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Joined April 2026
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Sarah retweeted
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#AITools #ArtificialIntelligence #AITech #Productivity #FutureOfAI
Sarah retweeted
$345K generated in just 35 days 🤯
No agency. No freelancers. No creative team.
Just one AI tool producing 348+ videos every day on autopilot.
🔥 400+ TikTok posts published daily
🔥 30 niche accounts
🔥 100% organic reach
Want to know which tool makes this possible?
Comment “AI” and I’ll share it with you.
(Follow me first!)
Sarah retweeted
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Sarah retweeted
8 Foods That Turn Average Men Into Sexual Beasts.
(No school will teach you this)
1. Garlic
Sarah retweeted
One of the biggest headaches in AI video creation is switching between tools, accounts, and API keys.
That's why ZenMux's unified API workflow makes so much sense.
Use one model for storyboards, another for reference images, and another for video generation—all in one place.
Less tool juggling, more time creating
🤝 Paid partnership
做真人感 DV 视频,最烦的不是创意,是工具。
脚本要一个模型,参考图要一个,生视频又是另一个。每家都订阅,月底算账很心疼;每家都用,账号、key、账单一堆,切来切去很乱。
最近看到大家都在用ZenMux，一个账户、一套 API,文字、图片、视频模型都能接,按任务选模型,按量付费,不用先订阅。
正好赶上他们的万圣节活动
每个活动日用现金 PAYG 实际消费满 $1,就能开一次模型盲盒。
我今天开了一次,开到 Claude Opus 5.5,1M tokens。这下我写分镜、做参考图和写提示词的额度又补上了。
我最近一直在做 DV 风格的真人感视频(下面是我做的一支),我的流程是:
1️⃣ 用 Opus 写分镜和镜头描述
2️⃣ 做角色和场景的参考图,写提示词
3️⃣ 把参考图送去生视频
这种要来回换模型的流程,放在一个账户里按需切换,会省掉不少切平台、重新登录的麻烦。
盲盒奖励是模型使用额度,不是现金。具体模型和概率以活动页为准。活动到 10/31,北京时间每晚 22:00 刷新。
👉 前往 ZenMux,查看并解锁今天的盲盒: zenmux.ai/halloween
也可以通过我的邀请链接访问：zenmux.ai/invite/VWRKVM
Sarah retweeted
AI food videos are getting ridiculously realistic! 🤯
From lifelike chewing movements to the tiny details on food, it's becoming harder to tell AI from reality.
The best part? I got Claude Opus 5.5 tokens through ZenMux's $1 Halloween mystery box and used AI to help create the video.
One account, powerful models, endless creative possibilities! 🎃
🤝 Paid partnership
如果你害羞不敢出镜做自媒体，那么你一定认真看这个视频，包你学会，日入过千💰不是梦！
我线下的朋友一个人操盘 6 个矩阵号，一天批量发上百条同城探店。
这是他帮我做的视频，现在的 AI 技术已经离谱到根本分不清真人还是假人，连咀嚼的面部微动作和嘴角的油光都一模一样！
以后餐饮老板再也不用花大几千请探店博主了，不用看档期、不用对脚本。
AI 一键生成吃播视频，一条成本几毛钱，直接把本地生活流量干穿！
行了，吹完牛讲点大实话。其实这个吃播视频，是我昨天花 1 美元抽盲盒白嫖出来的。
在 ZenMux 跑任务刚好花了 1 美元，顺手开了个万圣节盲盒，没想到直接开出了顶配的 Claude Opus 5.5 100 万 tokens！
抽到顶配模型别放着吃灰，我反手让 Claude 帮我把探店吃播的运镜和提示词全推演了一遍，然后丢进 Seedance 2.5 跑画面，一次成型，吃饭质感直接拉满。
这个万圣节盲盒到 10月31日 22点截止，每天 3000 份，44% 能开出 Claude、GPT 或 Gemini，每天跑满 1 美元就能开一次。
提示词和入口放评论区了，赶紧来赚大钱
Sarah retweeted
The best part of an AI mystery box? You might discover a model you wouldn't normally try. 🎃👀
ZenMux is giving away daily mystery box rewards through its TRICK OR TOKENS? event.
If you could win Tokens for any AI model, which one would you pick?
🤝 Paid partnership
还以为这辈子谷歌不给用 Gemini 4 Argon，居然以这种方式用到了 😂
在 @ZenMuxAI 上花了 1 刀，解锁万圣节盲盒，结果开出了 100 万 Gemini 4 Argon Tokens 🎃
看着这个开盒画面，我自己都愣了一下
这次活动叫「TRICK OR TOKENS?」，玩法还挺简单：每天用现金按量付费（PAYG）消费满 $1，就能开一次模型盲盒
奖池里有 Claude、GPT、Gemini、Kimi 等 16 款模型，每天有 3,000 份奖励。像我这样开到 Gemini，也可以拿来试试之前没机会用的模型
ZenMux 本身是个 AI 模型平台，一个账户、一套 API 就能接入不同厂商的文本、图片和视频模型
活动到 10 月 31 日晚 22:00 结束，每天同一时间刷新（新加坡时间）。每个账号每天最多开一次，全程最多五次；订阅用量、赠送额度和优惠券抵扣不算进那 $1
这 100 万 Tokens 到手了，接下来得想想先拿它做点什么。大家有没有想看的测试？👀
前往 ZenMux，查看并解锁今天的盲盒👇
zenmux.ai/halloween
Sarah retweeted
Spend on AI models, get a chance to win more tokens!
ZenMux's Halloween mystery box is a fun bonus for anyone already using AI APIs. One account, multiple models, and a chance to unlock valuable credits.
Use what you need and enjoy the surprise! 🚀
🤝 Paid partnership
Sarah retweeted
This is a great example of why AI memory matters. 👏
A new chat retrieved an existing store policy, answered a customer’s question, and even identified a missing detail.
That’s more useful than simply generating a response. It’s AI working with context and past experience.
@evermind #EverOS
🤝 Paid partnership
Most AI agents can do the work. The problem? They forget what they learned.
Every new task shouldn’t mean starting from scratch.
That’s where EverOS Cloud by @evermind comes in. 🧠
I tested it with a real use case: running a small online clothing shop.
Chat 1: I saved my exchange policy to EverOS memory: wrong size means a free exchange, the shop covers courier costs, and the correct size ships within 3 days.
Chat 2: I opened a brand-new chat and asked Claude how to respond to a customer who ordered M but received XL.
It retrieved my saved policy and drafted a reply based on the rules I’d already provided. Even better, it spotted a gap in my policy: I hadn’t specified how the wrong item should be returned.
That’s what persistent memory can make possible. 👇
→ Records agent runs as Cases and turns recurring experience into reusable Skills.
→ Makes information from documents, emails, PDFs, and spreadsheets searchable as memory.
→ Retrieves relevant context before a task and saves new experience afterward through an API.
→ Combines past experience with SOPs to support repeatable workflows.
The screenshots show my actual test: the shop’s policy being saved in one chat, then retrieved to answer a customer-support question in a separate chat.
🚀 Special Pro Offer: Subscribe to Pro and get 3× your monthly usage allowance for 6 months.
Explore EverOS Cloud 👇everos.evermind.ai/login
#EverMind #EverOS
