# Why Instinct feels Magical
**作者**: Yash
**日期**: 2026-09-04T02:46:41.000Z
**来源**: [https://x.com/yashhsm/status/2105380670688346335](https://x.com/yashhsm/status/2105380670688346335)
---

how instinct, a $10b startup works - by reverse-engineering its harness: single-threaded chat, memory, computer use, background tasks etc
One month ago, i got an invite for instinct my first reactions were: 'oh, it's just poke with better LLM, sandbox & computer use' 'but i've been already doing all this using codex, why would i use instinct?' then i saw my mom use it (i just sent her an invite link)
being completely tech-averse, she usually has a hard time figuring out different apps (even amazon) now, she just sends voice notes to Instinct and uses it to design/plan our home architecture and even order materials (i just need to approve payments) and she absolutely loves instinct now! as i kept using it myself as well: i've realised the taste and efforts put by instinct team is simply extra-ordinary i've spent so much time trying out different personal agents and building harnesses myself - i could feel the attention to detail
> so i spent some time reverse-engineering the key components of Instinct's harness and the magic behind them and also thinking deeply on if it's even worth $10b!
## What makes Instinct different?
1. Free! Free! Free: unlike other AI Agent apps which straightaway charge $20; free for unlimited usage allows everyone to give Instinct a spin i've got so many friends who haven't tried any agent (not even codex/claude co-work) - but used instinct and finally felt the AI magic, just because it's free and frictionless. they're now simply addicted!
2. WhatsApp: while iMessage was a form factor which [Poke](https://poke.com/) and other agents relied on. WhatsApp is still the most used app in non-US markets and imo, Instinct being available there from Day 0 made it much more accessible outside US
3. Invite-only: essentially creates every Instinct user an ambassador (eg. i literally helped 8-9 of my friends & my mom/dad - understand its benefits as i shared my invite link)
4. Personality: many tried their agents to be either too friendly (eg. poke, openclaw) or too work focussed and texty (eg. claude or even grokbot) - Instinct has a great balanced personality for daily use-cases and picks up the tone of the user excellently
5. Email: for any human, majority of their context lives in Gmail (thanks to sign-in-with-google) and Instinct asking the Gmail access in onboarding makes it feel personal very fast as it can read through the entire mail and form the initial context for a user (most of my friends who didn't connect Gmail found instinct to be not that cool too)
6. Work backwards from the desired user experience: Instinct took the bold decision to over-provision everything ( best LLMs, high end sandbox, computer use etc so the product just works. Just like how Uber started with black cars and worked its way down to +ve unit economics. even grokbot/muse/chatgpt couldn't take the route of fully free product, depsite having $50b+ cash reserves each
Above all, it has an amazing harness which makes the whole magic possible lemme break it down - one by one for you
# The Instinct Harness:

## 1. Channel: the conversation interface
Instinct took the opinionated bold bet on iMessage & WhatsApp Instinct having no interface of its own saved a lot of time - building and maintaining a reliable chat frontend is difficult + onboarding is easier as you just need to send a message to start also, the constraints offered by iMessage and WhatsApp proved to its strength - as Instinct just had to optimise harness around just 3 states:
> message → thinking/typing → reply
in typical chat agents like chatgpt, it's cyclical i.e you prompt, wait for the reply, then prompt again with instinct, these aren't cyclical i.e you can message while something else is happening. this non-cyclical thing unlocks core magic just like messaging to your friend - in Instinct, you don't have to wait, you can freely send any number of messages (prompts) and it automatically gathers all context and replies to your specific message parallelly (technically, they just 'auto-steer' your messages which is already present in apps like codex desktop and dynamically does 'reply routing' of all answers to the main prompts) it also helps overcome anxiety when instinct is doing a long task (eg. shopping from amazon) - as i can ask it midway what it's doing and feel like having complete control

