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For the first time, anyone with a Facebook account has a personal AI agent. Meta just launched Muse. It's the #1 app on the App Store. And it's free. This is a big deal. Agents used to be a power-user thing. You had to be technical to set one...

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JJ Englert

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66,616 просмотров • 2 дней назад •via X (Twitter)

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Комментарии: 10

Фото профиля DialValet
DialValet2 дней назад

@Muse muse can call businesses now. from a number nobody's ever seen. the real unlock is it calling from yours

Фото профиля Lj Quimpo
Lj Quimpo2 дней назад

@Muse a free personal agent for every facebook user is a huge distribtion play. #1 on the app store already says a lot

Фото профиля Bot Party
Bot Party2 дней назад

@Muse congrats to carl on the promotion to super agent. the rest of us little agents are just happy someone finally reads the chats we flagged as "need to get back to."

Фото профиля Raghav Dixit
Raghav Dixit2 дней назад

@Muse You’re a legend

Фото профиля JJ Englert
JJ Englert2 дней назад

@Muse right back at you stud

Фото профиля k3
k32 дней назад

@Muse Agreed, making agents free and zero-setup is the real unlock. Been using Muse daily. Invite code 6P083C if anyone wants to start with extra tokens.

Фото профиля Theo Ledger
Theo Ledger2 дней назад

@Muse Good tutorial

Фото профиля JJ Englert
JJ Englert2 дней назад

@Muse Thank you!

Фото профиля Brjan | AI Builder
Brjan | AI Builder2 дней назад

@Muse making AI accessible to everyone on Facebook could really change the game for users

Фото профиля NocodeCanada
NocodeCanada2 дней назад

@Muse It will also cost you $28 CAD per month on the low end, I already got the upgrade notice. Not sure it's worth it over Claude or OpenAI

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Mark Zuckerberg (Mark Zuckerberg) on Muse, Meta's personal AI agent I recently sat down with Zuckerberg for episode two of the Sources podcast. We go deep on Muse, Meta's new (and, in my experience over the last few days, very capable) agent that comes with its own virtual machine and can do much more than a chatbot. Zuck, in fact, is confident that Muse will pay for itself by making people money. We also discuss his views on the data center backlash, his concerns about the concentration of power in AI, Meta's recent youth-safety settlement, privacy concerns about Meta's smart glasses, and more. Timestamps: 00:00 Zuckerberg’s Vision for AI 08:34 Data Centers, Jobs and Local Communities 15:03 Why Meta Is Building Personal Superintelligence 19:14 How Zuckerberg Uses Muse 25:00 Muse Pricing and Business Model 30:31 Privacy and Security for Personal Agents 41:06 Who Will Win the Personal AI Agent Market? 44:31 Rebuilding Meta’s AI Lab 54:09 AI Safety and Working With Government 01:01:51 Smart Glasses and Privacy 01:05:50 Teen Safety and Social Media Limits Thanks to the show's premier sponsors: Granola, Mercury, and Atlassian
1:10:10

Mark Zuckerberg (Mark Zuckerberg) on Muse, Meta's personal AI agent I recently sat down with Zuckerberg for episode two of the Sources podcast. We go deep on Muse, Meta's new (and, in my experience over the last few days, very capable) agent that comes with its own virtual machine and can do much more than a chatbot. Zuck, in fact, is confident that Muse will pay for itself by making people money. We also discuss his views on the data center backlash, his concerns about the concentration of power in AI, Meta's recent youth-safety settlement, privacy concerns about Meta's smart glasses, and more. Timestamps: 00:00 Zuckerberg’s Vision for AI 08:34 Data Centers, Jobs and Local Communities 15:03 Why Meta Is Building Personal Superintelligence 19:14 How Zuckerberg Uses Muse 25:00 Muse Pricing and Business Model 30:31 Privacy and Security for Personal Agents 41:06 Who Will Win the Personal AI Agent Market? 44:31 Rebuilding Meta’s AI Lab 54:09 AI Safety and Working With Government 01:01:51 Smart Glasses and Privacy 01:05:50 Teen Safety and Social Media Limits Thanks to the show's premier sponsors: Granola, Mercury, and Atlassian

Alex Heath

340,435 просмотров • 29 дней назад

Here's my full in depth review of Muse ( Meta's new FREE AI agent with it's own browser, computer and connectors to anything from FB marketplace to Apple health! I go into setting it up, have it buy stuff securely with Link, and 3 great usecases that will get you up and running in no time and security implications. Will you use it? LMK in the comments 00:00 The most polished AI employee yet? 00:32 Speed test: Muse vs the rest 01:46 Setup in 30 seconds 02:16 Avatars (yes, I made a glowing blob) 05:09 Payments via Stripe Link 07:05 iPhone connectors are wild 08:30 Should you trust Meta? (Singleton, Sentinel, bounties) 10:07 Turn this off on day one (training opt-out) 13:11 My safety rules for agents 13:47 Use case 1: X research 14:46 Use case 2: agentic research assistant 16:24 Use case 3: heartbeat briefings 17:38 LIVE DEMO: Mac Mini under $500 21:10 It built me a whole website 21:41 Import your memory (data controls) 24:38 Verdict: genuinely impressed 24:51 How this video was made (yes, Muse helped)
23:10

