Video yükleniyor...

Video Yüklenemedi

Bu video yüklenirken bir sorun oluştu. Bu geçici bir ağ sorunundan kaynaklanıyor olabilir veya video kullanılamıyor olabilir.

Ana Sayfaya Dön

My favorite use case for AgentMode in Atlas so far: - give it a copywriting task (e.g., write an announcement email) - send it to Spiral, an AI writing tool by Every 📧 that has great writing taste - have them work together: let the agent answer all follow-up... show more

Victor

1,754 subscribers

12,253 görüntüleme • 9 ay önce •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

BREAKING: We're launching an AI writing partner infused with our taste Every 🪨. Spiral will help you write great short-form content in your style that sounds like you—not a model. We’ve loaded it with everything we know about writing—writing that feels alive and honest, and that spreads—and put it at your fingertips. Spiral v3 is a multi-agent system that takes you from idea to post in a few simple steps: 1. Collaborative interviews. When you ask Spiral to write a piece of content, it won’t start writing immediately. Instead, it will chat with you to figure out what you’re really trying to say and what’s most interesting to you. 2. Many drafts at once. Once Spiral begins to draft, it will write three different versions that you can see and interact with simultaneously. You can explore the space of possibilities and mix and match between different drafts easily. 3. Principled and taste-driven. We’ve spent hundreds of hours baking everything we know about writing into Spiral’s thought -process. It has a library of principles that it draws from—like always using the active voice, and always putting the most interesting idea in the hook—that make Spiral feel like a great ghostwriter, not an AI. 4. Collaborative and team-ready. Spiral has Workspaces that allow you to share product and company information and styles between members of your team—so all of your writing is on brand, all the time. You can buy Spiral standalone or if you're an Every 🪨 subscriber you get it for free as part of your subscription along with access to all of our writing, our live AI-coding workshops like Claude Code Camp, Cora, Monologue, Sparkle, and our subscriber-only Discord. Try Spiral v3 now:

Dan Shipper 📧

83,209 görüntüleme • 10 ay önce

I now spend more time building and far less time on outreach emails. Every campaign includes: • Finding prospects • Learning about each company • Personalizing every email • Writing follow-ups • Tracking replies That workflow can add up quickly—long before I even hit “Send.” So I tried Sintra. After I shared a bit of context about my business, it started generating personalized outreach sequences, follow-up emails, and messages tailored to different prospects—all in one place. Now, instead of starting from scratch, I review the drafts, make quick edits when needed, and send. The biggest difference isn’t just that AI helps write emails. It’s that I get my time back to focus on building while Sintra handles the repetitive parts. If outreach is a key part of your work, this is worth trying. 🔗 Use code: ZAYVEN75 for 75% off for lifetime.

I now spend more time building and far less time on outreach emails. Every campaign includes: • Finding prospects • Learning about each company • Personalizing every email • Writing follow-ups • Tracking replies That workflow can add up quickly—long before I even hit “Send.” So I tried Sintra. After I shared a bit of context about my business, it started generating personalized outreach sequences, follow-up emails, and messages tailored to different prospects—all in one place. Now, instead of starting from scratch, I review the drafts, make quick edits when needed, and send. The biggest difference isn’t just that AI helps write emails. It’s that I get my time back to focus on building while Sintra handles the repetitive parts. If outreach is a key part of your work, this is worth trying. 🔗 Use code: ZAYVEN75 for 75% off for lifetime.

ZAYVEN KNOX

22,820 görüntüleme • 1 ay önce

Anne Lamott coined “shitty first drafts” in her book, Bird by Bird, where you “let it romp all over the place, knowing that no one is going to see it and that you can shape it later.” So, how do you shape it? You take it through three drafts: 1) The child's draft / shitty first draft: be firm but friendly. "I like this. I like your description, but we're going to maybe use it somewhere else." 2) The adult draft: you take out, you fix, you find the stronger verbs. 3) The dental draft: "You go twos by twos. You wiggle and jiggly floss. Some teeth might need a little attention. Some teeth are fine. You go on to the next one, and that's really what good writing is." Great writing rarely emerges on the first pass. It’s an iterative process where you get it all on the page, remove and strengthen, and then tweak the details to end up with a great piece. ANNE LAMOTT