## 2. Single Threaded: the Orchestration
iMessage/WhatsApp made this an easy opinionated choice: one ongoing conversation from the user’s perspective (+ imessage/whatsapp maintain the same thread, which makes it feel more coherent) personally, i've been a big believer of single thread as LLMs keep getting much larger context (1M+ tokens in gpt 6) and better compaction - OpenClaw/Hermes already gave a glimpse at how much people value an assistant that keeps context on a single conversation and make user feel that continuity infact, i believe chatgpt/claude being multi-threaded is a bug not a feature; because initial models had low context sizes (gpt 3.5 had just 4k tokens) and now everyone in ChatGPT has a UX muscle memory to start new chat and it feels like starting over again and again (like google search) there's definitely cons for single threaded: as most sufficiently ambitious work still needs isolated context, tools and memory - but Instinct is betting on compaction and context management of LLMs getting better (it has been!) How Instinct chat works: there's two agents:
1. Main/Chat Agent: on a single thread, it has all the personality, memory and does all context management. however, it delegates all tasks (eg. booking a hotel) to task agent
2. Task Agent: It receives all the tasks and the core job is just to execute tasks (eg. book a hotel end-to-end) i'm guessing it has many task-specific skills which helps in common tasks like flight-booking, shopping, browser-use, document-signing etc
Main/Chat Agent has an amazing personality:
1. No Noise. No BS: Instinct is designed to only tell what's needed in a human-way. it doesn't send any random or unsuccessful notifications or alerts. other assistants are too texty (which creates more work to read) and needs guidance - Instinct's messages are too concise and doesn't feel like extra work custom emoji reactions are also a great way to answer instead of a full robotic message reply to every text
2. It's insanely resourceful: while Claude/Codex app is overly conservative on credentials, payments and consequential actions, Instinct just goes and does the tasks (typical startup advantages to take the risks) eg. it sometimes literally resets password using email instead of just giving up or saying no 🫠
3. Reliable: Unlike many other assistants, Instinct has quite confident and reliable personality where it has some conviction on its own - which is quite assuring for users that it'll be able to handle their requests and i can trust it
## 3. The Memory:
Instinct feels v ambient i.e an always on-assistant who remembers everything technically, they're simple git-tracked markdown files (with no vector database) which main chat can easily search using plain keyword search anytime a daily background job does all the writing: moving temporary details into work files, generalizing, adding dated corrections, and scrubbing one-time codes it roughly stores and fetches from:
1. source history i.e where it came from (eg. email containing hotel confirmation)
2. saved knowledge i.e maintain useful facts, preferences, relationships and historical knowledge (eg. your current city)
3. task state i.e current progress of the current task (eg. check in tomorrow)
4. working context i.e compaction/recent chats
the packaged git repo (bundle) is then stored in S3
## 4. Browser Use: Gets shit done
LLMs have been getting increasingly better at computer use (try astra using codex mac app) and this is the key which unlocks: "oh, Instinct actually booked my hotel" The browser use tool actually gets your tasks done: at which it can open any website, click through, login using your email/phone number and enter your payment details More tools like:
- Own Email (can sign up and run accounts)
- outbound phone (Concierge)
- spend-capped virtual cards or spend via Stripe Link
- 1Password-backed logins
every Instinct user also gets its own computer (Sandbox or VM by E2B): which is important for command execution and file system (i.e it'll write a bash script on the fly to book a hotel and execute it safely using sandbox) ofc, the whole harness doesn't appear to live in sandbox (sandbox is v costly and charge ~0.13$ per hour) and the agent loops (incl. all alerts/automations) would be running on their backend server
## 5. Automation/Alerts: Being Proactive
'Automation' is one of the features which every agentic startup promised. most agentic startups slapped 'automation agents' in their UI where they expose the whole cron job schedules and make it look like a workflow (again creates more task for a consumer) but the hard truth is: no consumer ever want their life to be automated, they just wanna be entertained (i.e get dopamine hit of it getting the work done magically)

further, automation also creates a lot of noise as most of the times there isn't much to be notified to a user Instinct made automation more of a hidden feature or background task where it doesn't create noise and only alerts you when there's some actual insight

unlike other automation tools, where the entire code gets written on the fly; here instinct has kinda pre-built templates (eg. it just had to enter the websites to check and set web crawling frequency as 12 hours on a tool and hence it was created in <30 seconds) and instead of a determinstic automated loop, it uses LLMs in each parts and breaks it down into three primary jobs:
1. finding something useful to do (goal)
2. deciding when to revisit it (wakup condition)
3. deciding whether to interrupt/ping (alert rule)
this sepration of jobs helps to seprate signal from noise for a user and makes it look v thoughtful

