AI Developer Accelerator — Coaching Call - May 26 VIEW RECORDING - 146 mins (No highlights) Meeting Purpose A coaching call for AI developers to share progress and get feedback. Key Takeaways - Prakrit's AI learning app prototype is stuck. The solution is to use ShipKit's "chat template" for sequential/parallel LLM calls, avoiding RAG and using smaller, faster models (e.g., Gemini 3.5 Flash) for cost and latency. - Scott's parking app generated $5k in its first weekend. This validates a replicable model for custom software: find a niche (e.g., parking, studio booking), build a solution, and scale it. - Patrick released "Community Brain," a searchable RAG system for call notes. He also replaced OpenClaw with Hermes, an agent framework that uses Codex for coding and offers superior API key management. - A new PDF processing workflow was shared: Convert PDFs to images, then use a multimodal LLM (e.g., Gemini) to convert images to structured Markdown. This preserves complex layouts (tables, flowcharts) that traditional OCR misses. Topics Prakrit's AI Learning App - Problem: Prakrit's prototype for a spelling app stalled after switching to spec-driven development, which proved inefficient for a solo dev without a solid tech foundation. - Solution: Use ShipKit's "chat template" for a sequential/parallel LLM workflow. Rationale: The app's core function is generating ~30 AI components from a single word input. Workflow: Decompose the word → use results to generate meaning, origin, etc. Model Selection: Use smaller, faster models (e.g., Gemini 3.5 Flash, GPT-4o Mini) for lower cost and latency. Output: Use structured outputs (e.g., JSON) for predictable data. - Next Steps: Restart the ShipKit prep phase, feeding the existing spec and mockups to the AI for a structured development plan.

📝 SUMMARY This week's call featured deep dives into agentic AI workflows, production-grade PDF extraction strategies, and real-world client monetization plays. Patrick unveiled his pre-release Community Brain distribution and detailed his migration from OpenClaw to Hermes, while Brandon shared his overnight "deep work" parallelization system using Codex. Scott broke down multiple shipping projects including a parking app that generated $5K in its first weekend and a video generation pipeline, while Morgan, Juan, Alex, and Bastian presented updates on lobby displays, AI photo booths, multi-tenant architecture decisions, and healthcare partnership negotiations. 💡 KEY INSIGHTS Spec-driven development only works after you have clarity on infrastructure, framework, and database choices. Without this foundation, it loops endlessly without forward progress. For high-frequency simple tasks like single-word lookups, use smaller models like Gemini Flash or GPT-4o Mini instead of frontier models. The latency and cost drop dramatically with no quality loss. When extracting content from complex PDFs, convert each page to an image and feed it to a cheap multimodal model like Gemini Flash with a markdown output prompt. This handles tables, flowcharts, and mixed content far better than text-only extractors like Dockling. Hermes offers significant advantages over OpenClaw including cleaner API key management, built-in identity isolation, a Kanban dashboard, recursive self-updating skills, and native Codex integration. AI engagements often serve as a foot in the door for larger consulting relationships. Clients present surface-level problems that reveal deeper systemic work once untangled. Focus on solving high-margin problems for businesses with significant revenue where ROI is obvious. When building multi-tenant applications, start a brand-new project with organizations as a first-class concept rather than retrofitting an existing single-tenant app to avoid breaking live customers.

👋 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. 🛠 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. 📜 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. 🥇 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. 👩‍💻👨‍💻 Let's code, innovate, and thrive together!