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We're back with Day 2 of putting AI models to the ultimate test — this time tackling one of construction management's most challenging problems: Multi-Project Resource Allocation. In today's video, I throw a brutal 20-mark exam question at multiple AI models, asking them to solve a Multi-Mode Resource-Constrained Multi-Project Scheduling Problem (MMRCMPSP) involving three simultaneous construction projects (Office Building, Residential Complex & Industrial Facility) competing for a shared pool of Project Managers, Structural Engineers, Cranes, Excavators, and Skilled Laborers. What the models had to do: ✅ Formulate the full mathematical optimization model ✅ Solve the problem using Linear Programming ✅ Compare Parallel vs Serial Scheduling Schemes ✅ Perform Resource Leveling & Smoothing analysis The verdict? All models showed impressive capability — but Claude Sonnet clearly pulled ahead, delivering the most rigorous formulation, accurate LP solution, and cleanest analysis with visual Gantt charts and resource histograms. 🔔 Subscribe so you don't miss Day 3 — these problems only get harder! 👍 Like if you want to see more AI vs. Construction challenges 💬 Comment below: Which AI model do YOU use for project management?