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How to Get Better Outputs From AI (The ROOTS Framework)
Episode 754th June 2026 • Growing a Deeply Rooted Business: Launches, Funnels & Email Marketing with Intention • Jessica Walther, Launch Strategist & Rachel Lopez, Email Marketing Strategist
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Learn More about the Life First Business Lab : https://www.deeplyrootedbusiness.com/lfbl?podcast

If you've ever asked ChatGPT or Claude to write something for you and ended up with robotic, generic content full of emojis, buzzwords, and phrases you'd never actually say, this episode is for you.

Jessica and Rachel break down the exact framework they use to get AI outputs that require minimal editing while still sounding authentic and on-brand. They introduce the ROOTS Framework, a five-part prompting method that transforms AI from a generic content machine into a well-trained team member who understands your voice, goals, and business.

You'll learn why most AI failures are actually prompting failures, how to provide better context, and how to create reusable prompts that save hours every week.

Let's unpack:

  • Why generic prompts create generic AI outputs
  • The biggest mistake most people make when using AI
  • The 5-part ROOTS Framework for better prompting
  • How to train AI to sound more like you
  • Why AI should be treated like a team member, not a tool

Check out the Life First Business Lab: https://www.deeplyrootedbusiness.com/lfbl?podcast

A plug-and-play AI employee membership designed for non-techy business owners who need real support without building everything from scratch.

Meet Your Hosts

Jessica Walther is the founder and CEO of The Launch Collaborative and Sustainable Success Systems. As a launch strategist and systems consultant, Jess is dedicated to helping solo business owners and small-but-mighty teams build businesses that deliver both peace and profit. She specializes in creating sustainable growth strategies that align with her clients' values and lifestyles.

Rachel Lopez is the founder and CEO of Gal Marketing Agency, a boutique email marketing and strategy firm. With over a decade of experience, Rachel helps heart-driven entrepreneurs craft intentional marketing strategies that attract, nurture, and convert leads sustainably. Her human-first approach ensures that marketing efforts feel authentic and effective .

Together, Jess and Rachel blend systems, storytelling, and soulful strategy to help you grow a business that's deeply aligned with your life—not just your revenue goals.

Connect With Us:

Hang Out & Say Hi!

Transcripts

Jessica:

All right, so as an AI power user, sometimes I get personally

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offended where people complain about

AI and it not giving the output that

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they need because they type something

like, "Write me an Instagram caption

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about my new offer," and they get mad

when AI gives them, "Rocket ship emoji.

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Exciting news.

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I'm thrilled to announce my brand new

offer that will transfer your business!

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Exclamation Point.

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Exclamation Point.

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DM me to learn more."

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It's generic, and they get mad, and

then they blame my friend Claude,

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and it's really not his fault.

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Rachel: Yeah, I mean, the extra emojis, I

use a lot of exclamation points in my copy

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as it is just 'cause that's how I talk.

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But that is not everybody and making sure

the things that you would never say, maybe

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you would never say the word thrilled.

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Ultimately, those are the realities

of people that have tried and then

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come down and say , "Oh, I sound

everybody else on the internet."

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Which pretty much means you sound

like no one 'cause there's not

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truly an identity rooted in there.

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so people that have experienced

that rollercoaster of an emotion

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just ultimately end up deciding

that AI isn't good or it's not for

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them, it can't capture their voice.

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But we're here to tell you that it wasn't

the AI that failed you, it was the prompt.

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It was your request to the AI.

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handed it a vague sentence, and

expected it to ultimately read your

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mind, which I don't know about you,

I love AI and I love supporting it,

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but I'm not at that point where I

want my robots to be reading my mind.

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Jessica: Yeah, yeah.

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So the difference between getting

generic garbage or spending all

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of my usage tokens really, really

quickly, is to give it a better brief.

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Basically, AI is not a software, it's

not a tool, it's not a vending machine.

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It is basically an employee.

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So the more brief that you give it,

the better your output is gonna be.

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So today we're gonna be sharing

our exact framework we use to get

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outputs that we barely have to edit.

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It's called the ROOTS framework.

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It has five parts and it's gonna make

it super easy for you to remember so

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that whenever you're typing in your

AI, you're getting what you need

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faster and not wasting any time.

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So if you've used ChatGPT, Claude, and

you've gotten an output that's fine,

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technically correct, but totally soulless

and you felt like you needed to rewrite

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the whole thing, this is gonna be for you.

