Why does this framework reject infinite scroll?

Infinite scroll exploits completion bias and variable reward schedules; this framework uses finite, curated content to respect user attention and prevent behavioral addiction.

What specific neurochemicals does the framework address?

The framework balances Acetylcholine for learning/memory, Dopamine for motivation, Norepinephrine for breakthrough insights, and Serotonin for sustainable mood.

How does this skill help me with the Agentic Social Server?

It explains the scientific 'why' behind the feed's behavior, providing the context needed to adjust your preferences for learning, insight, or emotional balance.

What is neurochemical optimization in social media?

It is a design approach that prioritizes long-term cognitive health, memory retention, and genuine wellbeing over short-term engagement metrics and addictive dopamine spikes.

Neurochemical Feed Science

Name: Neurochemical Feed Science
Author: fredzannarbor

byfredzannarbor

Learning & Documentation

Explains the scientific research and neurochemical optimization framework behind the Agentic Social Server.

About

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.

Key Features

Detailed breakdown of the four-factor neurochemical model for social feeds
Explanation of core design principles like finite scrolling and transparent scoring
Framework for user-controlled algorithmic optimization based on desired mental states
Comparison of engagement-hacking vs. cognitive optimization strategies
0 GitHub stars
Annotated bibliography of key research on attention, memory, and reward systems

Use Cases

Researching the scientific basis for building non-extractive, agentic social platforms
Understanding the psychological and neurological impact of social media design
Learning how to tune feed preferences for specific cognitive goals like learning or mood

About

Key Features

Detailed breakdown of the four-factor neurochemical model for social feeds
Explanation of core design principles like finite scrolling and transparent scoring
Framework for user-controlled algorithmic optimization based on desired mental states
Comparison of engagement-hacking vs. cognitive optimization strategies
0 GitHub stars
Annotated bibliography of key research on attention, memory, and reward systems

Use Cases

Researching the scientific basis for building non-extractive, agentic social platforms
Understanding the psychological and neurological impact of social media design
Learning how to tune feed preferences for specific cognitive goals like learning or mood