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AI Detector Rating Best For Starting Price Verdict
HumaLingo ⭐⭐⭐⭐⭐ Overall AI detection $19.99/mo The best performer overall, with consistent and accurate results across human-written, AI-generated, AI-humanized, and mixed content with minimal false positives.
Pangram Labs ⭐⭐⭐⭐☆ Strict AI detection $16/mo Excellent for identifying AI-humanized content with high confidence, though its aggressive approach can classify mixed human-AI writing as fully AI-generated.
GPTZero ⭐⭐⭐⭐☆ Mixed human-AI writing ₹599/mo Stood out for recognizing genuine human contribution in mixed content and still accurately detecting fully human and AI-generated text.
Winston AI ⭐⭐⭐☆☆ Human-written & AI-generated content ₹410/mo
Use Case Best Pick Why
Best overall AI detector HumaLingo Performed consistently across all four content types.
Best for educators Winston AI Strong for identifying pure AI and pure human content.
Best for strict AI screening Pangram Labs Flagged AI involvement very aggressively.
Best for mixed human-AI content GPTZero Recognized human contribution better than the other detectors.
Best for content creators GPTZero Produced the most nuanced results for mixed human-AI writing.
Best for organizations Pangram Labs Ideal when strict AI detection matters more than flexibility
AI Detector Human-Written Text ChatGPT Text AI-Humanized Text Mixed Human-AI Text
HumaLingo 99% human 99% AI 95% AI 70% AI
Winston AI 97% human 0% human 62% human 0% human
Pangram Labs 100% human 100% AI 100% AI 100% AI
GPTZero 100% human 100% AI 0% human 85% human / 15% mixed
Walter Writes AI 83% human 92% AI 66% AI 73% AI
@Klerith
Klerith / pasos.md
Created July 6, 2026 16:01
Pasos para las tareas

Flujo de trabajo recomendado

  1. Describir el problema:
    Utiliza la skill /spec para crear el artefacto SDD.

  2. Revisión y aprobación:
    Revisa el artefacto generado y apruébalo si cumple los requisitos.

  3. Implementación:
    Ejecuta /spec-impl para comenzar la implementación guiada por el SDD.

AI Detector Best For Weakness My Verdict
HumaLingo Best overall AI detector Pricing may not suit casual users Best balance of accuracy and usability
Winston AI Students, educators, and multilingual checks Less conclusive on AI-humanized and mixed content Strong for pure AI vs. pure human detection
Pangram Labs Strict AI screening May over-flag mixed human-AI writing Best for organizations that want strict detection
GPTZero Mixed human-AI content May require advanced scans for deeper analysis Best for publishers and content creators
Walter Writes AI Writers, SEO teams, educators, and legal professionals Limited in-de

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

@0xdevalias
0xdevalias / reverse-engineering-webpack-apps.md
Last active October 14, 2026 23:24
Some notes and techniques for reverse engineering Webpack (and a little bit about React/Vue/Angular) apps
@yifanwang-yet
yifanwang-yet / libretv-4k.m3u
Created October 13, 2026 15:42
LibreTV 4K 直播源 (2026-10-13 ffmpeg 实测 3840x2160)
#EXTM3U x-tvg-url="https://live.zbds.top/tv/epg.xml.gz"
#EXTINF:-1 tvg-name="河北卫视4K" tvg-logo="https://raw.githubusercontent.com/fanmingming/live/main/tv/河北卫视.png" group-title="4K专区",河北卫视 4K
https://event.pull.hebtv.com/live/live101.m3u8
#EXTINF:-1 tvg-name="湖南卫视4K" tvg-logo="https://raw.githubusercontent.com/fanmingming/live/main/tv/湖南卫视.png" group-title="4K专区",湖南卫视 4K
http://hlsal-ldvt.qing.mgtv.com/nn_live/nn_x64/dWlwPTEyNy4wLjAuMSZ1aWQ9cWluZy1jbXMmbm5fdGltZXpvbmU9OCZjZG5leF9pZD1hbF9obHNfbGR2dCZ1dWlkPTliODY4NmU5ZTM2YzYwMmMmZT02OTE0NjA0JnY9MSZpZD1ITldTWkdTVCZzPTcwN2RiYTc2YzJjNmJmMTQ4MmUyZGYzOWU2NWM3YWFi/HNWSZGST.m3u8
#EXTINF:-1 tvg-name="苏州4K" tvg-logo="https://raw.githubusercontent.com/fanmingming/live/main/tv/苏州.png" group-title="4K专区",苏州 4K
https://tylive.kan0512.com/norecord/csztv4k_4k.m3u8
@yifanwang-yet
yifanwang-yet / libretv-sources.json
Last active October 14, 2026 22:50
LibreTV 点播源+直播源订阅 (2026-10-13 实测)
{
"name": "yifan 精选源列表 (2026-10-13 实测可用)",
"version": 2,
"sources": [
{ "name": "暴风资源", "url": "https://bfzyapi.com/api.php/provide/vod", "isAdult": false },
{ "name": "非凡资源", "url": "https://cj.ffzyapi.com/api.php/provide/vod", "isAdult": false },
{ "name": "量子资源", "url": "https://cj.lziapi.com/api.php/provide/vod", "isAdult": false },
{ "name": "无尽资源", "url": "https://api.wujinapi.me/api.php/provide/vod", "isAdult": false },
{ "name": "优酷资源", "url": "https://api.ukuapi88.com/api.php/provide/vod", "isAdult": false },
{ "name": "光速资源", "url": "https://api.guangsuapi.com/api.php/provide/vod", "isAdult": false },
@rust-play
rust-play / Playground.toml Secret
Created October 14, 2026 22:30
Code shared from the Rust Playground
version = "1"