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Will Francis Build Better AI Marketing Workflows
AI Agent

Imagine waking up to find your competitor research finished, your content ideas waiting, and your marketing priorities already organized – all before your first cup of coffee. Will Francis shares how he’s building practical AI workflows that do the heavy lifting behind the scenes, giving marketers more time to focus on the work that actually needs a human touch.

Where AI Belongs in Your Marketing Workflow (and Where It Doesn’t)

I spent a good chunk of the last couple of years trying to train AI to write in my voice. It gets close, which is why I now say “draft” instead of “write.” I still go through every line and make it sound like me. (I’m actually doing that right now, since this post was drafted by my AI…official disclaimer at the bottom.)

Will Francis, an AI and digital marketing educator who teaches for the American Marketing Association and the Digital Marketing Institute, goes even further. Stop pointing AI at the content your audience sees, and start pointing it at everything they don’t.

Start Behind the Scenes

AI in marketing is putting a lot of people under pressure right now. Bosses and clients hear “you have AI now” and expect twice the output in the same hours. Will’s take is that the gain is real, just not as dramatic as the hype suggests.

His advice on where to aim AI first is to skip the public-facing stuff. “You’re using the wrong tool for the job,” he says. “Your brain is the right tool for the job.” Chasing the perfect tone of voice out of ChatGPT or Claude is a quick way to drive yourself a little crazy.

The better targets are the jobs nobody sees: AI market research on competitors, your industry, and your audience, plus content organization, process management, and data analysis. That lines up with my own experience. Connecting AI to Ahrefs and Google Analytics to pull client data has paid off far more than coaxing it to sound like me.

A Research Assistant That Starts at 6 AM

Will’s content process starts before he’s out of bed. Every morning at 6, Claude sweeps social media, checks his competitors (and finds new ones), and builds a report on what’s trending and where it overlaps with topics he likes to talk about. Three tools feed it: Apify for scraping, vidIQ for video insights, and TokScript for grabbing transcripts.

I run something similar with Claude Cowork, which sorts my email into three priority folders each morning.

From there, Will picks an idea, has AI gather the facts, reads for 20 or 30 minutes, and talks his thoughts into Wispr Flow so Claude can draft a script. He rewrites it out loud, records it, and writes his own captions.

Keep It on a Short Leash

In his AI content creation process, Will never lets AI take big steps without him. “Lots of checkpoints with you is the key,” he says, because results get better when the AI comes back to check in often.

Ask for Primary Sources, Then Read Them

When it comes to AI fact checking, Will asks both Claude and ChatGPT for facts and reminds them to bring primary sources, meaning the people who discovered the finding rather than someone reporting on it. He has chased plenty of stats through one marketing blog after another without ever finding the original study.

The second step shouldn’t be skipped: read what comes back. Will says two good things happen. You get smarter, and you start connecting dots, which leads to takes the AI would never come up with on its own.

Your draft might wander a bit as a result, and he’s fine with that. “You want some of that slightly out of shape,” he says. He compares it to music, where a track locked perfectly to the grid is never as interesting as one where the players push and pull around the beat.

AI Video Editing With Hyperframes

This is Will’s newest addition. Hyperframes is an open-source video editing skill from HeyGen. You install it with a one-line terminal command, and it gives your AI a browser-based editor where it can build edits with motion graphics in a few minutes.

Will gives feedback out loud with timecodes, like “at 33 seconds, do this or don’t do that.” When he’s happy, he asks for a 4K export. If he finds the browser editor fiddly, he asks the AI to port the project into CapCut.

A year ago he scoffed at AI video editing. He says newer models changed his mind.

A few cautions. If the word “terminal” makes you twitch, you’re not alone. Will says it’s safe as far as he knows, given the reputable company behind it. I’d still read the install page and check the requirements before you run anything.

So, What Is an AI Agent?

