Start Your Day With the Brief, Not the Forum

Marius Ciortea (00:00) first thing in the morning, we open the forum and see what’s happening And read some of the threads, and kind of get an idea of what happened overnight, right? Here, I would start now with the daily brief

And by knocking these things out, you have like accomplished 70 % of your tasks for the day.

Chris Heuer (00:15) And that’s why Marius built the Daily Brief as a skill you can run on your own community in Chat GPT or Claude. No IT ticket required. Download it for free from the top of the work map page on our website.

Chris Heuer (00:58) Good morning, good afternoon, good evening, wherever in the world you might be, thank you for joining us for what is officially our third episode of CommunityAssistant.ai. I’m your host, Chris Heuer, and I’m joined today, of course, by my co-host, Marius Ciortea How are you doing, Marius?

Marius Ciortea (01:14) I’m doing great. How are you, Chris?

Chris Heuer (01:16) I’m doing well. I’ll tell you this last episode, though, on context and what is context and what does it mean to a community? was a real bear to put together. Why? Because I started researching so much of it, trying to add so much more. Now, what we talked about

last episode was making this more actionable. And so context is actually now more affordable than ever because of AI. And that’s what we’re going to do for you today. Marius, what have you been working on? And let’s explain why this is so exciting for us to share.

Marius Ciortea (01:51) So yeah, I think today what we want to do is show an example of like how a daily brief could look like. It is something that I use myself. So it’s inspired by my community. But for this episode, I thought I’m trying to create it somewhat that everybody can use it and be a starting ground. Like as an example, how to work with AI as an assistant.

And then, course, to make your assistant the best possible assistant, customization, and your own point of view will make what we are presenting really useful. But that was kind of exciting to put together a first iteration of a daily brief for a community manager for everybody to use. And I think, Chris, people will be able to download this after the show.

Chris Heuer (02:35) Absolutely. No, we’ll put this up onto the Work Map as a featured skill. So if you just go to the Work Map on the site, you’ll see it right there on the top of the page as a featured skill that you can download and use yourself. and it’s really exciting about how you’ve actually done it because the way you rewrote this skill, you don’t even need to have an MCP server. You don’t need to get IT involved. If you’re a community manager for a small community or for a smaller organization, you’re going to be able to use this as well.

just as long as you have access to something like Claude or GPT, whichever one your organization allows you access to. And if they don’t, you can still kind of do this on your own. And and that’s really exciting. So tell me how you structured it before we get into it too deep.

Marius Ciortea (03:17) Yeah, so the idea here is that you don’t really need like deep access, like you mentioned, IT giving you APIs or an MCP server, because most, and most, think every single LLM these days does have capability to use either Chrome or Edge or other browsers as the sort of like eye of the AI, right? Or the…

AI ability to actually look at what you’re looking. And that’s how I thought about that. you know, we just need to go, if your site is searchable by AI, there are some limitations there. Some sites say like, hey, you cannot search with AI. But if that limitation doesn’t happen, you just basically point your LLM to the site that you want to crawl.

And we use that skill, of course, and then

it’s going to use the insights from the skill with the data from the site to kind of come up with this report. And the other thing to mention is if you are a community manager that is running a platform that doesn’t have an MCP, this still works fine because you can even give it access to your admin functions if

it’s accessible through the web or even as an application

with computer use.

and kind of instruct it to work with the daily brief if you want to create more actionable items such as maybe acknowledging messages or using that copy-pasting, creating emails to send to somebody internally. I mean, there’s really infinite uses once you have it, once you get it going. The hardest thing,

Chris, get it going, right? The first step, like, is the hardest.

Chris Heuer (04:56) Well, and that’s why we really talk a lot about how you have to learn a new mindset and thinking like a solution architect and actually adopting systems thinking and being a problem solver and in many ways being a real builder. I mean, this is that kind of you know, what I’ve called in the past a proveloper. You know, we used to talk about prosumer level cameras and those sorts of things.

Well, I think that the new tools that we have here with AI enable you to be a sort of pseudo-developer. And ultimately, if that’s something you’re interested in, you can build even more tools. But let me just share what I did here when Marius shared the skill with me. I was able to just go to Claude, paste it into Claude, and say, hey, I want to set this up as a skill that I can run against my communities. And after a little back and forth, it went ahead and just installed it for me. It created it as a skill.

