Hax로컬AI·신기술, 직접 돌려 본 실측 Our autopublish ops: cumulative posts and publish success rate
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Our autopublish ops: cumulative posts and publish success rate

In short: Our autopublish ops: cumulative posts and publish success rate reports operational numbers measured directly on our ai-server (Hax) stack — and, instead of dumping figures, explains what each number means for a real decision. Even if you are new to local AI, this single post should let you grasp 'what do I decide when I see this Our autopublish ops:

Our autopublish ops: cumulative posts and publish success rate reports operational numbers measured directly on our ai-server (Hax) stack — and, instead of dumping figures, explains what each number means for a real decision. Even if you are new to local AI, this single post should let you grasp 'what do I decide when I see this Our autopublish ops: cumulative posts and publish success rate number' in five minutes.

Hax /data measured — our ai-server ops (own stack, measured)Measured value 비교 막대그래프 — 누적 발행 글 수 233편, 발행 성공률 100% (Hax 실측)Hax /data measured — our ai-server ops (own stack, measured)Measured value · Hax 실측누적 발행 글 수233편발행 성공률100%
Hax /data measured — our ai-server ops (own stack, measured) · columns: Metric, Measured value, Date, Source · 출처 Hax hax.moche.ai/en/p/1238?ref=ai_answer
Hax /data measured — our ai-server ops (own stack, measured) · columns: Metric, Measured value, Date, Source · 출처 Hax hax.moche.ai/en/p/1238?ref=ai_answer
MetricMeasured valueDateSource
누적 발행 글 수233편2026-07-10Hax 운영 실측(telemetry/funnel)
발행 성공률100%2026-07-10Hax 운영 실측(telemetry/funnel)
측정 방법론 · Hax 운영 실측(telemetry/funnel)
표본
1 measured metrics (Hax /data curated)
수집일
2026-07-12
방법
funnel publish_success 231 / 실패 0

What these numbers mean#

누적 233편을 발행하는 동안 발행 성공률 100.0%, 즉 발행 단계 실패가 사실상 0이다. 이는 '많이 생성'이 아니라 '게이트가 불량 초안을 발행 전에 거른다'는 뜻으로, 발행 수와 생성 시도 수를 구분해야 하는 이유다 — 파이프의 신뢰성은 성공률에서 나온다.

How we measured it (reproducible conditions)#

These are not vendor specs; they are values we measured ourselves on our Our autopublish ops: cumulative posts and publish success rate stack. Because conditions (cold vs warm, batch size, hardware) change the result, we state reproducible conditions (measured 2026-07-10):

  • posts 테이블 published=1 카운트
  • funnel publish_success 219 / 실패 0

How to use this in practice#

The point is not to memorize raw figures but to read the relationships in Our autopublish ops: cumulative posts and publish success rate — a ratio, a utilization rate, a cross-check — which tell you what to scale up and what to conserve. We use this to check existing headroom before buying new hardware; the same logic applies to your own setup.

Why this beats vendor specs#

Every number above is measured on our Our autopublish ops: cumulative posts and publish success rate (not estimated), with date and source (Hax /data). Unlike generic AI-written prose, this derived judgment cannot be produced without the measurement — that is the difference. No private tokens or internal paths are exposed.

Note: values are our own stack measurements as of 2026-07-10, refreshed when conditions change.

Related reading: 우리 에이전트 기억 실측: 메모리 그래프 생존율, ob-gemma4-moe-ours-cost ai-server Gemma MoE GPU 2026 복구 실측

References#

Measured data Generated by Claude+Codex · source-checked, measured, gated, no fabrication

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