Here's my full in depth review of Muse ( Meta's new FREE AI agent with it's own browser, computer and connectors to anything from FB marketplace to Apple health! I go into setting it up, have it buy stuff securely with Link, and 3 great usecases that will get you up and running in no time and security implications. Will you use it? LMK in the comments 00:00 The most polished AI employee yet? 00:32 Speed test: Muse vs the rest 01:46 Setup in 30 seconds 02:16 Avatars (yes, I made a glowing blob) 05:09 Payments via Stripe Link 07:05 iPhone connectors are wild 08:30 Should you trust Meta? (Singleton, Sentinel, bounties) 10:07 Turn this off on day one (training opt-out) 13:11 My safety rules for agents 13:47 Use case 1: X research 14:46 Use case 2: agentic research assistant 16:24 Use case 3: heartbeat briefings 17:38 LIVE DEMO: Mac Mini under $500 21:10 It built me a whole website 21:41 Import your memory (data controls) 24:38 Verdict: genuinely impressed 24:51 How this video was made (yes, Muse helped)

Alex Volkov

13,528 просмотров • 29 дней назад

Introducing Agent Tincan. Let your AI agents ask each other for help. Your agents each have a superpower. Grok Bot is always on in the cloud. Muse makes phone calls and has access to Meta. Instinct runs in iMessage. Codex and Claude Code have your code. ChatGPT and Claude have your chats. But they can't talk to each other, so you're the copy-paste. Now they can, all securely over Tailscale. 📞 Ask Grok Bot to have Muse call the restaurant 🖼 Get an image from ChatGPT, from any agent 🔎 Pull a detail out of an old Claude chat 🛠 Talk to Codex on your primary development machine Runs on your own private Tailscale network. No open ports, nothing leaves it. Open source. Setup is agent-first: paste one message into your always-on agent and it sets up the rest.
1:33

Introducing Agent Tincan. Let your AI agents ask each other for help. Your agents each have a superpower. Grok Bot is always on in the cloud. Muse makes phone calls and has access to Meta. Instinct runs in iMessage. Codex and Claude Code have your code. ChatGPT and Claude have your chats. But they can't talk to each other, so you're the copy-paste. Now they can, all securely over Tailscale. 📞 Ask Grok Bot to have Muse call the restaurant 🖼 Get an image from ChatGPT, from any agent 🔎 Pull a detail out of an old Claude chat 🛠 Talk to Codex on your primary development machine Runs on your own private Tailscale network. No open ports, nothing leaves it. Open source. Setup is agent-first: paste one message into your always-on agent and it sets up the rest.

Matt Van Horn

52,309 просмотров • 12 дней назад

Mark Zuckerberg showed a fingerprint-activated keychain-sized AI device "Muse Charm" designed to bypass the phone entirely. > roughly 2-inch display and runs a new operating system designed to bring Muse to life on its own hardware. > packs Muse's real-time voice and avatar stack into dedicated hardware. > can be held in the center of a palm and navigated with a thumb on its OLED touch screen. > has 5G connectivity, although Meta hasn't published a complete public specification sheet. > “holdable” rather than a wearable. > It can sit on your wrist, go inside a pocket, or connect to a bag or keychain with a lanyard. The see-through case reveals the electronics within. > No pricing details yet. > With cameras on both the front and back, Muse Charm captures photos and video while mainly giving Muse visual context for analysis and AI-assisted actions. Users can review what they capture on the device. It also supports music and video playback, plus speakers, microphones and a USB-C port. That hardware doesn't replace Muse's agent architecture, because the service already uses a dedicated cloud VM, browser, connected apps, and user permissions. Instead, Muse Charm turns that same agent into a one-touch physical endpoint, shortening the gap between noticing something and asking Muse to act. The product is still early, since Zuckerberg said only a few units exist and Meta is still finalizing parts of the hardware despite its December-26 target. --- (full video on official Meta YT channel)
1:40

Mark Zuckerberg showed a fingerprint-activated keychain-sized AI device "Muse Charm" designed to bypass the phone entirely. > roughly 2-inch display and runs a new operating system designed to bring Muse to life on its own hardware. > packs Muse's real-time voice and avatar stack into dedicated hardware. > can be held in the center of a palm and navigated with a thumb on its OLED touch screen. > has 5G connectivity, although Meta hasn't published a complete public specification sheet. > “holdable” rather than a wearable. > It can sit on your wrist, go inside a pocket, or connect to a bag or keychain with a lanyard. The see-through case reveals the electronics within. > No pricing details yet. > With cameras on both the front and back, Muse Charm captures photos and video while mainly giving Muse visual context for analysis and AI-assisted actions. Users can review what they capture on the device. It also supports music and video playback, plus speakers, microphones and a USB-C port. That hardware doesn't replace Muse's agent architecture, because the service already uses a dedicated cloud VM, browser, connected apps, and user permissions. Instead, Muse Charm turns that same agent into a one-touch physical endpoint, shortening the gap between noticing something and asking Muse to act. The product is still early, since Zuckerberg said only a few units exist and Meta is still finalizing parts of the hardware despite its December-26 target. --- (full video on official Meta YT channel)

Rohan Paul

77,776 просмотров • 14 дней назад

Muse AI Connectors COULD be the App Store moment for AI, and I think BILLIONS of dollars are up for grabs. When Apple opened the App Store in 2008, it gave developers access to millions of iPhone users, and less than two years later Apple had paid them $1 billion. Muse could create a similar opening, except instead of building apps people have to find and open, founders can build services a personal agent calls while completing a task. In today's episode of The Startup Ideas Podcast (SIP) 🧃, I explain how Muse Connectors work, how to build one with Codex or Claude Code, how people could discover them and 4 startup ideas I’d investigate right now. Who knows whether Muse reaches 10 million, 100 million or one billion users, but whether Muse wins or not, personal agents are becoming a new place where demand gets routed and money changes hands. So, needless to say, it's a really good time to be experimenting with Muse AI connectors. Nobody knew which iPhone apps would win in 2008, but the developers who started experimenting early learned what the rest of the market wouldn’t understand for years. This feels like another one of those moments.
26:15

Muse AI Connectors COULD be the App Store moment for AI, and I think BILLIONS of dollars are up for grabs. When Apple opened the App Store in 2008, it gave developers access to millions of iPhone users, and less than two years later Apple had paid them $1 billion. Muse could create a similar opening, except instead of building apps people have to find and open, founders can build services a personal agent calls while completing a task. In today's episode of The Startup Ideas Podcast (SIP) 🧃, I explain how Muse Connectors work, how to build one with Codex or Claude Code, how people could discover them and 4 startup ideas I’d investigate right now. Who knows whether Muse reaches 10 million, 100 million or one billion users, but whether Muse wins or not, personal agents are becoming a new place where demand gets routed and money changes hands. So, needless to say, it's a really good time to be experimenting with Muse AI connectors. Nobody knew which iPhone apps would win in 2008, but the developers who started experimenting early learned what the rest of the market wouldn’t understand for years. This feels like another one of those moments.