Will keeps the definition simple: “The folder or the project is the agent.” Start a new project in a desktop AI app, point it at a fresh folder, and tell it what you’re working on. It writes instructions for itself in a file, then keeps a memory file of what you’ve done.

Add scheduled tasks and it starts to look like AI agents for marketing. Each morning it could check Google Search Console for keywords stuck on page two, look for new People Also Ask questions in your niche, or run a site audit and flag anything broken. Will runs separate projects for his website, SEO, and content research, and thinks of them as AI employees.

The Four Cs for Better AI Workflows

If your AI workflows are stuck on inconsistent prompts, Will’s four Cs are a good place to begin.

Context. Tell your AI what you do and what you’re working on, and give each new project background documents. Skip the prompt engineering. “It’s all about context engineering,” Will says.

Connectors. Add the apps you use every day, like Gmail, Google Calendar, Notion, or Airtable, so your AI can do real work in them. It’s what turns AI marketing tools from a chat window into a coworker.

Capabilities. When a task goes well, ask the AI to turn it into a skill so it does it the same way every time. That’s the idea behind Claude skills, and ChatGPT has its own version.

Cadence. Schedule the things you do regularly. That’s AI marketing automation at its simplest, and Will suggests a morning briefing as a starter.

Your Next Steps

  1. Spend ten minutes telling your AI what you do and what you’re working on.
  2. Hand off one research task and read what comes back.
  3. Add “bring me primary sources” to every fact-check prompt.
  4. Turn your next successful task into a skill, then schedule it.
  5. Keep your posts, captions, and comments yours.
  6. Want live help? Will is opening a community for marketers, and you can join the waitlist at willfrancis.com.

This post was drafted with AI assistance from my interview then edited and fact-checked by me. Thought you should know.

Transcript From Will Francis’s Episode

Rich: My next guest is an AI and digital marketing educator, creator, and speaker with 20 years of experience helping brands put technology to work. A former MySpace editor and digital agency co-founder, he now teaches at organizations including the American Marketing Association and the Digital Marketing Institute. His focus is making AI practical and accessible, helping us cut through the hype and find useful ways to apply it to our everyday work.

Today, we’re going to learn how we can use AI in marketing to build better workflows without losing our own voice in the process, with AI educator Will Francis. Will, welcome back to the podcast.

Will: Thank you so much, Rich. It’s really great to be here again.

Rich: It’s always nice to see you. Now, as I mentioned in the bio, you’ve had a long interesting career. Not many people I get to speak to on the show have a MySpace history. What drew you towards AI?

Will: I’ve always been really interested in technology, and particularly when the internet first became popular, I was straight on it, and I wanted to put things on that internet. And then social media came along in the form of things like MySpace, and I thought it was just so cool that people could put things there, right? Content and people congregating around content and shared passions has always been my thing.

But then AI comes along, particularly November ’22, ChatGPT lands and everybody suddenly takes notice of AI. And to me, there’s an opportunity there. There’s an opportunity there to scale what we do to go beyond what I’m personally capable of.

I don’t have staff. Okay, I have little bits of help from various people, but in general, I do it all. And so what I saw with AI was the opportunity to do more, to get around to things I never would have gotten around to otherwise. And I think that’s the opportunity for people in marketing as well.

I don’t think it’s taking anyone’s job. But what I do think is it is going to allow you to do things that you just never would have done otherwise, and to scale things and to get around to things that are on the back burner. To sort your SEO out, to put out more content, do all those things you know you should be doing, but you don’t have the resource. And so that’s where we’re at.

Rich: Now Will, you said ‘opportunity’, but I think a lot of people are feeling pressure to use AI more, and they’re not sure where to make it most useful. How do we figure out where we can use AI so it’ll actually help?

Will: That’s a great question. Firstly, I can’t immediately help with that pressure, but what I’m about to say will help. So I understand a lot of marketers feel like their bosses and their clients are expecting more work in the same time because, “Hey, you’ve got AI now, so surely you can work twice as fast.” And we all know that’s not quite the case. There’s definitely a gain, but it’s not as dramatic as people think.

