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.
| 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) |
- 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
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