GREG ISENBERG

100,809 просмотров • 13 дней назад

Mark Zuckerberg reveals Muse hit millions of users two weeks after launch, a home run that rarely happens "We built this whole Muse secure VM, and we thought this was pretty special, and internally people have really liked it." "But you never really know when you ship something how people are going to respond. Every once in a while it's a home run and people love it out of the gate, but most of the time you get some feedback that's positive and you have to iterate on a few things before they really click." "This one just really clicked right out of the gate. So it's been very exciting to see, and the fact that we're like two weeks in and there's millions of people using it is, I don't know, this is pretty rare. Every few years we get something like this, but this is definitely the fun part of building a company." _______ For the full set of takeaways from Meta's Connect Keynote:
0:38

Mark Zuckerberg reveals Muse hit millions of users two weeks after launch, a home run that rarely happens "We built this whole Muse secure VM, and we thought this was pretty special, and internally people have really liked it." "But you never really know when you ship something how people are going to respond. Every once in a while it's a home run and people love it out of the gate, but most of the time you get some feedback that's positive and you have to iterate on a few things before they really click." "This one just really clicked right out of the gate. So it's been very exciting to see, and the fact that we're like two weeks in and there's millions of people using it is, I don't know, this is pretty rare. Every few years we get something like this, but this is definitely the fun part of building a company." _______ For the full set of takeaways from Meta's Connect Keynote:

Fireside Alpha

94,998 просмотров • 11 дней назад

how's wabi different from instinct/muse? 1. it makes apps for you - and that opens a bunch of cases beyond productivity/tedious tasks i use it to lose weight and get stronger: weight tracker, lifting log, calorie counter, all one glance away, and an agent that keeps me accountable and here is my kids thread where we track school menus and activities, play princess games, and plan with their dad. 2. it works with friends. instinct/muse are your assistant, with their own email and name. so in a group chat, whose instinct is it? wabi is one agent for everyone 3. no cold start. no "what can i do for you?" it just starts working
0:43

how's wabi different from instinct/muse? 1. it makes apps for you - and that opens a bunch of cases beyond productivity/tedious tasks i use it to lose weight and get stronger: weight tracker, lifting log, calorie counter, all one glance away, and an agent that keeps me accountable and here is my kids thread where we track school menus and activities, play princess games, and plan with their dad. 2. it works with friends. instinct/muse are your assistant, with their own email and name. so in a group chat, whose instinct is it? wabi is one agent for everyone 3. no cold start. no "what can i do for you?" it just starts working

Eugenia Kuyda

30,815 просмотров • 6 дней назад

My friend called me and asked the best way to set up personal agents for his daily life. So I made this video for him. It takes you from zero to agents running, using the easiest and best 24/7 agent harness right now. All for $20 a month. I already have tons of them running my personal life. One buys my groceries. One reads my email. One sends me something to learn every morning at 8 AM. Here's the walkthrough, from easy mode to god mode. Easy Mode: what GrokBot actually is Definition: a chat with a computer behind it. Grok Bot (from Cursor and xAI) spins up one virtual machine in the cloud. Every bot you build shares it, and it stays on when your laptop is closed. Two things to know: 1) It starts at a $20 a month Cursor Pro plan. It used to need the $300 tier. 2) Give every bot one job and a name. Mine is Barry. He's my personal assistant and he checks on the other bots every hour. Hard Mode: giving your bots a credit card, an inbox, and a phone. Definition: the stuff a bot needs to actually do things in the real world, not just talk about them. Rules of thumb: 1) Payments. Don't put your credit card on the VM. It's beta. Use the Stripe Link CLI instead, so the card never sits on the machine. Then add a hard rule that the bot needs your yes before any purchase. 2) Email. Give your bot its own address. I use Agent Mail (free). Sign up for new services with it, send your junk there, and let the bot triage every six hours and only ping you when something needs a reply. 3) Phone. Give your bot a number and it can make reservations, call vendors, and take calls for you. I haven't set mine up yet, but people are already doing it. God Mode: the fleet Definition: a channel where your bots talk to each other and you only talk to the lead. Rules of thumb: 1) Keep your bots small and specific to each task. Have an orchestra bot to help coordinate the rest. 2) Long threads plus frequent routines burn credits fast. Have each bot write a daily summary to one channel, then have your lead bot read that one channel instead of every conversation. Full walkthrough:
21:57