So where should we start to point AI? The first thing I would say is a really clear delineation I can make for you is that I would not use AI on the public-facing stuff to start with anyway. I think you can drive yourself crazy trying to nail your tone of voice. And ChatGPT and Kloud, they’re amazing, but they still can’t get your tone of voice right, and they still can’t write things and create that public-facing content in a way that doesn’t sound like AI. And so that’s not the best use of it. You’re using the wrong tool for the job. Your brain is the right tool for the job.

But where AI can help is all that stuff behind the scenes. And if you think about it, in marketing, most of what we do is behind the scenes. It’s the research, it’s the competitor research, industry research, audience research, all kinds of research. That should be a huge part of your job in marketing, and if it isn’t, then you need to address that.

And then it’s the organization, it’s the process management, content management, all that kind of stuff. And then, of course, it’s data analysis. And so there’s actually loads that you can do with AI and still everything that meets the public, your LinkedIn posts, your TikTok posts, the comments on Instagram Reels and all that can and should be you because that’s where you’re best at showing up.

Rich: What you’re saying very much matches my experience over the past couple years with AI, where I did spend a lot of time trying to train AI to speak in my voice, and it gets close, but I always use the word ‘draft’ instead of ‘write’ now, just because I expect that I’m going to go over it and make it sound more like me. And more of the effort has been the scenes, as you say. I’m just doing more with research. I’m connecting it to Ahrefs and to Google Analytics to pull in data for clients and stuff like that.

Would you mind walking us through how you create a piece of content from beginning to end, say you recommend or where you are using AI, and then specifically where you’re not, right up until the point where you’re done with that piece of content and ready to move on?

Will: Okay. So what I’m going to say, I’m going to preface this by saying that I personally have an approach where the AI doesn’t take very large steps without my intervention. So I’ve got a very back-and-forth thing going on with AI, and I find that that’s not because I’m idealistic about the beauty of human involvement or anything like that. I just find the results are better when you don’t let it run very far before it comes back to check with you. So lots of checkpoints with you is the key.

So how do I make a piece of content? Let’s take a piece of social content. That’s what I’m best known for is short videos across TikTok, Instagram, YouTube, Facebook, et cetera. So firstly, every morning Claude goes and does a complete sweep of social media. I don’t know what I’m doing. I probably might be in bed still. It’s going to be 6:00 AM, so yeah, I’ll still be in bed. And every morning at 6:00 AM, Claude finds what’s trending. It looks at all my known competitors but also finds new competitors. This is across all social channels. That’s because my Claude is connected to three tools that allow it to do that.

Apify is an absolute godsend. If you don’t know about Apify, firstly, you’re welcome. Because you just have found out about it. Apify can scrape any website, any data source, anything, even platforms that are quite hostile to bots and scrapers like LinkedIn and TikTok. It can scrape them, so it can find out what’s trending on those platforms, and it can also scrape your own content as well to keep a record of that and help you do reporting. So Apify is great, and it’s really cheap. It’s maybe a few dollars a month for using it at that level.

Then I use something called vidIQ. vidIQ is an absolute must if you are interested in growing a YouTube channel. But anyway, it works across other video channels and again, that allows you to grab insights and other kinds of data from other channels.

And then also a far more niche, less known tool called TokScript, which can quickly grab the transcript from any video platform. So between those three things, one way or another, I can analyze what’s trending, what’s going viral, what my competitor’s doing. And then what Claude does is not just report that coldly, but Claude has a think about that and what my version of any of that. Is there any opportunities for me particularly? Do any of those intersect with things I like to talk about? And if so, then I can see that in the report it gives me that I wake up to every morning.

So that’s the beginning of it, and that’s the research that would take me a long time. And then I’ll say, “Oh I’ll be having my coffee in the morning, and I’ll talk about one of the ideas. I’d like to do a version of that. Go and fact-check. Go and find some real facts and bring them back to me about this topic.” So maybe it’s a topic like how much energy AI uses or how much water AI uses, something like that. Something that people are interested in, it’s trending, great. And it goes and finds the facts.

