The LEAD framework addresses the "no-recovery bottleneck" where small errors in long-horizon tasks become irreversible. Apple researchers found that extreme decomposition often triggers these fatal failures in algorithmic puzzles. By integrating short-horizon future validation, the method stabilizes execution. This provides a concrete path for improving reliability in complex, multi-step AI reasoning workflows.