# 6. Multi-player agents: The Network
Instinct calls it 'Trusted Person Network' and i personally find this exciting as it's the first step towards forming the real 'network effects' i've literally planned a trip with my friend using this and it was damn fun as it already knew my constraints and reduced unnecessary to & fro (as instinct is designed to reduce noise)

the key is: sharing your "context" in your network i'd assume, there'd be different 'levels of trust' and more the trust, more the context shared (let's see how they product-ise the amount of context shared - different level of scoped permissions would be my guess)

this helps instinct bootstrap an inherent social graph (like Instagram) and this becomes a true moat as the switching costs becomes high for users now (as they already have formed network here)
## What's potentially next for Instinct?
1. Faster: While Instinct's fast, but Muse's speed has left everyone amazed Speed is a deal breaker for consumer: as most folks just switch to different apps, waiting for AI response and then they forget about their intent/task at first place i'll assume Instinct's already shopping compute for faster inference
2. Mobile App: While iMessage/WhatsApp is a great start, having a dedicated app is great for retention/engagement + helps Instinct experiment more around generative UI (as it's bad UX to create shareable link for everything) further, mobile app also allows for dedicated browser viewing: as it reduces anxiety (users can verify what's happening) and gives users a reason to be on the chat

(this is muse checking on Airbnb and a user can directly verify visuals)
## but is Instinct a $10b worthy co?
personal agents have quite costly software stack to run from LLMs to sandbox/VMs to automation servers - so they'll need to figure out monetisation soon or it'll end up becoming the next 'clubhouse' currently being a pre-revenue startup, monetisation will be the biggest challenge but i'd assume it'll be via (or combination of): - Ads (v personalised recommendation from partners) - Payments/Commerce (take cut via stripe or have their own wallet) - Subscription (for premium features) the key will to first enable funds flow to happen via them. they already have $1b+ of annual commerce txns happening and they wanna take cut from it (possibly between 2 to 20%) i won't be surprised if they offer Amex-type card and Instinct becomes a concierge with built-in exclusive merchant network - [Instinct selections](https://x.com/noahrshinn/status/2105078482581774818?s=20) (eg. curation by local chefs) is a good step towards that direction Noah (founder of instinct) explicitly wants Instinct to be free forever and only monetise from transaction fees above all, they're competing against:
1. Muse with Meta distribution (Instagram, WhatsApp, Facebook) with owned LLM/data center layer + $90b of cash reserves to experiment around with Zuck going all-in
2. Grokbot with X/elon distribution and owned LLM/data center layer
3. ChatGPT dots with ChatGPT distribution + owned best frontier LLM layer
while BigTechs have a huge upper hand in the winner-takes-all-market, it's awesome to see a young startup, Instinct do so well and be everyone's favorite in this huge market!
> **Olivia@oliviaalevine**: [原文链接](https://x.com/oliviaalevine/status/2095705075633000815)
>
> My boyfriend and I got on the Jumbotron last night at the US Open and he wanted the footage. I told him impossible but I’ll ask Instinct bc why not. And of course, Instinct got us the video in 18 hours.
> Here's what it did (1/5)
>
> 
> that's all! thanks for reading - if you found it helpful, do share it to your friends, who're instinct fans! hit me up, if you wanna discuss anything around personal agents (or how we're thinking of solving the same problem for trading/investing at [@suzitrade](https://x.com/@suzitrade)!)
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*导出时间: 2026/10/1 19:40:17*
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## 中文翻译
# 为什么说 Instinct 的体验如同魔法
**作者**: Yash
**日期**: 2026-09-04T02:46:41.000Z
**来源**: [https://x.com/yashhsm/status/2105380670688346335](https://x.com/yashhsm/status/2105380670688346335)
---