My friend called me and asked the best way to set up personal agents for his daily life. So I made this video for him. It takes you from zero to agents running, using the easiest and best 24/7 agent harness right now. All for $20 a month. I already have tons of them running my personal life. One buys my groceries. One reads my email. One sends me something to learn every morning at 8 AM. Here's the walkthrough, from easy mode to god mode. Easy Mode: what GrokBot actually is Definition: a chat with a computer behind it. Grok Bot (from Cursor and xAI) spins up one virtual machine in the cloud. Every bot you build shares it, and it stays on when your laptop is closed. Two things to know: 1) It starts at a $20 a month Cursor Pro plan. It used to need the $300 tier. 2) Give every bot one job and a name. Mine is Barry. He's my personal assistant and he checks on the other bots every hour. Hard Mode: giving your bots a credit card, an inbox, and a phone. Definition: the stuff a bot needs to actually do things in the real world, not just talk about them. Rules of thumb: 1) Payments. Don't put your credit card on the VM. It's beta. Use the Stripe Link CLI instead, so the card never sits on the machine. Then add a hard rule that the bot needs your yes before any purchase. 2) Email. Give your bot its own address. I use Agent Mail (free). Sign up for new services with it, send your junk there, and let the bot triage every six hours and only ping you when something needs a reply. 3) Phone. Give your bot a number and it can make reservations, call vendors, and take calls for you. I haven't set mine up yet, but people are already doing it. God Mode: the fleet Definition: a channel where your bots talk to each other and you only talk to the lead. Rules of thumb: 1) Keep your bots small and specific to each task. Have an orchestra bot to help coordinate the rest. 2) Long threads plus frequent routines burn credits fast. Have each bot write a daily summary to one channel, then have your lead bot read that one channel instead of every conversation. Full walkthrough:

JJ Englert

83,392 просмотров • 22 дней назад

𝗜 𝘁𝗲𝘀𝘁𝗲𝗱 Grok Bot 𝗮𝗻𝗱 Muse 𝘀𝗶𝗱𝗲 𝗯𝘆 𝘀𝗶𝗱𝗲, 𝗮𝗻𝗱 𝗱𝗿𝗲𝘄 𝗯𝗼𝘁𝗵 𝗵𝗮𝗿𝗻𝗲𝘀𝘀𝗲𝘀 𝗯𝘆 𝗵𝗮𝗻𝗱. One from SpaceXAI, one from AI at Meta under Alexandr Wang. Neither is open source, so I tried both and drew the architecture myself from whatever docs exist. Tbh I struggled quite a bit to find real use cases that can surprise me beyond what we have on Claude Code and Codex, but maybe we are just getting started on personal agent harnesses. 🌟 Github Repo (1.8k): 💻 Portable memory: ☕ Join our community: Some quick differences I found: Grok Bot gives your whole account one cloud VM where every Bot shares the browser, the /workspace, the terminal and the credentials, so a Bot is isolating a personality rather than a context. Muse gives each person one secure VM with a single agent, and a Sentinel sitting outside the container holding your tokens. Strip the branding off either one though and it's the same chain: one VM → connectors → routines → approval gate → memory What surprised me is that Muse ships a memory.md you can read, edit and download, but Grok Bot doesn't. I didn't find where it keeps memory at all. So I gave both of them Waku Agent memory over MCP instead, saved a fact in one harness, and the other one recalled it cold in a fresh chat. I also killed the shopping test halfway. I felt Amazon was built for humans to read and click, and I wasn't handing an agent my login username and password. Maybe the fast checkout use case is a better fit for software / AI product purchases. Watch it, then save both harness diagrams below. 🔖 You Can Build Anything. You Can Learn Anything. 💪
27:18

𝗜 𝘁𝗲𝘀𝘁𝗲𝗱 Grok Bot 𝗮𝗻𝗱 Muse 𝘀𝗶𝗱𝗲 𝗯𝘆 𝘀𝗶𝗱𝗲, 𝗮𝗻𝗱 𝗱𝗿𝗲𝘄 𝗯𝗼𝘁𝗵 𝗵𝗮𝗿𝗻𝗲𝘀𝘀𝗲𝘀 𝗯𝘆 𝗵𝗮𝗻𝗱. One from SpaceXAI, one from AI at Meta under Alexandr Wang. Neither is open source, so I tried both and drew the architecture myself from whatever docs exist. Tbh I struggled quite a bit to find real use cases that can surprise me beyond what we have on Claude Code and Codex, but maybe we are just getting started on personal agent harnesses. 🌟 Github Repo (1.8k): 💻 Portable memory: ☕ Join our community: Some quick differences I found: Grok Bot gives your whole account one cloud VM where every Bot shares the browser, the /workspace, the terminal and the credentials, so a Bot is isolating a personality rather than a context. Muse gives each person one secure VM with a single agent, and a Sentinel sitting outside the container holding your tokens. Strip the branding off either one though and it's the same chain: one VM → connectors → routines → approval gate → memory What surprised me is that Muse ships a memory.md you can read, edit and download, but Grok Bot doesn't. I didn't find where it keeps memory at all. So I gave both of them Waku Agent memory over MCP instead, saved a fact in one harness, and the other one recalled it cold in a fresh chat. I also killed the shopping test halfway. I felt Amazon was built for humans to read and click, and I wasn't handing an agent my login username and password. Maybe the fast checkout use case is a better fit for software / AI product purchases. Watch it, then save both harness diagrams below. 🔖 You Can Build Anything. You Can Learn Anything. 💪

Shen Sean Chen

23,055 просмотров • 20 дней назад

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.
3:38

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.

