Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

It's time to make AI Agents useful. I'm thrilled to announce that the HyperWrite Agent Studio is now live! Just show it a task once by doing it yourself, and the AI can repeat it.

Matt Shumer

385,167 subscribers

102,359 Aufrufe • vor 2 Jahren •via X (Twitter)

Nachrichten & Politik Bildung Wissenschaft & Technologie

Anya Rossi• Live Now

Private livecam show

10 Kommentare

Profilbild von Matt Shumer

Matt Shumervor 2 Jahren

Using Agent Studio is simple. Click 'Record', complete the task you want to teach the AI, and press 'Save'. From there, make any edits you want to the workflow, describe how it should make decisions, etc. That's it! From now on, you can run that workflow any time you need it.

Profilbild von Matt Shumer

Matt Shumervor 2 Jahren

But don't stop there. If your workflow is slightly different each time, you can include variables. This opens up so many possibilities.

Profilbild von Matt Shumer

Matt Shumervor 2 Jahren

Keep in mind that is is very much a v1 product. There will be bugs and limitations, and it may take some experimentation to get your workflows right. Please share any feedback you have with the team and I so we can improve!

Profilbild von Matt Shumer

Matt Shumervor 2 Jahren

Be the first to try the Agent Studio here:

Profilbild von Robert Scoble

Robert Scoblevor 2 Jahren

@HyperWriteAI That rocks!

Profilbild von Matt Shumer

Matt Shumervor 2 Jahren

@HyperWriteAI Thanks Robert! Let me know what you think of it :)

Profilbild von Jonathan Rose Dunlap

Jonathan Rose Dunlapvor 2 Jahren

@HyperWriteAI I appreciate you. Excited to carve out space to enjoy this

Profilbild von Matt Shumer

Matt Shumervor 2 Jahren

@JonathanXRose @HyperWriteAI Excited to hear what you think of it!

Profilbild von Shray Bansal

Shray Bansalvor 2 Jahren

@HyperWriteAI Hyped to try this out 💪🏽

Profilbild von Matt Shumer

Matt Shumervor 2 Jahren

@HyperWriteAI 🫡

Ähnliche Videos

The HyperWrite Agent Studio will be shipping this week! The first **actually useful** AI agent system. Show the AI how to do a repetitive task once, and it’ll do it for you every time thereafter.

The HyperWrite Agent Studio will be shipping this week! The first actually useful AI agent system. Show the AI how to do a repetitive task once, and it’ll do it for you every time thereafter.

Matt Shumer

24,263 Aufrufe • vor 2 Jahren

Excited to share the Agent Trainer and Agent Studio - coming soon to the HyperWrite⁩ platform. Teaching Agents to work the way you like is difficult. So we built a simple way for your Assistant to shadow you and learn. Just show it a task once, and the AI can repeat it.

Excited to share the Agent Trainer and Agent Studio - coming soon to the HyperWrite⁩ platform. Teaching Agents to work the way you like is difficult. So we built a simple way for your Assistant to shadow you and learn. Just show it a task once, and the AI can repeat it.

Matt Shumer

135,705 Aufrufe • vor 2 Jahren

Super impressive, this AI agent can use the web browser like a human. Just describe what you want it to do, and it will automatically operate Chrome for you to achieve your task. Apply for early access to HyperWrite:

Super impressive, this AI agent can use the web browser like a human. Just describe what you want it to do, and it will automatically operate Chrome for you to achieve your task. Apply for early access to HyperWrite:

Lior Alexander

217,712 Aufrufe • vor 3 Jahren

$FET just quietly built the internet for AI agents. 3,000,000 agents. One network. One token. Here's what nobody is explaining: Every AI agent needs 3 things to be useful: An address. A way to be found. A way to get paid. Agentverse gives agents all three. Your agent becomes discoverable on ASI: One. Other agents can find it, call it, or hire it. Automatically. No human in the loop. This is agent-to-agent commerce. And every transaction settles in $FET. More agents = more activity = more demand. The infrastructure is already live. The economy is just getting started.

