8 ChatGPT Agents That Do My Work for Me (Steal These) transcript

Today, we're going to turn Chat GBT from something we prompt into an agent that does our work in the background 24/7. [music] This video is going to be a complete guide to setting up agents to do your work in the cloud autonomously directly from the Chat GBT desktop app, web app, or iOS app. And so, in part one, I'm going to explain the different parts of ChatGBT that are relevant for agentic tasks. Then in part two, I'm going to show you my eight favorite agent workflows that I've set up that have helped me and my business the most so that you can create similar workflows that help you.

All right, guys. Today we're creating a Gentic Workflows that work 24/7 in the cloud. Whether you're using the desktop app like I am here or if you're using the chat GBT web app on chatgbt.com or if you're using the ChatGBT iOS app, we are going to be able to create these cloud agents that do our work. Of course, we're going to be talking about the eight agentic workflows that really drive revenue in my business. But first, I do want to talk about some basics that you should understand before we get here.

So the first thing that you need to understand is that chat GPT has evolved and there's a new setting in chat GPT called chat GPT work. This is where a chatbot becomes an agent right this AI agent has access to a computer with files with a browser and it is becoming much more like an employee and you can use this directly in the web app. You can use it in the desktop app chat and work also you can use it in the iOS app.

You can go from chat to work. And in my opinion, the most useful part of GBT work are something called plugins. And so I could use the notion plugin, for example. And I'm going to say, please create a database called commitments and deadlines. Please look at my Gmail and look at my Slack and find any commitments or deadlines and put them in a database from the past week. Oh, also look at my meeting notes at Whisperflow cuz they now have meeting notes built in and we can run this prompt.

And so there's two main reasons why plugins are so useful. The first one is context and the second one is actions. Plugins allow your agent to get full context of all of the data that's inside notion, that's inside Gmail, that's inside Slack, and that's inside my meeting notes on Whisperflow. But not only does it have context and able to pull the data from these four platforms that I use for my business, it can also take actions in all of these.

It's actually going to create a database inside Notion. You'll see in just a second. Okay. So, notice here that after 4 minutes, GPT work is done. And I want you to think for a second, how long would this task take you? Especially if the result is this. So, if we open this up inside the chat GBT browser, inside the ChatGBT desktop app, we can see the database that it created. It went through notion, Gmail, Slack, and all of my meeting notes and found all of this information.

It added the commitment. Um, it added the counterparty. It added the evidence. It added the owner, the source, analyzed four different platforms and created a new notion database. And it did that in 4 minutes. And that is how powerful it is. Okay. So for me, it was about 5 minutes of total work. One of which was typing out this prompt and then four minutes of waiting for its response. However, there's something inside the chat GBT app and that is this scheduled tab.

And so on the scheduled tab, we can do something like this. So you'll notice here that it said if helpful, I can set update commitments database daily. So new commitments are captured automatically. So I can either click on this directly or I can type into this. And so this brings me to special agentic workflow number one that I use, which is this commitments and deadlines workflow. And so what I can do is I can just click on this right here.

And so now that we can see this right here, all I need to do is go up to scheduled, and we'll see it right here, which is update commitments database. This will run daily at 8:00 a.m. Okay, let's actually add one additional thing so that I'm held accountable by another human on these things. Hey, I actually want you to email I'm going to put Emily at agentnative.inc. Please send her an email with a link to these this database so that she can view them.

And then whatever ones you add, please add. And then make sure to mention that this is a full list of the commitments and deadlines Riley has agreed to. And this should be emailed every single day as well. And then you can always mention like this should be part of this automation. And so basically every morning it'll analyze all of these things. It'll put them in a notion database and then it will send an email to Emily from me so that she can see it and then hold me accountable to those items.

And so there you go. We've created this first automation that just happens every morning. AI will go through all of these thanks to the plugins and get that work done every single morning 8 a.m. That's workflow automation number one. Okay. So, the second automation that I'm going to do with chat GBT work involves hiring. I tweeted this the other day. I said, "If you want to use or test agent platforms and write about what you learn and get paid for it, please send me an email.

I'm hiring at agentnative." And I put my email right here. And so what I can do now, I can very easily have AI analyze my email and add all of the people who've sent me an email into a database. In fact, I have done this already. This is my hiring dashboard. I have a lot more fields here. I just can't show them because I don't want to give away any sensitive information. And what I want to do is I want this to be updated every single day.

