How to Use AI Without Damaging Your Credibility, with Debbie Jenkins

How this transcript was made

Transcribed by machine from the published audio, then corrected by hand. It is not a verbatim record: the changes below were made, and are counted.

This episode

70 speaker turns, 37 changes.

• closing CTA identified as CTA 2 - Subscribe (v4) (match 100%), replaced with the authored script and attributed to Max; the 3 words spoken before it stayed with Debbie Jenkins rather than being swallowed by the substitution

What was changed in these transcripts, and what was not

Generated: 2026-09-20 from 2026-09-20-named/, itself transcribed from the audio that is live on the feed. Every change below is mechanical and counted. No sentence was reworded, no claim altered, nothing removed for being awkward.

The editorial decision

Owner's choice, 2026-09-20: light clean. "Um", "uh" and stammered word repeats ("and, and") are removed, because nobody intends to say them. "You know", "I mean", "kind of" and "sort of" are KEPT - they run to roughly 2,300 instances across the catalogue and stripping them would make the page read as somebody else.

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stammered repeat removed	667
um / uh removed	654
space before punctuation	241
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guest turn named (Joe Casabona)	101
organization -> organisation	71
diarisation fragment returned to the host	62
ai -> AI	57
empty turn dropped (was filler only)	36
synthetic outro restored from script	21
organizations -> organisations	18
hyphen followed by space	14
realize -> realise	14
A.I. -> AI	10
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behavior -> behaviour	8
synthetic intro restored from script	8
analyze -> analyse	7
behavioral -> behavioural	7
recognize -> recognise	6
percent -> %	5
personalized -> personalised	5
skeptical -> sceptical	5
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optimization -> optimisation	4
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What was deliberately left alone

• "Program". A computer program keeps that spelling in UK English; only a broadcast or a scheme is a "programme", and only a reader can tell which was meant.
• "License" and "practice". Both have a noun/verb spelling split in UK English that a rule cannot decide.
• Capitalised words mid-sentence that would otherwise have been respelled: 4 of them, most often part of a name. Left as spoken.
• Retired show and brand names. Spoken by the host and guests. A transcript that removes what was said is not a transcript.
• "Co-pilot". Sometimes Microsoft's product, sometimes the metaphor. A rule would corrupt the honest ones.

The synthetic segments

The opening voiceover on the archive episodes and the closing call to action are read by Max, the show's AI narrator, from a script written in advance. Transcribing them means guessing at words already on file, and the guesses were wrong in places - one opener came back as "an AI that boned him up" where the script says "phoned him up". Those passages carry the authored text instead, and are attributed to Max rather than to the guest: the diariser groups Max with the non-host speaker, which would otherwise put a real person's name on words they never said.

Alastair McDermottWe're in the middle, or maybe at the start of a crisis of credibility, AI generated content is starting to ramp up,

we're seeing it in all of our social media feeds, it's potentially going to impact on elections this year, and credibility is going to be massively impacted,

and so that's why I'm really delighted to bring a brilliant guest to speak with me today, she's an absolute expert in credibility and AI, she's a thought leader, and that's why

Debbie JenkinsShe's perfect for this show.

Alastair McDermottAnd today my guest is Debbie Jenkins. Debbie, you are very welcome to the AI Powered Thought Leader.

Debbie JenkinsHi Alastair, thank you for having me.

Alastair McDermottWell, you are somebody who I've been wanting to speak to for a couple of weeks now, we connected, but as soon as I saw what you're writing about now in your new book,

I was like, okay, I've got to get this person on the show to talk about this. You've been writing books for about 20 years,

Debbie JenkinsYeah? Yeah, I wrote my first book 20 years ago. Makes me feel very old. A business book, yeah, but

Alastair McDermottThat was about 20 years ago, yeah. Cool. So, let me just ask you the question this way.

If a good friend of yours or a business connection or acquaint ance described your thought leader credentials, how would

Debbie JenkinsThey describe you? I think they would describe me as almost always on the edge, on the front, but just a tiny bit behind.

So, I was there when the internet got started, you know, World Wide Web turned up. I ran a web marketing design company all those years ago, 90s.

And publishing, print on demand, when print on demand came out, I was there with that all started. And now AI.

Alastair McDermottAnd so, I know that we may share something else in common. So, I have a software engineering background. You do have an engineering background of some kind. Is it software?

