
Kling Motion Control - AI Motion Transfer with Kling 3.0
Apply motion from reference videos to turn static images into animated videos.
Kling Motion Control — AI Motion Transfer with Kling 3.0
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Apply motion from reference videos to turn static images into animated videos.
Kling Motion Control — AI Motion Transfer with Kling 3.0

Check AI agent outputs and actions against your policies before execution; get allow, block, rewrite, or escalate decisions.
u/danielbaker06072001 · Reddit
Most AI agent SaaS is just bad security with a nice dashboard Give a new employee access to Stripe, GitHub, Slack, and your CRM on day one, and you’d call it reckless. Give the same access to an AI agent, and we call it “autonomous.” That isn’t innovation. It’s skipping basic security because the demo looks cool. Full disclosure: I’m building TrustLoopGuard around this problem, so I’m obviously biased. While testing one MCP connection, I realized I had decided what the agent could a

AI agent that generates comparable product concepts from ideas, sketches, images, and constraints.
@hedge8og · X
4月23日,我开始用 Codex 搭自己的产品。到现在,满3个月了。 截至7月19日,Codex 页面显示247.1亿个 Token,连续使用54天。标题里的“250亿”是取整,准确数字以截图为准。 这三个月,我把 做上线了,产品介绍视频改了很多版,也借助 Codex 做了不少以前一个人很难完成的工作。 具体一点:我用它整理过 BP、导出过 PDF、做过 PPT 工作稿,也把调研、文档、图片、浏览器操作、网站、视频和邮件这些常见 Skills 跑过一圈。有些后来真的进入了工作,有些试完就放下了。 现在回头看,最大的收获不是“我做过这么多种东西”,而是我越来越能分清:哪些能力能进入真实工作,哪些只是演示起来很厉害。 这些数字确实挺夸张。说实话,我自己看到也会觉得:是不是做了很多事? 但如果现在让我总结,我不会把它们当成绩。它们只能证明我很投入,蹬得快冒烟了,不能证明产品已经有价值,更不能证明商业已经成立。 我大学辍学,最高学历是高中,之前一直在制造业工作,也不会写代码。写这些不是为了卖惨,更不是想证明学历没用,只是先把我的真实起点说清楚。 2月 OpenClaw 火起来以后,我开始认真试各种 AI 工具,想先解决工作里那些重复、又不得不做的事情。 这期间还有一次,客户马上要我提案,但公司的设计师手上也有急活。我用 ChatGPT 做了产品效果图,最后拿到了订单。 老板后来跟我说:“早知道你可以帮我做这些,那些外包设计早就可以不用买了。” 到了4月,我又用扣子搭了发货模板和记账系统。原来需要手工对比核验的条形码、外箱码,我也开始想办法交给工具处理。 这张订单图只能证明订单记录是真实存在的,不能单靠它证明订单一定是 AI 带来的,更不是 Ohwait 的客户案例。AI 参与了产品效果图制作,之后拿到订单,是我对那次真实工作过程的记录。 那一刻让我兴奋的,其实不是发现了什么创业机会,而是我第一次觉得,模型真的可以成为人的“数字外骨骼”。 回头看这三个月,我现在有5个比较确定的结论。 ### 1. AI最好先从一个真问题开始 发货、记账、核验、临时要效果图,这些都不是什么宏大命题,但它们有一个共同点:问题原本就存在,而且有人正在为它花时间、花钱或者承担压力。 我现在判断一个 AI 工具有没有价值,还是看两件事:它有没有少让我重复

Read AI-summarized daily news on global AI developments.
@ChenglongW98225 · X
做了一个AI新闻日报,感兴趣的可以点下方链接看一下 有什么需要改进的也可以直接评论我,我都会认真回复

Monitor LLM calls, APIs, and infrastructure performance for AI agents.
kirankgollu · HN
Oodle.ai – $10 per million agent traces

Manage equipment rentals, payments, and inventory tracking in one system.
@ShakibMd93031 · X
Built an Equipment Rental Management System to simplify rentals, payments, and equipment tracking. Looking for businesses interested in a demo or a customized solution.

Benchmark version-control systems and coding agents on realistic development tasks.
videlov · HN
I was interested in answering this question so I built a benchmark comparing git, jj and gitbutler in agentic context https://vcbench.dev/ Disclaimer - I am a co-founder of GitButler

Edit videos with AI assistance while maintaining full creative control.
u/Juliur_ · Reddit
Built a "Cursor for Video Editing" because I couldn't stand another AI editor making decisions for me I've been building video tools for a while and here's my honest take: fully automated AI video editors are garbage. They cut the wrong frames, misplace captions, and you're stuck manually undoing everything. It's faster to just edit the damn thing yourself—but that takes 4+ hours per video. The problem isn't AI. It's that AI editors pretend they know better than you. They don't. So I buil

Upload a video walkthrough of your home to get AI improvement recommendations for maximizing resale value.
u/engineeralex · Reddit
I built a free AI tool that watches a phone video of your house and tells you what to fix before you sell People prepping to sell either sink money into a full kitchen remodel that returns about half (NAR pegs it around 55% cost recovery) or skip the cheap fixes that actually pay. So I built HomeBrief . Film a 3-5 minute walkthrough on your phone, a vision model watches it, and you get a room by room fix list with cost ranges and estimated value added. Calls from real reports, least aggr

Watch and steer autonomous coding agents in cloud devboxes with Claude Code, Codex, or OpenCode.
pranav100000 · HN
Aether – Run Claude Code, Codex, or OpenCode in devboxes you can watch

Design and simulate chemical processes with AI assistance for education and research.
@IbehOmodolor · X

Track your investment portfolio across equities, REITs, ETFs and crypto, with dividend forecasts and rebalancing suggestions.
@silverw_dot_ing · X