High Agency: The Podcast for AI Builders

Merrill Lutsky, co-founder and CEO of Graphite, discusses their evolution from stack diff workflows to Diamond, an AI code review agent that just helped secure their $50M Series B. He shares insights on building reliable AI review systems, why over-generating and pruning comments works better than single responses, and the shift from RAG to agentic code browsing. Merrill offers a provocative vision where developers define requirements and AI agents build the code, potentially eliminating traditional IDE coding. This episode provides valuable perspectives on how AI is fundamentally reshaping software development workflows and engineering roles.Chapters:00:00 - Introduction and Graphite overview01:58 - Evolution from stack diffs to AI review07:39 - Diamond: The AI code reviewer explained10:13 - Human vs AI review: Finding the balance11:44 - Engineering challenges of reliable AI review17:38 - Over-generate and prune: A winning strategy24:49 - From RAG to code browser agents28:12 - The bitter lesson of AI engineering30:48 - The future of software engineering37:33 - Is AI over or under-hyped?

This week Raza is joined by Amit Jain, CEO and co-founder of Luma AI, to explore why the future of artificial intelligence lies beyond language. Amit shares Luma’s bold mission to build world models through multimodal training and why video is the most overlooked and critical data source in AI today.Chapters:00:00 - Introduction03:40 - Competing with Big AI Labs: Language vs. Multimodality08:09 - Joint Training and Why Current Multimodal Models Fall Short11:01 - Language is Discrete, the World is Continuous14:36 - Do These Models Have World Models?18:18 - Planning, Counterfactuals, and Causal Reasoning in AI22:08 - Capabilities of Ray 2 and Real-World Use Cases26:14 - Rethinking Video Length and Creative Workflows29:18 - Solving Coherence Across Shots and Characters30:00 - When Will AI Create a Feature-Length Film?31:27 - What You Can Build with Luma’s API Today35:49 - Overlooked Ideas and Noise in the AI Industry38:34 - Why Video is the Missing Link in AI

Eric Simons discusses the meteoric rise of Bolt.new, an AI-powered web app builder that went from zero to $40 million ARR in just five months. He shares insights on how they built an AI agent capable of creating full-stack web applications from simple prompts, the challenges of rapid growth, and the future of AI in software development. From nearly shutting down the company to becoming one of the fastest-growing AI products in history, Eric offers valuable lessons for anyone building in the AI space.Chapters:00:00 - Introduction and Bolt.new overview06:05 - The journey from near-shutdown to rapid growth13:28 - Challenges of explosive growth and scaling18:50 - Technical deep dive: Building Bolt.new26:37 - Debugging and improving AI-generated code32:09 - Future directions and enterprise adoption34:11 - Advice for building AI applications37:03 - The concept of "vibe revenue" in AI startups39:39 - Is AI over or under-hyped?------------------------------------------------------------------------------------------------------------------------------------------------Humanloop is the LLM evals platform for enterprises. We give you the tools that top teams use to ship and scale AI with confidence. To find out more go to humanloop.com

In this episode of High Agency, Patrick Leung from Faro Health explains how they're using AI to revolutionize clinical trial design by both generating regulatory documents and extracting insights from thousands of existing trials. Patrick emphasises the essential collaboration between clinical experts and AI engineers when building reliable systems in healthcare's high-stakes environment. Chapters:00:00 - Introduction04:26 - Clinical trials before: Microsoft Word Documents08:17 - Document generation using AI12:26 - What makes clinical trials so expensive16:26 - Parsing and processing clinical trial data18:04 - Challenges with traditional evaluation metrics21:28 - Importance of domain experts in the evaluation process24:35 - Collaboration between domain experts and engineering31:26 - Building a graph-based knowledge system34:27 - Roles and skillsets required38:06 - Lessons learned building LLM products40:56 - Discussion on AI capabilities and limitations46:07 - Is AI overhyped or underhyped------------------------------------------------------------------------------------------------------------------------------------------------Humanloop is the LLM evals platform for enterprises. We give you the tools that top teams use to ship and scale AI with confidence. To find out more go to humanloop.com

In this episode, Raza is joined by Shahriar Tajbakhsh, the co-founder of Metaview. They discuss how Metaview’s AI scribe automates interview note-taking, how AI agents can surface top candidates from thousands of resumes, and why hiring managers should think of AI as a co-worker, not just a tool. Raza's recomended reading: Creating a LLM-as-a-Judge That Drives Business Results.Chapters:00:00 - Introduction03:32 - How AI Co-Workers Are Transforming Recruiting06:21 - Inside MetaView: AI Scribe and Workflow Automation09:11 - Unlocking Hiring Insights with AI-Driven Conversations11:30 - Balancing AI Innovation and User Adoption14:05 - Metaview’s Tech Stack and the Role of LLMs18:29 - How MetaView Generates Superhuman Interview Notes23:18 - The Challenges of Building Reliable AI Hiring Agents32:40 - The Future of AI in Hiring: Automating Job Descriptions40:26 - AI Co-Workers That Work While You Sleep47:08 - Why Vertical AI Will Win Over General AI Agents50:24 - The Underrated Power of Graph-Based AI------------------------------------------------------------------------------------------------------------------------------------------------Humanloop is the LLM evals platform for enterprises. We give you the tools that top teams use to ship and scale AI with confidence. To find out more go to humanloop.com