Summary
Riley Brown shares the system he built over two months to protect his focus while working with AI tools. He argues that attention is under attack from seven problems, split between social media and AI agents, and walks through his fixes for each.
The first section tackles notifications. Rather than relying on app makers whose incentives favor their own business models, he uses iPhone notification exceptions together with agent platforms such as GPT dots, Claw Duet and Grockbot. Connected to Slack, email and other apps, the agent checks in every 30 minutes and only alerts him to items that need action within eight hours, saving the rest for an end-of-day summary. He calls this his “importance line.”
He also describes using Claude Code to move reading off screens. Claude Code connects to his YouTube channel and analytics, researches for roughly two hours, and produces a 12-page report with retention charts for every video. He prints these reports, along with transcripts of top short-form creators, and reads them away from his phone. He estimates a printed report costs around 50 cents and a 200-page book about $6, and he laminates one-page concept graphics generated by Claude Code for learning.
The video then turns to AI-specific problems, beginning with the distraction of agent multitasking. It suits creators, founders and knowledge workers who use AI agents daily and want practical habits for staying in flow.
📺 Source: Riley Brown · Published November 03, 2026
🏷️ Format: Workflow Case Study
