This paper presents RAPID, a Robotic Agentic Platform for Intelligent Disassembly designed to address the challenge of scalable EV battery recycling. The system features a gantry-mounted industrial manipulator with RGB-D perception capabilities and an automated nut-running tool for fastener removal on full-scale EV battery packs. An open-vocabulary object detection pipeline achieves 0.9757 mAP50 for reliable identification of screws, nuts, busbars, and components. The research experimentally evaluates three one-shot fastener removal strategies: taught-in poses (97% success, 24 min), one-shot vision execution (57%, 29 min), and visual servoing (83%, 36 min), providing a comprehensive comparison of success rates and disassembly times for battery top cover fasteners.