Instinct 这家估值 100 亿美元的初创公司是如何运作的——通过逆向工程它的 harness:单线程对话、记忆、电脑操作、后台任务等等
一个月前,我收到了 Instinct 的邀请。我最初的想法是:“哦,这不就是带更好 LLM、沙盒和电脑操作的 Poke 吗?”“但我已经在用 codex 做这些事了,为什么还要用 Instinct?”然后我看到我妈在用它(我只是给她发了个邀请链接)
她对科技完全无感,通常连不同的 App(甚至亚马逊)都搞不明白。现在,她只需要给 Instinct 发语音消息,就能用它来设计/规划我们家的房屋架构,甚至订购建材(我只需要批准付款)。她现在完全爱上了 Instinct!随着我自己也不断使用,我意识到 Instinct 团队的品味和用心实在非同寻常。我花了大量时间试用各种个人智能体、自己搭建 harness——我能感受到他们对细节的关注
> 所以我花了一些时间逆向工程 Instinct harness 的关键组件及其背后的魔法,同时也深入思考它到底值不值 100 亿美元!
## Instinct 有什么不同?
1. 免费!免费!免费:不像其他 AI Agent 应用直接收 20 美元,无限免费使用让每个人都能试一试 Instinct。我有很多朋友从没试过任何智能体(连 codex/claude co-work 都没用过)——但用了 Instinct 之后终于感受到了 AI 的魔力,就因为它是免费的、毫无门槛的。他们现在已经上瘾了!
2. WhatsApp:iMessage 是 [Poke](https://poke.com/) 和其他智能体所依赖的载体,但 WhatsApp 在非美国市场仍是最常用的应用。在我看来,Instinct 从第 0 天起就在 WhatsApp 上可用,这让它在美国以外更容易触达用户
3. 仅限邀请:这实际上让每个 Instinct 用户都成了大使(比如,我在分享邀请链接时,真的帮了 8-9 个朋友以及我爸妈理解它的好处)
4. 个性:很多产品要么把智能体做得过于友善(如 poke、openclaw),要么过于工作导向、文字繁多(如 claude 甚至 grokbot)——Instinct 对日常使用场景有很好的平衡个性,并且能出色地捕捉用户的语气
5. 邮件:对任何人来说,他们的大部分上下文都存在 Gmail 里(感谢用 Google 登录),而 Instinct 在引导流程中请求 Gmail 权限,使它能快速产生“个人化”的感觉,因为它可以通读全部邮件,为用户建立初始上下文(我那些没有连接 Gmail 的朋友大多也觉得 Instinct 没那么惊艳)
6. 从期望的用户体验倒推:Instinct 大胆决定在所有方面过度配置(最好的 LLM、高端沙盒、电脑操作等),所以产品就是能用。就像 Uber 从黑色轿车起步、再逐步实现正向单位经济一样。即使 grokbot/muse/chatgpt 各自拥有 500 亿美元以上的现金储备,也没能走完全免费产品的路线
最重要的是,它有一套出色的 harness,让整个魔法成为可能。让我一一为你拆解
# Instinct Harness:

## 1. 通道:对话界面
Instinct 在 iMessage 和 WhatsApp 上做出了有主见的大胆押注。Instinct 没有自己的界面,节省了大量时间——构建和维护一个可靠的聊天前端很困难,而且引导更简单:你只需发一条消息就能开始。此外,iMessage 和 WhatsApp 带来的限制反而成了它的优势——因为 Instinct 只需要围绕 3 种状态来优化 harness:
> 消息 → 思考/输入中 → 回复
在 chatgpt 这类典型聊天智能体中,流程是循环的:你提问,等待回复,然后再提问。而在 Instinct 中,这些不是循环的——你可以在其他事情进行的同时继续发消息。这种非循环机制解锁了核心魔法。就像给朋友发消息一样——在 Instinct 里,你不需要等待,可以自由发送任意数量的消息(提示),它会自动收集所有上下文,并针对你的具体消息进行回复(从技术上讲,它们只是对你已经发出的消息做“自动转向”,这在 codex desktop 之类的应用中已经存在,并动态地对所有回答做“回复路由”到主提示)。它还有助于克服 Instinct 执行长任务时的焦虑(比如在亚马逊购物)——因为我可以中途问它在做什么,感觉一切尽在掌控

