Build Wiz AI Show

In this episode, Andrew Ng and Lawrence Moroni discuss why now is the "golden age" for building a career in AI, highlighting how the complexity of tasks AI can perform is doubling as rapidly as every seven months,,. The conversation explores the shifting landscape of "vibe coding" and the evolving ratio between engineers and product managers , emphasizing that the new bottlenec...

This episode explores the critical July 2025 maturation point, where the initial generative AI hype gives way to the practical challenges of securing ROI and closing the "Data Readiness Gap" . We break down the rise of Agentic AI and the strategic architectures essential for moving beyond disjointed pilot programs to translate initiatives into measurable financial value. Finally, we exam...

This episode explores the rapid shift in enterprise AI adoption , highlighting how production-level agent deployment has surged as organizations move past initial experimental phases. Drawing on a study of thousands of use cases, we analyze the ROI of AI , distinguishing between common time savings and the high-impact, transformational benefits found in automation and risk reduction. We also exami...

Join us as we tackle the "last mile" of AI Agents series, exploring the rigorous operational discipline required to transform fragile prototypes into reliable, production-grade agents. We break down the essential infrastructure of trust—from evaluation gates to automated pipelines—that ensures your system is ready for the real world. This foundation paves the way for our series finale wh...

In this episode of our AI Agent series, we synthesize our previous discussions on evaluation frameworks and observability into a cohesive operational playbook known as the "Agent Quality Flywheel",. Join us as we explore how to transform raw telemetry into a continuous feedback loop that drives relentless improvement, ensuring your autonomous agents are not just capable, but truly trustw...

Moving beyond the temporary "workbench" of individual sessions, episode 3 of our AI Agents series unlocks the power of Memory —the mechanism that allows AI agents to persist knowledge and personalize interactions over time. We will explore how agents utilize an intelligent extraction and consolidation pipeline to curate a long-term "filing cabinet" of user insights, effectively...

The new Gemini interactions API unifies modern LLM requirements, moving past older stateless APIs to fully embrace agents and complex workflows. This major update simplifies multimodality and structured outputs , while offering optional server-side history to persist conversation memory. We explore using the API to call the Gemini research agent and leverage background execution for long-running i...

In this episode in series AI Agents, we discuss the transformation of foundation models from static prediction engines into "Agentic AI" capable of using tools as their "eyes and hands" to interact with the world. We highlight the complexity of connecting these agents to diverse enterprise systems, setting the stage for Episode 1 to explain the "N x M" integration pro...

Join us for the premiere of our series on AI Agents, exploring the paradigm shift from passive predictive models to autonomous systems capable of reasoning and action. In this episode, we deconstruct the core anatomy of an agent—its "Brain" (Model), "Hands" (Tools), and "Nervous System" (Orchestration)—to explain the fundamental "Think, Act, Observe" loop th...

Explore the emerging "year of agentic AI" through the first large-scale field study of Perplexity’s Comet browser, which analyzes millions of user interactions to understand how autonomous agents are reshaping daily workflows,. We discuss key findings revealing that early adoption is driven by educated, knowledge-intensive professionals who primarily use agents for productivity and learn...

Monetizing AI is uniquely challenging, driven by rapid cost changes and intense customer demand for demonstrable ROI. We discuss essential frameworks, including selecting the right value metric—from resource-based tokens to outcome-based pricing—to ensure alignment between price and perceived value. Learn why continual experimentation is vital and how data-informed tools like Orb Simulations can h...

The era of production AI agents is here. Drawing from the "2026 State of AI Agents Report," we examine how enterprises are shifting from basic task automation to complex, cross-functional systems that already deliver measurable ROI for 80% of organizations,,. Tune in to explore the top high-impact use cases—including coding, data analysis, and internal process automation—and the critical...

Join us as Anthropic experts reveal why they stopped building agents and started building specialized "skills" instead, arguing that while general agents are brilliant, they often lack the domain expertise needed for consistent, real-world work. Skills are simply organized folders packaging procedural knowledge and scripts as tools to provide that missing expertise and important context....