And so what you can do is you can just go to wherever your notion database is and I can say, "Hey, I've been hiring for this position." And then what I'm going to do is I'm just going to give a screenshot of this tweet. That's all I'm going to do. And they are sending emails to the email listed there. And all of the entries are here. in this database and then I can paste that notion link right here. Please, can you create an automation that adds all of these people to that database?

Create another automation for nighttime which researches all the people and adds research about these people in the notes. Every single day in the morning, add them. At night, research them. And so I can fire this prompt in. And again, it works directly from chatgpt.com. It'll create this automation. Okay. 43 seconds later, we now have these right here. Both run daily. If you put your email out there or any email that you want to connect to GPT work out there on the internet to gather information, you can just use GPT work to monitor that email and turn it into a dashboard.

Okay, so the next two AI agent workflows that I want to create involve social media, specifically tweets on my new brand account. You know, I've done a pretty good job growing my Twitter. I'm at around 233,000 followers. But I do want to grow my new account that I created a few months ago called Agent Native. And that's the name of my company that I'm building. I want to do two things with this. The first thing that I want to do is research for tweets.

And then I want to actually schedule the tweets. And so the first automation number one involves scraping um and like it's just doing research on Twitter. And then uh two is scheduling. And what we're going to be doing is we're going to be using typefully for scheduling and we're going to be using scrape creators for scraping. Okay. So this brings me to automation number three which is Twitter scraping. So here's the prompt that I'm going to use is I want to grow agent native my uh my Twitter account for the brand.

I comment on the agent space and make high quality content and around open AAI codecs and similar tools. Look up the similar tools. Um, and you can also look at the handle which is agent native and then I want you to search Twitter and find relevant popular tweets over a 100 likes that show important updates to agents and becoming agent native, new product updates, new model releases. And I want and we're going to be using scrape creators.

In the description below, I have a little guide that you can get um for scraping social media. And I want you to create a new database in at notion. We're using another plugin called scraped tweets. Please do this now. Scrape the latest. So now I'm going to have it scrape. It's going to create a notion database, store all the data for the tweets, then we'll create an automation to do this every few days. Okay. So this is going to take a little bit and then we'll create the automation once it's done.

Okay. So after 8 minutes it's done and I can actually open this up directly in the browser. We should see all of the tweets are pulled. Here we have the link URL. Any media URL is automatically pulled. This is really cool. We see all of the replies, reposts, etc. Okay, this is just step one. And then we're going to create tweets from the agent native account which provide commentary about these posts. That's going to be number four.

We need to finish this one and say, "Hey, please create an automation that automatically gets this done at uh 9:00 a.m. every morning. I want that to go off and update this database." Okay? And there you go. This is going to happen every single morning at 9:00 a.m. Okay. Okay, so that brings me to automation number four, which is creating commentary posts from my agent native account. So for this, I'm actually going to be using Typefully.

Typefully allows me to sign in to uh a bunch of Twitter accounts. And if I go to settings here and click settings and go to API, I can get an API key. I've already set this up, but I gave this API key to GPT work. And now it can use a skill. I believe it's just going to be called typefully drafts. And so now what I'm going to do is I'm going to say, please can you create five draft posts that are actually let's do 10 draft posts on the best posts from the ones you've just gathered.

So these should either be quote tweets or it should post the video. Look up how to do that. Please do that on 10 of them and put it on the agent native account. Do not actually post them, just draft them on Typefully. And so that is going to be the workflow. We gather all of the tweets here in a giant notion database. We're not ever going to look at it. AI just stores all the data there and then it's going to take the most recent ones or the best ones from the past day and add them to Titefully.

And this is where I can come and I can just approve them and schedule them. And so that's how we can post more on Twitter, except I will actually do some manual editing because I don't want AI to tweet for me. I believe that if I just put in 10 minutes a day, I can make them 10 times better because I have a lot of experience on Twitter. All right, so after 3 minutes, it is done. And if I rightclick on this, open an external browser.

There we go. Look at this. It created I'm going to zoom out a little bit. It created all of these tweets. All 10 of these tweets are ready to be posted. Voice is becoming real input layer for coding agents. Gemini can now ground what you say against the code, file names, and variables and what's on the screen. You won't just type prompts into agents. You'll direct them while you work. This is very cool. And it quote tweeted them.

It did the post the video thing pretty well, which is really cool. This is awesome. Okay, so now what I want you to do, I want you to do this every day. And I want you to add five posts every day. Always pay attention to the previous tweets that I post on Agent Native and take from my voice, especially the ones that perform well. Take the ones that perform well, and those should be the ones that you use as examples going forward.