Anne Lamott coined “shitty first drafts” in her book, Bird by Bird, where you “let it romp all over the place, knowing that no one is going to see it and that you can shape it later.” So, how do you shape it? You take it through three drafts: 1) The child's draft / shitty first draft: be firm but friendly. "I like this. I like your description, but we're going to maybe use it somewhere else." 2) The adult draft: you take out, you fix, you find the stronger verbs. 3) The dental draft: "You go twos by twos. You wiggle and jiggly floss. Some teeth might need a little attention. Some teeth are fine. You go on to the next one, and that's really what good writing is." Great writing rarely emerges on the first pass. It’s an iterative process where you get it all on the page, remove and strengthen, and then tweak the details to end up with a great piece. ANNE LAMOTT

David Perell Clips

17,876 görüntüleme • 3 ay önce

At one point, together with Naval, Nivi wrote one of the most influential startup blogs of its time. Here is his advice on how to write well: 1. People try to write their thought process. So, what's the thought process that led them to such and such conclusion? Nobody cares about your thought process. Just give the conclusion and then support it. 2. People try to sound like they're smart. You're not smart. Just give us the answer. We don't need to fluff it up. So just write it like you're writing an email to somebody. 3. People think longer is better. No, it's not. Just write something short. I don't write emails that are longer than three sentences. And that puts the burden on the writer to figure out what the reader wants and communicate it precisely and cogently and briefly in just a few sentences. 4. You're not going to be a good writer if you're not a reader, so read some good stuff. I like to read people's tweets. Those are pretty good. I like to read some fiction, like Shakespeare or Cormac McCarthy or maybe some James Clavell. Those are good writers. And I like to watch the classics on HBO like The Sopranos, The Wire, Deadwood, which all have great writing. If you're watching Apple TV shows and being entertained by those and think those have good writing, I can't help you. 5. For business writing, you have to get into a customer service mindset. You're there to solve their problems. You also have to get into a design mindset, which is, you have to get into the reader's head, understand their problem, and sequence your ideas in the correct order, and with the right amount of extra information that they didn't ask for, that displays that you've thought through the issue for them on their behalf, looked at the other side of the argument, and presented things to them that they didn't know that they needed. 6. You have to think about what you would want to know if you were in the other person's shoes and argue against yourself either implicitly or explicitly or just go through the thought process yourself and see if there's anything there. 7. You also just have to care about words and the order of words and the ideas that they're communicating. Like I will reread an email that I sent someone the next day just for the enjoyment of rereading the great email that I wrote.

At one point, together with Naval, Nivi wrote one of the most influential startup blogs of its time. Here is his advice on how to write well: 1. People try to write their thought process. So, what's the thought process that led them to such and such conclusion? Nobody cares about your thought process. Just give the conclusion and then support it. 2. People try to sound like they're smart. You're not smart. Just give us the answer. We don't need to fluff it up. So just write it like you're writing an email to somebody. 3. People think longer is better. No, it's not. Just write something short. I don't write emails that are longer than three sentences. And that puts the burden on the writer to figure out what the reader wants and communicate it precisely and cogently and briefly in just a few sentences. 4. You're not going to be a good writer if you're not a reader, so read some good stuff. I like to read people's tweets. Those are pretty good. I like to read some fiction, like Shakespeare or Cormac McCarthy or maybe some James Clavell. Those are good writers. And I like to watch the classics on HBO like The Sopranos, The Wire, Deadwood, which all have great writing. If you're watching Apple TV shows and being entertained by those and think those have good writing, I can't help you. 5. For business writing, you have to get into a customer service mindset. You're there to solve their problems. You also have to get into a design mindset, which is, you have to get into the reader's head, understand their problem, and sequence your ideas in the correct order, and with the right amount of extra information that they didn't ask for, that displays that you've thought through the issue for them on their behalf, looked at the other side of the argument, and presented things to them that they didn't know that they needed. 6. You have to think about what you would want to know if you were in the other person's shoes and argue against yourself either implicitly or explicitly or just go through the thought process yourself and see if there's anything there. 7. You also just have to care about words and the order of words and the ideas that they're communicating. Like I will reread an email that I sent someone the next day just for the enjoyment of rereading the great email that I wrote.