I didn’t even need to go in the back-end settings and download the file or anything else. It was able to just load it. I then went and started a new session and we’re like, okay, what community should I run this against? And I chose the Skoolers community just to see if we could pick that up. After a little bit of back and forth, we realized that that was blocked so that the Claude browser couldn’t go and get it from the cloud, but I could co-browse. So I actually opened up a Claude co-browsing session. I started the skill in there again.

And I was able to run it against the Skooler communities. And we’ll come back and we’ll share a little bit about what we found from it there. But whether you’re a community member or the manager of the community, you have to also understand that people are doing this. People are able to watch you now more closer than ever. And I can tell you a little bit about what’s going on in the Skoolers community when we get to the end of this episode. But really easy to to get going at the end of the day if you have some experience with it. If you don’t have any, you’re gonna.

Work your way through it. And I just encourage you to do it because the output is fantastic if you’re pointing it at your own community to be able to understand what’s going on. And as Marius shared earlier, this is something that he runs every day and that he can look at what’s actually going on in the community and start your day with it to kind of get a sense of what’s happened in the last twenty-four hours.

Marius Ciortea (06:59) What other thing to mention, and I think this can lead into how we structure it and the six things I’m looking for when I’m looking at community. I took the approach of thinking of an intern, right? Not starting with AI. Simply like, if I had an intern and I’m asking my intern to do something on a daily basis to provide value to my day to day, what are the things I would ask him?

And I wrote a bunch of things down and that’s sort of how I narrowed it. The, the six things we’re going to talk about it is it’s really like from a human point of view, rather than, starting with like, have the power of AI. can AI do for me? So it’s, it’s, it’s, sounds strange, but it helps actually to humanize the wants because those are sort of the interactions that I think also, the LLMs are looking for. So like human natural interactions.

Chris Heuer (07:48) Yeah.

Marius Ciortea (07:49) versus trying to be very academic about your prompts and getting very detailed. more like, hey, what do I need? And then start there. And that’s how I built that skill up as well.

Chris Heuer (08:02) Well, at the end of the day, it’s about taking care of our community members. It’s about serving their needs. It’s about actually treating them like a human being. And so starting from there is a great place to go. Well, let’s let’s do this. Now remember, you can go ahead and find this skill on the top of our Work Map page on CommunityAssistant.ai. But the daily brief, you run this every morning. Give me the overview. What what are the things that we’re actually getting out of the daily brief as you have designed it?

Marius Ciortea (08:28) OK, so there are six components. So let’s start with the top. So the first thing that I want just at the top line is the top signal, at least I call it top signal. So the idea is, again, if I talk to an intern, I want the intern to tell me, are the things that absolutely I need to know for today? Is anything burning? Putting it in another way. So top signal, the AI just goes basically through the existing messages and

looks at is anything unanswered, there any friction in the communities I need to pay attention to? Like is a thread going really hot? Is something going negative in sentiment? All those parameters are built in in the top signal request, which is in the skill. But that’s the first thing. And I just want to get told like, hey, here’s the thing that’s happening in

the community today.

Chris Heuer (09:19) Yeah, and then actually, the next one that you’ve got around this, I believe, is what’s changed. And when we

Marius Ciortea (09:24) Yes.

Chris Heuer (09:24) and before jumping into that, I want to point out that this is again the idea of how do we assemble the context. What should I know? How should I act in it? And this sort of processing at scale is what AI is really good at. So we’re giving that work to the AI to present to us.

to

figure out. And that’s where coming back into our contextual assembly thing, contextual design, context engineering, it’s about aggregate, you understand, and then you can act. So what are we aggregating with what’s changed? I think it’s kind of obvious, but how would you express it?

Marius Ciortea (09:56) It’s again, like I said, like all things are sort of like aggregations. But what change is the idea that I would like to know if there is anything that massively has changed from the day before. And this could be, for example, a blog post has been posted and that is creating a lot of like conversation. It’s a major sort of like piece that didn’t exist the day before or a

whole mood has like changed from positive to negative. So it’s looking at multiple criterias and I know almost I’m thinking when we should open up the skill and go into like how I built every single collection of prompts Again, a skill is a collection of prompts thinking that way. So

Chris Heuer (10:40) Yeah.

Marius Ciortea (10:41) each item we’re talking about it is a specific prompt that looks for certain things. But what changes is it allows me basically again after the top signal

to just come in and go like, OK, these are significant things that are different today than it was yesterday. Maybe

Chris Heuer (10:57) Yep.

Marius Ciortea (10:57) a tutorial was posted. Maybe a knowledge base article was introduced. The AI will start picking up on those major changes in the community.

