The arXiv preprint (v1, 26 May 2026) from Piana et al. deploys GPU-accelerated hydrodynamical simulations of group-scale atmospheres to couple resolved multiphase CCA inflows with an unresolved Kerr ISCO spin model. Methodology relies on three jet prescriptions—fixed-axis, direct torque, and hybrid ISCO-filtered—run across low- and high-turbulence initial conditions; no observational sample size applies, as this remains purely numerical. Key result: the cold-gas reservoir mass proves insensitive to spin coupling, yet inner accretion rate, jet efficiency, and feedback geometry vary sharply with the hybrid closure that prevents over-estimated spin wandering. This preprint is not peer-reviewed. Prior CCA literature (Gaspari et al. 2013, MNRAS) established the chaotic rain of cold clouds but omitted spin evolution; later analytic work (King & Pringle 2006) highlighted torque coherence without meso-scale resolution. The present runs reveal what earlier fixed-axis models missed: low-turbulence bridges preserve angular-momentum coherence, accelerating spin-up and jet reorientation, while high turbulence fragments inflows and cancels torques. A limitation is the sub-grid ISCO filter itself, whose free parameters could bias reorientation timescales. Galaxy-evolution codes that assume steady jets will therefore under-predict the stochastic heating patterns now shown to emerge naturally once turbulence-regulated CCA is folded into spin evolution.