# Poignant Guide

> AI detection research, evaluation methods, and the preserved Ruby guide.

## Evaluation and editorial information
- [Methodology](https://poignantguide.net/methodology/): Evaluation methods and definitions.
- [Text detector guide](https://poignantguide.net/best-ai-detectors/): Detector comparison and selection guidance.
- [About](https://poignantguide.net/about/): Editorial information and contact.

## Research archive
- [Benchmark archive](https://poignantguide.net/ai-detector-benchmark/): AI detector comparison, results and stated limitations.
- [Research archive](https://poignantguide.net/research/): AI detection studies, findings and research questions.
- [AI detection datasets](https://poignantguide.net/research/ai-detection-datasets/): Comparison of five published research resources.
- [Humanized text detection](https://poignantguide.net/research/humanized-text-detection/): Published studies on paraphrase attacks and adaptive detectors.
- [Multilingual evaluation](https://poignantguide.net/research/multilingual-ai-detection-benchmark/): Language-specific detector comparison and evaluation.
- [The Human Standard](https://poignantguide.net/the-human-standard/): The site's Ruby writing case study and detector results.

## Tools and preserved material
- [Writing-pattern tool](https://poignantguide.net/ai-detector/): Client-side heuristic analysis.
- [Ruby guide](https://poignantguide.net/ruby/): Why's (Poignant) Guide to Ruby, with attribution and licensing on each page.

Sitemap: https://poignantguide.net/sitemap.xml