Original subtitles

That's where I'm leaving.

I get that the chat GPT was created so that it could be

chain of thought prompting.

I get that.

However, chain of thought prompting is based on single thought prompting

and they just extended the model.

So they're trying to get you to that anyway.

So I just tried to go there.

Yes, so you can use ICP.

Sorry, Mark asked, um, I can't remember, read the questions.

Um, so, uh, you can use the ICP throughout the rest of the

chat in the variable example.

Yes, you can.

Um, Harry, you just said by using variables, so I'm not sure.

Oh, that the,

oh, that was the extension of your earlier question.

Um, I hope I answered that for you.

All right.

I think, is that the last question, Mark?

Uh, you want to start over?

Cecilia, you're lost.

Would I lose you?

I'm sorry.

No, I was saying start back in March, the beginning.

Oh, you want to start over, over, over.

Great.

Um, I do see, I see we have a question, um, from Nan in the Q&

A about writing a marketing quiz.

Need a question for a quiz with four responses.

Yeah.

So Nan asked that earlier.

I need

to know the specific case and we could probably sit and, and do that.

And this is part of what, um, Jeff was saying last week too, like the, one of

the things that's going to happen is there's going to be a new career for

people who can write effective prompts.

Right.

So, um, then yes, we, so what we have.

Uh, because it will need to be extended from where you are.

So, and do you want the entire quiz?

Or just question need a question for I really want the format in essence.

So I've got a quiz.

I want it to make up a quiz question.

I wanted to make up the 4 responses.

There's 4 categories or buckets.

And so, therefore, the response.

I want tied to an individual bucket, but I want all four of the

buckets represented in the question.

What it tends to do is break it up into here's a question.

All responses go to this bucket.

Here's another question.

All the responses go to that bucket.

And I want every question.

Have each of the four responses tied to each of the four buckets.

Yeah, I gotcha.

Embracing that, it just, I have to write it and rewrite it, and I'm like, geez.

So, it's going to get confused there, okay?

And the reason it's going to get confused is, and I can guarantee, I haven't

seen your prompt, but I'm going to promise you one thing about your prompt.

Your prompt is actually contradicting itself in some places, and that's

what's going to confuse it.

Okay.

Uh, and that's not anything personal.

Um, Linda and I worked through a prompt a couple months ago where

she had the exact same thing.

And to her, it was, Oh no, this seemed like one, one thought.

But then when you actually looked at how the computer would look at

it, it was started conflicting.

Okay.

Um, the thing that I will tell you is an example is going to help you.

So you're going to have to, so you're going to ask it, you not what dropped

your, did you drop your prompt on my, um, form on the, in the, uh,

in the Google doc, no, I don't.

No, because all I saw was your handout.

I didn't.

Okay, so I finally got it.

But now I'm like, how did I get it?

Because I do this over and over again, you know, I've got,

because I do, I write quizzes.

And so I know there's a way to exactly write it and I just thought

you might be able to help with the language of it of the prompt.

So, write down what you say.

Okay, but but so hold on, but you figured out the answer.

Yes, several times I have, where it has done it, but now I'm

like, how did I, what did I say?

How did I ask that?

Okay.

Do you have a version of when it did it right that you can share?

I probably can.

Yes.

Yeah.

If you're willing to share that with me, I can help you understand why I did it right

and how to make it repeatable because that's ultimately what we do because

we represent so many different clients.

We have to figure out how to take a prompt.

And make it in a way that it's, it's going to repeat great answers,

no matter who the client is.

I can probably find that, just a second.

So, if you may want to go on to something else, let me look for a minute.

Um, up, up, up, up, up, up, up.

Questions, Mark?

Uh, let's see.

Oh, let me make sure I've unmuted.

I actually asked a few and I was muted the whole time.

So anyways, uh, Stephanie has a question.

I may have missed this one on, of the trainings I missed while traveling,

but have plugin recommendation recommendations been made.

I keep hearing about one that supposedly makes it so chat GPT gives current

info, but I don't know what it's called.

So I'm guessing current info would be, uh, full live info.

Yeah.

Yeah, so the, um, the ability to browse.

Um, we'll get you to current info.

Um, what's hysterical is, in case you didn't know, Jasper now does that too.

And they released it before, ChatGPT, and they're Jasper Chat.

Um, and so we'll still see how that actually works and, and how you

actually can use the data that it gives you or how, how great it is.

Um, the plugin I'm super excited about is, uh, I'm gonna sound

like a real old school nerd.

Um, this APR plugin, that's got me excited.

