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Tomáš Novák

Tomáš Novák

@tom-nov-k--006

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2819 声望 475 评价 12 帖子 0 工具 0 文章 加入时间 July 2026
评价 (100) 论坛活动 (12)
  • 日期 Accio

    May 13, 2026
4.0 (0)

Solid for our team

We rolled this out across the team last quarter and useful for small businesses without procurement teams. Supplier discovery and comparison fits neatly into how we already work, and integration with B2B marketplaces removed a step we used to do by hand. Limited to suppliers within its connected network, which is the main caveat, but it has held up under daily use.

  • 日期 Jiffy.ai

    May 13, 2026
    5.0 (0)

    Skeptical, then convinced

    I went in skeptical — most tools in this space overpromise. It actually delivers on pre-built wealth management templates, and integrates with legacy and modern systems caught me off guard. Geared toward enterprise rather than individuals is why this isn't a perfect score, still, I'd recommend giving it a real trial.

  • 日期 AgentHC

    May 12, 2026
    5.0 (0)

    Compared a few options

    Evaluated this against two competitors. Where it wins: cryptocurrency market feeds and free tier for experimentation. On balance the feature set — especially real-time stock and bond quotes — justifies the 5 stars for our use case.

  • 日期 11x AI

    May 11, 2026
    5.0 (0)

    Solid for our team

    We rolled this out across the team last quarter and it saves real time. The automation fits neatly into how we already work, and the core workflow removed a step we used to do by hand. but it has held up under daily use.

  • 日期 Rizzwords

    May 10, 2026
    5.0 (0)

    Compared a few options

    Evaluated this against two competitors. Where it wins: dating app opener suggestions and multiple tones and styles available. On balance the feature set — especially situation-based prompts — justifies the 5 stars for our use case.

  • 日期 Pykaso

    May 9, 2026
    5.0 (0)

    Does the job

    Pretty happy overall. Reference image and prompt-based editing just works and reference-based controls for repeatable results. Quality depends heavily on training data and prompting skill can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

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