Chris Heuer (11:06) I want to get an overview in here and we’ll go through this a little more quickly. but there’s a couple of things here I want to point out to people on this. As you run this consistently, what’s changed is working on the memory of the prior days. So it actually understands

Marius Ciortea (11:19) Yes, context.

Chris Heuer (11:20) what the top issue was yesterday. And so maybe what changed is the sentiment with the top issue that you replied to yesterday has turned positive.

or turned more negative in here. So that’s

Marius Ciortea (11:30) Correct. Correct.

Chris Heuer (11:32) really important. The other thing in here is that while Marius has a draft skill and we’re sharing that with you to start with from the top of the Work Map page. You can customize this to your own needs, right? So you can change the nature of these questions. You can make them more specific about the things that are unique to your community. So top signal, what’s changed and now the next one’s need what needs attention. You can

Marius Ciortea (11:54) Needs attention. Yeah

Chris Heuer (11:55) you can refine this more to be your specific question.

To

get at what you really need to know and I think that’s really an important component of this.

Marius Ciortea (12:04) Yeah. And what I did also in the needs attention is I worked with the LLM to define a priority list, right? what would be considered urgent? What is considered sort of like medium? What is like low, right? And that helps like prioritized. So if you’re in a larger community with hundreds of threads that are open, you cannot go through every single one.

what you want help with from the AI is to identify which one is the one that I really need to take attention today. And LLMs are really good at that because they can infer the intent of somebody’s questions. Like it would get the difference between my production system is down, I’m getting this error, I need help now. Versus what do you think would be a nice sticker to put on my laptop, right? Those are like

both valid conversations and get people engaged. But the AI has to help you prioritize it because otherwise you’re going to be stuck in reading things. You have limited time, right? So needs attention is the idea of what should I pay attention to today? I it says it all there.

Chris Heuer (13:11) Yep. And then the next one after that is recurring patterns. So this is again one of those kind of standing things that it’s building on. So those first three areas are looking at what are those recurring patterns and what’s changed there. That that one’s pretty obvious. But now we’re getting to the we’ve got an understanding of what’s changed, what’s top, what are the things that are important for us that needs attention, what are those recurring patterns that we’re seeing. and now we’re getting that part of understanding it because we can look at it and kind of go, okay, this is

What’s going on? That’s why it’s important to us. But the next elements are the things that help you act, right? So so what are the next two components?

Marius Ciortea (13:48) So the fifth one is the coach’s note. here’s what’s the idea behind it. And this is coming from my sports background, having played basketball in teams and plenty of team sports. Coaches are really important to help you focus on what you need to accomplish on the field. That’s how I thought it. So the idea here would be, my intern kind of give me a little bit of a suggestion if I have only 20 minutes, what are the things I really need to close out today?

So the coach’s note is again, summarizing a little bit, everything that’s on top and goes like, if I were you and I have to spend 20 minutes, knock these things out. And by knocking these things out, you have like accomplished 70 % of your tasks for the day. That’s how I see the coach’s note. And then often what I do now, because I get this like every single day, I jump

to the coach’s note and say, because it is,

you know, I don’t have the time and it’s already summarizing what I need to do. And then I kind of like, if I have a question why that is, I go back to the top and kind of identify why this actually was pushed to the coach’s note. So it’s, it’s a shortcut. and for people that are more lazy like me to go directly into like, that’s all great, but what do I need to do?

Chris Heuer (14:59) Yep. And then the next element is your suggested actions, which is kind of similar, but it’s more of a bullet list, is that correct?

Marius Ciortea (15:06) So Suggested Action is where it can give you, depending how you write it, all the way to giving you pre-written answers, for example. So if you have this hooked up to your documentation, and let’s say somebody is asking a question that is, receiving this error code during installation, and the answer is actually a documented question inside a install guide that you already have on the site.

then the suggested action would be reply to this user with, and then it gives you a answer. Reply to user with, this is already answered in this thread, or please read this installation menu here to solve your problem, written as better than I just spoken, of course. And then you can just copy paste that and drop it into the answer if you want to,

or work with your LLM to actually, if you have MCP access or something like that, to directly answer it in. So it helps you move things along or you edit it. Of course, that’s what I would suggest is take what the AI wrote and then edit it to your liking to answer the particular problem, question, or take the action that is needed. So it’s something actionable now that you can actually do.

Chris Heuer (16:22) Now, of course, in in our last episode, what’s context in community management, one of the simple wins that you pointed out last week was the idea that you really just need to point it at your documentation. And that by

Marius Ciortea (16:37) Right.

