Show Notes
Join Grant Harvey and Corey Noles live on Thursday, July 23, for a show-and-tell featuring the apps, games, extensions, and delightfully specific tools they’ve built with AI, plus tips to help you build your own without burning through as many tokens.
Corey will demo: ☕ Bean Counter, which tracks how many cups of coffee he has saved 🗂️ Tab Crusher, a Chrome extension for conquering tab overload ✍️ Threadline, his editorial operating system for writers 🎮 Circle Back, a gamified task-management app 🍽️ On Deck, which answers Corey’s eternal question: What should I eat next?
Getting AI to choose his next meal is Corey’s personal AGI benchmark. Pizza arriving through a voice command remains the final boss.
Grant will show: 🌊 FlowState, a focused writing app 🎛️ Orchestrator, a local command center for managing AI chats through APIs 🎬 LTX CineScript, a system that turns a script into an edited film 🐿️ Sqwirl World, a RuneScape-style mini MMO starring squirrels 🧪 Plus other experiments, prototypes, and tools built to solve very specific problems
They’ll explain what each project does, how it was made, how they got it live through trial and error, and what they’ve learned over the past year and a half as non-technical builders creating software with AI.
Building your own apps is one of the best ways to learn what AI can actually do. Your idea may not become the next breakout product, but it can save you time, solve a persistent headache, and be a lot of fun to create.
Whether you want to build an internal tool, automate an annoying task, or finally create the weird app living in your head, this session will show you what is possible.
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Neurosurgeon-scientists Alex Ksendzovsky and Jon Pomeraniec explain how The Biological Computing Company uses living neurons as a research platform for AI. Their team grows roughly 150,000 cells on a 4,096-electrode array, sends in patterns such as handwritten digits, records how the neurons respond, and models useful computational behaviors in software. They say those neuron-inspired techniques are already helping GPU-based video-generation systems run about 5x faster with roughly 80% lower inference cost, while their longer-term work explores robots, world models, and real-time biological compute.
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Corey and Grant sit down with Mammoth Biosciences co-founder and CEO Dr. Trevor Martin to explain how CRISPR is moving from a laboratory tool toward one-time medicines.