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) · 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

Metric | Measured value | Date | Source
누적 발행 글 수 | 233편 | 2026-07-10 | Hax 운영 실측(telemetry/funnel)
발행 성공률 | 100% | 2026-07-10 | Hax 운영 실측(telemetry/funnel)

목차

What these numbers mean

How we measured it (reproducible conditions)

How to use this in practice

Why this beats vendor specs

References

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.