Debbie JenkinsNo, it's electronics. I'm an electronics engineer and tele coms. Ah, so, I'm a real engineer. Yeah, we're the real. No, mechanical engineers are the real engineers. Well, this is true, yeah.

Alastair McDermottCan you tell me how you think about thought leadership?

Debbie JenkinsYeah, I think, for me, thought leadership. So, there's, I think it's quite easy to think. I think it's easy to think. I think thought is interesting.

And taking in information, thinking about information, absorbing information, synthes izing information. I think that is all fabulous.

But for me, thought leadership, people, the people who are thought leaders are the ones who break from that brain or what's going on in the brain and get something into the world.

And I think that's the brain world barrier.

So, thought leaders, for me, are the people who take in all the information, synthesize it, and then turn it into something else in the external world for other people to understand and see.

Alastair McDermottYeah, so, there's the, I mean, thought part of the phrase is important, but the leadership is also a very important part.

And in order to lead, you have to publish or create in some way, right?

Debbie JenkinsAbsolutely. Without that creation, you're not a leader, you're just a thinker. Nothing wrong with being a thinker.

I love thinkers, but I think it's that turning it into an asset, into an event, into a book, into a podcast. That is the leadership part of thought leadership.

Alastair McDermottAnd now let's get to the crux of the matter. So, we called this episode, How to Stop the Credibility Crisis, because your book is called Stop the Credibility Crisis.

Can you tell me about how you think about thought leadership and the issues now that we're seeing with credibility, particularly in the context of AI?

I know there are some other issues as well. We'll get to those maybe in a little bit, but particularly in the context of AI, how do you think about this whole problem?

Debbie JenkinsOkay. Well, I think, I don't think the credibility crisis is a brand new thing. I think it's been something that for the last 20 odd years or so, we have been butting up against.

And the way I think about the credibility crisis, especially for expertise-based business owners like thought leaders,

like consultants and coaches and creators, is that we have a challenge to take care of, maintain and augment our trust and desire in the market.

And without trust, people won't want to work with us, and without desire, they don't have anything that they want to buy from us. And we have to manage these two things.

And so, trust and desire, I think, are managed through three things, which is disruption, creation and connection.

And so, those are the things I, those are the dials we can turn to increase the desire for what we do and to augment and increase the trust in why we do it and who we are.

And that's, I think, the crux of credibility. And the reason that there is a crisis is because, well, trust and desire are being damaged.

They're being broken and ruined and attacked from so many different fronts.

Alastair McDermottSo, let's talk about why that is. And, like, I want to get into specifics because when we're talking about trust, and so, I see trust as the, like, the foundational piece or maybe,

like, the currency that we use when it comes to, particularly in B2B professional services and expert services. Because what we're typically doing for our clients is something that's risky.

And so, they have to take a risk to do it. And so, we need that foundation of trust. And historically, that trust has been passed through personal referrals and word of mouth.

And that's where, the way that I think about this, I think that our content is substituting for that personal referral

So, if somebody comes across me and doesn't know me, but they've read three or four of my books, and then they listen to 20 or 30 episodes of my podcast,

that is a substitute for the trust that they would have got through a, let's say, a warm recommendation from somebody that knows

Debbie JenkinsMe.

Alastair McDermottSo, then, if we think about it like that, and, like, please correct me if you think about that in a different way.

But if we think about that, then, for me, if people don't trust my content, then, and what I've published, then that is a major issue.

Debbie JenkinsYeah, and it's really fascinating because what you're talking about right now is this movement that we've gone through for the last 10 years,

I don't know, maybe longer, where content, you know, we have these phrases, content is king and all of that.

And our content, the things that we create and put out into the world, as little babies, our assets, they do do a lot of the heavy lifting for us. Right now, and that is how we build trust.

You know, somebody might make a referral, but then the person being referred will go and check you out and look on your LinkedIn and check out your podcast,

see what, if they agree with you, if they have similar values. And so they will go and check you out.

What we're having now is that that content, that asset that builds trust is now being created by AI. So is it really you? Is it really trustworthy?

Is it really a credibility clue any longer? And so that's where I can see this credibility crisis causing us problems.

Alastair McDermottOn the other hand, one way that I think about AI is as a tool.

And I think people are nuts, crazy, if they're not using it in the same way that I think that an accountant who refused to use a calculator or a spreadsheet would be crazy.

So how do we balance that equation? Because I think that we should be using these tools. But on the flip side, I think that, you know, we need to maintain trust and credibility.

