Praxis (πρις) = 연습. 잘 알려진 지식.

---

In 에 한 문장

mutual Sharpening에 내장된 인간 AI 협력을 위한 인지적인 분야 — 인간적인 세트 intent와 directs, AI 도전 및 눈 먼 반점을 계시하고, 반복에서 두 배 배우십시오.

⚠️ 라이브 실험. 내인지 툴킷 - 포크, your 뇌에 적응.

이 v2이고, v1보다 작습니다. 나는 105의 기술을, 5 단계 건축했습니다 워크플로우 및 9-skill 게이트 시스템은 AI의 구조 밖으로 강제합니다. 자신의 일을 계획 할 수 없습니다. 그런 다음 모델은 극적으로 더 나은 결정과 자기 계획 — 그리고 그 비계의 대부분은 죽은 무게가되었다. 실제 연습의 달은 그것의 손잡이에 아래로 wore. 어떤 생존하지 않습니다 같은 것의 더 가벼운 버전; 그것은 어떤 stays ** 절대적으로 인간 ** 한 번 모형은 스스로 계획할 수 있습니다: persist intent, guide 큰 것에 경계, ** challenge ** confident 대답. 아크 - 그것을 구축, 연습 그것은, 그것을 shed — is praxis.

---

왜 이 존재

AI 도구는 강력하지만 혼란스럽습니다. 대부분의 사람들은 **micromanage ** 모든 프롬프트 또는 ** 삭제 AI 실행 야생 **기도. 실제 작업에 Neither 스케일.

🧠 Digital Stoic Praxis

Praxis (πρᾶξις) = practice. Knowledge enacted, not just known.

---

🎯 In One Sentence

A cognitive discipline for human-AI collaboration built on mutual sharpening — the human sets intent and directs, the AI challenges and reveals blind spots, and both learn from the loop.

⚠️ Live experiment. My cognitive toolkit — fork it, adapt it to your brain.

This is v2, and it’s smaller than v1. I built 105 skills, a 5-phase workflow, and a 9-skill gate system to force structure out of an AI that couldn’t yet plan its own work. Then the models got dramatically better at deciding and self-planning — and most of that scaffold became dead weight. Months of real practice wore it down to its handle. What survived isn’t a lighter version of the same thing; it’s what stays irreducibly human once the model can plan for itself: persist intent, guide at the big boundaries, challenge the confident answer. The arc — build it, practice it, shed it — is the praxis.

---

💡 Why This Exists

AI tools are powerful but chaotic. Most people either micromanage every prompt or let AI run wild and pray. Neither scales to real work.

This toolkit treats AI collaboration as cognitive discipline — a set of thinking modes you activate depending on the situation, where the AI also pushes back on your assumptions. The goal is not to make AI do more. It’s to think better together — and that includes letting AI challenge the human.

Deeper why → PHILOSOPHY.md

---

🧭 The Flow

The practice no longer fans out into phases. As the model got better at planning its own work, what’s left for the human collapsed to three things the model doesn’t do for itself:

flowchart TD
  M["🚀 Model self-plans(handles what scaffold used to force)"]
  subgraph CORE["what stays the human's job"]
    P1["💾 PERSISTcarry intent across sessions"]
    P2["🧭 GUIDEpropose, don't act ·gate at the big boundaries"]
    P3["😈 CHALLENGEhold the tension ·counter the confident model"]
  end
  M --> CORE
  CORE -->|"daily spine still runs underneath"| S["save/load-context · capture · commit · edit-toolkit"]
  classDef mod fill:#B3D9FF,stroke:#333,color:#000
  classDef pillar fill:#90EE90,stroke:#333,color:#000
  classDef spine fill:#E0E0E0,stroke:#333,color:#000
  class M mod
  class P1,P2,P3 pillar
  class S spine