memory bottlenecks and drive the future of AI compute. Ross also discusses the critical role of compute as the "new oil," the economics of inference, and the societal implications of generative AI.

Welcome to a special episode exploring June 2025, a true watershed moment in AI development. We'll dive into groundbreaking announcements like the official confirmation of GPT-5, revolutionary AI coding assistants, and milestones in healthcare AI. Join us to understand how these unprecedented advancements are reshaping technology and daily life.

In this episode, we unpack Context Engineering, the cutting-edge approach that's being hailed as 10x better than prompt engineering and 100x better than vibe coding for developing robust LLM applications. We'll explore why this developer-facing system design, endorsed by figures like Andrej Karpathy and Tobi Lütke, is replacing the "clever one-liner" prompts and intuitive "vibe coding" of the past. Discover how providing all the necessary context for an LLM to plausibly solve a task is fundamentally changing AI software architecture.

Welcome to the show! In this episode, we explore the transformative journey of becoming an AI-first company, moving beyond mere automation to a complete reimagination of how businesses operate and create value. We'll discuss how AI serves as a catalyst for new capabilities, enabling human-AI partnerships that unlock unprecedented productivity and innovation. Join us as we uncover the principles, common pitfalls, and actionable steps for successfully navigating this defining era of business transformation.

Andrej Karpathy's presentation explores the evolving landscape of software development, introducing the concepts of Software 1.0 (traditional code), Software 2.0 (neural network weights), and the emerging Software 3.0 (Large Language Models or LLMs programmed via natural language prompts). He analogizes LLMs to new operating systems or utilities, emphasizing their unique characteristics, such as human-like psychology with both superhuman capabilities and cognitive deficits like hallucination and memory limitations. Karpathy discusses the opportunities for building "partial autonomy apps" that allow humans to verify AI-generated work efficiently, and he highlights the revolutionary aspect of natural language programming enabling wider participation in software creation. Finally, he proposes adapting existing digital infrastructure, including documentation and user interfaces, to be more "agent-friendly" for a future where AI agents play an increasingly significant role.

Tune into this episode as we explore Sierra's innovative Agent Development Life Cycle (ADLC), a robust process for building and continuously improving AI agents for businesses. Discover how they tackle the unique challenges of Large Language Models (LLMs) to create powerful conversational experiences, from customer service to sales. Learn how companies like Chubbies and SiriusXM leverage these agents to redefine customer interaction and achieve continuous improvement.