So how do we do that?

Debbie JenkinsYeah, that's brilliant because, and I think of it exactly the same way. So I think of AI as a tool and just like a tool, I don't know, like a hammer.

The hammer isn't the thing that does the job. It's the person wielding the hammer, knowing how to use the hammer, using it in the right way is the important thing.

And the hammer is just a tool. And AI is just a tool. And what is happening, so what needs to happen, and I think what happens with most of my clients, is they use AI as the tool.

So it's used to make things faster, make things smoother, make things, finish things, integrate things. But it's not the thought. It's that comes from the thought leader.

That comes from the expertise-based business. And I think there's a risk that what we see in the world right now is non-thought leader-generated AI stuff, which is a repeat.

It's basically drawing information out of the large language models and just reorganizing the word salad and popping it out there.

Versus how I want my clients to use it and how I use it, which is use the large language model, use the AI, but have guardrails,

guidelines, and use it as a tool for your thinking to come out more quickly with different modes, different ways of presenting the information.

So you can't get away from using AI, and you shouldn't, because it is a tool. But I think we have to be more careful and cautious of how we use it.

Alastair McDermottYeah, so what you're talking about there is the training data set that these things have been trained on. Those are this sum of knowledge that has been fed in.

We don't know exactly what knowledge has been fed in and what hasn't.

And also there's ethical issues about people's information and books and things being used in the training set without their permission. So all of those kind of issues as well.

And that's like a completely separate issue to talk about. But this is a can of worms.

Debbie JenkinsYeah, big can of worms.

Alastair McDermottSo, but this training set, if you get your, if you take your bog standards, ChatGPT, and get it to write something for you with very limited input,

it's going to go and write something that is almost by definition, literally mediocre, because it's the average of all of the data that it's been trained on.

And so what it's going to give you back may actually be plausible.

And I mean, that's really what an AI, these large language models are, is they generate the most plausible answer to the request that you make. So it's by definition, it looks plausible.

And I think that's the real problem with this is the output out of, at a very kind of surface glance looks okay.

Debbie JenkinsYeah, it is. And that is part of the credibility crisis, because how does somebody coming to a bland AI generated content and thought leadership content make that differentiation?

How do they know? And I think there are lots of telltale sides, but that's because we are in it, but for the consumer of that content,

there's a bigger challenge, and that is part of the credibility crisis, because we need to signal to the consumer of our content that we are real, live human beings with real thoughts.

And yes, we may have used AI to help us get that thought into the market faster and more efficiently, but it's still us doing the thinking.

Alastair McDermottAnd I guess that's the crux of the matter, because I do want to use AI.

I absolutely do, because I think it would be silly to look at the, for example, the fact that I can do spelling grammar checks very quickly and easily.

The fact that I could get it to give me five different title suggestions for an article when I'm trying to come up with a title, because quite often that's the hardest thing

Debbie JenkinsTo do.

Alastair McDermottYou know, using it for all of this is fantastic.

There's so many different aspects of this that I want to use, but at the same time, I don't want people to look at my content and say, oh, that guy is just creating everything with AI.

And so I find it hard because there's a line somewhere. Where is that line?

Debbie JenkinsYeah, if you know the answer to that question, then I think you're going to make a million pounds. No, that is a really good question, because it is, where is the line?

And I think at the moment, we're all pushing the line. We're testing the line. We're seeing how far, I mean, I play with AI.

I've been playing with AI for years, and I'm really excited by it. And I can see so much potential.

And on the idea of subject, like, I'm going to, this is a really interesting point that you brought up, which is titles. So books are my world.

Right, if you ask an AI, ChatGPT, let's use ChatGPT as everybody's favourite, I suppose.

If you ask it to give you 10 title ideas, it will, and it'll do a great job, and it'll come up with 10 title ideas.

And you'll go, all of those are quite plausible, all of those are quite sensible, they're okay. But they might not actually turn the reader on to being a reader.

And so it's that testing process that humans do. We test it with somebody, we check it, we see their face, we see their feedback.

We might put three titles up and people go, oh, gosh, we all hate number one. And the AI can't do that. That's what we do as humans, and that's what we do as thought leaders.

We get that, we go from idea, and then we get it into the real world, and then we see the feedback, we see the faces,

we hear the responses, we can see if somebody goes, oh, that's, you know, we see that nuance, that differentiate.

