Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
Have you ever come across a LinkedIn post, or a
viral sales page, or a pitch deck and thought, how
did they make this so good? Great content isn't magic.
It actually follows a formula, and with Jenai, you can
crack that.
Speaker 2 (00:16):
Formula wide open.
Speaker 1 (00:18):
In today's episode, we're diving into the Jenai reverse Engineering trick,
a method that lets you break down high performing content
and cover the elements that make it work and apply
those insights to your own writing. I'll be joined by
Inventium's resident Jenai Wizard, Neo Applin, to explore how this
(00:39):
technique can revolutionize the way you create content, whether it's
social media posts, emails, or presentations. If you've ever wanted
to unlock the secret source behind standout content, this episode
is for you. Just quickly before we get into today's episode,
if you want to go DeFi and learn how to
work with Ai instead of worrying about being replaced by it.
Speaker 2 (01:03):
I have something that.
Speaker 1 (01:04):
I think you will love, but my consultancy invent Him
We've created the Jenai Productivity System. It's a self paced
online course designed to help you boost productivity and save
literally hours every week by using Jenai a whole lot smarter.
In just a few hours, you'll go from Jeni dabbler
to Jenai expert with practical tools you can start using immediately.
(01:28):
Head to inventium, dot com, dot au, forward slash Jenai
to check it out and get started today. Welcome to
How I Work, a show about habits, rituals, and strategies
for optimizing your day. I'm your host, doctor Amantha imber.
Speaker 2 (01:49):
So when many.
Speaker 1 (01:49):
People see great content online, it's easy to look at
that and go, oh my gosh, that person is so
skilled that has created that content. I want to know
what's the reality behind why some content actually does perform
so well, whereas other content just does not.
Speaker 3 (02:11):
Oh gosh. You're the writer here, you should be answering
this one. But I will say that there's really three
parts to it. One is is the content great? Like?
Are the ideas right? Is the information being presented like?
Is it brilliant stuff? The second is is it being
presented in a way that is easy to understand, that
makes sense for kind of content you've got there? And then,
(02:33):
of course the third one is is it going to
fit with what the audience is wanting? So all those
things need to be together for it to be a
great piece of content.
Speaker 1 (02:41):
So something I've heard you talk about is the idea
of Jenai being a content detective.
Speaker 2 (02:47):
Could you tell me what exactly that means.
Speaker 3 (02:50):
It's about saying, here's something either I've done before, or
maybe someone in my team or my workplace has done before,
and say, how does this work? Like it's almost like
saying tell me about the structure. Or depends on what
you're really after, it might be about tell me about
the structure of it. It might be telling me about
the way that the arguments are made. It might be
(03:12):
tell me about the voice, the tone, the style of it.
But it's basically saying, I want you to deconstruct this
and then give me an architecture of how it's been
put together.
Speaker 2 (03:22):
Okay, so let's take that a step further.
Speaker 1 (03:24):
Can you tell me what is the Genai reverse engineering trick?
I think that's the label that we have applied to
this trick. So what is the Genai reverse engineering trick
and how does it work?
Speaker 3 (03:39):
It's about getting a piece of content, feeding that to GENI.
Now that can be uploading it as a PDF for
a word document, or you just paste it in. And
of course the more pieces of content that you want
to give it, the more specific that it can, it
can get to find threads between these different pieces of content.
So it might be LinkedIn posts. So maybe your company
(04:01):
has put out five LinkedIn posts and they've said these
are the good ones, and I want you to write one,
and you go, oh my god, I'm not confident in
writing LinkedIn posts, and how do I do it in
my company style? So grab five of those LinkedIn posts
and feed them into your chat, GPT or claude or
whatever you're using, and say, I want you to analyze
this for things like and it depends on what you
(04:21):
want to say, whether it be style or structure or
the content or the arguments or whatever you wanting to
analyze it on. And it will then break down those
pieces and give you the commonalities between them. And so
then you can have that as your baseline. We'll call
it a plan for your content you're going to build.
Speaker 1 (04:40):
What other types of content have you seen this reverse
engineering trick applied to I don't know. Maybe even with
the clients that we work with at Inventium, most.
Speaker 3 (04:50):
People are using this kind of a technique with social posts.
That's a clear easy thing to do. With blog articles
you might need to put out for your company, those
kind of things, but it's so applicable to other things.
I was doing a keynote to HR people the other
day and I was using it to analyze different job
ads out there because I've written job ads before. It's
(05:11):
a painful thing because you want to make sure it's
right and it's got the right structure and feeling to it.
But also you're going to get the best candidates. So
I was getting great job ads and feeding that in
there and getting it to do a detective service over
those job ads. So pretty much any piece of content
that is not super long. So if you're wanting to
look at a fifteen page document, it's probably going to
(05:33):
be less applicable there. But if you're talking about a
page or two, it's absolutely stunningly brilliant for that.
Speaker 1 (05:39):
Okay, So what would your advice be for someone that
is wanting to try out this reverse engineering trick today?
Speaker 2 (05:46):
What's the best way to get started?
Speaker 3 (05:48):
Find the content that you want to reverse engineer, and
don't be restricted by stuff you've written before. Looking at
look at things put out by your company, put out
by competitors. Sometimes to analyze how they do it. Like
if you're the small fish and you're looking at the
big fish, figure out how the big fish are doing it,
(06:09):
So put their things in there. And also, don't look
just at local businesses. Look around the world. So if
you're in say tech consulting, don't just look at Australian
tech consulting posts. Find out how the big players in
America are doing it and or the niche players in
Europe are doing it, and then analyze their stuff. So
(06:30):
find a couple of great bits of content and then
figure out exactly what you want to drill down and
found out, find out how they are putting it together,
and then ask the questions of chatchpt when you give
them the content.
Speaker 1 (06:42):
Thank you so much for coming on and sharing another
AI tip with us. Neo, I personally love this one.
I do use it, and I find that it just
helps me better or it helps me get better at
creating great content because often like I'll have the experience
of say a LinkedIn post that I write going viral,
and I'll want to unpack that and go what did
(07:04):
I actually do right there?
Speaker 2 (07:05):
And so I found it so.
Speaker 1 (07:07):
Helpful for my own learning, particularly around the content that
I create, so anyone listening today, good luck applying this.
I personally love this strategy and New York thank you
so much for coming on and sharing more Jenai wisdom.
If you're keen to learn even more Jenai tricks and hacks,
check out Inventium's Jnai Productivity system. It's a self paced
(07:30):
course to transform you from a Jenai dabbler to jenipro
in just a few hours. Head to inventium dot com
dot au forward slash Jnai to check it out and
get started today. If you like today's show, make sure
you hit follow on your podcast app to be alerted
when new episodes drop. How I Work was recorded on
(07:52):
the traditional land of the Warrangery People, part of the
Cooler Nation. A big thank you to Martin Nimber for
doing the sound mix.