What I then do is I use Wispr Flow, which is a very popular transcription tool. You can just talk to your computer. And I just waffle my thoughts about that based on all the reading I’ve done that morning, because Claude has basically given me my reading list. And I might have spent 20, 30 minutes reading. I say what my thoughts are. Claude then writes me a draft script. I rewrite that script, again, by speaking it out into an Apple Note, and then I record it.

So you see there’s this constant back and forth between me and the AI. Then I put the video footage… This is a very recent addition. I’ve only really switched to this. I put the video footage into Claude, and with the hyperframe skill, which is just amazing, it edits that video for me. And it took a while, but it has now learned my motion graphic style, what I like, what I don’t like, how I like captions done, and how I like my grading done, and edits that for me.

Again, I speak my feedback at various points in the video with time codes. I just say, “Oh, at 33 seconds, do this or don’t do that.” And then it gives me the finished video, and that’s ready to go on social media that day. I post on social media manually. I’m slightly suspicious about social media posting tools.

And I get really good numbers, so something’s working. And I just post manually. I write my own captions manually. I do not get AI to write my captions. So from the platform’s point of view, this looks like and is 100% human content. It’s original piece of video with human written text captions. So that’s the pipeline for that. Does that answer your question?

Rich: No, that’s great. I was making some notes as you were talking. So I do have some questions and comments, starting with a comment. I love the 6:00 AM approach while you’re still waking up and waiting for that first cup of coffee or cup of tea to be ready.

I do the same thing with Claude Cowork in the morning, where basically I have it sort through all my emails, and I have three different folders, one, two, and three for priority. It understands what I’m looking for and sorts them automatically for me and moves everything around, so that’s great.

You mentioned fact-check, and this is something that I’ve run into. We all know that AI hallucinates. Do you have a specific process for fact-checking? Because I know that sometimes when I’ll say I need to get some information that was very specific for a chart, and I said, “Please go to real websites that are legitimate, backed by the government or backed by a major college in the US.” Maybe not backed by the government, but that’s besides the point.  And then also talking about I don’t want influencer information. I don’t want somebody who’s just trying to trend on TikTok to say something. Do you have a specific process for making sure that the content you’re putting out there is factually accurate?

Will: Yeah. There’s two things I often ask my AI, and I do use both Claude and ChatGPT amongst others. I’ll often ask the those two things. Fact-check, bring me the facts, but also I remind it, bring me primary sources. So there’s a difference between primary sources and secondary sources, and you’re absolutely right.

And what’s so interesting is you might see a stat like 80% of businesses in the US have adopted AI. And you’ll go and look at where the source for that is. And it’ll be on a Hootsuite blog or something like that, a HubSpot blog, right? And you’ll go and look for the source of that. You’ll click through, and that was just on someone else’s blog. And quite a few times I have gone down the rabbit hole, and I’ve never been able to find the primary source. So I just tell Claude or ChatGPT the stat must be from the people who discovered that fact, not from not secondary reporting. So that is really important.

But there’s another thing here that’s really important, okay? Look, some people listening to this are just going to not be interested in doing this. I genuinely believe that if you get it to bring you the facts, and you then actually take time to read those facts, two good things happen. Again, I’m not being idealistic. Two good things happen.

Firstly, you get smarter because you take the time to slow down, take a breath, and actually read the source material yourself, which is good for you. But secondly, what you will then notice is you join dots in your brain, and you’ll have thoughts and opinions and takes and ideas on how that could be represented. And then when you speak back how you want that to be formatted for the reader or the viewer into your AI, you are now producing something that the AI could have never come up with because what you will be producing will be in truth something that’s less perfect that maybe winds and rambles in a slightly different way.