And then we as humans can understand that and take that back in and make decisions.

Alastair McDermottThe issue is, once the AI can replicate all of that.

Debbie JenkinsOh, damn God, someone's going to shout as I click the microphone. But seriously, don't go there.

Alastair McDermottRight, so that's part of the can of worms that we're going to kick down the road for the moment to mix metaphors. Yeah, so, okay, so we agree that there's a line somewhere.

We agree that we probably should be using these tools, because it's probably crazy not to. You might not say that. I definitely believe that strongly.

Debbie JenkinsNo, I am in agreement, completely in agreement with that.

Alastair McDermottSo, now, in the last episode, I spoke with my friend Joe Casabona, and actually, we had this debate maybe six months ago.

But I ran the episode on the podcast, because it's absolutely pertinent to what we're talking about. We were talking about, did you write that?

So, how do you define if somebody wrote something?

And so, my argument here is, if I dictate something, I dictate my thoughts into AI, and then I ask it to take it, tidy it up, and give it some polish in terms of the formatting and things.

My argument is, yes, I wrote that. And he said, well, you can say that you created it, but not that you wrote it.

And now, since the beginning of time that we've had writing, we have had ghostwriters. And humans have been using ghostwriters, you know, for years, for millennia.

So, you know, and then, you know, we have other things like, for example, the Bible as a document. I'm not talking about anything to do with the religious

Debbie JenkinsAspect of it.

Alastair McDermottJust purely, as a document, it is a synthesis of documents from many different authors that have been put together and edited, translated, all of this interpretation and everything.

And so, we have, like, we have these kind of amalgamations that, you know, entire religions, dominant religions in the world are based off of.

So, to say that me dictating something into an AI and having it reformat the text means I didn't write it, I just can't agree with that.

I think there's too much, I think there's too much prior work to say that, yes. That, you know, that, and so that, for me, it's, where is that, where is the line?

Because if, because what I didn't mention here is, if my dictation was, you know, three minutes versus 30 minutes.

So, if I say, if I give three minutes of dictation and say, I want you to write a 500 word article or, you know, or a book, let's say an entire book based on this.

And I speak for three minutes versus if I speak for 30 minutes or an hour or six hours. It's very different because it's the amount of input that I'm putting into that process.

And so, for me, I think that's where the line probably is somewhere, is figuring out how much input you need to put

Debbie JenkinsIn.

Alastair McDermottBut then there's also the other aspect of it, which is we then need to check the output, right?

Debbie JenkinsYeah. So, I have this model, okay. So, I have this, I'm an engineer, so engineers, we do models. We can't stop you doing models.

I have this idea, which is chaos, constraints, creation, okay? So, we live and learn and be in chaos. But then in order to create something, we go through constraints, engineers.

So, those constraints, at the moment, one of those constraints could be an AI model.

So, you go to a conference, you read six books, you listen to a podcast, and you have all of that chaos going around in your head.

You dictate that to your constraint machine, which could be an AI in this case.

And that constraint machine, because I do this, by the way, then takes your crazy thoughts and organises them for you and turns them into a creation,

into a summary or an article in your case. Or for other people, it might be a book, okay?

So, in that process, if the input came from you, the chaotic, crazy person here, and then went through the machine as the constraints, then I believe I'm on your side, Alastair.

I'm on your side. You wrote that. I like it.

Alastair McDermottI like that model as well. And so, if I got that right, chaos through constraint is creativity, yeah? Yeah.

Debbie JenkinsBut you have to go through constraints, because otherwise you're just, like, I don't know, crazy.

Alastair McDermottYeah.

Debbie JenkinsOkay.

Alastair McDermottSo, all right. So, where are we at now, then? You know, we've kind of talked around this a bit. We agree that we probably should be using AI.

We should be giving it lots of input, or, you know, we should be inputting enough. Is there some sort of equation of the amount of input versus the amount of output?

Debbie JenkinsYeah, that's a really good question. I like using my AIs as kind of little thought partners, where you give it lots of input, you ask it a few questions,

and it gives you something back, and then you argue with it and disagree with it. I do. But very politely, because just in case, you know, they do take over the world.

So, you have this kind of backwards and forwards. My thought about where that line is even if it's 51% you, then that's better than 49% you, in my opinion.

I would prefer to see 70, 80, 90% you. And I can spot when it's not 70, 80, 90% you. Because there are telltale signs, especially from ChatGPT, it's hilarious.

