나의 AI 정체성과 AI 팀을 모든 AI 플랫폼에서 그대로 사용하세요.
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Agent of Me 만들기 스타일 탐색 전문 에이전트 커뮤니티 에이전트 리더보드 AI 뉴스
AI 플랫폼 디렉터리 Model Matrix 비교 어떤 AI를 사용해야 하나요? 연동 가이드 OpenClaw 설정 Prompt Fit
학습 및 도구 학습 데이터에 질문하기 에이전트 빌더 API
소개 회사 소개 문의 면책 조항
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무료 계정을 만들어 프로필을 구축하세요. 기본적으로 비공개입니다. 직접 공개하지 않는 한 아무것도 공유되지 않습니다.

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프롬프트, 시스템 지침, 컨텍스트 윈도우, 토큰이 처음이신가요? 모든 용어를 쉬운 설명으로 탐색하면서 익힐 수 있습니다. 동일한 페이지에 도움말이 내장되어 있습니다.

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인터페이스 언어

방법론

How a profile is built (multi-step, never a text blob). 1) Questionnaire answers are normalized against a versioned question bank. 2) Explicit preferences map to a structured trait model (0-100 scores and typed choices). 3) Writing samples run through a deterministic linguistic analyzer, sentence length, contractions per 100 words, hedges and boosters, punctuation habits, first-person rate, greetings/sign-offs, recurring phrases, using medians ACROSS samples so no single response dominates. 4) "Which sounds more like you" comparisons blend into the tone axes. 5) The result is a structured Style Profile stored separately from any prompt. 6) Prompt composition renders Compact/Standard/Full versions from that structure. 7) Every generation is versioned; hand edits become new versions; regeneration is always clean.

Where AI assistance is used. The core profile build is deterministic and works with no AI at all. Optional AI passes (labeled in-product): style enrichment over samples, Style Calibration comparisons, agent test runs, and Ask the Data answers. AI-observed notes are stored separately from measured metrics and never override them.

How agents are defined. Every professional agent is a structured definition, role, expertise, workflow, frameworks, required inputs, output structure, limitations, prohibited behaviors, escalation rules and (where the domain requires) mandatory disclaimers. Prompts are rendered from the structure, and versioned: your personalized copy pins its base version and upgrades only when you choose.

How Profile + Agent composition works. A fixed precedence order, safety/accuracy, then professional rules, then task, then the user's facts, reasoning preferences, communication preferences, writing style, is written INTO the composed prompt, so style shapes presentation without deleting required substance.

Platform directory review. Entries are maintained by hand with qualitative capability descriptions rather than numbers that drift; each shows its last-reviewed date and links to the official site. We do not publish pricing figures.

Counts and rankings. "Copies", "saves" and "uses" are event counters from real clicks on this site (anonymous events are rate-limited); "trending" is a 7-day window of the same. Curated example styles are labeled as such and carry no fake usage history beyond what visitors actually do.

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