I needed to solve a real problem: orchestrating six different AI agents across my real estate and engineering businesses without relying on expensive SaaS platforms. Each business in my Load Bearing Empire requires different agent behaviors. My property management service needs agents that handle tenant inquiries and maintenance scheduling. My structural engineering consultancy needs agents that process RFIs and coordinate with project teams. My lead generation service needs agents that qualify prospects and book appointments. CrewAI looked appealing at first. The framework promises simple multi-agent workflows with minimal setup. But when I dug deeper, I found limitations that would hurt my infrastructure-first approach. The control problem CrewAI abstracts away too much of the orchestration logic. You define agents and tasks, but the framework decides how they interact.…