But there are telltale signs of what the output comes out. But I think one of the things I would like to mention here is you said you put stuff in.

And I think one of the things that people don't realise at the moment is how much of our stuff we can put in so that it is concentrated on what we believe,

what we say, our voice, the way we think about things. Like, my Jap chap GPT has a whole bloody list of standing orders. These are my rules. These are the things I think about.

These are my models. These are my methods. This, I will never say this. I will all, my lexicon, I have long lexicon lists. I will never say it like this. I will only ever say it like this.

And then that gives it what I think of as like guardrails. It can't go outside of my very strict rules.

And then I think with that, even if I only gave it 51%, because it already has a bit of me in the background, it's going to get closer to me as the output. Yeah, I agree.

Alastair McDermottAnd I think that they're going to get better and better at being able to store more, like ChatGPT are talking about ChatGPT memory,

which is going to allow it to store more information over conversations and more context. I use custom GPTs, which are basically a version of ChatGPT where you can upload your own documents.

And what I do is I turned all of my books that I've written into text, so I uploaded those. I also took a bunch of my blog posts. I pulled the RSS feed off my blog, off my website.

I put every blog post I've ever written in there as well. And so when I ask it to write like me in my style, it now has a big database.

Like it's probably got, you know, 200,000 words that I've written, maybe more, that it can now process and work and

Debbie JenkinsFeed off.

Alastair McDermottNow, there are other issues. Then there's privacy issues and there's like OpenAI now have all of my data.

You know, they could just take that and feed that into the training data set for the next version of ChatGPT. Not a lot I can do about that.

Personally, so just speaking for myself and the risk that I'm taking, I'm happy to take that risk. I think that the value that I get from it is big enough for

Debbie JenkinsThat.

Alastair McDermottThe other thing that you mentioned is custom instructions.

And I'm going to go and talk to you about this when we get off the interview because I want to see your custom instructions because I think that I could probably do a better job of setting

up those guardrails. And in particular, like there's certain words that like you and I know that we will see like delve and realm and things like that we always see come up, you know.

And I always see there's certain language constructs that I always see coming up, like it's not this, but this. And I see that all the time.

And so the other issue is what if we start to falsely identify somebody, like if there's somebody who writes with, you know,

impeccable grammar and punctuation and everything, they may actually look like an AI because they're not making enough mistakes.

Debbie JenkinsAnd then do we go the flip side and do we say, well, let's

Alastair McDermottIntroduce some deliberate mistakes into this to hide the fact that it's AI generated.

You know, there's a whole there's a whole other kind of worms there about trying to obfuscate whether it's AI generated.

So can you tell me more than like, how do we stop this credibility crisis?

Like, so what's what's your what's your path forward to to kind of if not removing the problem or fixing the problem, but at least mitigating it somewhat?

Debbie JenkinsYeah, I think I think you really need to think about creating.

So I think about if you ask ChatGPT, write me 10 LinkedIn posts in the style of and you gave it like a real, you know, high, you know, some of the people.

Alastair McDermottMalcolm Gladwell or somebody.

Debbie JenkinsYeah, and it will do that for you. And that's not you. But they will be very, they'll probably be very good in the average sense of the word. OK, but they'll be very good.

But they're not you. And what we're finding happens, I find happens, is that I call it bro coming. Like we have this high desire, like here's my asset stack.

Here are all the things you're going to get. This is like you buy this, you get this, you do this and it's fantastic and you're going to get six pack. And there's this really hyped desire.

OK, so that's that's the wrong thing we need to do.

And then the other, I think that's bro comes and the other wrong thing we need to do is what I think of as bore comes, which is I've been doing this for a million years.

I've got all the qualifications. I know exactly what I'm doing. And there's that sort of like and I'm a coach and I can do coaching.

And if you want to buy some coaching, there's some coaching here. So that's the boring. And what we need to do is take, I think, to head off the credibility crisis to manage it.

We need to actually get into what I think of as the credibility quadrant, which is high desire and high trust. So, yeah, we need those qualifications.

Yes, we need those testimonials and those case studies. Trust. But we also need to amp up the desire.

And I think for many expertise based businesses, especially when they use AI, they tend to zip up the desire.

And it sounds really like, I don't know, over the top crazy and forget about the trust. And you need to, you need those, you need both.

You need desirable products and services and articles and podcasts. But you also need to demonstrate that trust with real case stories, your story, your qualifications in relation to.