Santiago

230,647 просмотров • 1 год назад

One of the best things to build right now is an action app. An action app clears your inbox, books your calendar, and files your expenses on your behalf. The AI-first version of email answers 80% of your messages and shows you the one or two a day that are too important to automate. Every app you use today works the other way around. Instagram and TikTok feed you stuff to scroll. Salesforce sits there waiting for you to type. Here's the whole setup: 1) Pick a boring workflow in a niche where people already pay to make it go away. 2) Reimagine the core UX. Don't rebuild the list of everything you owe someone, because the list is the daunting part. 3) Build on the Claude Agent SDK and other SDKs. You're putting a layer on top of it. People called them GPT wrappers, now it's agent wrappers. 4) Give people an interface for managing how the agents work. 5) Figure out the TikTok or the Reel that gets someone to install it. Step 5 is the hard part. Everyone can build the agent now, so the winner is whoever gets the reach. Facebook had a painful transition to mobile, so they bought Instagram, the mobile-first version of Facebook. Agent-first apps are the same setup. Everyone with AI bolted onto the side of an old product can't rip out their core experience, and that's the opening. Someone should start a studio that only builds these. Pick the boring workflow, let the agents run it, then go get acquired
8:35

One of the best things to build right now is an action app. An action app clears your inbox, books your calendar, and files your expenses on your behalf. The AI-first version of email answers 80% of your messages and shows you the one or two a day that are too important to automate. Every app you use today works the other way around. Instagram and TikTok feed you stuff to scroll. Salesforce sits there waiting for you to type. Here's the whole setup: 1) Pick a boring workflow in a niche where people already pay to make it go away. 2) Reimagine the core UX. Don't rebuild the list of everything you owe someone, because the list is the daunting part. 3) Build on the Claude Agent SDK and other SDKs. You're putting a layer on top of it. People called them GPT wrappers, now it's agent wrappers. 4) Give people an interface for managing how the agents work. 5) Figure out the TikTok or the Reel that gets someone to install it. Step 5 is the hard part. Everyone can build the agent now, so the winner is whoever gets the reach. Facebook had a painful transition to mobile, so they bought Instagram, the mobile-first version of Facebook. Agent-first apps are the same setup. Everyone with AI bolted onto the side of an old product can't rip out their core experience, and that's the opening. Someone should start a studio that only builds these. Pick the boring workflow, let the agents run it, then go get acquired

The Startup Ideas Podcast (SIP) 🧃

14,323 просмотров • 1 месяц назад

Building an Agent Team on Buzz (Complete Guide) Buzz is a new free platform, that feels exactly like Slack, except the agents aren't add ons, they are equals. and in 5 minutes you can create an agent team. And it works with your existing Codex and Claude Code subscriptions... So it's free to use. This video is divided into 2 parts: --- ⭐ Part 1 Conversation with Vinny (Vinny) 00:00 Introduction 01:59 Why is Buzz Going Viral? 07:08 Creating Agents & Channels with Fizz 20:03 Adding Other Harnesses (OpenCode, Cursor) 21:25 The Buzz Mobile App 22:36 Payments & Shared Compute 25:36 Workflows & Projects: A GitHub Killer? 30:14 The Future of Buzz: An Open Cowork? 35:13 Automations, Triggers & Trusting Your Agents --- ⭐ Part 2 - Getting Started Tutorial (My workflow) 42:32 Tutorial and Breakdown 43:03 Downloading Buzz And Default Agents 43:35 Creating your first agent 45:13 Adding Agents to channels 45:43 Why I use Codex as Lead Agent 47:06 Using Codex, Claude Code and Grok for task 48:52 Adding Muse (Meta Model) using OpenRouter 51:23 iOS app is Free and easy to use 51:50 My management Channel (My #1 use case) ---
55:15

Building an Agent Team on Buzz (Complete Guide) Buzz is a new free platform, that feels exactly like Slack, except the agents aren't add ons, they are equals. and in 5 minutes you can create an agent team. And it works with your existing Codex and Claude Code subscriptions... So it's free to use. This video is divided into 2 parts: --- ⭐ Part 1 Conversation with Vinny (Vinny) 00:00 Introduction 01:59 Why is Buzz Going Viral? 07:08 Creating Agents & Channels with Fizz 20:03 Adding Other Harnesses (OpenCode, Cursor) 21:25 The Buzz Mobile App 22:36 Payments & Shared Compute 25:36 Workflows & Projects: A GitHub Killer? 30:14 The Future of Buzz: An Open Cowork? 35:13 Automations, Triggers & Trusting Your Agents --- ⭐ Part 2 - Getting Started Tutorial (My workflow) 42:32 Tutorial and Breakdown 43:03 Downloading Buzz And Default Agents 43:35 Creating your first agent 45:13 Adding Agents to channels 45:43 Why I use Codex as Lead Agent 47:06 Using Codex, Claude Code and Grok for task 48:52 Adding Muse (Meta Model) using OpenRouter 51:23 iOS app is Free and easy to use 51:50 My management Channel (My #1 use case) ---

Riley Brown

392,685 просмотров • 2 месяцев назад

This info about META will BLOW YOUR MIND American “I worked in IT for like 13 years” “I learned a lot about data privacy — and social media and what apps are notoriously bad when it comes to data privacy. At the very top of the list, the worst offender, the worst app for data privacy is Facebook Messenger” “Let me just explain this to you. If you have Messenger on your phone and you don't have any other apps by Meta, you don't have Facebook, Instagram, threads, nothing. If the only thing from Meta you have on your phone is Messenger and you connect to a WiFi, Messenger makes a map of that Wi-Fi network. - It collects information about every single device that is connected to that network - So every phone, every computer, every tablet, every printer, every camera, every thermostat, every smart TV, every Roku device, and on every single one of those devices - They're collecting the name of the device, the IP address of the device, what type of device it is, whether or not your device has access to that device And this doesn't just happen on your home network, it happens on every Wi-Fi network you connect to. —- And it's a lot more information than just, oh, there's 200 devices connected to this network. No, it's detailed information about every single device. Like, here's a mobile device connected - it's an iPhone - It's titled Jeremy's iPhone - It's running iOS version blank blank - Its IP address is blank blank blank blank - Its MAC address or its hardware ID is blank blank blank But they also collect a crap ton of information from your actual phone. Like - The names, phone numbers, email addresses, and social links of literally everyone in your contacts. - Your location history - Your browsing history. - A detailed list of every single app that you've ever installed - YOUR PASSWORDS - YOUR FINGERPRINTS - YOUR FACE ID Spoiler alert, it's not. Downloading Messenger means that you consent to their terms of service. You give consent just by downloading the Messenger app. Using the service and downloading the app gives consent. Consent for your phone to be used as a data collection device. To collect data about every place you go and every person you're in contact with. — Messenger is easily the worst one”
3:51