Arjun Khemani

137,248 görüntüleme • 1 yıl önce

A DEVELOPER PROVED THAT MOST OF THE CLASSES YOU WRITE SHOULD NEVER HAVE BEEN CLASSES AT ALL 27 minutes from Jack Diederich, a Python core developer, on how much of your code is just a function wearing a costume. -> The moment it lands, the rule is brutal: if a class has two methods and one is __init__, you meant to write a function. Most people add structure to feel like real engineers. It just adds weight no one ever needed. Writing more code was never the skill -> writing less of it is. And when an AI agent happily generates ten classes for a job that needed three lines, the person who knows what to delete is the one who ships something clean. Anyone can add abstraction. Knowing when not to is the whole job. Bookmark it and Watch ↓

A DEVELOPER PROVED THAT MOST OF THE CLASSES YOU WRITE SHOULD NEVER HAVE BEEN CLASSES AT ALL 27 minutes from Jack Diederich, a Python core developer, on how much of your code is just a function wearing a costume. -> The moment it lands, the rule is brutal: if a class has two methods and one is init, you meant to write a function. Most people add structure to feel like real engineers. It just adds weight no one ever needed. Writing more code was never the skill -> writing less of it is. And when an AI agent happily generates ten classes for a job that needed three lines, the person who knows what to delete is the one who ships something clean. Anyone can add abstraction. Knowing when not to is the whole job. Bookmark it and Watch ↓

slash1s

269,515 görüntüleme • 2 ay önce

The same kinds of productivity gains we've seen in coding with AI agents are heading to the rest of knowledge work. This is the jump when you go from having a chatbot to being able to actually have an agent go off and do work for minutes or even hours and come back with a complete work output that you then review. Here's an example of the new Box Agent filling out an RFP response from an existing knowledge base. This process would normally take hours to fill out, and requires the full attention of the user doing the work. Now, you provide the Box Agent with the RFP questions, and it will go off, make a plan, extract all the relevant questions, read through existing source material to come up with an answer, and then generate a new word document as the final output. All while you're doing something else. The key to this architecture is that the agent is able to use all of the same tools in the background that a user uses to get work done. The agent can search for documents, read entire files, run scripts and tools in the background, and even be able to write code on the fly to automate tasks it hasn't seen before. And best of all, the Box Agent will (soon) work from the Box MCP and CLI so you can invoke it in any agentic system as a step in a process. This kind of agent complexity would have been impossible even 6 months ago. Models consistently failed at tracking long running tasks or using the right tools at the right moment for the task. But this is all now possible because of models like GPT-5.4, Opus 4.6, and Gemini 3, and is only getting better by the month. Just as we moved from engineers writing code and using AI as an assistant to answer questions, in many areas of knowledge work -like legal, finance, consulting, sales, marketing, and more- when we have a problem we'll just kick off the AI agent to just go work on it for us in the background.

The same kinds of productivity gains we've seen in coding with AI agents are heading to the rest of knowledge work. This is the jump when you go from having a chatbot to being able to actually have an agent go off and do work for minutes or even hours and come back with a complete work output that you then review. Here's an example of the new Box Agent filling out an RFP response from an existing knowledge base. This process would normally take hours to fill out, and requires the full attention of the user doing the work. Now, you provide the Box Agent with the RFP questions, and it will go off, make a plan, extract all the relevant questions, read through existing source material to come up with an answer, and then generate a new word document as the final output. All while you're doing something else. The key to this architecture is that the agent is able to use all of the same tools in the background that a user uses to get work done. The agent can search for documents, read entire files, run scripts and tools in the background, and even be able to write code on the fly to automate tasks it hasn't seen before. And best of all, the Box Agent will (soon) work from the Box MCP and CLI so you can invoke it in any agentic system as a step in a process. This kind of agent complexity would have been impossible even 6 months ago. Models consistently failed at tracking long running tasks or using the right tools at the right moment for the task. But this is all now possible because of models like GPT-5.4, Opus 4.6, and Gemini 3, and is only getting better by the month. Just as we moved from engineers writing code and using AI as an assistant to answer questions, in many areas of knowledge work -like legal, finance, consulting, sales, marketing, and more- when we have a problem we'll just kick off the AI agent to just go work on it for us in the background.

Aaron Levie

24,618 görüntüleme • 4 ay önce

i found the secret to writing copy that SELLS with AI... it's not about the model, it's not about the prompt, and it doesn't matter how good you are at writing it's about feeding AI with world-class examples i built a full copywriting swipe file you can use with any LLM: - over 1,000 examples of the best emails, ads and landing pages copy - my 3-step process to use this inside AI projects - my super-prompt to extract the sauce from any copy reply "SWIPE" + retweet and i'll send it for free (must be following so i can DM)

i found the secret to writing copy that SELLS with AI... it's not about the model, it's not about the prompt, and it doesn't matter how good you are at writing it's about feeding AI with world-class examples i built a full copywriting swipe file you can use with any LLM: - over 1,000 examples of the best emails, ads and landing pages copy - my 3-step process to use this inside AI projects - my super-prompt to extract the sauce from any copy reply "SWIPE" + retweet and i'll send it for free (must be following so i can DM)

Machina

32,588 görüntüleme • 1 yıl önce

My VSLs have grossed over $100M in the last 3 years. Here's a talk on how I write / launch / scale them. I only had an hour for this, so there's much I left out, specifically about writing process / quality. Will record more in the future, lmk if you have q's . (ps - we're hiring writers and marketers this year. My email address is somewhere in this video!)