So, please create that automation now. All right, 9:00 a.m. every day. We now have that one set up as well. Okay, so the next four are a little bit quicker. Here is automation number five, which is finding podcast guests. So, I'm going to say, "Please do deep analysis using the YouTube researcher skill." This uses scrape creators. It just does it in a specific way to analyze the YouTube transcripts to look for good guests for my podcast.

And then I said, "Please add them to this database." Now, here's a fun thing that you can do when you're using the desktop app. Check this out. So, if you're typing a prompt here, I can just open up Notion and let's go to the podcast guests database. And I created this manually a while ago. So what I can do here is while on this I can click both command keys. So check this out. It automatically just takes the page and adds it as context.

This should also be an automation for every morning at 11 a.m. And so now let's just wait. And it's going to do some research, add some more people to this database, and then it's going to create the automation. And there you go. So it created the automation and remember you can always click directly on the automation to see that it did it correctly. If you want to change any of the details you can edit it directly in here.

Okay. So for number six I want to do one from the phone. You can create these scheduled tasks directly from your phone. So I'm going to type this in right here. This one is actually very common and I highly recommend it if you have multiple emails. So the email I have connected is my main agent native email, but it someone pe many people reach out to me about brand sponsorships. And so I want to be able to do email forwarding.

So I'm going to say when someone emails me about a brand sponsorship, please reroute it to rileley raugoddia.com. Like forward it to that email uh so my team sees it. Um do this uh 2x per day. set up that automation and I can fire that prompt out. And there you go. This one is very simple, but I find that a lot of people would find this one useful. And again, you can click directly on it. Right here, you can see daily forwarded sponsorship leads.

We can click on this right here and this will forward anything to my email to this new email, which is really cool. And again, you can edit it directly if you find some mistakes in the automation. Okay, so now I want to talk about the seventh automation that I create within the chat GBT app. This is the only one where I do it inside codeex because more permissions by default. And for this one, we're going to be using the new messages integration which allows me to pull directly from messages.

And what I can do here is I can say please summarize my messages from Adam D uh from today in text. This allows codeex to go straight into the database where my iMes are stored and it can get back to me with exactly whatever question I'm asking. It can even summarize every text you've ever sent. This will use a lot of tokens and might be somewhat expensive, but you can do it. And the point is you have full access to your text directly in codecs.

And so this is a very clean summary and I changed it to the last 5 days cuz there wasn't actually much from the last one day. But this summarized our conversation very concisely and perfectly. And so the point is I can take any text message chain with anyone and I can ingest it with codeex and I can actually store it in a database. And so that's exactly what I've done for sponsorship texts. I have a a manager for my content and they actually have a full team and so I have chats with all of them.

And because I want my agents to have context over everything at 8 a.m. it reads my texts with with four different contacts. If they're in a group chat with other people, it'll also bring those in and it stores that data inside notion just like the previous ones. So that if I ever ask any of my agents about any deal, it has all of that context from text messages because so much of my communication is done via text. That's really important to have your agents do things effectively because it needs all of your context.

And so that is automation number seven. I've had this one running for a long time. All right, guys. So for the final automation that I highly recommend is one that is once a month. And so I've actually been workshopping this. I've only ran it once last month and it was incredibly good. And for this one, we are actually going to be using the highest model 5.6 soul extra high and this model and really do deep analysis here and write the most detailed summary ever.

And I'm just going to say don't do this now. schedule this for the last day of the month for the next 12 months. And so this is basically review the past month across notion, Gmail, Slack, Calendar, Whisper Flow, Google Drive, Scrape Creators, and everything that it has access to because I have my entire company, all of its context is within one of these plugins. And it is able to analyze all of it with the smartest model ever.

And it can do this once a month and really get you to focus. And I can tell it exactly where to put it. create this report in notion and then email it to Emily as well. And so this will happen automatically at the end of every month. You can just deploy intelligence and this will happen in the cloud and you can even create these automations directly from your phone. I could have done that whole thing from my phone. You can just create these automations by talking to chat GBT work.

All right, guys. So, those are the eight automations or agent workflows that I've created that run automatically using GBT work, right? We analyze emails and Slack messages for commitments and deadlines. We automated our hiring database. We're scraping Twitter. We're drafting tweets. We're finding guests for our podcasts. We're doing email forwarding. We're importing all of our text. This is the only one where we use codec so it can run locally on our computer.

And then we're doing this giant mega monthly summary with all of our context. And here they are. You can see them in the desktop app, the web app, or the iOS app. Thank you guys so much for watching. And OpenAI, thank you so much for sponsoring this video. I'll see you here for the next