Inside An AI Workspace Where Your Work Updates Itself | Workbuddy Walkthrough

So guys this page is tracking everything that I owe sponsors for this YouTube channel this week and I didn't upload a single file to make it. All I did is I asked AI one question and it went into my own folders of brief scripts and data. It found what it needed and it built this and when a client messaged me an hour later with a change it automatically updated this page so the same link without having to start over. Now this tool is called WorkBuddy Library and I want to show the whole workflow step by step from the question through to the live link gonna be a fun one so sit down grab your coffee and let's go now the problem with how a lot of us use AI right now is your context isn't saved right you prompt something it generates results you paste that into a doc and then in every new chat you can't access that previous doc or work or context that was created so the workflow that we're walking through in this video is powered by WorkBuddy that's a desktop AI agent out of Tencent and Library is a feature inside of WorkBuddy and at a high level just to level set us the library is like one shared space for all of your files your team and your AI agent so things like your docs your data and pages will sit in one folder tree that is AI native so the agent can just work with what's already there and what it makes gets saved back so you can edit and save it and share it and keep updating it over time and the idea is that AI shouldn't just generate your work it should stay in the work and so that's the fundamental concept powering this and that said we're going to jump into my computer to take a look at this workflow now if you want to follow along the link to download is in the description or comment work buddy under this video and so you can install it and just follow along while we're doing the same on the screen here and that said let's jump into my computer here we are inside work buddy we can see the web version right here at workbuddy.ai forward slash app and this is the desktop app which is where we're going to be doing most of our work now there's a lot here we're not going to have the time to get into so experts skills connectors assistant etc but if i jump into the library what you can see right here is a channel ops folder so inside that folder i have brief or some videos i have a script for one video and then a sponsor tracker and brand new so just like like you use your existing kind of Google Drive system. This is a kind of equivalent, but it is going to be AI-native. And so I wanna start off by illustrating that AI-native feel for this folder and this library structure. Let's jump into the assistant right here, and I'll go ahead and give it this prompt. So what do I need to deliver this week? Check my briefs and the tracker and give me a list with each brand, the deliverable, et cetera, and then build me a page from the tracker that I can share with my editor what i have to do this week this combines a lot of things we're not going to tell the agent specifically where to go we're going to see if it can find that and then if it can summarize that information effectively and actually build me or program me a tracker let it run okay and we can see here that it found the briefs and it's pulling skills to read and then to edit them okay so now we can see what's already being done what's due this coming week in october and then next week as well and it's still leaving an html page with that information here we go it's done so we can see a little task list this week based on those files of what's due what's waiting on me and what i'm waiting on a brand for so do this week with all the steps and what we need to do and we can see that this lives as a little url here which is pretty cool so we can play around with that and open tabs in the browser if we want to so that's nice but what happens a lot in situations like this is a brand will ask for a change maybe you want a 90 second integration instead of a 60 second integration and usually with ai right you have to regenerate the entire script so what i want to ask it to do now is edit or update that library content for me i'm going to say this also change their brief the read is now 60 seconds instead of 90 and offer us the land in the first 20 seconds update the existing integration script to match and keep the script the same otherwise now just to show you for context if we jump into here we can see what that integration brief looks like and so here's the pdf document uh brief and then here's the script that goes along with that brief so we can see kind of word by word what those 90 seconds looks like so let's jump back into the task and we'll go ahead and see if it can update that brief for us now same thing again i don't want to have to point to a specific file so we're just going to let it find it on my behalf but here we can see it's going to go ahead and restructure the offer and make those edits on my behalf okay it looks like that update was made okay it looks like that update was made so we can see now v2 is marked right here and now this is what is pretty awesome about this ai native kind of library which is of course you don't work on these things in your business alone what i can do i can see the online version right here i'm going to click share i'm going to click copy that link and then here i can see let's say i'm the editor right for this i can review the script that the ai edited and i can say something like let's leave a comment and say say the code twice and then i'll go ahead and say something like this line runs long on camera so in this way you can share those ai native docs and files and then team members can collaborate and edit those files as well and so now we're going to jump back into the agent and just say can you update the script based on the editor's comments that were left and while that's generating i've gone back into the sponsored deliverables html doc that was created i'm going to click share and then publish as website and then i'm going to copy that link and so this is now being published just kind of a mini collaborative website, or I can see this now on my phone right here and go make any edits, leave comments, or just see this information. So this is how I could share that information with my team. Okay, cool. So we can see it looks like the document was updated. Let's go into the library. And so we can see the update, for example, saying decode twice, and this sentence was broken up. So that all looks good. And for a final test here, let's jump back to the task and let's say this I received this message from the auto team so the same you know transfer client there and they said hey can we push the shoot to Thursday and the new code is also ready. So what we want to see is I have this on my phone my team has access to this weekly to-do list essentially if that needs to get updated can I just ask the agent and on all our devices will this just instantly update and reflect the updated situation. So let's see let it run and we'll see if it updates and so while this is working again i hope you can kind of see the underlying system here the goal being an ai native document collaboration system for your business that's the goal i think that is the future and what all businesses in various forms are going to shift to over time of having these agents team members work together to work on deliverables like you know your documents your files your apps etc okay we can see it has been successfully updated to thursday so there we go i think that's a very good example of this kind of ai native system so kudos to work buddy and hope you found this useful a few things to know as you go ahead with this number one ai actions do use credits so storing files organizing them and editing by hand does not use credits if the agent is building something then credits are being used number two edits to written docs do wait for your approval that can be good or bad depending on the kind of work or how you like to work or engage with AI and then edits to web pages do just happen without approval and then overall i think this is best currently in its setup for lightweight agents and trackers as opposed to more kind of data heavy full custom app developments and i think that's a fit for most of you but it does depend on what you're looking for so there you go that is Work Buddy pretty cool system and much more AI native i think than its predecessors now again if you want to support the channel and try this out and you didn't already you can comment Work Buddy under this video or go to this link on the screen i hope you find it useful hope you learned something appreciate you being here and i will see you