keystonehub · AX — Live Run

AI NativeOperating System.

A loop that plans, builds, verifies and evolves on its own — and still leaves the final call to a person.

Enter the model
AX-OS — RUN 001 00:00:00
POLICY ✓ · QUALITY ✓ · REGRESSION 85/85 Human approval — pending
LOOP 001
The Operating System

Not slides —
the operators' screens.

Real sessions, a shared account router, live context meters. This is the desk the loop actually runs on — terminals and gates, not mockups.

✳ 정책 모니터링 크롤링 작업 및 QA 진행⌥⌘2
49 -> 정책·공시 카테고리는 별도 크롤링 점검이 필요하다. 이 CSV만으로는 정책/공시 1건이 충족되지 않는다. 49 +> 정책·공시 카테고리는 별도 크롤링 점검이 필요했다 → §8에서 1차 점검 완료(2026-07-01): 가능 4 + 주의 1. 51  ## 2. 판정 요약 ● Update(references/source-whitelist-ratification-draft.md) ✳ 결정·점검 결과 문서 반영 중 … (6m 41s · ↓ 24.3k tokens) ✓ 정책·공시 출처 1차 점검 (5종) ▪ 비준 결정 + 정책·공시 점검 문서 반영·머지
›qa-loop · running
Opus 4.8 (1M context) · max In:652K Out:3 · 652K/1M $45.55 lucy · lucy@keystonehub.io ctx 65% 5h 8%(4h47m) 7d 81% 99% ▶▶ bypass permissions on (shift+tab to cycle)
✳ deploy-ax-hero-to-staging⌥⌘3
히어로 루프 6페이지 검증 완료 — 게이트 그린. 프리뷰 번들 준비됨. 전면 배포 전 다음 중 어디에 집중할지 알려주시면 단계적으로 진행하겠습니다: - 인터랙티브 강화 — 스크롤 연동 줌/패럴랙스, 호버 반응 - 레이아웃·여백 — 더 미니멀한 큰 여백의 모던 구성 - 특정 섹션 — 파이프라인·스탯·푸터 중 손볼 곳 ✳ Sautéed for 13m 10s
›deploy-ax-hero-to-staging
Opus 4.8 (1M context) · max In:843K Out:3K · 846K/1M $82.23 ctx 84% 5h 4%(4h52m) 7d 80% 99%
node — TeamClaude⌥⌘1
TeamClaudePort 3456 ▲
›lane01@keystone · oauthactiveWk 98%3d14h#1
›lane02@keystone · oauthactiveWk 81%5d11h#2
lane03@keystone · oauthactiveWk 100%1d7h#3
lane04@keystone · oauthactiveWk 74%1d17h#4
Activity  1 active
↳ selectswitchenable/disableorderaddReloadquit

Adopting AI is easy. The hard part is the standard, the verification, the accountability — and the loop that keeps improving itself.

The Operating Model

Four loops run in parallel,
one harness verifies them all.

Development, design, planning and QA each iterate in their own loop. Every artifact must clear policy, quality and approval gates before it reaches a human.

01
DevelopmentDev loop
Build → test → refactor → re-verify. Working code, produced to your conventions.
02
QAVerify loop
Generate test cases → regression → impact analysis. Verification that scales with the code.
03
PlanningPlan loop
Requirements → policy & exceptions → artifact review. Intent turned into a checkable contract.
04
DesignDesign loop
Design system → pattern generation → design review. Screens by rule, not by guess.
Governance HarnessPolicy · quality · approval gates · operating logs
PolicyQualityHuman approvalAudit log

Only what clears the gates
ever reaches a person. Failure isn't a stop — it's the next iteration's input

Scope & Governance

We don't ban AI.
We divide by risk.

Absolutenever cross

Personal data, customer data, security, legal, external transfer. Execution is blocked on violation.

Blocked on violation
Company-wideall teams

Document tone, customer principles, AI usage logging, approval bars. Enforced or audited regularly.

Enforced / audited
Team & productdomain

Per-team rules across development, QA, operations, and support — reflecting how each team works.

Owner-reviewed
Individualproductivity

Personal prompts, notes, automation routines, shortcuts. Encouraged, and the best ones are shared.

Encouraged & shared
A human makes the final call.AI output must clear the gates; every automation failure has a named owner and a reporting path.
Business Impact

Impact scales with
your engineering org.

We measure a baseline first, then confirm the target. Below is a reference at a 5% annual productivity gain — actual numbers are set after the diagnosis.

₩4.5억
100-person org · 5% / year
₩6.75억
150-person org · 5% / year
₩9억
200-person org · 5% / year
Roadmap

From what's verifiable,
stage by stage.

01

Diagnose

Map usage and problems across teams, QA and individuals; draft the governance design.

2–4 weeks
02

Standardize

Document company standards, team rules, approval and security principles.

Included
03

Verify

Build the automation loop and verification bar in one area, then measure the result.

~3 months
04

Scale

Roll the proven pattern across the org, with owners and weekly reporting.

Annual
The Exhibition

One brief,
six studies.

The same operating system, taken in different tempers before this one. The wall keeps turning — rest a cursor on it to pause, drag to wander.

Hover to pause · Drag to wander — six studies

Let's build
the standard.

The next meeting is about scope and data boundaries, not picking a solution. Sixty to ninety minutes is enough.

Book a diagnosis call
Jeonghwa Cho