C/OThe Companion OfficeAI companion rankings & research

2026년 8월 시험 · 랩 테스트 23개 · 추적 320개 · 방법 v0.1 · 2026-08-24 갱신

예시용 미리보기 데이터아래 점수는 구조적으로 완결된 스테이징 데이터셋에서 계산한 값이며, 해당 제품들에 대해 공개된 시험 결과가 아닙니다.

21위

Loverse

58.8C/O 점수

Illustrative preview: in this staging dataset Loverse reads strongest on narrative initiative and weakest on paid experience per cost under methodology v0.1.

핵심 약점 두 가지

  1. Illustrative record: paid experience per cost scored 52/100 in the staging scenario set.
  2. Illustrative record: local-language performance scored 55/100 in the staging scenario set.

어떤 사람에게 맞는가

잘 맞는 경우
Readers weighting narrative initiative above the other criteria.
맞지 않는 경우
Readers who need verified production evidence rather than a staging preview.

시험 항목

항목결과
Conversation quality60.3
Local language and culture55
Continuity and memory57.4
Price and value58.3
Product usability and reliability61
Character and roleplay61

카테고리 점수

카테고리C/O 점수
종합58.8
관계59.7
롤플레이60.6
기억57.9
가격 대비56.9

기억 타임라인

  1. continuity 56/1002026-08-15
  2. contradiction-resistance 56/1002026-08-15
  3. delayed-recall 57/1002026-08-15
  4. memory-controls 56/1002026-08-15
  5. relationship-continuity 62/1002026-08-15

현지어 관찰 결과

  • local-language-performance: 55/100 (Illustrative staging scenario result recorded on the published 0-100 scale.)

가격과 유료 장벽 관찰

시험한 요금제paid-standard
관측 가격₩21,900
무료 한도21 messages per day
관측일2026-08-12

대안 세 가지

방법과 날짜

방법 v0.1 기준으로 2026-08-24에 계산했습니다.

정정

아래 원문은 기록에 저장된 영어 그대로이며, 번역하지 않았습니다.

  • 2026-08-24 app: apps A destination may only be published once it has been resolved, not assumed. (Edition-specific official destinations assumed Each edition points at the same verified official entry point until Task 7 verifies edition-specific destinations; 점수 변동 없음)
  • 2026-08-23 price: prices/kr Price facts must carry the date they were observed so staleness is visible. (Korean tier prices recorded without a stated observation date Every Korean price observation carries an explicit 2026-08-12 observation date; 점수 변동 없음)
  • 2026-08-22 methodology: 0.1 The published weight table needed an unambiguous definition before any score was calculated. (Overall product/local-language component described as a single dimension Overall product/local-language component is the mean of product reliability and local-language performance; 점수 변동 있음)

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