Entry Point Framework

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Alignment Theory is a framework for understanding how support can preserve capacity, or slowly become substitution.

Begin here if you want the current public reading path without walking through the older archive first.

The Problem

Many systems look stable because an outside structure is carrying work for them. A tool, community, institution, method, or AI assistant can reduce load in a real way.

The problem begins when that support replaces the capacity it was meant to protect. The person or system may still perform, but participation becomes thinner.

Current Central Formulation

The current formulation turns on a distinction between support and substitution.

Support helps a person or system carry reality with more usable capacity. Substitution carries the reality in their place, often while preserving the appearance of competence.

Alignment Theory studies this boundary across human formation, institutional life, religious and moral systems, and AI governance.

Participatory Capacity

Participatory capacity is the ability to remain meaningfully involved in perception, judgment, choice, responsibility, correction, and learning.

A system preserves participatory capacity when it helps without taking over the capacity-forming functions that make agency possible.

This is why the framework pays close attention to dependency, over-automation, authority transfer, and the point where help begins to hollow out competence.

Internal And External Alignment

Internal alignment describes regulation through integrated understanding, conscience, coherence, and agency.

External alignment describes regulation through pressure, fear, reward, surveillance, institutional demand, social approval, or forced compliance.

The framework asks whether a structure increases real participation or mainly produces outward order.

Where To Go Next

Applied Governance Work

Readers focused on AI systems can continue into the applied governance branch. HAPI examines agency loss and weak refusal paths. AGS documents the technical governance stack for delegated agent actions.