{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"NC Tweener Talks","title":"[Redacted] an NC Tweener Times Podcast: What Happens When You Rebuild a Business With AI","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/b87359ee\"></iframe>","width":"100%","height":180,"duration":2847,"description":"Today, we’re launching something new under the NC Tweener Talks network. It’s called [Redacted]. Most AI content today is polished with clean demos, perfect workflows, and everything looks like it worked on the first try. But if you’ve actually built anything with AI, you know that’s not how it works. It’s messy. It breaks. It’s iterative - you build, then rebuild and then when you get it working, that’s what other ‘how I AI’ shows work. They never show you how the AI sausage is made. This show changes that. We’re going to show you the messy middle and in fact, as we’re doing this recording some of the first episodes, we found out that frequently some super-personal information of business secrets will be slung around as we record that needs to be….you guessed it…. REDACTED. Instead of deleting that part totally, we’re keeping it (redacted where appropriate) and showing you the steps in between that everyone else skips.The first episode sets the tone immediately and they jump straight into the work. Here’s what they get into:Rebuilding a core business workflow with AI: A complex event operations system that used to require a team gets rebuilt in about a weekA new way to build software: Moving from specs and tickets → to meetings, voice notes, and AI turning ideas directly into working codeTurning conversations into production-ready tools: How a single meeting becomes product requirements, then live features, in daysLetting AI handle the structure: Simplifying forms and workflows by allowing messy input and letting LLMs interpret it“Vibe coding” and how to actually make it work: Moving fast with AI while still building systems you can trustAI as infrastructure, not just a tool: Embedding AI into operations, not just using it for one-off tasksAutomating internal processes (like SOPs and reporting): Turning repeatable workflows into systems that run themselvesThe shift from teams → systems: How a ~$1M ARR business operates with a fraction of the headcount by...","thumbnail_url":"https://img.transistorcdn.com/UEzoK7N1siD9YRaSVBWfZ8B3suSS2aonEIZ5NwBH1Gs/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80NjBh/YWVhZTA4ZTUyY2Fl/MDdhNzQwZWFhNDI4/MDc3Zi5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}