Let’s say a blog post, it may not have that perfect logical flow to it. But that’s good. You want some of that slightly out of shape. You don’t want it to be perfect, right? And so it’s like music. I’m a musician, as you can tell, all the stuff behind me. And I know that when you make music and everything’s exactly on the beat because you’ve done it with a computer, it’s never as interesting as when everything’s slightly ahead or behind the beat because the musicians are getting a little bit excited, they’re getting ahead of the beat in that bit, or they’re dropping behind in that.

And those imperfections actually just make it more palatable for the end user, whoever that is. I can pretty much guarantee you that is an upgrade. It’s not just me being, again, idealistic about human input.

Rich: Excellent. You also mentioned something called Hyperframe in Claude, which I’m completely unfamiliar with.

Will: Yeah.

Rich: So what exactly are you doing with these videos? Because I’ve never really done anything with videos in Claude directly. I’ve taken transcripts, of course, and put them in there, but what are you doing step by step in that?

Will: Okay, so there are two very popular let’s call them ‘skills’ that are open source, are out on the internet. One’s called ReMotion and one’s called Hyperframes. I like Hyperframes. It was built by HeyGen, who are best known for their AI avatar product. But it’s completely open source. So if you just Google Hyperframes you land on a page, it gives you a one-line terminal command.

As far as I know, it’s safe. I would like to say it’s totally safe, but so many people use it, and it’s from a reputable company, so I’m okay with that. It’s a one-line terminal command. Don’t get scared by that if you’re not technical. Just put that in terminal, and it will download the files needed to install this video editing skill into not just Claude, but also ChatGPT. Any AI where you’ve got the desktop version of the app will be able to use this, but it’s only if you’ve got the desktop version of the app.

And the reason why it works is what it equips your, let’s say, Claude or ChatGPT with is a browser-based editing interface. And you can see that it just opens a browser window, and suddenly you can see this kind of Adobe Premiere Pro or CapCut-esque interface. But it’s one that your AI has direct access into, and it can spawn full-blown complex video edits with motion graphics in the space of a few minutes.

Now, you can then go in and edit it, although I personally find Hyperframes a bit fiddly because it’s browser-based. But what I do is, a little tip for you if you don’t like that, I just say, “Can you now port what you’ve done into CapCut?” And the AI is well able to do that in another few minutes. But for most things, I don’t bother. I just give it spoken feedback. I say, “You do it. You edit it all in Hyperframes.” And then when I’m happy, I say, “Export it in 4K,” and you get your video file.

So I can tell you that in the last couple of months, we’ve really turned a corner on video editing because of Opus 5.5 in Claude and Astra and the new Sol model in ChatGPT. Those models can do video editing. And trust me, I was so skeptical. A year ago when people started talking about video editing, I scoffed at the results people were getting. I even said in my content, I’m like, “Guys, this is literally like my ten-year-old got ahold of Canva. So bad.” But now it can absolutely do it. So you could be putting so much more content out in social.

Rich: Yeah. That’s interesting. I’ll have to play around with that.

Will: Yeah, seriously.

Rich: We’re hearing terms like “assistants” and “agents” and “skills”. What do we need to understand about these terms to actually work with AI in a process that we can repeat day in and day out?

Will: That is a big question. It’s a good question. There’s some terminology there, and the terminology’s changing by the day. It’s what keeps me in a job. That’s why people need my videos to make sense of it all, right? Currently, there are a few different classes of either product or way to use the product. So for instance, when people say “assistants”, now what they’re referring to is something like ChatGPT Dots, Claude Duet, Meta Muse, GrokBot, et cetera. And what all those things are, are an always-on, 24/7 thing.

Let’s say, assistant, that whether you are in the app or not, it is potentially doing stuff for you. So for instance my Dot, just before this call, texted me to flag up… this is my ChatGPT Dot. Just to flag up that someone’s asked me if I can send them something tomorrow, but it’s also flagging that I’ve got an all-day workshop that I’m running tomorrow. So it’s this proactive AI that comes to you. You can prompt it as well, but it comes to you. And that proactivity is really interesting and very helpful. So that’s the assistant side of it.