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You're gonna walk away with a

framework to follow so that AI feels

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more like you and less like a robot

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Rachel: Yeah.

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So quick energy check before

we dive into all of this.

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Really wanna make sure we're, you

know, holding ourselves true here.

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And if we're at that point where maybe

we've decided that AI doesn't work,

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obviously we talk about other things

on this podcast, but if you're over

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here thinking, " I'm gonna skip this

episode because AI has never given me

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anything that sounded like me, or it's

never given me any useful", we want you

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to hold that thought a little loosely

and ask you to stick with us today.

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Because like we had said,

it is not always the AI.

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It is most likely always the prompt.

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And that's the good news, is because the

prompt is the part that we can control.

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And the episode that we're walking through

today is ultimately the fix for it.

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We're gonna walk through roots one

letter at a time with examples, And

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we want you to stick around until the

end 'cause we're gonna show you how to

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save your roots prompts once, and then

you never have to type it again, and

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that's where the real time saving comes.

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Jessica: All right, so let's get into it.

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The first R is role.

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So before you tell AI what to do,

you have to tell it who to be, and

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this one move is gonna change the

output more than anything else.

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So think about the role.

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You need to tell it what

hat that it is wearing.

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You are a conversion copywriter.

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You are a registered dietician

who writes plain, like they're

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talking to their bestie, language.

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You are my operations project manager.

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Because without a role, AI is just going

to default to your average internet voice.

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With a role, it's going to start pulling

its knowledge from a specific lane.

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Rachel: If you ask a lawyer and

a kindergarten teacher the same

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question, you're ultimately gonna get

very different energetic response.

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You're gonna get a very different

context level of response.

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And that whole role of establishing

who it is that you're initially

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talking to with your AI conversation

is gonna set so much of the foundation

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before a single word gets written

in your prompt or in your output.

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So that little bit of context

is so incredibly powerful.

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And we say get as specified as possible.

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So you're not just a copywriter,

but you're a copywriter who writes

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for wellness practitioners or you're

not writing for corporate brands.

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Jessica: Yeah, basically you

get to describe what your

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dream employee gets to be.

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So right now I'm working on a new

employee for the lab called Bruce,

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and I want him to be able to write

SEO and AIO optimized blog posts.

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But I'm like, you're just not

an SEO optimized expert, Bruce.

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You not only write blogs that are

good searchable, but they spark

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aha and insights and they make the

readers wanna come back for more.

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The more you describe who you want the

AI to be, the more he will fall into that

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lane and get less generic, and the more

it's gonna sound like you because you're

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describing what the ideal person would

be who you would hire to do this for you.

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Rachel: Right.

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So then once you know who it

is that we're prompting, now it

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needs to know actually what, we're

trying to get it to accomplish.

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And this is where, again,

people get super weirdly vague.

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So this brings us to our step

two, which is O, objective.

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What is the goal of the prompt?

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Jessica: Yeah, so what are you

actually trying to accomplish?

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Not just the deliverable.

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Write a caption, that's a task.

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There's a difference

between a task and a goal.

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Write a caption that gets people

to comment so it boosts this

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post's reach, that's an objective.

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Write a subject line that encourages

the user to click, that's an objective.

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So getting that specific is gonna

produce two different kind of

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outputs and really help AI start to

be able to support your business.

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Rachel: Yeah, and I think this is so

important for the business owner too, to

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really understand, it's a good practice

to have when you're saying, "What exactly

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am I asking for, and what is the end

result that I'm hoping to achieve here?"

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I think so many times people are wasting

time when it comes to AI when they

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don't even know what the output is.

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They don't know, and sometimes

it's like, "I want it to look

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like this, I want it to sound like

this, I want it to feel like this."

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All of those various components.

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And when you haven't put that thought on

the human side of this prompt, it really

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does ultimately give you a less than

favorable output because you've kind of

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skipped a lot of that step hoping that

it's gonna fill in the gaps for you, and

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I don't believe we're at that point with

AI yet where it can read your minds.

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. Jessica: Yeah, yeah.

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So for example, this morning I was

writing an email to Ashley, the

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DOERS community that we're both in.

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And at first I was like, "Hey,

help me respond to this email.

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I wanna pitch this," blah, blah, blah.

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But I hadn't taken the time to like,

what are my objectives, giving it more

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context that she actually knows me.