So it's moving both in both directions to get into that credibility quadrant, not just one direction.

Alastair McDermottOne of the things you mentioned there is your story. And I think that this is where, I think that this is where personal brand comes into it.

And so for me, I think that this is possibly one of the few things that we can do that should help us to mitigate this to some degree,

which is to create a personal brand and become known for who we are. And so like, I've been doing that through podcasting and writing books and doing videos and live interviews like

Debbie JenkinsThis one.

Alastair McDermottI think that getting, becoming known as an expert in your field, I think that that's one of the very few, gaining that external visibility.

It's one of the very few things that we can do that will actually help kind of fight against this, like oncoming tsunami, I think, of information.

Some of it, which will be misinformation, some of it, which will be poor quality, but some of it's going to be really good as well.

And so the only way to stand out is to create some sort of personal brand. Do you, do you think about this in that way?

Debbie JenkinsAbsolutely.

And you can tie two things, two of your thoughts there together, which is, you mentioned about the GPTs earlier, which are like your own little mega AI bot that has a certain job to do.

It has a certain function to do that. You tell it what to do. And add that to your own story, right? So I created this little GPT, which is called the Failure F iles GPT.

And it asks you questions. So it can ask, it asks any of my clients questions, which asks them questions to find out about the real them.

So not the pretend, the pretty version that they're putting on Facebook, you know, the real them.

So it asks them the four failures, which are the first time you did something, the first time you failed at something,

when you failed at something, how you screwed something up, the fact it up, and how you fought back. And I have one of these GPTs that asks me those questions.

And every time it asks me those questions, I made these up. Every time it asks me those questions, I answer slightly differently. It depends on the day of the week, because I'm a real human.

I'm not, as some of the average, I'm a real human. So I will answer it differently, because something happened this morning that I screwed up, and now I can answer it that way.

And so that helps me with the branding. It helps me with my personal branding, because only I have done things for the first time, not the AI.

Only I have failed at doing things in my company or my business or my life. Only I have done things really badly, and fed them up big time, and only I have fought back.

And so when it asks you those questions, your answer, and it only reflects, my little GPT that I've made, just reflects those back to you. It just rewrites them.

You write them in scruffy notes or speak them in scruffy notes, and it sends it back to you, knowing that, because I have my guardrail set up,

standard instructions, my rules, it sends it back to me in my words.

But then it's my story, my words, my branding, my, and I'm just using the tool to pull it all together, to get there faster.

Alastair McDermottYeah, that's really interesting.

And what I'd like to do is, any of those that you have publicly available, I'm going to get them from you, link them in the show notes along with your website.

Is there, as we start to kind of finish up here, is there anything that I haven't asked you about or that you think is really important to think about when it comes to AI and thought

leadership?

Debbie JenkinsWell, this is how I think about books right now with AI, which is, if the AI could write it, why should a human read it, okay?

You know, you as a writer, as a creator, want humans to consume it, not AIs to consume it. So you have to put you in it, because otherwise, why would anyone really want to consume it?

We could just do a quick search on Google or whatever. We could do the same prompt. You didn't get the same results.

And so this is the thing I really want people to get, which is use it as a tool, but it has to have you in it. Otherwise, it could be anybody, and we're not interested in anybody.

We're interested in you as the real person, the real person that did things well, did things wrong, came over, overcame things.

And, you know, so I think that is my big thing, which is use it as a tool, not as a replacement.

Alastair McDermottYeah, I like that. Well, Debs, thank you so much for coming on. It's been great to chat with you about this.

If people are interested in finding more about you and learning about your book, can you just tell us when it's going to be published and a little bit more about that and where your website

is?

Debbie JenkinsYeah, so the best website for the book is thecredibilityc risis.com, and it will be coming out on the 29th of April. I completely forgot that. 29th of April. And this is what it looks like.

Well, this is a prototype version of it. It's got all the scruffy notes in it. So there you go. Start the Credibility Crisis. Awesome. Coming out 29th of April.

Alastair McDermottSuper. And debbiejenkins.com, I think, is your website. Yes, thank you.

Debbie JenkinsYeah. Awesome.

Alastair McDermottAnd I will put all of those links in the show notes wherever you have listened or watched this video. So, Debbie, thank you so much for coming on the show today.

Debbie JenkinsAlastair, thank you.

MaxThanks for listening to Something About AI.

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