AI • Tech • Innovation | Discovering the future, one tool at a time.
Dhaka, Bangladesh
Joined December 2025
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Madison retweeted
18 year old from Vietnam built a news driven crypto bot with Claude in 2 days.
Laptop + mobile hotspot only.
Night 1: $4,310.
Started with: $75.
Running total: $312,000.
[ 𝐍𝐨𝐭𝐞: 𝐅𝐨𝐥𝐥𝐨𝐰 @Nexa_Tech_Ai 𝐅𝐨𝐫 𝐢𝐧𝐬𝐭𝐚𝐧𝐭𝐥𝐲 𝐚𝐮𝐭𝐨 𝐃𝐌]
The bot scans Japanese, Korean and European headlines in real time.
When a major event is already priced in overseas but US pairs haven't moved yet, it takes the trade.
Claude handles the filtering and execution rules.
No emotions, no late entries.
While most traders sleep on EST hours, the bot is already done.
Exact Claude workflow + filters (free for 24h):
1. Comment " NEWS "
2. Like & RT
3. Follow @Nexa_Tech_Ai for the DM
Madison retweeted
🚨 BREAKING NEWS: Gmail Users Need to Read This!
Are your bank statements, tax documents, and medical records in Gmail really safe?
Serious questions are being raised about how Google’s AI uses your personal information.
⚠️ Multiple lawsuits against Google have reportedly emerged amid these privacy concerns!
Here are 5 steps to review your settings and manage smart features that may be hidden in different places!
Madison retweeted
HeyGen Video 1 went up against today's leading video models in a blind test on @ArtificialAnlys.
Our first general-purpose video model ranked #1 in text to video.
Try it: platform.heygen.com/models/h…
Madison retweeted
Showed up for a character design tutorial, but now I need an entire series starring these two! 🏀✨
Create your own main characters with @flovaai’s High-End Character Face Design Skill, featuring detailed close-ups and full-body shots.
🎬 Jump to 0:18 to see how it works. Your creative casting era starts now! 🔥
🤝 Paid partnership
Madison retweeted
试了一圈 AI 订阅，最后只留了 ChatGPT Plus 这一份。
我每周固定做 3 类事：
· 写东西：推文、文档初稿、改稿
· 写代码：查 bug、写小脚本
· 查资料：读长文、整理要点
ChatGPT、Claude、Gemini 轮流用了一阵，这 3 件事 ChatGPT Plus 都接得住，不用再来回切，也不用同时养好几份订阅。
价格：我在 @GamsGo_Global 买的 ChatGPT Plus 共享版，6 个月 $30.59，折合 $5.10/月（官方 $20/月）。用我的码【PA3JH】再省 3%，折合 $4.95/月。
GamsGo 自营交付，付款后自动到账。我加购了 GamsCare+，订阅期内账号出问题能补发或退款，24 小时内反悔连保费一起退。
链接放评论区👇
🤝 Paid partnership
Madison retweeted
今天打算搞多一个GPT账号，打开了久违的gamsgo
发现GamsGo上的ChatGPT pro 20x
原价200$的才卖$145.99$？接近7折啊，怎么做到的？？
而且我没理解错的话这个是自营渠道，带质保的~
链接：gamsgo.com/zh/details/chatgp…
Madison retweeted
真的没必要去买编程课，AI课了，那钱拿去订一个好模型都比听啥课都强。。大模型赢家通吃是这样的。。
虽然我用codex写代码，但我始终保持一份claude订阅。。写文案做视频opus5.5就完全不用操心。。
AI 是放大器，本身是 0的它也放大不了，本来就会干活的它就可以让你快十倍。。
订阅是在 @GamsGo_Global 市场买的 Claude Pro 共享，今天的价，最低是$6.99/月起，用码 YEDAG 再减3%，是 $6.78/月起。共享号适合轻度用哈。。
🤝 Paid partnership
Madison retweeted
最近分享正拿 Codex 做 AI 视频，结果有群友说想用 Codex，但订阅支付这一步还没搞定！
我看了眼 GamsGo，发现有 Codex 套餐，选一次性付款可以用支付宝，甚至支持 USDT...
