Jason Hand and Ryan MacLean chat and demonstrate practical uses of Claude and Lovable in coming up with and building on ideas very quickly .. daily .. almost as a personal challenge.

Whitney Lee shares her journey of building an MCP (Model Context Protocol) server designed to automate engineering journal entries. Learn how she evolved from experimenting with basic Cursor capabilities to developing a robust tool that captures Git commits, AI chat history, and terminal commands to enhance developer documentation and reflection.

In this episode, Jason Hand and Ryan MacLean explore the capabilities of Gemini 2.5 Pro, demonstrating its impressive features through hands-on examples including creating interactive mathematical visualizations and discussing its enhanced context handling capabilities.

In this session, Jason Hand and Scott Mabe delve into the intriguing world of eBPF (Extended Berkeley Packet Filter) and its integration with AI tools for learning and application development. The discussion begins with Scott explaining his approach to learning new technologies through experimentation, using eBPF as a case in point.

In this video, Jason Hand and Scott Gerring dive into the benefits and innovations surrounding coding tools like Tmux, Helix, and particularly Claude Code. Scott shares his journey of embracing new technologies that allow programmers to guide AI in developing complex projects such as ray tracing without manually altering the code. He explains how these tools can integrate seamlessly into a programmer's existing setup by utilizing terminal multiplexers like Tmux to enhance productivity.

In this video, Jason Hand discusses his innovative use of automation tools, specifically N8N, to enhance productivity in AI content transformation. He details the process of creating workflows that automate various tasks related to AI Tools Lab projects he works on. Initially, he describes a workflow designed to generate a set of artifacts from a video and its transcript. This involves creating episode images, moving files, and utilizing agents for content manipulation. However, Jason shifts the focus to additional utility from the content by sending follow-up questions to interview guests, capturing their answers in Airtable, and using this data to produce more content.

The video discusses the challenges of keeping up with numerous 'State Of' or report PDFs, focusing on a specific AI report by Figma concerning the state of AI in 2025. Ryan MacLean explains how these reports, while informative, can be overwhelming due to their volume and the effort required to distill critical conclusions. Using the Claude Desktop app on Mac OS, Ryan demonstrates uploading and summarizing this AI report to draw meaningful insights efficiently.

In this episode, Ryan MacLean shares his weekend experiment with 'YOLO Mode' (You Only Live Once) in AI-assisted coding, where he migrated the ai-tools-lab.com website from static HTML to Astro. Ryan discusses his approach of using multiple AI models with Model Context Protocol (MCP) tools, particularly highlighting how he combined Gemini 2.5 Pro's multimodal capabilities with Claude Sonnet 3.7's web search functionality to tackle different aspects of the project.

Jason and Ryan analyze the State of AI 2025 report, examining AI tool popularity, user pain points, and how tools like Google's Notebook LM help synthesize information from multiple sources.