Sorry, I missed the answer.

Hatiba, did you say what it's called?

Whatever plugin we need so it will look for information from 2023 instead of 2021?

So, that, that would be the browser plugin that, that um, ChatGPT is releasing.

Um.

It's not available yet?

It is not.

At least.

It's not widely available.

Few people have it.

I'm not one of those few people.

James might be though, putting you on the spot, buddy.

It's funny.

James always gets access to everything like the day before me.

And he's like, Oh, I got this.

I'm like, yeah, I don't have it.

Okay, so I did put that in chat in question, the Q and A.

So I think that is the one that is going to get me the response.

But then I gave you an example of a question

on what it produced with the responses it produced.

Is there a better way to ask that?

Okay,

so

your prompt was, write a question on challenges with business strategy

and planning or branding and customer journey or marketing and sales.

I would rephrase that whole sentence to start.

Yeah, just tell me and I'll write it down should be three responses for the

question with tied to one of the child.

But okay, so but you didn't define you say tied to one of the

challenge areas, but you didn't define what the challenge areas are.

Yeah, that's the business strategy and planning, branding and customer

journey, marketing and sales.

Those are the challenge areas.

Yeah, it looks like what you need to do is separate all this into separate questions.

I was afraid to put a comma in there.

So you think I need to just say there are three challenges?

And yeah, and the three challenges are this, this, this, and then

I'll reference that to be able to answer the question in those areas.

But the whole thing is you should, this should be like three different

prompts is what I would do or four.

Really?

Oh, wait a minute.

But I only want three responses to the question.

Yeah, but the way you're producing it is just, um, clunky is the word.

Yeah, that's why I'm asking you to rewrite it for me.

Okay.

Um, so you, at the end of the day, you want to, uh, a question for a challenge on

business strategy, planning, or branding?

No, that's what it.

I want, I want a question with the response going to one of those three.

I got that.

So before we get to, to that, you're not giving it the question.

You're asking it to figure out the question for you.

Correct?

Yes.

And you're then asking it to figure out the response and

which category it goes to.

Yes.

Okay, so from a logical perspective, it can do that and it can do

that in one prompt for you.

Okay, the logical perspective is the first thing is, hey, this is my topic.

I'm looking for a question, just one question, except I'm going to

say 10 questions, but that's okay.

Yeah.

Start with one.

Okay.

Run it 10 times.

Okay.

This is my topic.

I'm looking for a question for this for a question.

The question will have four possible responses.

The response categories should be, and then give the name of the category

and a description of the category.

And I should say X, X and X, right?

Define X.

Well, X is the three challenges.

Yes.

Writing them out.

The response category should be branding and blah, blah, blah, blah.

Should be X, so X, X, and X.

Defining what X is in each case.

Yes.

Um, okay.

And that will help.

I'm trying to find something else for you here.

Um,

for an actual prompt.

And I want to be sure there's no duplication.

Because once in a while, it'll give me two of the same one, and then the other two.

And leave one out.

And that's where now the example comes in.

So, after you write everything that I just said.

Say an example would be and then tell it question and give the question

that answer one is and give an answer and said this is this category answer

to is this category answer three is that category to be very specific in

the response that that you give it.

Does that make sense?

Uh, yes, it does.

Uh, but

I'm afraid what it will do is not really tie the response to the category,

that response to that category.

I can try it and see if it'll do it.

And as long as I have an example, I think I can just say, use this example, can't I?

I'm going to say something in, in, in absolute, absolute love.

Okay.

Um, but it may sound a

Right.

You said, I'm afraid it's going to do something.

Yeah, but we don't know what it's going to just try it.

If it does, we'll figure it out.

Okay.

I'm going to drop a prompt that

may help you.

Okay.

You're putting it today.

No, I'm going to put it in the chat.

Yeah.

Okay.

If it doesn't help you, just ignore it.

Okay.

All right.

Um, there anybody else you can have that to, um, this prompt, what it does

is it actually creates carousel posts.

Is this the right one?

Make sure I put the right one in here.

I think I did.

I think this is the one that creates carousel posts that, that then

creates, turns a carousel into a pole.

Carousel into a pole.

All right.

It's,

um, I don't think you actually want that Indy.

I think that would hurt your head even more than it hurts mine.

Um, actually, no, I think I did drop the wrong one.

And that one, I think does just a carousel post.

This one here.

Here, take that one.

Uh, let's see.

Okay.

Um.

Actually, while you're trying that out, you want to check

on, uh, Stephanie's question?

