# PERMANITAI Framework

> Universal Performance Factor Analysis. Cross-domain methodology for AI agents, robotics, and hybrid systems.

## About

This page is part of the **AUGMANITAI Research Programme** by **Andreas Ehstand** — AI Researcher · Human-AI Interaction · Starnberg, Germany. Descriptive phenomenology of patterns observed when humans interact with AI systems.

## Identifiers

- ORCID: https://orcid.org/0009-0006-3773-7796
- Wikidata: https://www.wikidata.org/wiki/Q138634675
- GitHub: https://github.com/AndreasEhstandLicenseofClarityLOC

## Key Resources Across the Programme

- [Portal](https://andreasehstandlicenseofclarityloc.github.io/augmanitai-portal/) — Central landing for nine connected corpora
- [Master Compendium](https://andreasehstandlicenseofclarityloc.github.io/augmanitai-stage-0/) — 1,128 defined terms (EN+DE, CC BY-NC-ND 4.0)
- [Knowledge Graph](https://andreasehstandlicenseofclarityloc.github.io/augmanitai-wow/) — Interactive 79-term selection
- [Periodic Table](https://andreasehstandlicenseofclarityloc.github.io/augmanitai-periodic-table/) — 100 most representative patterns
- [Academic Atlas](https://andreasehstandlicenseofclarityloc.github.io/neomanitai-terms/) — 2,141 academic term pages with machine-readable exports
- [Performance Framework](https://andreasehstandlicenseofclarityloc.github.io/permanitai-framework/) — PERMANITAI cross-domain methodology
- [Author](https://andreasehstandlicenseofclarityloc.github.io/andreas-ehstand-entity/) — About Andreas Ehstand
- [Synmanitai Essay](https://andreasehstandlicenseofclarityloc.github.io/synmanitai/) — Founding methodological essay

## License

CC BY-NC-ND 4.0 · https://creativecommons.org/licenses/by-nc-nd/4.0/