My VSLs have grossed over $100M in the last 3 years. Here's a talk on how I write / launch / scale them. I only had an hour for this, so there's much I left out, specifically about writing process / quality. Will record more in the future, lmk if you have q's . (ps - we're hiring writers and marketers this year. My email address is somewhere in this video!)

Jonathan

32,680 görüntüleme • 1 yıl önce

A 2-person startup crossed $2M ARR with an AI agent doing the work of an ops hire. The agent was given read-only access to their codebase and database along with connected tools like Intercom, Stripe, CRM, and Fathom through CLIs. They routed Slack, email, and support requests into a task queue so the agent could pick up each task and run it in Claude Code. So when a customer asked about billing or product behavior, it could inspect how the business actually worked. Along with these tools, a coding agent was also provided. When the ops agent found a repeated task it could not do yet, the coding agent built a tool for it. That tool became permanent. Over time, this grew to 45+ internal tools. The agent also had an instruction.md where it stored the co-founder's feedback to avoid repeating its mistakes.

A 2-person startup crossed $2M ARR with an AI agent doing the work of an ops hire. The agent was given read-only access to their codebase and database along with connected tools like Intercom, Stripe, CRM, and Fathom through CLIs. They routed Slack, email, and support requests into a task queue so the agent could pick up each task and run it in Claude Code. So when a customer asked about billing or product behavior, it could inspect how the business actually worked. Along with these tools, a coding agent was also provided. When the ops agent found a repeated task it could not do yet, the coding agent built a tool for it. That tool became permanent. Over time, this grew to 45+ internal tools. The agent also had an instruction.md where it stored the co-founder's feedback to avoid repeating its mistakes.

rvivek

11,870 görüntüleme • 2 ay önce

I built email marketing for the 99.9% who hate email marketing. Introducing VibeMail™ Every project I built needed email sequences, and every time it sucked. Where’s the AI-native email tool nobody’s made? Then I realized: if your coding agent gets the right context, it can handle all the grunt work. What if you write powerful emails, and your agent just plugs the code in - shipping in minutes, not days? VibeMail crawls your site, generates full campaigns (welcome, drip, re-engagement, etc.), then hands your coding agent everything needed to integrate. No DNS wrestling. No setups. No complexity. You've heard of vibe coding, you've heard of vibe marketing, here is vibe emailing. Let’s see how far it flies.

I built email marketing for the 99.9% who hate email marketing. Introducing VibeMail™ Every project I built needed email sequences, and every time it sucked. Where’s the AI-native email tool nobody’s made? Then I realized: if your coding agent gets the right context, it can handle all the grunt work. What if you write powerful emails, and your agent just plugs the code in - shipping in minutes, not days? VibeMail crawls your site, generates full campaigns (welcome, drip, re-engagement, etc.), then hands your coding agent everything needed to integrate. No DNS wrestling. No setups. No complexity. You've heard of vibe coding, you've heard of vibe marketing, here is vibe emailing. Let’s see how far it flies.

The Boring Marketer

71,264 görüntüleme • 11 ay önce

Do you know the pain of wanting to send a client an invoice, then you have to open your laptop, find your invoice document and start typing it in Or if you're one of those who use Canva for it You need an invoice and you need it in 3 minutes so you can close a deal I GOT YOU, I will show you how I made an invoice for my company using AI and then created a Webapp for it, the WebApp installs like an android app and I can open it and use anytime without internet. That's the next video Let me show you how I did my own P.S: It was my first time, so we do it together... Video dropping soon

Do you know the pain of wanting to send a client an invoice, then you have to open your laptop, find your invoice document and start typing it in Or if you're one of those who use Canva for it You need an invoice and you need it in 3 minutes so you can close a deal I GOT YOU, I will show you how I made an invoice for my company using AI and then created a Webapp for it, the WebApp installs like an android app and I can open it and use anytime without internet. That's the next video Let me show you how I did my own P.S: It was my first time, so we do it together... Video dropping soon

