I tested Sonnet 5 in my REAL WORK folder. I was shocked...

Key Takeaways

• Using a large, interconnected personal folder with over 140,000 files provides a realistic environment for testing AI model performance on complex, real-world tasks.
• For professional use, Claude Code is recommended over Claude Co-Pilot due to its ability to spin off sub-agents and execute complex workflows, offering better value for the same price.
• Structuring your folder with specific agent instructions, managed by an orchestrator agent, allows for efficient delegation of tasks to specialized AI agents.
• Sonnet 5 is significantly faster than Opus for simpler tasks, but Opus provides more comprehensive results, especially when dealing with complex data analysis and report generation.
• It's crucial to assign the right AI model to the task; using high-end models like Opus for simple tasks wastes resources, while simpler models like Sonnet can be efficient for specific functions.
• AI agents can be configured to use different models, allowing for cost optimization by assigning less token-intensive models to agents that don't require advanced capabilities.
• The orchestrator agent (Larry) demonstrated a better understanding of its role and the folder structure compared to Sonnet 5 in a complex summarization task.
• AI models can effectively utilize specific guidelines and SOPs within a structured folder to perform tasks like creating infographics or generating reports, mimicking human workflows.