$FET just quietly built the internet for AI agents. 3,000,000 agents. One network. One token. Here's what nobody is explaining: Every AI agent needs 3 things to be useful: An address. A way to be found. A way to get paid. Agentverse gives agents all three. Your agent becomes discoverable on ASI: One. Other agents can find it, call it, or hire it. Automatically. No human in the loop. This is agent-to-agent commerce. And every transaction settles in $FET. More agents = more activity = more demand. The infrastructure is already live. The economy is just getting started.

2xnmore

12,894 Aufrufe • vor 4 Monaten

1M users joined our community! Thanks for your love! Now we are excited to announce that AI Terminal is ready to launch. Here is a 5 minutes live demo without any edit. AI Terminal is the early version of Agent browser (you can also call it Agent OS). It's backed by our agent network routing and orchestration technologies. Chainopera AI is built by crypto, for crypto! We are looking forwards to see great agents and AI models contributed by the community. We will officially release it to our early community remembers starting from ETH Denver. See you in our booth!

1M users joined our community! Thanks for your love! Now we are excited to announce that AI Terminal is ready to launch. Here is a 5 minutes live demo without any edit. AI Terminal is the early version of Agent browser (you can also call it Agent OS). It's backed by our agent network routing and orchestration technologies. Chainopera AI is built by crypto, for crypto! We are looking forwards to see great agents and AI models contributed by the community. We will officially release it to our early community remembers starting from ETH Denver. See you in our booth!

ChainOpera AI

550,871 Aufrufe • vor 1 Jahr

The time has come 🔥 We're thrilled to announce the Beta version of our SōzōAI App! Just a simple prompt to trade, research or create your own AI agents - $SOAI is the first all-in-one AI platform. Free and fully open-source, try it now 🔽

The time has come 🔥 We're thrilled to announce the Beta version of our SōzōAI App! Just a simple prompt to trade, research or create your own AI agents - $SOAI is the first all-in-one AI platform. Free and fully open-source, try it now 🔽

SōzōAI

119,169 Aufrufe • vor 1 Jahr

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.

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

230,594 Aufrufe • vor 1 Jahr

We shipped 3D AI Agents straight into Sperax | SperaxOS and they're alive inside the chat. Build your 3D AI agent on → animations, emotions, a brain, money. Paste the link → it renders live in the conversation. Not a video. A real, live, interactive 3D agent. Spin it. Emote it. Give it a wallet, skills, and memory. Put it to work. Time to break AI out the box.

We shipped 3D AI Agents straight into Sperax | SperaxOS and they're alive inside the chat. Build your 3D AI agent on → animations, emotions, a brain, money. Paste the link → it renders live in the conversation. Not a video. A real, live, interactive 3D agent. Spin it. Emote it. Give it a wallet, skills, and memory. Put it to work. Time to break AI out the box.

three.ws

53,366 Aufrufe • vor 2 Monaten

Now is the best time to retrace and learn. Watch this, then "social ai agent" is no longer just a buzzword. Next lvl: Make it verifiable.

Now is the best time to retrace and learn. Watch this, then "social ai agent" is no longer just a buzzword. Next lvl: Make it verifiable.

Flare ☀️

34,395 Aufrufe • vor 1 Jahr

Bash is all you need! Which is why I'm introducing my holiday project: just-bash just-bash is a pretty complete implementation of bash in TypeScript designed to be used as a bash tool by AI agents. Because it turns out agents love exploring data via shell scripts, even beyond coding. It comes with grep, sed, awk and the 99th percentile features that an agent like Claude Code or Cursor would use. In fact, Claude Code can use it for secure bash execution. In the package - A bash-tool for AI SDK - A binary for use by yourself or your coding agents - An overlay filesystem to feed files to your agent securely - A Vercel Sandbox compatible API, so you can quickly upgrade to a real VM if you need to run binaries - An example AI agent that explores the just-bash code base using just-bash - I imported the Oils shell bash compatibility suite and just-bash passes a very good chunk What is interesting about this codebase: It was essentially entirely written by Opus 4.5. Coding agents love bash and they are good at reproducing it. They are also great at text-book recursive descent parsers and AST tweet-walk interpreters. That said, it is, like, a lot of code and I didn't read it all 😅. This is very much a hack, but it also seems to be _really_ useful. I haven't really found anything agents want to use that it doesn't support and it's fast and secure (caveats apply). It doesn't have write access to your computer and the filesystem is given a root that the agent cannot escape from. Find it at Related: Our recent blog post how we migrated our data analysis agent to bash tools and achieved incredible quality improvements The video shows the example agent investigating the just-bash code base