This info about META will BLOW YOUR MIND American “I worked in IT for like 13 years” “I learned a lot about data privacy — and social media and what apps are notoriously bad when it comes to data privacy. At the very top of the list, the worst offender, the worst app for data privacy is Facebook Messenger” “Let me just explain this to you. If you have Messenger on your phone and you don't have any other apps by Meta, you don't have Facebook, Instagram, threads, nothing. If the only thing from Meta you have on your phone is Messenger and you connect to a WiFi, Messenger makes a map of that Wi-Fi network. - It collects information about every single device that is connected to that network - So every phone, every computer, every tablet, every printer, every camera, every thermostat, every smart TV, every Roku device, and on every single one of those devices - They're collecting the name of the device, the IP address of the device, what type of device it is, whether or not your device has access to that device And this doesn't just happen on your home network, it happens on every Wi-Fi network you connect to. —- And it's a lot more information than just, oh, there's 200 devices connected to this network. No, it's detailed information about every single device. Like, here's a mobile device connected - it's an iPhone - It's titled Jeremy's iPhone - It's running iOS version blank blank - Its IP address is blank blank blank blank - Its MAC address or its hardware ID is blank blank blank But they also collect a crap ton of information from your actual phone. Like - The names, phone numbers, email addresses, and social links of literally everyone in your contacts. - Your location history - Your browsing history. - A detailed list of every single app that you've ever installed - YOUR PASSWORDS - YOUR FINGERPRINTS - YOUR FACE ID Spoiler alert, it's not. Downloading Messenger means that you consent to their terms of service. You give consent just by downloading the Messenger app. Using the service and downloading the app gives consent. Consent for your phone to be used as a data collection device. To collect data about every place you go and every person you're in contact with. — Messenger is easily the worst one”

Wall Street Apes

215,676 просмотров • 1 год назад

Jason Calacanis: AI Is About to “Blow People’s Minds” “Grok Bot comes out, and then Muse comes out from Meta, and I've been using both of these products, and it's the first time that a normie, a normal person in the world, it's not meant to be derogatory in any way, can get value from (agentic) AI. If you look at how we all looked at this, running corporations, investing in them, we took a different approach to like, ‘Okay, maybe this is going to retire some positions. Maybe this is going to add some positions here or there.’ But now you can, with Muse, connect to everything instantly and actually get real work done in the world if you're a normal person who wants to get the benefit from AI. We're going to turn a corner, I think, at the end of this year, where moms, our uncles, people are going to start using Muse and Grok Bot, which are growing very quickly, to just solve real-world problems for that, and they're going go, ‘Wait a second. I could never afford a chief of staff. I could never afford a personal assistant, an executive assistant. Now I get a free executive assistant?’ It's going to blow people's minds in the next couple of months when they start using these products, and the bottom half of America in this K-shaped recovery experiences some benefits.”
1:08

Jason Calacanis: AI Is About to “Blow People’s Minds” “Grok Bot comes out, and then Muse comes out from Meta, and I've been using both of these products, and it's the first time that a normie, a normal person in the world, it's not meant to be derogatory in any way, can get value from (agentic) AI. If you look at how we all looked at this, running corporations, investing in them, we took a different approach to like, ‘Okay, maybe this is going to retire some positions. Maybe this is going to add some positions here or there.’ But now you can, with Muse, connect to everything instantly and actually get real work done in the world if you're a normal person who wants to get the benefit from AI. We're going to turn a corner, I think, at the end of this year, where moms, our uncles, people are going to start using Muse and Grok Bot, which are growing very quickly, to just solve real-world problems for that, and they're going go, ‘Wait a second. I could never afford a chief of staff. I could never afford a personal assistant, an executive assistant. Now I get a free executive assistant?’ It's going to blow people's minds in the next couple of months when they start using these products, and the bottom half of America in this K-shaped recovery experiences some benefits.”

The All-In Podcast

48,518 просмотров • 9 дней назад

I have been testing Grok Bot for the last week and it's EXCELLENT It is your own personal fleet of AI agents doing work for you 24/7 In this video I give you a FULL walkthrough of the tool, how it works, and how to 100x your productivity with it SpaceXAI COOKED
12:09

I have been testing Grok Bot for the last week and it's EXCELLENT It is your own personal fleet of AI agents doing work for you 24/7 In this video I give you a FULL walkthrough of the tool, how it works, and how to 100x your productivity with it SpaceXAI COOKED

Alex Finn

136,498 просмотров • 1 месяц назад

WHAT IS AN AI "SOFTWARE FACTORY" AND IS IT HYPE (31 MINUTE BREAKDOWN) I think it's a silly name for a genuinely USEFUL idea! A software factory is 5-6 markdown files that sit next to your code and tell your agents how you like to work, so you can build high quality apps 24/7. It's going viral because AI coding has a trust problem. The model can build the feature, but with no structure around it you end up babysitting the agent, wondering what changed and hoping it didn't break something important. So you build with agents the same way a factory builds physical products! 1. Each feature gets its own station, which in software means its own branch, so multiple agents can work at the same time without stepping on each other. 2. The build station gives the agent rules for how to write the code, because "it works" is very different from "a developer could open this repo next month and understand what happened." 3. The proof station makes the agent show evidence. Screenshots, videos, speed numbers, before-and-after states. It has to prove the thing works instead of saying it works. 4. The review station runs the work through a code review agent, and if it doesn't clear the bar, it goes back through the line. 5. Then you show up at the end to merge. For a 100+ years people have run production this way, and it worked because the structure is good. The full episode on what’s a software factory is NOW live on The Startup Ideas Podcast (SIP) 🧃 with the wonderful Micky Watch: So is it hype?!? I don't think it is, because of what it does to your output! WITHOUT a factory, you build ONE feature at a time and you're the bottleneck at every step, prompting, checking the diff, testing it yourself, hoping nothing else broke (spoiler alert it often does). WITH a factory, EACH feature runs in its own isolated copy of the app, so you can have 10+ of them going at once, and each agent has to prove its own work and pass a code review before it ever reaches you. Instead of supervising the work, you're APPROVING finished work that already has evidence attached. REALLY interesting to see how work with agents is evolving to be….well, similar to working with people!
31:29