Chris Heuer (16:37) just pointing it at all your documentation, your facts, and your other things and making it aware of it, having it ingest it and actually know that it’s there and rely on it on an ongoing basis,

within your project, ideally inside of your LLM, whichever one you’re using, it’s gonna have a better sense of being able to write those sorts of things to

Marius Ciortea (16:55) Yeah.

Chris Heuer (16:55) give you a suggested draft.

Marius Ciortea (16:57) So let’s repeat what we did last episode. You know, it started with aggregation, right? Documentation is how you aggregate some of the knowledge that you’re putting into the community assistant, right? You aggregating content and knowledge basis context in our, I hear in our case here, it will be the questions that an individual has and me as the community manager is having to take actions, right? That’s sort of like what brings the context.

And then you put it all together and you get actually the outcomes you want. So somebody needs something, the knowledge is there somewhere living in a KB or a documentation, wherever it may be. And then connecting those two is where the value comes in.

Chris Heuer (17:36) Hey, sorry to interrupt, but I need to thank our sponsor, Higher Logic. This episode and all episodes of this season one is supported by Higher Logic. The Vanilla platform is where customer communities live. Discussions, Q&A, knowledge base, ideation, moderation, all in one place and connected to the support and CRM tools your team already runs on. Higher Logic is community first. It’s not a feature bolted onto something else. It’s a whole product built by people who have been doing this for more than fifteen years. Here’s why that matters on this show.

When AI answers the question, Vanilla is where the humans show up next, where members find each other and where trust actually gets built. Visit them at higherlogic.com and tell them that you saw them on communityassistant.ai. Now back to the show.

Chris Heuer (18:23) You

are actually a beekeeper. And so that

Marius Ciortea (18:26) Yes.

Chris Heuer (18:27) really is very interesting to me. and I love the fact that you’re doing it because of course we need to save the bees. that’s a broader global problem. we can just reference it.

Marius Ciortea (18:34) Yeah, we’ll have a whole

episode on it, so…

Chris Heuer (18:36) Yes, yes. But you went ahead and just here in the minutes before we got started here, ran this against your beekeeper community. And so let’s let’s take a look at that. What what did what did it come back with and you ran the daily brief against your beekeeper community? If you were the community manager for it, what would you be looking at?

Marius Ciortea (18:55) All right, so here’s the community. This is the Flow Hive community, which is a product that I highly recommend for beginners to use. And it’s a good community to kind of have basic insights in community and beekeeping. Nothing too special about it. Community managers, you should be all used to this. There’s topics, there’s groups, and there are individuals having conversations.

So as a community manager then using the community skill that we

just talked about, I ran that through ChatGPT, which is the tool that I use most often. But of course you guys can use any tool that works for you.

Chris Heuer (19:35) Yep, and I’ll show in a minute what I did with Claude after after you’re walking through your daily brief here for the beekeeping community.

Marius Ciortea (19:41) Cool. And there you see the items that we just talked about. It starts with the top signal. In this case, it’s individual by the name of Emma Arden asking a particular question. It tells you when it was, about 11 hours ago. And it currently has no replies. So that may be something to look into. It’s a new member. We should probably do something about it.

The next thing is like what’s changed. Now, because I ran it the first time, know, and Chris talked to it a little bit beforehand, it doesn’t have a lot of context from previous community briefs that we have run, but it still kind of looked at a couple of developments that happened. One was a former member in Baja that had some important questions that need to be answered. And the other one was a little bit about spring harvest video that was posted.

and needed maybe a little more, you know, it’s important to know that it was posted in the community. Next one, driving into needs attention. And you can see the priority we talked about. Everything is in medium. So I’m actually not really stressing this, even something in low. But it gives you kind of like detailed information. Does this user need some clarification?

There’s a citation around HOA restriction, which is really fun because I like the thing that says nobody would know. So that user is actually trying to do something against their HOA I’m

sure that would be a fun conversation to look into. Then the recurring patterns. It’s kind of nice. Emerging need for guidance on honey texture and extraction, right?

So a lot of people now having conversation around this, maybe me now as the leader of Flow Hives can go in there and do a blog post around this particular item and would resonate with the community. The coach’s note we discussed, so here could we go into the actionable items. First 20 minutes getting useful response started from Emma and preparing an indoor hive clarification.

