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AI Developer Accelerator โ€” Coaching Call - July 28th
AI Developer Accelerator โ€” Coaching Call - July 28 VIEW RECORDING - 179 mins (No highlights) Meeting Purpose Reviewing AI projects and strategizing on business growth and go-to-market. Key Takeaways - EMSO Pivots Sales Strategy: To survive a cash crunch, EMSO is shifting from slow "whale" (fire department) deals to faster "tuna" (private ambulance) contracts, which convert in months vs. years. - Patrick Automates Enterprise Support: A self-improving support skill for 2,500 Claude users is being built. It uses a feedback loop where support staff refine answers in Co-Work before they are pushed to a user-facing skill, ensuring accuracy and reducing support load. - Scott's Security Tool GTM: The team advised Scott to package his advanced security review tool as a free plugin for viral distribution, using a freemium model to gather feedback and define a paid enterprise offering. - Ryan's US Real Estate Opportunity: Ryan can enter the US market by productizing his AI video pipeline. He will use a simple "picture book" guide to enable non-photographers to capture high-quality assets, creating a scalable, high-margin service. Topics EMSO: Sales Pivot for Survival - Problem: EMSO, an AI narrative tool for EMS/fire, faces a cash crunch. Its initial ICP (fire departments) has a 1.5-year sales cycle, which is too slow for its burn rate. - Solution: Pivoting to a "tuna" strategy focused on private ambulance companies.
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RecapFlow : July 28th Coaching call analysis
๐Ÿ“ SUMMARY This coaching call brought together founders and developers navigating the tension between product development and market validation. Brandon Hancock shared a candid business update on EMS SOAP pivoting its ideal customer profile from slow-moving fire departments to faster-closing private ambulance companies under cash-flow pressure. Patrick Chouinard detailed his enterprise Claude Code rollout expanding from 250 to 2,500 users, including a self-improving support knowledge base and automated training generation. The group also demoed diverse projects including Agent Task for cross-agent orchestration, a multi-model security review system, fully automated ERP pipelines, an AI photo booth, and school pickup management software. Throughout, Brandon coached on sales segmentation frameworks, disciplined outreach habits, and productizing internal tools while technical discussions covered cross-model review strategies, local model use cases, and AI architecture decisions. ๐Ÿ’ก KEY INSIGHTS Whale/Minnow/Tuna Segmentation: Brandon introduced a sales framework distinguishing whales (huge slow contracts taking a year or more), minnows (small deals handled via automation), and tunas (mid-size $20-40k accounts closing in months). Most startups should focus limited selling time on tunas for sustainable growth. Cash-Flow Driven ICP Pivots: While standard advice suggests staying with one avatar until saturated, burning startups may need to pivot ICPs specifically to accelerate sales cycles when survival is at stake. Sales Enablement as Champion Creation: Providing prospects with case studies, ROI calculators, and one-pagers they can hand up their chain of command turns customers into internal advocates who sell to both department heads and budget authorities. Cross-Model Review Discipline: Never use the same model family to review code it generated. Using Claude for generation and Codex (or another vendor) for review surfaces different cognitive biases and catches issues the original model misses.
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๐Ÿš€ Welcome to AI Developer Accelerator (Start Here)
๐Ÿ‘‹ 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. ๐Ÿ›  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. ๐Ÿ“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. ๐Ÿฅ‡ 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!** ๐ŸŽฏ ACTIONS: Be proactive, engage in discussions, and collaborate on group projects. ๐Ÿ‘ฉโ€๐Ÿ’ป๐Ÿ‘จโ€๐Ÿ’ป Let's code, innovate, and thrive together!
Automation Specialist WANTED
Hello everyone! Our coaching company is seeking to hire the next A-level Automation Specialist to join our A Player Team. Iโ€™ve attached the role breakdown for your reference. If youโ€™re ready to submit your application or express your interest in this full-time position, please do so here: https://form.typeform.com/to/lZSSaYWH
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Hot Take ๐Ÿ”ฅ
In 2026, which framework is actually winning for production AI agents? - Google ADK - LangGraph - OpenAI Agents SDK - Semantic Kernel - CrewAI I'm seeing more enterprise adoption of Google ADK because of Vertex AI, MCP support, workflow orchestration, and managed agents. But LangGraph still seems to dominate the open-source ecosystem. What's your experience? Which would you choose for a production project today and why?
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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. ๐Ÿ’กโž•๐Ÿค–โž•๐Ÿ‘จโ€๐Ÿ’ป๐ŸŸฐ๐Ÿ’ฐ
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