Richard U. | Web Developer

22,829 görüntüleme • 23 gün önce

I write dozens of cold email script variations in <15 minutes using ChatGPT-o3 + Claude Sonnet 4. Here's the full AI prompting process breakdown & walkthrough: There are two main phases of this script writing process. 1. Developing context 2. Setting guidelines Since AI has improved so much, the prompting process has become significantly simpler, as long as enough context has been given. This is essentially the full process behind this method: Context to begin with: - Onboarding form - Onboarding call recording - Deep research company summary Writing process: - Give Claude guardrails - Give messaging angles to emphasize - Give strict detail on variations needed AI is great, but it still requires human expertise since there is a lot of nuance that comes with cold email messaging. That's where the experts can shine in the prompting process. If you want access to the exact prompting frameworks I use to generate winning copy: Like + comment "Prompts" and I'll DM you the frameworks. (Must be following to receive)

I write dozens of cold email script variations in <15 minutes using ChatGPT-o3 + Claude Sonnet 4. Here's the full AI prompting process breakdown & walkthrough: There are two main phases of this script writing process. 1. Developing context 2. Setting guidelines Since AI has improved so much, the prompting process has become significantly simpler, as long as enough context has been given. This is essentially the full process behind this method: Context to begin with: - Onboarding form - Onboarding call recording - Deep research company summary Writing process: - Give Claude guardrails - Give messaging angles to emphasize - Give strict detail on variations needed AI is great, but it still requires human expertise since there is a lot of nuance that comes with cold email messaging. That's where the experts can shine in the prompting process. If you want access to the exact prompting frameworks I use to generate winning copy: Like + comment "Prompts" and I'll DM you the frameworks. (Must be following to receive)

Christian

14,864 görüntüleme • 1 yıl önce

I create a lot of video content. Over the past few years, that work has helped me grow to 200K+ followers and 70M+ views across platforms. Lately, I’ve been experimenting with AI tools that make the process more efficient, without losing my voice, personality, or taste. From researching and writing scripts to editing videos and crafting captions, I’m sharing a few of my favorite workflows, including how I use tools like Hyperagent. I’d love to hear which tools or workflows have made the biggest difference in your own creative process. Try it out:

I create a lot of video content. Over the past few years, that work has helped me grow to 200K+ followers and 70M+ views across platforms. Lately, I’ve been experimenting with AI tools that make the process more efficient, without losing my voice, personality, or taste. From researching and writing scripts to editing videos and crafting captions, I’m sharing a few of my favorite workflows, including how I use tools like Hyperagent. I’d love to hear which tools or workflows have made the biggest difference in your own creative process. Try it out:

Sarah Chieng

292,535 görüntüleme • 1 ay önce

THIS GUY CONNECTED HIS AI AGENTS TO HIS OBSIDIAN AND BUILT A BRAIN THAT LEARNS ON ITS OWN. HERE'S HOW TO BUILD IT Obsidian is just markdown files sitting in a folder. That turns out to be the perfect memory for an AI agent, because an agent can read and write those files directly. He wired his agents into the vault so they pull context from it, do the work, and write what they learned back. The notes aren't the point. The loop is, and it gets sharper every cycle How to build it: 1. Point an agent at your vault. The fastest way, no plugins, no API keys: open a terminal and run npx obsidian-mcp /path/to/your/vault. That exposes your Obsidian folder to Claude as a tool it can read, search, and write to. Add it to your Claude Code or Cowork config and restart 2. Confirm it can see the brain. Ask it: "list the notes in my vault and summarize what's in them." If it reads them back, the connection is live. Now it starts every task with everything the vault already holds instead of from zero 3. Give each agent one job and a write-back rule. Tell it: "research this, then save what you found as a new note in /brain with links to related notes." One agent researches, one summarizes, one plans. Each writes its output back into the vault 4. Close the loop. Add one line to every agent's instructions: "read /brain before starting, write your result back when done." Now each task leaves the vault richer, and the next run reads that before it works. It compounds instead of resetting 5. You only steer. Review what the brain produces, point it at the next thing. The agents handle the reading, writing, and connecting The edge isn't better notes. It's a brain that feeds itself, so the work gets sharper every cycle instead of starting over Bookmark this