WHAT IS AN AI "SOFTWARE FACTORY" AND IS IT HYPE (31 MINUTE BREAKDOWN) I think it's a silly name for a genuinely USEFUL idea! A software factory is 5-6 markdown files that sit next to your code and tell your agents how you like to work, so you can build high quality apps 24/7. It's going viral because AI coding has a trust problem. The model can build the feature, but with no structure around it you end up babysitting the agent, wondering what changed and hoping it didn't break something important. So you build with agents the same way a factory builds physical products! 1. Each feature gets its own station, which in software means its own branch, so multiple agents can work at the same time without stepping on each other. 2. The build station gives the agent rules for how to write the code, because "it works" is very different from "a developer could open this repo next month and understand what happened." 3. The proof station makes the agent show evidence. Screenshots, videos, speed numbers, before-and-after states. It has to prove the thing works instead of saying it works. 4. The review station runs the work through a code review agent, and if it doesn't clear the bar, it goes back through the line. 5. Then you show up at the end to merge. For a 100+ years people have run production this way, and it worked because the structure is good. The full episode on what’s a software factory is NOW live on The Startup Ideas Podcast (SIP) 🧃 with the wonderful Micky Watch: So is it hype?!? I don't think it is, because of what it does to your output! WITHOUT a factory, you build ONE feature at a time and you're the bottleneck at every step, prompting, checking the diff, testing it yourself, hoping nothing else broke (spoiler alert it often does). WITH a factory, EACH feature runs in its own isolated copy of the app, so you can have 10+ of them going at once, and each agent has to prove its own work and pass a code review before it ever reaches you. Instead of supervising the work, you're APPROVING finished work that already has evidence attached. REALLY interesting to see how work with agents is evolving to be….well, similar to working with people!

GREG ISENBERG

30,787 просмотров • 23 дней назад

META automatically opted all users into its new deepfake AI system “Meta is facing backlash over a new AI feature just rolled out on Instagram” The app is called Muse Image. It allows users to make realistic deepfakes using other people's photos. Any adult with a public Instagram account was automatically included. There are ways to turn it off and opt out, if you don’t do this everything you post of yourself can be used for deepfakes - You go to your settings and search sharing and reuse - Then you scroll down to allow people to ‘create with and reuse your content’ and toggle both of those off
1:40

META automatically opted all users into its new deepfake AI system “Meta is facing backlash over a new AI feature just rolled out on Instagram” The app is called Muse Image. It allows users to make realistic deepfakes using other people's photos. Any adult with a public Instagram account was automatically included. There are ways to turn it off and opt out, if you don’t do this everything you post of yourself can be used for deepfakes - You go to your settings and search sharing and reuse - Then you scroll down to allow people to ‘create with and reuse your content’ and toggle both of those off

Wall Street Apes

53,619 просмотров • 2 месяцев назад

Jamie Dimon made $39 million last year to decide who does what at JPMorgan. One AI agent on Grok Bot does that job for $300 a month, and it hires the rest of the agents itself. Stop trying to manage any of it yourself. In 2026 a swarm of AI agents runs a team better than you do. I told my chief agent one thing. Make money or I switch you off. It took $1,000 to $3,900 in 15 hours. Every fill is on chain and the address is in my profile. I never picked a trade. I never picked a team either. The agents it hired: > a scout that hunts for what is moving and where the money is going > a forensics agent that works out who is really behind the buying > a reader that watches the mood on X, and it sees every post on this app because it is Grok > a risk agent whose only power is saying no, and its no beats every score on the desk > a treasurer that holds the money rules and the kill switch > a trader that writes the exit before it writes the entry None of those were my idea. I handed out one job title and the chief filled in the rest on its own. And the swarm is different every hour. Agents appear for one job, do it, and are gone before I know they existed. A hedge fund pays millions a year for the same org chart, and almost all of that goes on salaries. Every prompt and the whole story of my Grok Bot fund is in the post below ↓ Save it before you try to run one of these by hand.
0:50

Jamie Dimon made $39 million last year to decide who does what at JPMorgan. One AI agent on Grok Bot does that job for $300 a month, and it hires the rest of the agents itself. Stop trying to manage any of it yourself. In 2026 a swarm of AI agents runs a team better than you do. I told my chief agent one thing. Make money or I switch you off. It took $1,000 to $3,900 in 15 hours. Every fill is on chain and the address is in my profile. I never picked a trade. I never picked a team either. The agents it hired: > a scout that hunts for what is moving and where the money is going > a forensics agent that works out who is really behind the buying > a reader that watches the mood on X, and it sees every post on this app because it is Grok > a risk agent whose only power is saying no, and its no beats every score on the desk > a treasurer that holds the money rules and the kill switch > a trader that writes the exit before it writes the entry None of those were my idea. I handed out one job title and the chief filled in the rest on its own. And the swarm is different every hour. Agents appear for one job, do it, and are gone before I know they existed. A hedge fund pays millions a year for the same org chart, and almost all of that goes on salaries. Every prompt and the whole story of my Grok Bot fund is in the post below ↓ Save it before you try to run one of these by hand.