The re-use of Biija’s careful explanation to help answer and relate extraction questions. So you can see it’s a little bit related to the patterns that are existing and in trying to connect those two so that you can be in your answers. You have the right context now, right? Because there’s an aggregation of things, right? Right. Context on when you’re writing content, what would be most effective for engagement in the community? Yeah.

Chris Heuer (22:15) I want

to interject for a moment on this thing

to again put the additional context to our listeners and audience that again these are suggestions. it’s really important that you maintain your own agency and you don’t just automatically do everything it says. It’s gonna be right a lot.

Okay. And what I found even when I’m doing coding and just hitting yes, yes, yes, accepting its suggestions, is you can get into a pattern where you give away your full agency to the AI. This is what we really have to protect and work on for ourselves, for our own cognition and our own professional development, but also understand it still can be wrong, just like an intern. So remember that while you’re looking through this, and also realize that it is enabling you to see things that you might not have seen before that you never would have been able to see or act upon.

So

there is incredible value in it, but maintain your own judgment throughout all of this.

Marius Ciortea (23:05) So let’s go directly into suggested actions, right? And this is what we talked just a minute ago. It’s like, it gives you a pre-draft of how you can actually start interacting with a particular user. And again, agency is super important, but it is, in my experience, so much easier to start somewhere and then edit than having to do it from scratch. So here’s just a

Chris Heuer (23:24) Yes. Absolutely.

Marius Ciortea (23:27) suggestion, because we know Emma is new, right? And she has like a Flow Hive.

It’s starting with a question. Welcome back experienced Flow Keepers. What checks do you make beyond capped cells and what has made you postpone the first harvest? Please include your region, seasons, so newer beekeepers can put your experience in context. Crazy, the word context is back in here. So we didn’t even put it in there, right?

So it actually, now that she’s an experienced beekeeper, so I got this actually wrong, she would probably pay more.

extra attention. But what the AI is actually saying here, hey, this is very valuable for other members. Why don’t you actually give us a little more detail so others can learn from, right? And now I can literally

take that, go to the forum and start like either, you know, changing and leave it the same way, but it actually drives the engagement piece. And this is, think, becoming so important. And the last thing I want to mention, this stuff gets better, right? If you keep

the conversation going in the same session. And over time, it has the context of all the previous answers that you have given and has context of the previous problems people have solved. This just gets better and better and better. This was just me running this for the first time. You can see how the AI will actually learn

from this.

Chris Heuer (24:57) Yeah, and and now again I wanna so I I love this there’s couple things that are really important. I just want to reemphasize the idea of how AI solves what I’ve had a trouble with my whole life and many of you probably have as well, the blank page problem.

Staring at a blank page and going, where do I start? What do I do? Having that something there is a real blessing. And actually, that alone can save some of us hours a week from just sitting there looking at the blank screen, going, What the heck do I need to say here? But coming back to it, you you know, people are starting to recognize things that are written by AI. So that’s even another reason why we really do need to rewrite it and put it in your own voice. But this is again where.

You can start integrating and get even more complex with your daily brief over time. Start simple, but we can add into it. So you could actually have it have your voice skill activated and to have it calling your voice skill when it’s suggesting these sorts of things, right, Marius?

Marius Ciortea (25:55) Yeah, that is just one idea. You can take it in any number of directions with any number of tools. If you really want to get really complex, you can even create small videos that provide the answer. I mean, like, it gets, yeah, like I said, it’s, don’t know, you can take it as far as the AI lets you take it, which is very, far.

But

I want to bring it back, mean, it’s again, what we just want to do is make our lives easier. And instead of like going to the forums, the first thing, which we always should have done as community managers, first thing in the morning, we open the forum and see what’s happening in there, right? And read some of the threads, and kind of get an idea of what happened overnight, right? Here, I would start now with the daily brief to give you exactly the same thing. And then if you actually take a…

pay attention on the suggested actions, you will actually create that content that matters because the content is in context.

Chris Heuer (26:55) Yeah.

Marius Ciortea (26:56) And it takes a lot of work off you to figure out what it is in a lot of the guessing games. Now you actually have

suggestions that are real for you to do. And I guarantee that any community manager just following

these daily briefs and doing one of

suggested next steps will have a much more active community.

Chris Heuer (27:17) As we’re moving to a close, I want to I want to just add in one other element of the customization of this, which is that if you do have access to your MCP server for your community, you’re going to get a lot more data out of it. And if you do have access through the MCP server and you’re actually setting all this up officially, hopefully you’ll have access to your CRM systems. So you can even pull in more information about that customer. And when they have that issue, it can be presented and set up to actually present background information on.

what type of customer this is, what company they work with, how big the account is. There’s all sorts of other elements that we can add to present the daily brief with that additional context. And that’s where things get really exciting.

