Last week, Ty waited on hold so you don't have to — his CallSitter demo had the chat buzzing, and Patrick rebuilt Community Brain into a web app that can spit out next week's invite in 15 minutes (you're possibly reading its future output right now). If you missed it, there's plenty to catch up on — and plenty still in motion. 📞 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. Lots of threads still open from last week: Juan's photo-to-3D-video pipeline for AI Boot Studio and how to chain WaveSpeed's API calls, Patrick's deep dive into enterprise supplier liability (and whether Omni will ever be GA), and Ty's plan to verify those CallSitter wait-time numbers. Bring your questions — or bring new ones entirely. 🔗 ZOOM LINK (save this) https://us06web.zoom.us/j/81995207847?pwd=Xe6u6LmIQOmCP5VTnOwWYjDBfZNKGB.1 📅 WHEN Tuesday November 10th at 6PM ET Looking forward to seeing you on the call!

📝 SUMMARY This week's call was a small but packed session (Patrick Chouinard, Ty Wells and Juan Torres, with Shah Martinez joining later), with lower attendance due to a time change and the midterm. The group covered a lot of ground: tooling and agent setups (Ty's move to Duet as a "master agent controller", Patrick's continued use of T3 Code), Patrick's "AOE API meter" dashboard for tracking API spend, quotas and resets across providers, and Juan's WaveSpeed walkthrough with per-model tracking questions and a Minimax H3 360 Orbit LoRA demo, feeding his planned photo-to-3D-style-video pipeline for AI Boot Studio. Patrick shared his training-material automation and explained the enterprise constraints around resellers like WaveSpeed and fal.ai (hosting location, no data-retention rules, no responsibility insurance), plus his liability-driven rule that suppliers must pass full evaluation, currently pointing him to the hyperscalers, with tentative picks of an Azure OpenAI image model, Google's Gemini "Omni" for avatar video (not yet GA, so VEO3 for now) and 11Lab for voice. Ty demoed CallSitter, his hold-waiting callback app, and Patrick showed his rebuilt "Community Brain" meeting-recap app using LensDB, with Juan giving a job-search update and Biggi Fraley praising both demos in chat. 💡 KEY INSIGHTS Ty switched from T3 Code and CMUX to Duet as a "master agent controller". It worked for him because his infrastructure was already in place: he only had to expose two MCPs, one for incoming signals and one for actions that run other agents. He keeps a Claude remote-control session as a fallback. Ty moved to a "fleet" system built on GitHub Issues that manages multiple subscriptions, which let Duet fill his mobile gap. Patrick still likes T3, in particular its mobile remote features. Patrick's AOE API meter aggregates monthly spend, next payment, prepaid balance, next reset and alerts across providers, and projects when an allowance will run out. Examples: Tavily, expected to run out on Nov 30 with a Dec 1 reset; GitHub Actions minutes, projected by a simple estimate from real usage against an even-pace line.

AI Developer Accelerator — Coaching Call - November 03 VIEW RECORDING - 87 mins (No highlights) Meeting Purpose A casual sync on recent AI projects and development challenges. Key Takeaways - AOE API Meter: Patrick demoed a custom dashboard tracking API spend (Claude, GitHub, etc.) with predictive alerts for budget overages, enabling proactive cost management. - AI Training Pipeline: Patrick is building a pipeline to auto-generate training videos from changelogs, but corporate liability rules force a switch from flexible resellers (e.g., WaveSpeed) to hyperscalers (Google, Azure). - Callsitter App: Ty demoed Callsitter, a new app that waits on hold for users, inspired by a 3h 46m call. It charges $0.10/min (min. $2.49, max. $8.99) after a 15-minute wait. - Community Brain: Patrick rebuilt the meeting recap tool in-house, replacing N8N to gain full control over the multi-model pipeline and reduce processing time to ~15 minutes. Topics Corporate AI Adoption: Liability vs. Flexibility - Problem: Corporate AI adoption is blocked by liability concerns, forcing a trade-off between model flexibility and legal safety. - Patrick's Use Case: An automated pipeline for generating training videos. - Goal: Watch product changelogs → auto-update training materials. - Initial Stack: WaveSpeed, 11Labs, OpenRouter. - Blocker: Corporate policy prohibits resellers due to liability gaps (e.g., WaveSpeed's $100 liability cap).

Last week we watched a $6 AI avatar video, a six-day autonomous "Fable" run, and a Rust-based Adobe Fireworks clone — and somehow the biggest debate was whether one "monster" machine beats a cluster of smaller Proxmox nodes. (Patrick says: get a hybrid NAS and scale out.) If you missed it, you missed a lot — so let's make this week even better. 📞 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. Plenty of threads still open from last week: Brandon's digging into "Potato"-style smaller PR techniques and a possible second Claude subscription, Paul's sharing his Blacksmith CI results after jumping ship from GitHub Actions, and Scott's still weighing whether Stack Sentinel becomes a SaaS (liability questions pending). If any of that sparks a question — or you've got your own — drop it below and we'll dig in together. 🔗 ZOOM LINK (save this) https://us06web.zoom.us/j/81995207847?pwd=Xe6u6LmIQOmCP5VTnOwWYjDBfZNKGB.1 📅 WHEN Tuesday November 3rd at 6PM ET Looking forward to seeing you on the call!

📝 SUMMARY This was a long, wide-ranging call that opened with OpenAI Dev Day excitement (GPT-6.1 Sol, the "Dots" ambient agent, GPT Space, a Decision API, and a $500/month Cerebras tier) and closed hours later with casual banter. In between, Brandon Hancock demoed his agentic software-development workflow and shared a startup update, while other members — Daniel Zivkovic, Shakur Abdullah, Andrew Nanton, Tom Welsh, and Patrick Chouinard — showed parallel workflows and tools (Fable, Herder, T3 Code, CMUX) and business updates, including Tom's Asset MS product sold to farmers and Ty Wells' rapidly scaling ERP business. A major throughline was the OpenAI-vs-Anthropic competitive debate, with Patrick predicting Anthropic's response to Dev Day and the group debating whether Anthropic's enterprise-first posture will cost it long-term. Scott Rippey demoed CC Blackbox and Tight Code plus his AI video pipeline, drawing go-to-market advice from Brandon. The back half shifted into hands-on coaching: Patrick's home-lab "Agent Operated Environment," Brandon's cold-outreach and data-pipeline tactics, and heavy group coaching for Juan Torres on his AI photo booth business — pricing, seasonal launches, and sales targeting. Paul Miller added SaaS-founder perspective on VC dynamics and rapid prototyping, and Brandon closed with candid reflections on financial strain and gratitude for the group. 💡 KEY INSIGHTS Model releases and strategy OpenAI Dev Day shipped GPT-6.1 Sol (same price as 5.6 Sol, ~4x cheaper than Astra/Fable-class), "Dots" (a proactive ambient agent across chat platforms and phone, paired with a cheap/fast Decision API), GPT Space (a ChatGPT-native Microsoft 365 competitor), and a $500/month ultra-fast Cerebras tier at ~3,000 tokens/sec. All major labs are compressing frontier intelligence into cheaper/faster models rather than shipping new capability jumps. Sonnet is positioned as the workhorse for tool/computer use and autonomous agents, while Opus/Fable remain the "brain."