In this episode, we look at Harvey - the legal AI startup backed by over $500 million in funding and most recently valued at $3 billion. We cover its origins, underlying technology, go-to-market strategy, and compliance approach. We also discuss how AI is changing everyday legal workflows, and what lessons it can offer to other knowledge based industries.

In this episode, we’ll talk about Abridge—a healthcare startup building a generative AI platform for clinical conversations. Studies show that doctors spend, on average, more than two hours each day on administrative tasks. We’ll explore how Abridge got started, how it aims to solve this problem, and what its secret sauce might be. With a recent Series D funding round of $250 million, Abridge is now valued at $2.75 billion . If you've ever wondered how AI could actually reduce paperwork for doctors, this one's for you.

MCP (Model Context Protocol) and A2A (Agent2Agent Protocol) are getting plenty of attention lately. But what exactly are these protocols, and what problems are they trying to solve? In this episode, we'll decode what MCP and A2A have in common, explore the use cases that could benefit from them, and highlight what sets them apart.

Video production has traditionally involved many tedious tasks - things like motion capture, rotoscoping, and precise camera tracking. These jobs typically require significant time, specialized teams, and complex setups. But now, AI-powered tools like Wonder Studio, Runway Act-One, and Runway V3 Alpha are making these tasks simpler, faster, and more accessible. In this episode, we’ll look at how these tools are already reshaping video production, and discuss what the future might hold as AI becomes an everyday part of the filmmaker's toolkit.

In this episode, we'll explore the journey of character.ai. Founded in 2021 by ex-Googlers Noam Shazeer and Daniel de Freitas, character.ai quickly grew into a popular AI chatbot platform, attracting tens of millions of active users and raising hundreds of millions in funding. Then, in August 2024, it struck a strategic deal with Google - almost an acquisition. What exactly happened? Let’s find out.

AI agents are a hot topic right now. We've talked about different aspects of agents before - like the operator, browser use, and deep research. In this episode, we're looking at a new agent that's getting a lot of attention: the "Super Agent" from Genspark. Genspark claims they've reached $10 million ARR in just 9 days. By my calculation, that's about $250K in revenue for those 9 days - not exactly "annual" recurring revenue (yet), but still impressive. So, what's special about Super Agent? What can it actually do, and how does it compare with other AI agents out there? Let's get into it.

CoreWeave is a cloud computing company focused on GPU infrastructure tailored for AI workloads, and it just went public recently. In this episode, we'll cover CoreWeave's history, discuss its competitive strengths and potential weaknesses, and compare it to traditional cloud providers. Can it stay ahead of the competition? Let's find out.

A hot new open-source project, browser-use (https://github.com/browser-use/browser-use), has just raised $17 million in seed funding. We've previously explored how LLMs interact with browsers, such as with OpenAI's Operator and Anthropic's Computer use. In today's episode, we'll take a closer look at browser-use, diving deep into how this tool can enable these capabilities, highlighting its strengths, exploring its limitations, and uncovering the exciting opportunities ahead.

High-quality labeled data is crucial for training successful AI models, but collecting it at scale has always been a major challenge. In this episode, we’ll decode the story of Scale AI, one of the standout companies helping businesses annotate their data. We’ll explore its origins, how it scaled to work with hundreds of thousands of human labelers, and the challenges it continues to face.

In this episode, we dive into Deep Research, an agentic AI system that harnesses LLMs to automatically search the web, gather relevant information, and synthesize comprehensive research reports. We'll explore how these systems work behind the scenes, key vendors in this space, and discuss practical applications and use cases.