Transcription
I built a $10,000 LinkedIn outreach automation using Cloud Co-work. And if you already have a spreadsheet of leads, partnerships, or past conversations, you're probably sitting on the exact same opportunity.
In this video, I'm going to show you how we built an outreach system that runs in the background, sends personalized LinkedIn connection notes, and already started bringing conversations back.
To build all of this, I used Cloud Co-work. It's an AI desktop agent from Anthropic, which means it can actually do work on your computer, not just chat. It can run multiple tasks at the same time and automate actions in your browser. That's huge because LinkedIn lives in the browser, so Claude can literally click through the steps for you. So, while you're living your life, it can read and update spreadsheets, create files, organize folders, and execute browser steps to get the job done.
It can also connect to other apps via MCP, which is model context protocol. And it's basically a universal remote that lets Claude talk to different tools. And this is exactly what we're doing today. We're taking a spreadsheet and using it for personalized LinkedIn outreach at scale.
Now, let me show you the exact workflow we built. So, here's a bit of context. My husband runs a business called Podstar, where he connects company founders with global podcasts. Over time, he built a pretty large database of podcast hosts, people he either called pitched through email or collaborated with through his clients. LinkedIn is his main relationship engine. That's where he strengthens connections and open doors for his clients. So, he already has a spreadsheet full of warm context he can use for better outreach.
Let me quickly show you what we're working with inside the database. We have the podcast host name, the podcast LinkedIn profile link, the podcast name, the podcast theme, meaning the niche, the match speakers, which client he previously pitched to that show, and the last contact date, which was usually done by email. This is important because when you plan your outreach, you need to look at the data you already have and decide what fields actually matters for personalization. What should the AI reference based on what makes someone reply?
The first thing we did was take the data we already had and start planning the prompt we would send to Claude using JGBT. We started with the outreach message itself. We planned to send this as a LinkedIn connection request with a note and LinkedIn has a hard limit of 300 characters for that note. So, we asked JGPT to write a message template based on the exact fields we wanted it to pull from our spreadsheet. Here's the version we chose.
Once the message was ready, we gave JGPT the workflow step by step in plain exact instructions. Here's the action order. One, generate the message for each row using the template and fill in the missing variables from the spreadsheet. Two, send me the updated spreadsheet and ask for approval before starting outreach. Three, after approval, open each person's LinkedIn profile using the link in the spreadsheet. Four, click more, connect, add a note, and send the personalized note for that specific row. If we're already connected on LinkedIn, go back in the spreadsheet, mark it as already connected, and don't send anything.
Then we took that full prompt and moved into Claude to actually build the automation. And from here, it's shockingly simple. First, make sure you have the Claude desktop app installed. Open it and at the top, switch to Co-work. Quick side note, to use Co-work, you will need the Pro plan. So, if you don't have it yet, set that up before you start.
Once you're ready, just paste the prompt you build in Chad GPT, attach your spreadsheet, and send it. Claude sent the spreadsheet back with the outreach messages it generated using the template and the data from our table. After a quick review to make sure everything looked right, we asked it to test just one row first to message only one person just to confirm everything worked exactly the way we expected. It pulled the details from the first row. And to access Chrome, it asked us to install the Claude Chrome extension. Once the extension was installed, we confirm we were connected and it started running the test. At this point, you just need to give Claude permission to work in your browser on LinkedIn like you can see here and you're good to go.
Now you can see how it opens the LinkedIn profile from the link in the table, clicks connect, and adds the note it generated. At the end, it returns a summary of what it did. The test was successful, so we asked it to run 10 more connection requests. You can see how it's working. I fast forwarded the video, but it took around 5 minutes to complete everything.
A quick heads up before you go build your own automation. If you're on a free LinkedIn account, you can only add a personalized note to up to five connections requests per month. So, if you want to run this exact automation inside LinkedIn, it's best to have LinkedIn premium. That said, Cloud can automate anything you can open in your browser. So, LinkedIn isn't the only way to use this.
And if you do have premium, you can send unlimited personalized notes with your connection requests. But please don't take unlimited as spam the entire database. You can hurt your account health and worst case trigger restrictions. So, don't tell Claude run everything. Break your list into small chunks, run a limited number per day, and keep it gradual just to avoid setting off LinkedIn's bot detection.
So, that's just one example of how you can use Cloud Co-work to build outreach automations. And honestly, this is only the beginning because even if you don't have clean data yet, you can use Claude in the browser to collect the information you need, build your table, and then run outreach on top of it. Cloud can also run multiple tasks in parallel. So don't be afraid to test and iterate. There are a lot more use cases we could build with this tool and I genuinely think it's a gamecher for outreach because it can actually work for you in the background.
If you like this video and you want me to show more real examples of using cloud co-work, drop a comment and tell me what you want to automate next. Thank you so much for watching and I'll see you in the next.