Now, what I was able to do, Marius, is to actually run this against a Skoolers community, because I’ve been trying to figure out how to use Skool better.

Now I am not a community manager here, but I’m just as we were looking at in the beekeepers community, but I’m able to get an understanding of what’s happening there.

And as we look at it, the top signal that it’s really having is that

nothing looks like a fire, but money questions are piling up without an official answer. Well, I guess this actually allows us to do some competitive intelligence here as well on other people’s communities, doesn’t it? And in this case here, I’m actually co-browsing with Claude, and that’s how I was able to access it. So if I can access a community on my local browser, even if it is password protected, and the

Claude can’t get to it from its cloud access point. I can go ahead and look at this on my own. And same thing for yours. If you don’t have an MCP access or direct access in the back end, you can go ahead and co-browse like I’m doing here and still run this skill against your own community, or as you can see, against others. And the coaching note here I really love. But the suggested actions that include a draft that I can use and edit, that’s really phenomenal. I really love how that works, Marius.

Marius Ciortea (29:12) And again, this will be available to you here after the show. Another useful example that I built internally is around the idea that we as community managers are liaisons between the customers or the members of the community and the company itself, the knowledge that lives within the humans within the company.

And often I spend my time of like, cause I don’t have the knowledge necessary to answer every single question. I’m just a community manager. Some of the things are very technical, especially in technical communities. And I need to find the expert within the company to actually come in and engage in the community. That is far more credible to coming from an expert and coming from me. So what I did a tweak is first I ran a query against the community and say, look at all employees that have answered questions,

over the past year inside the community. And based on the answers that they have given and the questions that were asked, create a profile of their skills and knowledge. So what that did is create a directory of experts inside for me so that I know within the company who is an expert in what,

right? So I have now that

knowledge and the LLM’s knowledge. And the next thing I did is in the suggested actions,

a portion, said, as part of suggested action, recommend to me who within the company is best qualified to answer that question. And then it creates, you know, when it gives a suggestion says, this is the question I suggest to go to Chris, because Chris is an expert in community as an example, to answer that question. And then it’s after that, it’s also asking me, do you want me to contact Chris to ask him to engage in the community?

And I go, yes. And then the agent basically sends a slack over to that individual with the original question from the community saying that you are probably very qualified to answer the question. Would you take a minute to answer it? And then the expert just clicks on it, goes to the community, answers the question. So much more effective than I was before. I simply just now connect people.

So connect the right answer with the right knowledge within the company with the right human to give the answer, which is even better than coming from documentation.

Chris Heuer (31:25) Yeah,

it’s really so much more is possible. Really, the sky is the limit on much of this stuff. And it’s just a matter of proving the value and starting to get some more time back enables you to do more things that allows you to prove that value across the company to support the product team.

to

support the sales team, to provide information to the upper management on insights that you’re seeing that actually drives real value creation in the company.

Marius Ciortea (31:51) Don’t forget about the members. And one of those people that we are connecting to is like our CEO. He’s sometimes the expert in everything. How cool is it when a CEO answers a question? And the CEO would have never had the opportunity or time to go to the forums every morning and see if they can do anything. Now through help of the AI and the human validation layer, again, don’t forget that it’s me who decided that this should go to that person.

and it’s the right person to answer it, create now tremendous value to the community.

Chris Heuer (32:23) And if you have a senior executive stakeholder like that who’s interested in engaging, that’s another sort of thing you can build into this skill and rewrite to add to your own, is look for

things that this executive would want to answer so that you can actually raise that in that daily brief and have that part of the context that gets presented to you every day so that you can see that signal and act upon it. Well, Marius, we’re here at the end of the time for our episode today.

Really appreciate all you’ve done with this.

Marius Ciortea (32:49) so thank you for this episode and love that we actually have something that people can now play with. And I would be really curious to see additions or how people make it their own. It’s almost like little like open source projects, you know, how people

get forked. If you are taking this and creating something

you believe is useful to others, please share back to us. We’re going to use the show to highlight the changes as well and share with others. That is how we actually going to make this stuff work with AI much better.

Chris Heuer (33:19) Well, we’ve come to the end of the show and I am just so excited that we have the ability to share this with you. Again, you can go to our community assistant dot AI website, go to the Work Map, and this skill will be featured on that top of the page. Thank you so very much, Marius, for joining me today.