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So it wrote in this way which

if I would've sent it to Ashley,

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she would've been like, "What the

hell kind of robot crap is this?"

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And I was like, no, write it

like she's a business peer.

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My goal is to get her very curious

about this thing that I'm telling her

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about, and then ultimately get, you

know, be able to pitch this to her.

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So by giving it that much context,

sometimes AI does that creepy

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thing where it references the

email, but it references too much.

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Don't be a creep and be like,

"Oh, that was so funny about

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your nephew," blah, blah, blah.

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I would never say that in real life.

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So I'm just like, don't be a creep.

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Do this.

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Make it concise.

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A lot of times sometimes when I'm

giving CEOs things, Claude likes

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to be extra and give you 14 pages.

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Well, that's the next step.

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Never mind.

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We'll, I'll save that for the next one.

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Rachel: So now that we've kind of gone

through the first two, so it knows who

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it is and it knows what it's trying to

achieve through the objective, now we have

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to make sure that it gives you something

that is actually of value and something

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you can use, which brings us to the

second O, which is step three, output.

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Jessica: Yeah, so Claude likes

to be a little bit extra.

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So if you do not tell it what you

want to get, you're gonna get a

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giant 14-page essay back every time

when all you wanted was a list.

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So you need to make sure you're specifying

the output, the format you want it in,

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because it likes to default to documents

and maybe you just want it typed back in.

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Do you want it Notion?

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The constraints, how many

words do you want it to be?

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Do you want it to be long?

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How do you want it structured?

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How many options and what to leave out?

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So if you say, "Give me three subject

lines under eight words each," or, "Write

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four short paragraphs, no bullet points,"

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Rachel: yeah

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Jessica: Specifics here are really

gonna save you a lot of time from going

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back and editing, and it's also gonna

save you on usage because you're not

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getting more than you actually need back.

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Rachel: Yeah.

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And this is something that,

everybody, regardless of your

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industry, has best practices, right?

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For an email marketing strategist, I

have, you know, how many characters I

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wanna hit in my subject line, I have,

you know, the subject lines that I

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know work really well with my clients,

and all of these various things.

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But Claude is not a subject or email

marketing subject line expert, and

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sometimes they can go two 200+ characters,

and you're like, "Man, nobody would ever

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read that," all of these various things.

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So when you tell it to keep it under

75 characters, start it with how to,

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a list number, anything like that.

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So many people now tell AI,

"Get rid of the em dashes."

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Em dashes are telling it.

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Jessica: No emojis, no hashtags.

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Rachel: Yeah, all of those things,

and it's really important to spell

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it out exactly how you want it.

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Tell it exactly the length of things.

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So Jess and I, we were just, prior to this

call, auditing and optimizing our blog

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writer, Bruce, and we were saying, "Hey,

it needs to have these components to it.

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It needs to never do this, and make

sure that these are the proper rules

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that it follows every single time."

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But what's gonna be great about this

is that once we've set this, next time

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we go to write a blog, we don't have

to reformat it and restructure it in a

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way that we know is gonna be optimized

for our desired output, because we have

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locked in essentially these end results,

the output of it all that we wanted.

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So it gets us to a point of less

editing time and time again.

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Jessica: And like I

said, AI is an employee.

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You gotta give it feedback.

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He's gonna get better every time.

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The key is that you're saving

your prompts and reusing them

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so you can optimize them more.

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For example, every time we go to write

this podcast, he kept opening the

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entire podcast with real talk, and

that is one of the newly banned words.

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Do you have any specific bans on your AI?

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Rachel: The 'quietly', God,

quietly is so obnoxious.

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Once you see it pop up time and time again

in your outputs, and you start to see it

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consuming the content of other people and

you're like, "I would never say that."

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I was writing an email the other day, and

I actually did use quietly, but not in the

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way that AI uses it, and I was like, "I

just am so jaded now, I can't say that."

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So I had to find a different word to use.

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But it's important to know these things

or else you're gonna have to keep auditing

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and refining every output you get.

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But it's gonna learn if you tell

it, "Don't do this, do this instead,

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and this is the output that I want."

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Jessica: All right, so

moving on to our next thing.

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This is gonna be the one thing that is

really gonna help turn generic AI slop

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into something that actually sounds human,

actually sounds like you specifically,

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and that is your tone, the T.

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Rachel: Yeah.

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So want to hand it your voice, right?

