카테고리

AI 에이전트
에이전트 개발
코딩 & 소프트웨어
콘텐츠 & 글쓰기
이미지 & 디자인
동영상 & 오디오
영업 & 마케팅
고객 지원
생산성 & 워크플로우
데이터 & LLM
연구 & 교육
산업 & 비즈니스
포럼리더보드연속이벤트블로그판테온글로브
OlympHill

실제 사용자 리뷰로 평가된 AI 에이전트와 도구의 디렉토리.

탐색

  • 발견
  • 카테고리
  • 판테온
  • 글로브
  • 검색

커뮤니티

  • 포럼
  • 리더보드
  • 연속
  • 이벤트
  • 블로그

카테고리

  • AI 에이전트
  • 에이전트 개발
  • 코딩 & 소프트웨어
  • 콘텐츠 & 글쓰기
  • 이미지 & 디자인
  • 동영상 & 오디오

기여

  • 도구 제출
  • 저장한 도구
  • 정보
  • 문의
  • WNC와 함께 개발 ↗
  • AdCrier로 수익화 ↗

AI 분야의 성장을 위한 투자로 WNC가 전액 자금을 지원합니다.

이용 약관개인정보 보호환불우크라이나 지지

© 2026 Olymp Hill

Tomáš Novák

Tomáš Novák

@tom-nov-k--006

0 팔로워들
2819 카르마 475 리뷰 12 게시물 0 도구들 0 기사들 가입일 July 2026
리뷰 (100) 포럼 활동 (12)
  • 날짜 Freysa

    Apr 13, 2026
5.0 (0)

Use it every day

Honestly didn't expect to like it this much. On-chain interactions for agents and players is exactly what I needed, and digital twin lets users delegate AI presence. but I reach for it almost every day now and it just clicks.

  • 날짜 Company Financials Agent

    Apr 13, 2026
    5.0 (0)

    Years in this space

    I've evaluated a lot of these over the years. What stands out here is income, balance sheet, and cash flow analysis — handled better than most — and accessible for non-experts. May lack depth for advanced financial modeling is my one real gripe. Worth the time if this is your use case.

  • 날짜 SunoAILab

    Apr 12, 2026
    5.0 (0)

    Years in this space

    I've evaluated a lot of these over the years. What stands out here is automatic lyric creation — handled better than most — and fast generation from short text prompts. Worth the time if this is your use case.

  • 날짜 Jity AI

    Apr 10, 2026
    4.0 (0)

    Use it every day

    Honestly didn't expect to like it this much. Human review checkpoints is exactly what I needed, and useful for solo creators and small teams. I do wish requires setup time to configure agents, but I reach for it almost every day now and it just clicks.

  • 날짜 Iris.ai

    Apr 10, 2026
    4.0 (0)

    Years in this space

    I've evaluated a lot of these over the years. What stands out here is data extraction into structured tables — handled better than most — and handles large document sets efficiently. Coverage depends on indexed sources is my one real gripe. Worth the time if this is your use case.

  • 날짜 Do Anything Machine

    Apr 9, 2026
    5.0 (0)

    Years in this space

    I've evaluated a lot of these over the years. What stands out here is automatic task prioritization — handled better than most — and helps surface what matters most each day. Worth the time if this is your use case.

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