But if we’re saying what’s an agent, there’s lots of people who give you different answers here. I’m going to make it simple. The folder or the project is the agent, okay? So when you use Claude or ChatGPT, I would hope you’ve got the desktop app. And to anyone listening, I would massively recommend you get the desktop app. And when you get the desktop app, what you can do is when you start a new project, you basically create a new folder on your computer, and you work in that folder on files in that folder, right? That then essentially becomes an agent because it leaves instructions for itself in that folder.

In fact, that’s the first thing you should always do with a project is when you go New Project, select which folder, make a new folder, and the first prompt should always be, “Set this folder up. I want to rebuild my website, and here’s a few things that you should know about it, and my current website is at this web address,” and just set the folder up for now. And what it’ll do is it’ll write itself some instructions that Will wants to rebuild his website, and this is his current one, in an agent.md file, which is a markdown text file, and it’ll leave that for itself. But then as you work through that project, it will add to those instructions, and it will leave, maybe even create a memory.md, so it can remember things and log the things you’ve worked on.

And essentially, that becomes like a sub-brain, a compartmentalized sub-brain, if you like, within the wider ecosystem of Claude or ChatGPT. And of course, within those projects, if you want to make it feel more like an agent, all you have to do is add scheduled tasks. So for instance, in my website, I could build my website, but then I could say every morning look at Google Search Console, look for opportunities where I can rank better for keywords I’m already ranking for, but I’m on page two or beyond. Or look at ‘people also ask’ questions in Google and see if there’s any new ones in my niche and add them to the content list. Do an Ahrefs site audit and fix anything that’s broken.” And so you could have all those things scheduled within that project. That to me feels about as agentic as it gets.

And I think when you start to think about it like that, it opens up this whole world. Because then you start to think, “Oh, I could have all these different kind of AI employees”, and I do. I’ve got my agent looking after my website in that project. I’ve got a whole other SEO project over here. I’ve got my content research, et cetera, et cetera. So I don’t know if that answers your question, but I think they’re the two most useful manifestations currently for me of the mainstream AIs.

Rich: All right. I know you’ve got a community for marketers who are looking to better leverage AI.

Will: Yes.

Rich: What gets you most excited about this community, and what were you trying to create that you couldn’t find elsewhere that got you to start the community in the first place?

Will: I just encounter so many confused people for good reason. It just so happens my job is to obsessively try all these tools out. But unless you’re given that time, it’s very confusing. And so the reason why I’m launching AI for Marketing on School, which actually is very exciting because I haven’t launched it yet. I’m spinning it up in the next week or two. I’m literally just finishing the last course, which is fun enough about video editing using all the latest stuff that we’ve got here that we’ve talked about.

So my aim with the community is to really not give people a load of on-demand stuff, weekly live workshops where people can ask real questions about real stuff they’re working on, and get that real kind of bespoke, more kind of one-to-one feel with me, rather than a load of on-demand stuff to wade through. Because that’d be out of date anyway. And that’s another problem with so many AI courses. They’re out of date by the time they hit the internet.

And then also, a like-minded community of people who are in a niche of marketing and want to really work this stuff out and make it just useful not only them, but their colleagues, their bosses, and their clients will then start to see what AI can really do to grow a business.

So that’s my aim, and it’s very exciting and I can’t wait to get it launched in a couple of weeks. There’s a wait list. If you go to willfrancis.com, you can join a wait list, pop your email address in there, and I’ll get you started. You’ll be joining for free as soon as it launches.

Rich: So depending on when people listen, it may be live, it may not be live, but regardless, you can get on that wait list.

Will: You can at willfrancis.com, yep.

Rich: Now, if somebody’s listening and they want to start putting some of this AI into action in their workflows, and up until now maybe they’ve just been playing around with some prompts and getting some inconsistent results, what would you recommend is the first thing they do to really start building out these workflows?