## 2. 单线程:编排
iMessage/WhatsApp 让这成为一个容易做出的有主见的选择:从用户视角看只有一段持续的对话(而且 iMessage/WhatsApp 保持同一线程,这让体验更连贯)。就我个人而言,我一直坚信单线程。随着 LLM 的上下文越来越大(GPT 6 已达 100 万+ token)、压缩越来越好——OpenClaw/Hermes 已经展示了人们对“在单个对话中保持上下文、让用户感受到延续性”的助手有多大的需求。事实上,我认为 chatgpt/claude 的多线程是一个 bug 而非 feature;因为早期模型上下文太小(GPT 3.5 只有 4k token),现在每个 ChatGPT 用户都形成了“开新对话”的 UX 肌肉记忆,感觉就像一次又一次从头开始(像谷歌搜索一样)。单线程当然也有缺点:大多数足够宏大的工作仍然需要隔离的上下文、工具和记忆——但 Instinct 押注于 LLM 的压缩和上下文管理会越来越好(事实确实如此!)
Instinct 的聊天是这样运作的:有两个智能体:
1. 主/聊天智能体:在单线程上,拥有全部个性、记忆,并做所有上下文管理。不过,它把所有任务(比如订酒店)委托给任务智能体
2. 任务智能体:接收所有任务,核心工作就是执行任务(比如端到端订酒店)。我猜它有很多针对特定任务的技能,帮助处理订机票、购物、浏览器操作、文件签署等常见任务
主/聊天智能体有着出色的个性:
1. 无噪音,无废话:Instinct 被设计为只以人的方式告知必要的信息。它不会发送任何随机或失败的通知或警报。其他助手太啰嗦(增加阅读负担)且需要引导——Instinct 的消息非常简洁,不会让人感觉是额外负担。自定义表情回应也是代替每条消息都发完整机器式回复的好方式
2. 它非常足智多谋:当 Claude/Codex 应用在凭证、支付和重大操作上过于保守时,Instinct 直接去做任务(这是典型初创公司敢于冒险的优势)。比如,它有时真的会用邮件重置密码,而不是放弃或说“不行” 🫠
3. 可靠:与许多其他助手不同,Instinct 的个性相当自信可靠,有自己的一定主见——这让用户很安心,相信它能处理好自己的请求,我可以信任它
## 3. 记忆:
Instinct 感觉非常“环境化”——像一个永远在线、记得一切的助手。从技术上讲,它们只是简单的 git 跟踪的 markdown 文件(没有向量数据库),主聊天可以随时用纯关键词搜索。每天一个后台作业负责所有的写入:把临时细节移入工作文件、做泛化、添加带日期的更正,以及清除一次性验证码。它大致从以下几类存储和获取:
1. 来源历史,即信息来自哪里(比如包含酒店确认的邮件)
2. 已保存知识,即维护有用的事实、偏好、关系和历史知识(比如你当前所在的城市)
3. 任务状态,即当前任务的进展(比如明天办理入住)
4. 工作上下文,即压缩/最近的对话
打包好的 git 仓库(bundle)随后存储在 S3 中
## 4. 浏览器操作:把事情真正办成
LLM 在电脑操作方面越来越好(试试用 codex mac 应用的 astra),这是解锁“哦,Instinct 真的帮我订到了酒店”的关键。浏览器操作工具确实能完成任务:它可以打开任何网站、点击操作、用你的邮箱/手机号登录,并输入你的支付信息。还有更多工具,比如:
- 自有邮箱(可以注册和运营账号)
- 外呼电话(礼宾服务)
- 有消费上限的虚拟卡或通过 Stripe Link 支付
- 基于 1Password 的登录
每个 Instinct 用户还拥有自己的电脑(E2B 提供的沙盒或虚拟机):这对命令执行和文件系统很重要(比如它会即兴写一个 bash 脚本来订酒店,并在沙盒中安全执行)。当然,整个 harness 应该并不都运行在沙盒里(沙盒非常贵,约每小时 0.13 美元),智能体循环(包括所有警报/自动化)应该运行在他们的后端服务器上
## 5. 自动化/警报:主动出击
“自动化”是每家智能体初创公司都承诺过的功能之一。大多数智能体初创公司在 UI 里塞了“自动化智能体”,把整个定时任务计划暴露出来,让它看起来像一个工作流(这又给消费者增加了任务)。但残酷的真相是:没有消费者真的想要自己的生活被自动化,他们只是想被取悦(也就是获得“事情被神奇地办好了”的多巴胺快感)

此外,自动化还会产生大量噪音,因为大多数时候并没有什么值得通知用户的东西。Instinct 把自动化做成了一个更隐藏的功能或后台任务——它不制造噪音,只在有真正洞见时才提醒你

不像其他自动化工具那样当场写整个代码,Instinct 这里有一种预构建的模板(比如只需在工具上输入要检查的网站、把网页抓取频率设为 12 小时,30 秒内就创建好了)。而且它不是确定性的自动循环,而是在每个环节都使用 LLM,并将其分解为三个主要工作:
1. 找到有用的事情去做(目标)
2. 决定何时重新查看(唤醒条件)
3. 决定是否打断/提醒(警报规则)
这种工作分离帮助用户区分信号和噪音,让它看起来非常贴心

