Start Here
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
Theory
Start with the revised framework center for the current conceptual map.
Open TheoryCurrent Framework Map
Use the visual map to see the foundation, human-agency branch, and AI-governance branch together.
View the Current Framework MapStress Tests
See how the support/substitution distinction behaves across domains.
Open Stress TestsAI Governance
Read the AI alignment corpus, PCPI, and Agent Action Gate work.
Open AI GovernanceArchive
Use the archive to trace earlier formulations and supporting material.
Open ArchiveApplied 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.
Human Agency Preservation Infrastructure
The public agency-preservation branch connected to Alignment Theory.
Open HAPI overviewAlignment Governance Stack
The implementation-facing stack for governed agentic AI actions.
Open AGS overview