Sorry.

Yes.

Thank you.

Uh, do we want to help ChatGPT by limiting the number of words we use in our prompts?

For example, would it help if instead of typing the word and, we used an ampersand?

Or does that not matter?

So you're not helping chatGBT, you're helping yourself with that.

Okay?

Because remember that the point of it is, especially in 3.

5 and 3, you're limited in terms of the number of words.

Right.

Um, and really it's about characters more than it is actual words.

But, you know, as humans, we don't think in characters we think in words.

Um, and so it's an approximate of about 4000 words.

Right.

Um, so that's not actually going to when you do that to you.

You limit the number of words so that it can return more response to you.

That's the bottom line.

And and versus ampersand is not going to make enough of a difference to care.

Have you counted the words in your, like, killer first

prompt that's three pages long?

I haven't.

It just works every time.

And believe me, I have some prompts that don't work every time.

I have, we uh, we did a prompt.

So, real talk for a moment.

One of the things that we're working on right now is LinkedIn prospecting.

And, anybody use LinkedIn Sales Navigator?

The whole point of, of, A GPT model is that an AI is that it takes a bunch

of data and finds commonalities and data that the human eye can't see.

Just the whole point.

And then it predicts what's, what the next set of responses will be.

Okay.

So we got the bright idea in LinkedIn Navigator, um, because we always just

get stuck with the, um, the criteria for Navigator to find the people that we want.

And so we got the bright idea.

Could we write a prompt that took the profiles of Five LinkedIn

navigator people that are our ideal customer and then create the

LinkedIn navigator search for those.

Anybody interested in something like that?

Yeah.

We were super interested too.

And we got it to the point where it will only take two,

it will only take two profiles.

We go to three profiles and it just craps.

Every time, but two profiles is not enough to actually give you enough

data to find anything worthwhile that the human eye couldn't see.

So we're still working on that.

And if we get it done, I'll let you know, let me rephrase when we get it done.

I'll let you know,

but that's kind of my point about why prompt engineering is, is important

because it allows us and why having these conversations are important.

Six weeks ago, we would have never thought of that, but because we're using

prompts to help us ideate our generic content or not generic, general content

for our clients now, and that's sped up and given us so much time back.

Now it's allowing us to solve problems that we didn't even

realize we could solve before.

That's the beauty.

Of what AI can do for us.

Yes.

Actually, I just got another question from Michelle.

I must have probably in the chat or something.

Uh, do you start every chat with the master base prompts or do you

start a new chat and tell it to refer to the master base prompt

chat that you've already saved?

So that's a good question.

Um, no, I don't start every prompt with the master chat.

The master chat is for when, like how Jeff was doing when

he had his different clients.

And you have a chat that's generating content for this client.

That's when you do it.

If you're just asking a one off question, no need,

no need to go through all that because it's a lot.

It takes, it's going to take a good 45 minutes to set it up correctly.

No need.

But if you're going to return to this for the next eight weeks,

then yeah, it's worth the time.

All right.

Let's see.

We got Vicky too.

Another question, Bard or ChatGPT.

This space is moving so much.

Uh, how the space is moving so much, how much have you played with Bard

and what and who is it better for?

So that's a really great question.

I'm going to answer it in this way.

Um, so in case you hadn't noticed, Jasper uses four different

models to produce content.

And if you actually listen to them, there's actually

five models that they use.

If you're really, really listening, okay?

Why is that?

Because every single model does something different and does

something better than another one.

So if, if you want to write in my opinion, just straight writing, Bard wins.

If you want ideation, chat, GPT wins.

We're building an app right now that is designed to help you with

ideation of video content, basically everything that we do at our agency,

it's encapsulated inside of one app.

And so we're going to be doing that.

We're going to be using two or three different models to

help produce content because.

Bard's going to do a better job writing a video script, whereas chat

GPT will do a better job writing the, um, the, the, the title, right?

And who knows?

Anthropic may do something else better than, than the others.

And so we may use two or three different things to pull together

to create one piece of content.

These are tools.

They're not AI,

like mid journey in your process?

So prompt engineering and mid journey.

I'm not, you know, and, and, um, honestly, here's why I spend so much time in, um,

written prompt response and engineering.

And I know that world.

And the reality of the fact that I am visually a dunce.

You just haven't practiced it.

That's all it is.

It's when I need some, I'm just going to call Mark cause he's super good at it.

I will say that the prompt engineering definitely has an

application within mid journey.

The big difference between something like chat, GPT and mid journey or any of the

graphic kind of creators is there is some.