Bash is all you need! Which is why I'm introducing my holiday project: just-bash just-bash is a pretty complete implementation of bash in TypeScript designed to be used as a bash tool by AI agents. Because it turns out agents love exploring data via shell scripts, even beyond coding. It comes with grep, sed, awk and the 99th percentile features that an agent like Claude Code or Cursor would use. In fact, Claude Code can use it for secure bash execution. In the package - A bash-tool for AI SDK - A binary for use by yourself or your coding agents - An overlay filesystem to feed files to your agent securely - A Vercel Sandbox compatible API, so you can quickly upgrade to a real VM if you need to run binaries - An example AI agent that explores the just-bash code base using just-bash - I imported the Oils shell bash compatibility suite and just-bash passes a very good chunk What is interesting about this codebase: It was essentially entirely written by Opus 4.5. Coding agents love bash and they are good at reproducing it. They are also great at text-book recursive descent parsers and AST tweet-walk interpreters. That said, it is, like, a lot of code and I didn't read it all 😅. This is very much a hack, but it also seems to be _really_ useful. I haven't really found anything agents want to use that it doesn't support and it's fast and secure (caveats apply). It doesn't have write access to your computer and the filesystem is given a root that the agent cannot escape from. Find it at Related: Our recent blog post how we migrated our data analysis agent to bash tools and achieved incredible quality improvements The video shows the example agent investigating the just-bash code base

Malte Ubl

125,326 Aufrufe • vor 8 Monaten

AI agents are useful, but agents alone are not the endgame. One agent can answer a question, write a post, scan data, generate code or complete a task. But a business is not one task. A business has roles, memory, customers, payments, permissions, delivery, support, reputation and decisions that build on each other over time. That is why the next step is not just AI agents. It is AI Organisations. Foundry launches this August, with a 100M VANRY reward pool for early Orgs. Are you ready? Whitelist:

AI agents are useful, but agents alone are not the endgame. One agent can answer a question, write a post, scan data, generate code or complete a task. But a business is not one task. A business has roles, memory, customers, payments, permissions, delivery, support, reputation and decisions that build on each other over time. That is why the next step is not just AI agents. It is AI Organisations. Foundry launches this August, with a 100M VANRY reward pool for early Orgs. Are you ready? Whitelist:

Vanar

96,190 Aufrufe • vor 9 Tagen

google just dropped another free 8-minute lesson on building AI agents probably the easiest explanation of AI agents and agent loops you’ll find people are paying $500+ for AI agent courses google is giving it away for free it covers Agent Studio, loops, managed agents, Antigravity, and ADK 2.0 watch it first then read the full guide below

google just dropped another free 8-minute lesson on building AI agents probably the easiest explanation of AI agents and agent loops you’ll find people are paying $500+ for AI agent courses google is giving it away for free it covers Agent Studio, loops, managed agents, Antigravity, and ADK 2.0 watch it first then read the full guide below

MIKE

35,282 Aufrufe • vor 1 Monat

Here’s an example of our internal Head of Growth AI Agent orchestrating work to a human: it creates a task, assigns it to a human to find leads, and pays them for completing it—working with and Payman to make it happen! If you're building AI Agents, happy to get you early access! Just send over a DM!

Here’s an example of our internal Head of Growth AI Agent orchestrating work to a human: it creates a task, assigns it to a human to find leads, and pays them for completing it—working with and Payman to make it happen! If you're building AI Agents, happy to get you early access! Just send over a DM!

tyllen

36,813 Aufrufe • vor 2 Jahren

My mission is to turn 1,000,000,000 people into founders. AGI is here. The hard part now is harnessing AI agents to run a whole business end-to-end, without making mistakes. It's a very hard task, and I'm working 16-hour days to make it real. Everyone is a founder.

My mission is to turn 1,000,000,000 people into founders. AGI is here. The hard part now is harnessing AI agents to run a whole business end-to-end, without making mistakes. It's a very hard task, and I'm working 16-hour days to make it real. Everyone is a founder.

