The Study Gremlin Cognitive Workflow: A Dual-Channel Architecture for Real-Time Distraction Processing in ADHD-Like Cognition

Learners with ADHD-like attentional profiles often experience unstable engagement driven by novelty seeking, rapid attentional switching, and intrusive curiosity spikes. Existing productivity frameworks largely rely on monotasking, suppression of distraction, or rigid environmental control, which frequently evoke reactance and disengagement. This paper introduces the Study Gremlin Cognitive Workflow (SGCW), a dual-channel architecture designed to process distraction events in real time by routing them to an external agent with minimal delay. The workflow leverages cognitive offloading, micro-reward alignment, executive-function scaffolding, and redirection timing informed by reinforcement-learning principles. We provide an expanded theoretical grounding, formal workflow specification, probabilistic modeling of attention states using Markov processes, and a system-level architecture enabling implementation. A preliminary N=1 feasibility observation and a small simulation-based study suggest substantial gains in effective time-on-task and question-solving throughput. The paper concludes with limitations, ethical considerations, and a structured research agenda.