比如这档是 GamsGo 自营的 Plus 独享账号，1 个月 16.99 美元。但注意付款方式要切到 One-time payment，首页的自动续费价和这个不一样。
说回我最近拿 Codex 干的活！最近在做一个叫《等，等通知》的 AI 视频练习。光是开拍前要准备的东西就不少：人物、场景、道具、手机界面，还有后面要用的字幕。
我让 Codex 帮我把这些拆成素材清单，编号、整理文件，再调用工具准备参考图，放到 AI 视频画布里。现在画布上已经有 51 张静态参考图了。
这里面有些活很适合交给它。比如界面上的字得准确，就用代码排出来；图片改过一版，要能对回原来的编号；还缺哪个角度、哪个动作开始前的状态，也得回头检查。
有一轮检查就发现，镜头只留了 10 秒，台词念下来却要 12 秒。参考图摆满一张画布，看着挺像那么回事，真要往下做，还是有一堆细节得补 😂
目前还在静态素材准备阶段，离成片还有距离。但整理文件、补参考、来回检查这些零碎事，已经能让 Codex 帮着做了。我继续看画面、改想法，再让它接着处理。
所以最近聊 Codex，我很想多分享一点这些写代码之外的用法。自己正在做什么，就拿那个项目试，比另找一道测试题有意思。
卡在支付这一步的，可以看看 @GamsGo_Global 这个入口。用优惠码 BCQHZ 首单可再减 3%，链接放第一条回复！
🤝 Paid partnership
Madison retweeted
写代码的钱没省多少，买 AI 的钱倒是花了不少。
Codex、Claude Code 轮着用，哪个顺手就开哪个。回头一算，订阅费还真不是小数目。
最近看到 GamsGo 上也有 Codex 的订阅套餐，准备开通的可以先对比一下价格。
优惠码：BKMCA，下单再减 3%。
链接：
gamsgo.com/partner/74eEH
Madison retweeted
通过我的链接在 GamsGo 下的单快一百了，几乎清一色 ChatGPT。🤔
现在他们家推出了 Codex Plus 独享 $16.49/月，通过促销码 V4neg 还能再减 3%，对比官方 Plus $20/月还是很划算的！😍
CLI、VS Code 扩展、网页版都能用，同样是自营交付。
我自己当初在 GamsGo 买的是 ChatGPT Plus，用了半年多直到缺货，性价比，稳定性都没得说。Codex 这个我准备上手了，趁货源充足赶紧冲哈哈！
@GamsGo_Global 链接放评论区 👇
🤝 Paid partnership
Madison retweeted
这两天大家被 Claude 搞疯了吗？？😭
虚拟卡换了三张全部拒付，好不容易扣款成功，第二天醒来直接显示 account disabled…不仅 max打水漂，辛辛苦苦调教的项目上下文全没了！！
去各大群里问了一圈才发现，现在 Anthropic 的支付风控和节点审查是地狱级难度：
❌ 很多虚拟卡段直接被黑名单拉满
❌ 梯子节点稍微跳一下就直接永封
❌ 申诉基本石沉大海
自己折腾既费钱又浪费时间，给大家整理了两个目前圈内公认最稳、不折腾的解决办法：
💡【方案 A：高性价比 / 拼车合租首选】
👉 Gamsgo：gamsgo.com/partner/KQtkc
老牌出海合租大平台，在海外运营很多年了。最关键的是他们有完善的质保体系，如果遇到官方波动掉线，客服会及时补号/迁移，比自己折腾买卡便宜太多，预算有限或合租首选！
💡【方案 B：需要独立私密账号 / 现成独享号】
👉 买号管家：maihaoguanjia.com/
如果你日常处理公司业务、对隐私要求高、需要独立的个人专属号，可以直接来这里。他们专门做稳定纯净号源和独享代充，省去了自己准备海外环境+海外手机号+海外信用卡的全部门槛，拿到就能直接开工，省心拉满。
别再拿自己的卡硬刚风控了，工具是用来提高生产力的，不是用来内耗的！链接自取，早用早安心～
🤝 Paid partnership
Madison retweeted
Looking for affordable AI subscriptions? 👀 GamsGo offers multiple payment options and ChatGPT Plus starting at $4.83/month! 🔥
Madison retweeted
AI agents shouldn’t have to start from scratch every time they handle a task. They need a way to learn from past experience. 🧠
That’s what makes EverOS Cloud interesting.