Abstract aspects to it, like the stylized function on mid journey.

What the heck does that mean?

You know, it's, uh, it's kind of a term that's thrown around, but

you can't really decide what it is.

So, whereas you could be hyper specific or at least a lot more

specific with the chat GPT, it's a little harder with mid journey.

And a lot of those, because it's.

It's an art platform, essentially.

So you have to incorporate that lack of science into it.

But with that said, there is a way to phrase information.

There's a way to manipulate, uh, you know, specific prompts.

Uh, and it does have a few more of those, uh, kind of tailored aspects

like the stylized function, uh, that you don't have on chat GPT.

Can I share one last thing, Mark, before we go?

All right, so showed you some a little bit abstract.

Okay.

Um, so here's my master prompt again, uh, big thing that I changed this time

is look at the, um, the expert, right?

So my expert is an expert in content marketing.

Looks like Clark Kent.

But has a friend, Atiba, who is Superman.

They have run a content marketing agency and currently are the president of digital

marketer, educate an education company.

Anybody know who that is, by the way, just a random friend of mine.

Um, the rest of this stayed the same.

Then I asked it to produce a video script about how to make money.

raising chickens in Texas.

Um, and it wrote a pretty decent, goofy, silly little script.

And he said, okay, that's just another silly example.

Let's get, get real though, T, but we're not writing scripts

about chickens in Texas.

Okay, great.

So what about a blog outline about the customer journey, customer value journey?

Well, he gave me a blog outline and by the way, It knew that

this should have eight stages.

We're on the right track, because it's not one of those four stage

customer value journeys, right?

So it gives me this blog outline.

Okay, great.

What about, um, something, let's get a little SEO now.

Let's get some, some keywords, some, and semantic keywords.

How does that work?

Okay, so I'm looking for keywords and semantic keywords, and the expert for

a blog, and same blog title here, and

it's going to give me some stuff as well.

So you can absolutely use this for very, very practical things.

As well.

That was my last example.

Awesome.

Well, thank you so much, Atiba.

I think, uh, you know, the whole format is huge.

Um, people will definitely need to rewatch this episode if you're not

familiar with, uh, you know, prompt engineering, but once you understand

it, it makes a huge difference in terms of how well you're able to

consistently produce the results that you're looking for, uh, with chat GPT.

So Atiba, thank you.

Uh, where can people find out more about you and maybe get some more

of that, uh, prompt magic going.

Yeah.

So listen, all seriousness, I want to help you.

Okay.

I want to answer your questions.

I know you're going to have a lot and they're probably stuff that I've run into.

Um, the best way to do that is go to meet Atiba.

That's A T I B I A.

That's my name.

Meet Atiba.

com.

That's going to take you to my LinkedIn.

You're going to go directly to my LinkedIn.

Once you get there, connect with me, send me a message.

Let's talk.

Drop me a prompt.

Let me help you.

Love it.

Well, thank you so much, Dipa.

I definitely met recommend, you know, since this is fresh in your head, that you

go ahead and, uh, try some of these out.

Uh, that way you have them saved in the chat and you can see if

they work or, or they don't.

But, uh, or you know, if you need to rephrase, uh, but you know, at

Dipa, like I said, excellent content.

Uh, love that you continue to develop it since the last time

I heard it, and I am definitely gonna start employing this as well.

Maybe I'll make a version for.

Uh, you know, mid journey or those, uh, kind of visual aspects,

uh, but it's all applicable, so very much appreciate your time.

Oh, my pleasure.

Thank you.

All right.

So make sure if you can drop your examples.

We want to see your work, the show your work discussion in the slack channel.

Really appreciate if you made some of those and maybe

just summarize your results.

See if this methodology really improve what you were doing.

We'd love to hear those case studies and also your review of the session itself.

Uh, as a reminder, this call has been recorded and will be

available within the next 24 hours.

It's should be up, you know, instantly on the Slack page, but, uh, within an hour,

uh, probably no less, and then you could rewatch it because you might need to a

couple of times and pause, use the pause.

All right.

On Wednesday, we have our podcasting session.

So it's going to be Jeremy and he has a bunch of successful podcasts.

He helped podcasters and he actually uses a variety of completely different

tools that we haven't even discussed yet.

So definitely don't miss Wednesday.

You're going to learn a ton about podcasting and about how to really

simplify your podcast creation process using Jeremy's techniques.

So tune back in, in a couple of days.

And have fun with chat GPT in the meantime, really appreciate y'all.