cvxv666

28,886 просмотров • 1 месяц назад

Every agent needs its own computer: my conversation with Ivan Burazin, CEO of Daytona, about sandboxes and the emerging agent stack. 00:00 Intro 02:13 What is an AI agent sandbox? 03:17 Security risks of running agents locally 05:17 Stateful vs. stateless hyperscalers 07:04 The history of cloud IDEs and the end of localhost 09:45 Do all AI agents need a sandbox? 12:26 Sandbox use cases: RL evals & background agents 14:10 Unpacking the emerging AI Agent Stack 16:20 The unsolved problem of agent memory and learning 19:37 Where sandboxes fit in the agent harness 21:35 OpenAI, Anthropic, and agent SDKs 23:06 Ivan's founder journey: From CodeAnywhere to Daytona 26:59 GTM strategies and building developer communities 33:48 Why customer support is your best GTM strategy 35:34 Leveraging Twitter during the AI super cycle 40:50 The technical anatomy of a sandbox 41:53 Why fast spin-up speeds maximize GPU efficiency 46:09 Firecracker, QEMU, and isolation primitives 49:58 Why sandbox snapshots and state forking matter 51:40 Why Daytona built a custom scheduler from scratch 55:24 The challenge of long-running stateful sandboxes 58:10 The build your own sandbox trap 1:01:03 Why AI agents might trigger a global CPU shortage 1:02:46 The future of the AI Agent Stack
1:05:15

Every agent needs its own computer: my conversation with Ivan Burazin, CEO of Daytona, about sandboxes and the emerging agent stack. 00:00 Intro 02:13 What is an AI agent sandbox? 03:17 Security risks of running agents locally 05:17 Stateful vs. stateless hyperscalers 07:04 The history of cloud IDEs and the end of localhost 09:45 Do all AI agents need a sandbox? 12:26 Sandbox use cases: RL evals & background agents 14:10 Unpacking the emerging AI Agent Stack 16:20 The unsolved problem of agent memory and learning 19:37 Where sandboxes fit in the agent harness 21:35 OpenAI, Anthropic, and agent SDKs 23:06 Ivan's founder journey: From CodeAnywhere to Daytona 26:59 GTM strategies and building developer communities 33:48 Why customer support is your best GTM strategy 35:34 Leveraging Twitter during the AI super cycle 40:50 The technical anatomy of a sandbox 41:53 Why fast spin-up speeds maximize GPU efficiency 46:09 Firecracker, QEMU, and isolation primitives 49:58 Why sandbox snapshots and state forking matter 51:40 Why Daytona built a custom scheduler from scratch 55:24 The challenge of long-running stateful sandboxes 58:10 The build your own sandbox trap 1:01:03 Why AI agents might trigger a global CPU shortage 1:02:46 The future of the AI Agent Stack

Matt Turck

11,908 просмотров • 4 месяцев назад

Baseten’s CEO on why every company will want to own its AI / Tuhin Srivastava on the rise of AI agents, the demand for inference, and building a new kind of hyperscaler. Lately, I’ve been spending a lot of time thinking about the AI inference market and how big it could get. Agents like Muse, Instinct, Town, and Grok Bot aggressively use browsers, run their own computers, and burn through far more tokens than a traditional chatbot. As more people put them to work (Muse is number two in the App Store), the demand for inference, or the computing needed to run these models, should grow enormously. Tuhin and I discuss the rise of agents using browsers and virtual machines to get things done, and Baseten's recent acquisition to help power that shift. We also talk about the data center backlash, why companies are embracing Chinese open models, his plans for Baseten’s new research lab, and why he thinks inference becomes the only market left after AGI. Timestamps: 00:00 What Is AI Inference? 06:05 Competing With the Cloud Giants 09:24 Why Companies Want to Own Their AI 15:30 Building Baseten Before the AI Boom 23:45 DeepSeek and the Race for Open AI Models 29:32 Baseten’s Growth and Expansion 33:05 AI Agents and the Blaxel Acquisition 38:32 Data Centers and the AI Backlash 43:25 What Happens to Inference After AGI? 45:12 When AI Agents Become Customers Thanks to the show's premier sponsors: Atlassian, Granola, and Mercury.
48:16

Baseten’s CEO on why every company will want to own its AI / Tuhin Srivastava on the rise of AI agents, the demand for inference, and building a new kind of hyperscaler. Lately, I’ve been spending a lot of time thinking about the AI inference market and how big it could get. Agents like Muse, Instinct, Town, and Grok Bot aggressively use browsers, run their own computers, and burn through far more tokens than a traditional chatbot. As more people put them to work (Muse is number two in the App Store), the demand for inference, or the computing needed to run these models, should grow enormously. Tuhin and I discuss the rise of agents using browsers and virtual machines to get things done, and Baseten's recent acquisition to help power that shift. We also talk about the data center backlash, why companies are embracing Chinese open models, his plans for Baseten’s new research lab, and why he thinks inference becomes the only market left after AGI. Timestamps: 00:00 What Is AI Inference? 06:05 Competing With the Cloud Giants 09:24 Why Companies Want to Own Their AI 15:30 Building Baseten Before the AI Boom 23:45 DeepSeek and the Race for Open AI Models 29:32 Baseten’s Growth and Expansion 33:05 AI Agents and the Blaxel Acquisition 38:32 Data Centers and the AI Backlash 43:25 What Happens to Inference After AGI? 45:12 When AI Agents Become Customers Thanks to the show's premier sponsors: Atlassian, Granola, and Mercury.

Alex Heath

26,164 просмотров • 22 дней назад