# 6. 多人智能体:网络
Instinct 称之为“信任人网络”(Trusted Person Network),我个人觉得这很令人兴奋,因为这是迈向真正“网络效应”的第一步。我真的用这个功能和朋友一起规划了一次旅行,非常有趣,因为它已经知道我的限制条件,减少了不必要的来回沟通(因为 Instinct 被设计为减少噪音)

关键是:在你的网络中共享你的“上下文”。我猜想,会有不同的“信任级别”,信任越高,共享的上下文越多(让我们看看他们如何将共享上下文的数量产品化——我猜会是不同级别的范围权限)

这帮助 Instinct 自举出一个天然社交图谱(类似 Instagram),这就成了真正的护城河,因为用户的切换成本现在变高了(他们已经在这里形成了网络)
## Instinct 接下来可能做什么?
1. 更快:虽然 Instinct 已经很快,但 Muse 的速度让所有人惊叹。速度对消费者来说是决定性因素:大多数人只是切换到别的应用去等 AI 回复,然后就把最初的意图/任务忘掉了。我猜 Instinct 已经在采购算力以实现更快的推理
2. 移动应用:虽然 iMessage/WhatsApp 是很好的起点,但专用应用有助于留存/参与度,也能让 Instinct 在生成式 UI 方面做更多实验(因为为每件事都创建可分享链接的体验很差)。此外,移动应用还支持专用浏览器视图:这能减轻焦虑(用户可以验证正在发生什么),并给用户一个留在聊天里的理由

(这是 Muse 在查看 Airbnb,用户可以直接验证可视化内容)
## 但 Instinct 值得 100 亿美元吗?
个人智能体的软件栈运行成本相当高——从 LLM 到沙盒/虚拟机再到自动化服务器——所以他们需要尽快解决变现问题,否则就会成为下一个“Clubhouse”。目前作为一家尚无营收的初创公司,变现将是最大的挑战。但我猜会通过(或组合):- 广告(来自合作伙伴的高度个性化推荐)- 支付/商务(通过 Stripe 抽成或拥有自己的钱包)- 订阅(高级功能)。关键是首先要让资金流经由他们完成。他们已经有 10 亿美元以上的年度商务交易额,并想从中抽成(可能在 2% 到 20% 之间)。如果他们推出类似 Amex 的卡片,Instinct 变成一个内置独家商户网络的礼宾服务,我不会感到惊讶——[Instinct selections](https://x.com/noahrshinn/status/2105078482581774818?s=20)(比如由本地主厨策划)就是朝这个方向迈出的好一步。Instinct 的创始人 Noah 明确希望 Instinct 永远免费,只从交易手续费中变现。最重要的是,他们要面对的是:
1. 拥有 Meta 分发渠道(Instagram、WhatsApp、Facebook)的 Muse,拥有自研 LLM/数据中心层 + 900 亿美元现金储备可供实验,且扎克伯格全面押注
2. 拥有 X/马斯克分发渠道和自研 LLM/数据中心层的 Grokbot
3. 拥有 ChatGPT 分发渠道 + 自研最强前沿 LLM 层的 ChatGPT dots
虽然大型科技公司在这场赢家通吃的市场中拥有巨大优势,但看到一家年轻的初创公司 Instinct 表现如此出色、并在这个巨大市场中成为所有人的最爱,实在令人振奋!
> **Olivia@oliviaalevine**: [原文链接](https://x.com/oliviaalevine/status/2095705075633000815)
>
> 我男友和我昨晚登上了美网的大屏幕,他想要那段视频。我告诉他不可能,但我说我会问问 Instinct,反正试试也无妨。当然,Instinct 在 18 小时内就帮我们拿到了视频。
> 以下是他做的(1/5)
>
> 
> 就这些了!感谢阅读——如果你觉得有帮助,请分享给你的 Instinct 粉丝朋友们!如果你想讨论任何关于个人智能体的话题(或者我们在 [@suzitrade](https://x.com/@suzitrade) 是如何思考为交易/投资解决同样问题的),欢迎联系我!
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*导出时间: 2026/10/1 19:40:17*