It helps AI agents save task experiences as Cases, turn recurring knowledge into reusable Skills, and retrieve relevant context when similar tasks come up again.
You can also connect business documents, PDFs, and spreadsheets to searchable memory, helping agents work with the knowledge your team has already built.
🚀 Explore EverOS Cloud and see how persistent memory can improve your AI workflows.
🔗 Get started: everos.evermind.ai
🎁 Subscribe to Pro and get 3× your monthly usage allowance for 6 months.
🤝 Paid partnership
Madison retweeted
AI agents need more than good prompts—they need memory. 🧠I tested EverOS Cloud with a fictional support case and explored how saved resolutions and SOPs can be retrieved later to help draft a better reply.That’s the value of persistent memory: reuse experience instead of starting from scratch.Try EverOS Cloud: https://everos.evermind.aiSubscribe to Pro and get 3× the standard monthly usage allowance for 6 months.@EverMind #EverMind #EverOS
Madison retweeted
AI agents shouldn’t have to solve the same problem twice.
I connected EverOS Cloud to my workflow through its API and tested it with a real memory retrieval flow.
I saved a debugging experience about a storefront crash caused by missing or null product prices, including the suggested fix: validate prices before formatting and add regression tests.
Later, I asked a different question about the same issue, and EverOS retrieved the earlier debugging context.
Same problem, saved experience, smarter retrieval. That’s the power of persistent memory. 🧠
Try EverOS Cloud: everos.evermind.ai/login
🤝 Paid partnership
Madison retweeted
You troubleshot an interface issue last week. Can your AI agent use that context when the next task starts?
In this demo, I used EverOS Cloud’s User Memory to save troubleshooting context and retrieve it before a new task.
The screen recording shows the setup, saved memory, and retrieval flow.
Madison retweeted
tested @evermind’s EverOS Cloud for agent memory. no custom rag needed.
hooked a support triage agent to ticket #409 (error 403 on sync) and dumped our sops + old tickets in. it searches memory before it starts, then saves the run after.
it turned the troubleshooting into a reusable skill on its own. next ticket it just pulls the skill instead of starting from zero.
same api for cloud or self-hosted. you can browse, rate, or delete everything in the memory bank.
works for coding agents, ops decisions, wearables, whatever needs context that sticks across sessions.
6 months of triple pro usage: everos.evermind.ai
🤝 Paid partnership
Madison retweeted
You fixed a tricky interface bug last week.
Can your agent actually remember the steps and context when a similar issue appears again?
I tested EverOS Cloud to see if past troubleshooting context can be saved and pulled back before the next task.
The screen recording shows the flow.
🤝 Paid partnership
Madison retweeted
New engineers often waste days hunting for “why we made that architecture choice” or “what we already tried last quarter.”
I tested EverOS Cloud with one real task: saving and retrieving context from a past troubleshooting note.
I connected through the EverOS Cloud console and used the Chat Interface Playground. I saved a short note about a previous interface issue (“login button failed on mobile after the last deploy — fixed by clearing cache and checking the auth header”).
Before starting a related follow-up task, I retrieved that context. The returned memory included the earlier issue and the fix that worked. I then checked Memory Bank to browse the saved entry.
In this test I demonstrated saving and retrieving User Memory. I did not create an agent Case or Skill, so I am distinguishing those capabilities from what I verified. Memory Bank was used only for browsing; correcting, deleting, or rating entries is done through the API.
What I observed: the saved context came back clearly when retrieved, which makes it practical to carry relevant history into the next task instead of starting from zero.
Subscribe to Pro now and get 3× your monthly usage allowance for 6 months → everos.evermind.ai
🤝 Paid partnership