THIS GUY CONNECTED HIS AI AGENTS TO HIS OBSIDIAN AND BUILT A BRAIN THAT LEARNS ON ITS OWN. HERE'S HOW TO BUILD IT Obsidian is just markdown files sitting in a folder. That turns out to be the perfect memory for an AI agent, because an agent can read and write those files directly. He wired his agents into the vault so they pull context from it, do the work, and write what they learned back. The notes aren't the point. The loop is, and it gets sharper every cycle How to build it: 1. Point an agent at your vault. The fastest way, no plugins, no API keys: open a terminal and run npx obsidian-mcp /path/to/your/vault. That exposes your Obsidian folder to Claude as a tool it can read, search, and write to. Add it to your Claude Code or Cowork config and restart 2. Confirm it can see the brain. Ask it: "list the notes in my vault and summarize what's in them." If it reads them back, the connection is live. Now it starts every task with everything the vault already holds instead of from zero 3. Give each agent one job and a write-back rule. Tell it: "research this, then save what you found as a new note in /brain with links to related notes." One agent researches, one summarizes, one plans. Each writes its output back into the vault 4. Close the loop. Add one line to every agent's instructions: "read /brain before starting, write your result back when done." Now each task leaves the vault richer, and the next run reads that before it works. It compounds instead of resetting 5. You only steer. Review what the brain produces, point it at the next thing. The agents handle the reading, writing, and connecting The edge isn't better notes. It's a brain that feeds itself, so the work gets sharper every cycle instead of starting over Bookmark this

Yarchi

58,186 görüntüleme • 2 ay önce

I tried Runway Agent 2.0 expecting another AI video generator. What surprised me was that it felt more like a creative workflow than a generation tool. I started with a simple idea and described the video I wanted in plain language. Agent helped shape the concept, asked the right questions, mapped the direction, generated the video, added voiceover and music, and let me refine parts without rebuilding everything. It felt closer to working with a creative partner than writing prompts. One conversation turned into a finished, publish ready video. Runway Agent is available now on the Runway web app: Get 30% off Your first 3 months with code RUNWAYAGENT #MadeWithRunway #ad

I tried Runway Agent 2.0 expecting another AI video generator. What surprised me was that it felt more like a creative workflow than a generation tool. I started with a simple idea and described the video I wanted in plain language. Agent helped shape the concept, asked the right questions, mapped the direction, generated the video, added voiceover and music, and let me refine parts without rebuilding everything. It felt closer to working with a creative partner than writing prompts. One conversation turned into a finished, publish ready video. Runway Agent is available now on the Runway web app: Get 30% off Your first 3 months with code RUNWAYAGENT #MadeWithRunway #ad

Leonardo

28,098 görüntüleme • 1 ay önce

If you want it done right the first time, hand it to an Opus model (lowest undo rate). Great for the hard stuff… like work that spans four tools. Plug in Salesforce, PostHog, Hex, or any tool via MCP. Ask for a report, and you get analysis, interactive charts, and writing you’d send straight to your team. Near-Fable-level work at half of the cost 🫡

If you want it done right the first time, hand it to an Opus model (lowest undo rate). Great for the hard stuff… like work that spans four tools. Plug in Salesforce, PostHog, Hex, or any tool via MCP. Ask for a report, and you get analysis, interactive charts, and writing you’d send straight to your team. Near-Fable-level work at half of the cost 🫡

Notion

46,905 görüntüleme • 23 gün önce

You can create an AI Agent that answers your email with a few clicks. 1. Go to ChatLLM ( 2. Click on AI Engineer 3. Select Create an AI Agent 4. Choose the Email Answering Agent ChatLLM will do the rest: it will code, test, and deploy the agent for you. You can also create a custom agent in English. The Agent Economy is coming (somebody should write a book and use this title.) We are going to see examples like this, times 1,000 in 2025. Just think about how many repetitive tasks you perform every day. Some of these tasks are involved enough that we couldn't automate them with pre-AI solutions. That's where we'll see agents explode, and I'm here for it.

You can create an AI Agent that answers your email with a few clicks. 1. Go to ChatLLM ( 2. Click on AI Engineer 3. Select Create an AI Agent 4. Choose the Email Answering Agent ChatLLM will do the rest: it will code, test, and deploy the agent for you. You can also create a custom agent in English. The Agent Economy is coming (somebody should write a book and use this title.) We are going to see examples like this, times 1,000 in 2025. Just think about how many repetitive tasks you perform every day. Some of these tasks are involved enough that we couldn't automate them with pre-AI solutions. That's where we'll see agents explode, and I'm here for it.

Santiago

79,974 görüntüleme • 1 yıl önce