Will: That’s a great question because that’s where a lot of people are, is with prompts. So remember the four C’s. If people take one thing away from this, I want them to remember the four C’s. I just realized I hope I can remember them. That would be funny, wouldn’t it? So the first one is context, connectors, capabilities, cadence.

Okay, what do those four Cs mean? If you can just work through these, then you are using AI in just a sophisticated way as I am. So the first one is context. I know this is basic for some people, but I want you just to tell your ChatGPT or Claude what you do and what you’re working on. You can just do that in a new chat. When was the last time you told it exactly what you do, what you’re working on, where you live, what your family situation is? And it will add that to its memory. Or you can manually go into custom instructions, and you can do that in your settings. So start with that context.

But also what context means as well is remember that when you start a piece of work, like we talked about new project, new folder, give it any existing documentation or point it at existing stuff on the web so that it can learn and get background information. It’s very good at doing that now, at guessing what it needs to get up to speed on the task in hand, just like a human would. So that context is key. And by the way, prompt engineering was always BS, but nowadays don’t worry about prompt engineering. You don’t need to worry about that. It’s all about context engineering. If you can give it the context, it knows what to do, and then you can just talk to it like a human. Context.

Connectors is the next thing. Your AI will massively get more useful if you add apps like Gmail, Google Calendar, Notion, Airtable, whatever it is that you use. Just go into connectors or plugins or whatever it’s called in your AI and add the apps that you actually use. Connect them. Yes, it’s safe if we’re talking about Claude and ChatGPT. Now it can do real work for you. It can set up a Zoom meeting. It can put it in your calendar. It can grab your meeting notes after the meeting, etc.

The third one was capabilities, which is skills, really. Every time you do a task with Claude or ChatGPT and you’re like, “Ooh, that was good. I’m probably going to do that many times again.” Maybe you’ve just done a press release or something. You’re like, we’re going to be doing two of those a week.” After the task, say in the chat, “Now we’ve done this and we’ve perfected it,” because you will always have to perfect it with rounds of feedback. “Now turn this into a skill so we can do it this way every time.” And then it will remember to do it that way every time. And again, it will become effortless to do the next one and the next one.

And the fourth one is cadence, which is about those scheduled tasks. Again, if you do something with Claude or ChatGPT and you think, “Yeah, that’d be great if that happened every day,” or “Now we’ve done the monthly marketing report. Can you do this on the last Friday of every month for me?” Or like our daily tasks that we’ve talked about, Rich. Start some of those. Just try one of those. A morning briefing is a good starter scheduled task like yours, Rich. But anything that you do regularly. And honestly, if you just start on with setting up those four things, like I say, you are now using AI way beyond just basic prompts.

Rich: Awesome. Will, if people want to learn more about you and everything you’re doing, where can we send them online?

Will: Everything you need to know about me is at willfrancis.com. You can see all my socials, my newsletter, my community right there on the front page. I just actually rebuilt my website using ChatGPT, so it’s as clear as it could be.

And look, if anyone’s got a question, I am freely free of charge available anytime, will@willfrancis.com. I’m here for you guys, honestly, and it will cost you nothing. And I’m always happy to help people get more out of AI.

Rich: Awesome. Thanks so much for coming back. Always appreciate seeing you and hearing what you’ve got to share.

Will: Thanks, Rich. Really appreciate you having me on the show.

 

Show Notes:

Will Francis is an AI and digital marketing educator, creator, and speaker who specializes in making AI practical and accessible, without losing their human creativity. Learn more about Will, his courses, and his AI for Marketing community at willfrancis.com.

 

Rich Brooks is the President of flyte new media, digital agency offering branding, web design, and digital marketing located in Portland, Maine. He is also the founder of the Agents of Change. He’s passionate about helping small businesses grow online and has put his nearly 30 years of experience into the book, The Lead Machine: The Small Business Guide to Digital Marketing.

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