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RecapFlow : September 29nd Coaching call analysis
πŸ“ 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 β€” Daniel Zivkovic, Shakur Abdullah, Andrew Nanton, Tom Welsh, and Patrick Chouinard β€” 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 β€” 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. πŸ’‘ 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."
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AI Developer Accelerator β€” Coaching Call - September 29th
AI Developer Accelerator β€” Coaching Call - September 29 VIEW RECORDING - 198 mins (No highlights) Meeting Purpose To share project updates, discuss AI developments, and strategize on business growth. Key Takeaways - OpenAI's Dev Day was a major strategic move. Key announcements included GPT-6.1 Sol (Astra-level performance at a fraction of the cost), DOTS (a proactive ambient agent), and GPT Space (a Microsoft 365 competitor). - AI-driven development is reaching new levels of autonomy. Brandon's "Deep Plan" system automates the entire SDLC, while Scott’s CC Blackbox uses multiple AI engines for adversarial code review on every Git push. - Rapid customer acquisition is now a reality. Ty Wells onboarded 6 ERP clients in two weeks, and Tom Welsh sold his Asset MS to two farms for Β£5,000 each, demonstrating the power of AI-enabled business models. - Business strategy for new products must prioritize market feedback over perfection. For Juan's AI photobooth, the advice was to lower the price to secure 10–20 paying clients for social proof, then scale pricing based on demand. Topics AI Market & Dev Day Analysis - OpenAI's Dev Day announcements are a direct challenge to Anthropic's recent Opus 5.5 release. - Key OpenAI Announcements: - GPT-6.1 Sol: Astra-level performance at a fraction of the cost, making it the new default for most advanced tasks. - DOTS: A proactive ambient agent for Slack, phone, and other clients, with unlimited usage. - Decision API: A new tool for enabling proactive agent behavior by detecting state changes. - GPT Space: A direct competitor to Microsoft 365, offering AI-driven word processing, spreadsheets, and presentations. - New Subscription Tiers: A $500/month plan offers "ultra-fast" mode (3,000 tokens/sec) on Cerberus GPUs. - Subscription Sharing: Users can now share their subscription with vendors, simplifying billing and legal compliance for AI-powered apps.
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πŸš€ Welcome to AI Developer Accelerator (Start Here)
πŸ‘‹ Hey there! Ready to supercharge your dev skills with AI? You're in the right place. Watch the intro video below for a walkthrough of our community and a peek at our AI-enhanced future. πŸ›  CLASSROOMS: - Full Stack Development with AI: Where code meets cognition. Sharpen your skills and build AI-- powered apps. - CrewAI: Your squad for all things AI. Share ideas, collaborate on projects, and celebrate successes together. - Code Bugs & Project Issues: Debug like a pro. Get help on tricky bugs and offer your wisdom to others. - Monetize Your AI Dev Skills: From AI code to income: Collaborate, innovate, and monetize your dev skills! - YouTube Tutorial Requests: Please let me know what you want to learn more about when it comes to Fullstack Developement and AI. πŸ“œ RULES: - Promotions are a no-no. Let's keep the focus on learning and growing. - We appreciate quality contributions. Enhance your posts with visuals and use ChatGPT for refining your content. - No talking about politics or religion. Go to X if you want to talk about that. - See something off? Help us maintain the community spirit by reporting any issues to me. πŸ₯‡ FIRST STEP: Introduce yourself with a post about your AI journey and what you're working on in the General Discussion group. **Bonus points for sharing a screenshot of your current app!** 🎯 ACTIONS: Be proactive, engage in discussions, and collaborate on group projects. πŸ‘©β€πŸ’»πŸ‘¨β€πŸ’» Let's code, innovate, and thrive together!
Tight Code: AI code review before your code leaves your Mac
I talked about the soft launch of Tight Code during Brandon Hancock’s developer call last night. Tight Code reviews your code every time you run git push. It works directly with Claude Code, so there’s no new editor or workflow to learn. Here’s what happens:​ 1. You push your code normally. 2. Tight Code scans the changes for secrets and redacts anything sensitive. 3. Multiple AI reviewers check security, code quality, performance, documentation, and release readiness. 4. One verdict and a clear list of findings appear in the dashboard. 5. Claude Code helps you work through each findingβ€”but you approve every decision. It can run quietly in the background or stop a push when it finds something critical. If an AI provider is unavailable, it fails open so your work isn’t trapped. What makes it different:​ - It reviews at push time, not only when you open a pull request. - It uses Anthropic and OpenAI models for independent perspectives. - Secrets are removed before any AI model sees the code. - Your source code is never stored in the dashboard. - It remembers why you dismissed something as a false positive, so the same bad recommendation doesn’t keep returning. - It works with the Claude Code and Codex subscriptions you already have. So far, Tight Code has run 1,176 real reviews across 19 repositories, raised 2,157 findings, and caught 96 critical issues. About 92% of its findings were fixed, while only 8% were judged to be noise. The stack, for anyone interested:​ - A local Homebrew-installed Git hook and CLI - Claude Code with optional OpenAI Codex reviewers - A Next.js and TypeScript dashboard hosted on Vercel - Supabase for review history and reporting - Stripe for subscriptions - No source code or unredacted secrets stored in the cloud See the video, sign up, and install it:​ https://tightcode.dev Tight Code is normally $39/month. Brandon’s community can use code BRANDON20 to take $20 off each of the first three months, making it $19/month for those three months.
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Tight Code: AI code review before your code leaves your Mac
AI Developer Accelerator β€” Coaching Call - September 29th
🦸🏻THIS IS A BRANDON WEEK, Come say hi!!!🦸🏻 Two fresh model drops, a token-budget experiment that built a whole site in ~3,000 tokens, and Patrick's Codex plan somehow dead by noon β€” last week was a lot. If you missed it, the "tokens per task completed" metric alone is worth the catch-up. πŸ“ž 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: πŸ‘‰ Reply to this post with your questions before the call πŸ‘‰ If you submit a question and you're on the call, you go first πŸ‘‰ We work through questions in the order they came in πŸ‘‰ 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: Ty's head-to-head test of T3 Code vs. his CMUX setup, Daniel's weekend experiment with Honcho.ai, and Patrick's deep dive into JEV as a decision-making router. If you've been trying any of these yourself β€” or want to know how they turned out β€” bring your questions. πŸ”— ZOOM LINK (save this) https://us06web.zoom.us/j/81995207847?pwd=Xe6u6LmIQOmCP5VTnOwWYjDBfZNKGB.1 πŸ“… WHEN Tuesday September 29th at 6PM ET Looking forward to seeing you on the call!
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AI Developer Accelerator
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Master AI & software development to build apps and unlock new income streams. Transform ideas into profits. πŸ’‘βž•πŸ€–βž•πŸ‘¨β€πŸ’»πŸŸ°πŸ’°
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