Im not precious about positions on leader boards when I am beaten buy others in the community posting useful or enquiring posts that get sutible likes from the rest of teh community. What i really deespise anbout Skool is how I can be completly removed from 7 day leaderboard, every entry is a bot. I am now mid table on the 30 day leader board, the other 9 around me are all bots. At least the all time board has not been hit and we still have active users on there. When, oh when, will Skool fix this cruft!! Rant over

📝 SUMMARY This week's call covered a wide range of practical topics for builders and consultants. Highlights included a deep discussion on Microsoft Copilot Studio versus Azure Foundry for enterprise agent deployment, the shift in software development toward AI-directed workflows, and strategies for identifying the right AI use case with clients. Members shared real project updates across government tender scraping, event management, cemetery software, and ERP systems. The call also celebrated Elijah and his son winning the Ohio Presidential AI Challenge, and Patrick teased an upcoming open-source community intelligence project. 💡 KEY INSIGHTS Copilot Studio is fine for a version-one proof of concept but is not a long-term investment. Azure Foundry offers more model options, more connectors, and a more viable path for serious enterprise agent development. Plan to start in Copilot Studio and migrate. Anthropic and Microsoft are deepening their partnership. Claude is now integrated into Copilot desktop, Excel, PowerPoint, Word, and CoWork. Anthropic's managed agent framework entering the Microsoft ecosystem could significantly change what enterprise agents can do. Google Enterprise is not what you expect. Gemini Pro and Notebook LM are excellent in the consumer tier, but enterprise versions are heavily restricted. Notebook LM Enterprise cannot natively create Google Docs and outputs Markdown via a workaround script instead. The Microsoft M365 connector is now a full integration, covering email, calendar, Teams, and SharePoint in a single connector — a meaningful upgrade for enterprise context retrieval. Tiered model architecture is the cost-effective pattern. Not every task needs peak intelligence. Using cheaper models like Codex for routine work alongside more capable models for complex reasoning is the emerging standard. Local LLMs are worth preparing for now. Running models locally via tools like Proxmox reduces cost and cloud dependency for high-volume or sensitive workloads.