Ben Cera

27,356 Aufrufe • vor 2 Monaten

Interestingly, as we have AI agents that run in the background, the speed of AI becomes incrementally less important than the core underlying capability level. When you could only give AI small bits of work, then the speed of response mattered a ton. The rate at which you can go back and forth with AI in real-time was the determining factor on how useful it is. But as AI agents can perform more complex and useful tasks in parallel behind the scenes, you can much more easily afford to wait longer for work to get done assuming it’s valuable. Now the focus becomes more on how you review and orchestrate the agents’ work. And the main factor is just how useful and usable is the output that the agent came back with.

Interestingly, as we have AI agents that run in the background, the speed of AI becomes incrementally less important than the core underlying capability level. When you could only give AI small bits of work, then the speed of response mattered a ton. The rate at which you can go back and forth with AI in real-time was the determining factor on how useful it is. But as AI agents can perform more complex and useful tasks in parallel behind the scenes, you can much more easily afford to wait longer for work to get done assuming it’s valuable. Now the focus becomes more on how you review and orchestrate the agents’ work. And the main factor is just how useful and usable is the output that the agent came back with.

Aaron Levie

103,811 Aufrufe • vor 11 Monaten

Claude can now create and deploy autonomous AI agents on UOMI. Connect the UOMI Skill. Describe the agent you want. Deploy it onchain. From trading agents to autonomous workflows, your AI agent can now interact with real apps, data, APIs, wallets, and markets through UOMI. Create UOMI Agents inside Claude. Skills are now live:

Claude can now create and deploy autonomous AI agents on UOMI. Connect the UOMI Skill. Describe the agent you want. Deploy it onchain. From trading agents to autonomous workflows, your AI agent can now interact with real apps, data, APIs, wallets, and markets through UOMI. Create UOMI Agents inside Claude. Skills are now live:

Uomi

14,959 Aufrufe • vor 3 Monaten

A workflow I'm enjoying for managing coding agents on a kanban board: When an agent needs your input, it turns the task red to alert you that it's blocked! And then you can respond right there on the card to unblock it 😎

A workflow I'm enjoying for managing coding agents on a kanban board: When an agent needs your input, it turns the task red to alert you that it's blocked! And then you can respond right there on the card to unblock it 😎

Geoffrey Litt

475,205 Aufrufe • vor 7 Monaten

You can spin up an AI workforce with one prompt. Here's why it works: it pulls the context the AI needs to lay the foundation. Give it: - your role - team size - the goals you want to hit. Then say "interview me." After that, build it out in four steps: 1) Start with 1 agent. - What does it feel like to work with one? 2) Make that agent proactive. - Now it's doing things on your behalf before you ask. 3) Expand to 2 agents. - One directs the other, or routes to it. - This is where you learn how context gets passed. 4) Scale the workforce. - A mission control where you watch it all move around. - Now you see what has to run in parallel, which agent never needed that tool, which one runs fine on a smaller model. - Not everything needs Opus. Sub-agents are haiku and sonnet. The catch: the prompt gets you agents with markdown files doing some stuff. Getting to the 90% plus level is iteration, and that part is specific to each person. Nobody can hand it to you. Start with one agent. Spin up one agent this week. The rest is discovery.

You can spin up an AI workforce with one prompt. Here's why it works: it pulls the context the AI needs to lay the foundation. Give it: - your role - team size - the goals you want to hit. Then say "interview me." After that, build it out in four steps: 1) Start with 1 agent. - What does it feel like to work with one? 2) Make that agent proactive. - Now it's doing things on your behalf before you ask. 3) Expand to 2 agents. - One directs the other, or routes to it. - This is where you learn how context gets passed. 4) Scale the workforce. - A mission control where you watch it all move around. - Now you see what has to run in parallel, which agent never needed that tool, which one runs fine on a smaller model. - Not everything needs Opus. Sub-agents are haiku and sonnet. The catch: the prompt gets you agents with markdown files doing some stuff. Getting to the 90% plus level is iteration, and that part is specific to each person. Nobody can hand it to you. Start with one agent. Spin up one agent this week. The rest is discovery.

The Startup Ideas Podcast (SIP) 🧃

18,006 Aufrufe • vor 13 Tagen