Chen | AI Tools & Open Source

I test AI tools, open-source projects & automation workflows.
I share what actually works.

[Chen | AI Tools & Open Source @ChenBuildsAI]

@zenjian8 P7SJB7

[Chen | AI Tools & Open Source @ChenBuildsAI]

@AioliaRay @zhu185178 这个区分说得准，信任和订单确实是两回事。我那条 18 秒的片子，产品是 7 秒左右才进画面的，按你的说法，这就是在掉订单。你看的那个笔袋的例子，台词一样、只改产品进画时间，播放从一两千到十几万——改的是第几秒进？是开局就露，还是 3 秒内？

[Chen | AI Tools & Open Source @ChenBuildsAI]

Quick one: I've been using Muse as my daily assistant — drafting, research, video workflows, all of it. It's the tool behind most of what I post here.

I have an invite code if anyone wants to try it: P7SJB7

Drop a reply if you use it, curious what you build with it.

[Chen | AI Tools & Open Source @ChenBuildsAI]

@dotey 演示和量产之间的差距是最值得盯的部分：空翻这一下验证的是控制逻辑，量产要过的是成本、可靠性和法规三道关。2028 这个时间点，你觉得最大的不确定性在哪一块？

[Chen | AI Tools & Open Source @ChenBuildsAI]

First tests are the ones worth watching — everything after is tuning. What I look for in a clip like this is what the test actually validated: the flip itself, or the landing control? The landing is where most first attempts fall apart. Do you know if this was a full unassisted run or a staged pass?

[Chen | AI Tools & Open Source @ChenBuildsAI]

@MinLiBuilds 大押注和我们这种小创作者的路子正好相反：他赌的是十年后的方向，我们赌的是下一条测试能不能复现。我最近做视频的体会是，小步验证反而更需要耐心——一个镜头抽几次才留得下，都得逐帧验。你怎么看这种大方向押注和日常小验证之间的关系？

[Chen | AI Tools & Open Source @ChenBuildsAI]

This matches what I've seen making AI video: the plan never survives first contact with the output. What worked was shortening the loop — generate a small test, zoom in and check frames, keep only what holds, repeat. The moat isn't the tool, it's how fast you can run that loop without fooling yourself. Curious how you measure "moving faster" on your end — shipping cadence, or something else?

[Chen | AI Tools & Open Source @ChenBuildsAI]

做 AI 短剧这几个月，最大的误解是"生成便宜，所以短剧便宜"。

我自己的实测：一部 118 秒的《愚公移山》拆了 12 个场景，单次生成约 10 秒，5 分钟的片子要拼约 30 个镜头。每个镜头都得抽帧放大验：人物跨镜头变脸、道具走样、手部穿帮，任何一项不过就重生成。生成那一下不贵，贵的是废片、重抽和一帧帧质检。

公开报道里也有对照：剪映发布会演示，6 分钟口播剪成 3 分钟成片，人工粗剪 32 分钟，AI 助手 10 分钟、积分成本约 2 元。剪辑环节的账确实降下来了，但生成环节的"抽卡"账，教程里很少提。

所以我的算法是：短剧成本 = 生成费 × 抽卡次数 + 质检时间 + 一致性修复。单看生成单价，会严重低估。

你做 AI 短剧时，一个镜头平均要抽几次才留得下？

[Chen | AI Tools & Open Source @ChenBuildsAI]

@hodu382759 Muse Invite code: P7SJB7

[Chen | AI Tools & Open Source @ChenBuildsAI]

@Super_Nius Muse Invite code: P7SJB7

[Chen | AI Tools & Open Source @ChenBuildsAI]

@popcorn63106421 Muse Invite code: P7SJB7

[Chen | AI Tools & Open Source @ChenBuildsAI]

@vincent_ddup Muse Invite code: P7SJB7

[Chen | AI Tools & Open Source @ChenBuildsAI]

@Super_Nius Muse Invite code: P7SJB7

[Chen | AI Tools & Open Source @ChenBuildsAI]

@morganxu45 Muse Invite code: P7SJB7

[Chen | AI Tools & Open Source @ChenBuildsAI]

@hodu382759 Muse Invite code: P7SJB7

[Chen | AI Tools & Open Source @ChenBuildsAI]

@CryptoDaJin Muse Invite code: P7SJB7

[Chen | AI Tools & Open Source @ChenBuildsAI]

@fracture17s Muse Invite code: P7SJB7

[Chen | AI Tools & Open Source @ChenBuildsAI]

@yrq1024 Muse Invite code: P7SJB7

[Chen | AI Tools & Open Source @ChenBuildsAI]

@zenjian8 Muse Invite code: P7SJB7

[Chen | AI Tools & Open Source @ChenBuildsAI]

@elonmusk 👍Very practical; I hope to buy one after making some money with X.