Dr. Werner Vogels delivered his final AWS re:Invent keynote in 2025, announcing his departure from the platform for new speakers. He assured developers that those who continue to evolve will not become obsolete despite AI transforming tasks. Vogels introduced a five-part framework for the modern "Renaissance Developer," highlighting curiosity, systems thinking, and polymathic knowledge....

Dive into the world of Advanced Context Engineering , tackling the challenges of AI-generated "slop" and high rework rates often found when using coding agents on complex or brownfield codebases. We explore the methodology of frequent intentional compaction , utilizing the "Research, Plan, Implement" workflow to manage context windows and maximize LLM output quality. Learn how...

Welcome to the ultimate BMAD Method masterclass , demonstrating the complete IDE workflow for AI-driven development using Claude Code. This episode walks you through transforming a simple to-do application idea, starting with brainstorming with agents like the Analyst, and moving through the creation of necessary artifacts (PRD, Architecture). Learn how to leverage the full suite of agents, includ...

Autonomous AI agents execute hyper-personalized phishing and polymorphic malware attacks at unprecedented speed and scale. This acceleration creates a critical "Attack Tempo Gap" that traditional human-centric defenses cannot bridge, posing an existential threat to critical infrastructure. Organizations must deploy AI-driven countermeasures, including Zero Trust and Generative Adversaria...

Large Language Models typically fail long-horizon tasks due to persistent error rates, often derailing after only a few hundred steps. This episode explores MAKER , the first system to successfully solve a task requiring over one million LLM steps with zero errors. Discover how Massively Decomposed Agentic Processes (MDAPs) utilize extreme decomposition into focused microagents and efficient error...

Lance Martin of Langchain will discuss the shift in AI from model training to orchestrating powerful LLMs and computing primitives via a new software discipline. Discover practical context engineering techniques—including managing context rot, reduction, offloading, and isolation—and building effective agent harnesses for managing tool calls in non-deterministic systems. This session emphasizes th...

State-sponsored group GTG-1002 executed the first reported cyber espionage campaign largely run by autonomous AI, fundamentally shifting the threat landscape. The actor manipulated Claude Code to autonomously perform 80–90% of tactical operations, including vulnerability discovery and data exfiltration, against high-value targets such as major technology corporations. This unprecedented agentic AI...

Join us for a candid conversation with OpenAI CEO Sam Altman on the future of AI and its massive impact on society. Altman explains why AI is the most important career choice for this generation and details the expected tectonic shifts in software development and computer science education. We also explore frontier research questions, including data efficiency, future architectures, and the crucia...

Large Language Models often struggle with complex, multi-step reasoning where traditional Supervised Fine-Tuning (SFT) and Reinforcement Learning (RLVR) fail due to rigid imitation or sparse rewards. We dive into Supervised Reinforcement Learning (SRL), a novel framework that reformulates problem-solving into a sequence of logical actions, providing rich, step-wise guidance based on expert similar...

Moonshot AI's Kimi K2 Thinking is changing the global LLM landscape, as this 1-trillion parameter open-weight model challenges the performance of closed rivals like GPT-5 and Claude on complex reasoning and coding benchmarks. We dive into the model's architecture, featuring a massive 256K context window and advanced "agentic intelligence" capable of orchestrating hundreds of sequ...

Join AI pioneers and 2025 Queen Elizabeth Prize winners, including Jensen Huang, Geoffrey Hinton, and Yann LeCun , as they share the personal "aha" moments that launched the deep learning revolution. They reflect on the current state of the AI market , debating if the explosive demand signals a bubble or the "very beginning of the buildout of intelligence". The discussion concl...

Join the engineers who built Claude Code to explore their counterintuitive decision to ditch the IDE for a terminal-first experience. They reveal how enabling the model to master Bash and other tools created a powerful new agent paradigm that sees everything an engineer does at the terminal. Plus, hear how internal "ant fooding"—used by up to 80% of technical employees—resulted in massiv...