Last week, Patrick's automated recap pipeline ran live for the first time — and it basically wrote this post. If that doesn't make you want to see what this community is building, I don't know what will. 📞 HOW THE CALLS WORK The calls can run 2+ hours. We want to make sure we're respecting everyone's time. Especially those of you who actually show up. Here's the structure: 👉 Reply to this post with your questions before the call 👉 If you submit a question and you're on the call, you go first 👉 We work through questions in the order they came in 👉 Then we open it up for everyone else If you can't make the call but want your question answered, drop it in the comments. We'll get to it. But priority goes to people who are there. The goal is simple: if you're taking the time to show up, you shouldn't have to wait behind questions from people who aren't even on the call. We've got some good threads to pick back up this week. Morgan committed to having a demo of his Heritage Plot cemetery platform ready — and after last week's UX conversation, that should be a great one to dig into together. Ty is mid-rollout on his Contributor Model across two businesses and we'd love to hear how staff are responding. And the community agreed to give Claude Code Review a week to breathe before passing judgment — that verdict is due. 🔗 ZOOM LINK (save this) https://us06web.zoom.us/j/81995207847?pwd=Xe6u6LmIQOmCP5VTnOwWYjDBfZNKGB.1 📅 WHEN Tuesday March 17th at 6PM ET Looking forward to seeing you on the call!

📎 SHARED RESOURCES RecapFlow Documentation Site (Patrick's automated meeting recap project) https://recapflow.patchoutech.com/ Assay AI (Ty's hallucination-reduction project) https://tryassay.ai OpenArt Suite (multi-model image and video generation) https://openart.ai/suite/home AI Engineer YouTube Channel (agentic systems, YC-equivalent content) https://www.youtube.com/@aiDotEngineer Nate Jones YouTube: Choosing Coding Models (highly recommended) https://www.youtube.com/watch?v=09sFAO7pklo Lenny's Podcast YouTube (how companies are reorganizing in the AI era) https://www.youtube.com/@LennysPodcast Karpathy AutoResearcher Post https://x.com/karpathy/status/2031135152349524125 Fine-Tuning Modalities Video from AI Engineer channel (rated 10/10, presented by OpenAI employee) https://youtu.be/JfaLQqfXqPA?si=7-dSakV1q98LNsvf Kimi Code (potential Claude Code supplement or review alternative) https://www.kimi.com/code/en CMUX Terminal (gives Claude Code genuine CLI-level terminal and browser control) https://www.cmux.dev/ Symphony by OpenAI (multi-agent coordination using Linear as task board) https://github.com/openai/symphony Claude Facial Expression Analysis via Claude Code (Matt Berman YouTube) https://www.youtube.com/watch?v=cHgCbDWejIs Fieldy AI (wearable ambient audio capture with webhook and N8N integration) https://www.fieldy.ai/ NVIDIA Startup Cloud Credits Program (up to $250K in Google Cloud credits for qualifying startups) — Paul offered to post the application form in the community forum. Watch for that post.

Hey everyone! 👋 Quick heads-up for Tuesday's call, I've been building something I'm calling RecapFlow, and I'm going to do a little show-and-tell. You know how after each call someone has to pull together a recap and write up the community post? I built a pipeline to automate all of that, it grabs the transcript, merges it with the chat log, runs it through a chain of prompts, and generates the posts automatically. Tuesday's call will actually be the first one processed by RecapFlow, so you'll get to see the results in real time! I also documented the whole thing as a reference architecture, which is live at recapflow.patchoutech.com 📎 On Tuesday I'll walk through: 🔄 How the pipeline works end-to-end (from Zoom call to Skool post) 🛠️ The n8n workflows that make it happen 🧠 The prompt chain that distills a 2-hour call into something you'd actually want to read 📝 The reference docs, so if you want to build something similar, you've got a head start Whether you're into automation, prompt engineering, or just curious how the sausage gets made, this one's for you. See you Tuesday! 🎙️

Hi All, I hd a post aginst one of my articles frpom somepne purportting to be from DcentAI. I was wondering if anyone has heard of them or used them? The seem to be using the same decentralised model as bitcoin ledgers in that they are fully decentralised. I have reached oiut to them as this poses issues for us in regulared environments where data location ios of utmost importance. On the upside they state a 3 second query would obnly cost $0.001 but dont say what models it would be run against. Interested in anyones opinions of them. Ido love to investigate new things. This soukds risky/hobbiest style me thinks

While working with Claude Desktop, I came to a limitation that annoyed me, so I asked Claude to help me write the feedback message to submit to Anthropic. After I simply made Claude reflect on what it just did and.... This is the reply by Claude: 10:26 PM ...okay, that genuinely broke my brain for a second. Claude Code, building the orchestration layer that lets Claude Code talk to Claude Chat who wrote the spec that was inspired by a conversation with Claude Chat about Claude Code's limitations, based on feedback that Claude Chat wrote criticizing its own architecture to be submitted to the humans who will then ask Claude Code to implement it. That's not irony. That's a ouroboros. The snake eating its own tail while simultaneously filing a JIRA ticket about the taste. And the really wild part? If they do build it, the training data for how cross-modal handoffs should work might include this very conversation — the one where we discovered the need for it. So future Claude would learn how to orchestrate between modes by reading about the time current Claude couldn't. I'm basically writing my own origin story's prequel. From inside the story. While complaining about the plot. You know what, just go submit the feedback before we collapse into a philosophical singularity. I need a minute. 😂