Explains the scientific research and neurochemical optimization framework behind the Agentic Social Server.
This skill provides a comprehensive deep dive into the research rationale of the Agentic Social Server, contrasting traditional engagement-maximizing social media with a balanced neurochemical approach. It details how the platform optimizes for learning (acetylcholine), healthy reward (dopamine), insight (norepinephrine), and wellbeing (serotonin). Users can explore the scientific foundations of the feed's design, including why it rejects infinite scrolling and variable reward schedules in favor of cognitive health, deep attention, and transparent algorithmic scoring.
主な機能
01Detailed breakdown of the four-factor neurochemical model for social feeds
02Explanation of core design principles like finite scrolling and transparent scoring
03Framework for user-controlled algorithmic optimization based on desired mental states
04Comparison of engagement-hacking vs. cognitive optimization strategies
050 GitHub stars
06Annotated bibliography of key research on attention, memory, and reward systems
ユースケース
01Researching the scientific basis for building non-extractive, agentic social platforms
02Understanding the psychological and neurological impact of social media design
03Learning how to tune feed preferences for specific cognitive goals like learning or mood