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And this is something that we put at

the forefront of our foundation in

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the Life First Business Lab, where

you're building your business brain,

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where you get your copy Bible, you

have your voice of the customer, all

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of these things that are constantly

being referenced in your prompts.

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You want it to know how should it sound.

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Are you a warm, direct, a

little bit funny type of person?

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Or are you more straight to the

point, big sister type energy?

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All of those various things that make you

more you in your voice and all of that.

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I could probably pick out an Ashley

email from a mile away because I know

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how she talks, and the things that

are important for your audience, is

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that they want you to be able to say,

yeah, that's the person that I follow.

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That's their language.

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That's how they speak.

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That's how they communicate."

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And that's a reason why there's so many

times where people go, "AI doesn't work

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for because it doesn't sound like me.

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There's so much refinement

that I have to do on my end."

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It's this T step, the tone step,

is the most important part.

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Jessica: Yeah.

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Actually when we were training the

Claude that writes our podcast and

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really helps us with all the things in

the lab, I just took transcripts from

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our actual Speaking Voice podcasts

and kept feeding it into Claude.

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Actually, now he goes and automatically

pulls our transcripts and puts it in

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there so that he can constantly be

analyzing our voice, pulling out our

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frameworks that we like to use all

the time so that it's learning me.

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So yeah.

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Pro tip is paste in.

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If you don't wanna sit there and explain

it or you don't know what you, how to

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describe what your voice sounds like,

is go find some things that you really

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love that you've either written or

said or do and feed it to it and say,

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" Analyze this and match this voice."

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Rachel: Yeah, exactly.

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So then that brings us to the last

letter, which is S, and I think this is

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the one that has really helped me utilize

prompts and our AI tools and stuff.

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And it helped me kind of go

from yeah, this is a good output

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to holy cow, did it do that?

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How did it get me to the point

where now, I can take this, give

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it my human touch, refine it just

barely, and then take it and go?

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And that is step five, the specific.

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So this is the context about your

business and really takes you from

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where it knows the inner deep workings

of your business, why you have specific

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offers, and it makes things way less

generic than it could possibly be.

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So I think this is the one that I

would say is the most important.

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Jessica: I say this all the

time, the more context you can

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give it, the better it can be.

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For example we just launched

the Life First Business Lab.

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And we were able to launch

this in record time.

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I think from the moment we had the idea

to launch was maybe a week and a half.

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And this was setting up the product,

getting the onboarding emails, writing

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our sales page, designing our sales

page, and it's because I had already

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done so much pre-work with training our

Claude on everything about our business.

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So it knew everything about our offer.

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We had had it do some voice-of-the-client

research, so it knew everything about

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the audience and their exact pain points.

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It knew everything about the results that

the lab was gonna get them, and everything

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that also made Rachel and I different,

what is our specific history, why we would

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build this or why it's important for us.

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And we were able to kinda

churn that out so quickly.

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It sounds just like us.

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We only had to go back and do a couple

of tweaks to get it there, and that's

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really what the difference is about having

it just going, opening Chat randomly

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and say, "Write about, you know, gut

health issues," if you're a dietician.

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Or somebody who has taken the time to

create a copy bible in the business brain,

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and going in there and being like, "Okay,

let's write this email to my client.

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This is the offer I'm trying to sell."

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It knows everything about it and kinda

spit out everything that it needs.

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Rachel: Yeah.

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So, I always say this when it comes to

your email list, but the same is true

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when it comes to your AI prompts and all

of that, where it's trash in, trash out.

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So if you are putting generic information

in and you are getting generic information

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out, the specifics of it all is really

where the game changer is, right?

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Where the pivotal moment of saying,

"Okay, this is something that maybe

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I can be inspired from," and then

rewrite everything from scratch, to then

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actually giving it the specifics and

saying, "This is exactly what I needed.

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I just need to refine it 10%

15%," whatever the case may be.

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So that's all five.

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I'm gonna do a quick recap, and then

we're gonna shift into one more area.

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So in the roots format, we have

the role, so who we want it to be.

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Before we give it any information, we

tell it exactly who we want it to be.

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Then we go to the objective.

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Now that we know who it is, we

wanna tell it what it's actually

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trying to then accomplish.

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What's the goal?

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Then we go into the output.

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We want to tell it exactly what we are

looking for when we get that prompt,

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whether it is saying, "Please do not

ever give me another Google document.

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Give me a direct text output

and make it look like this."

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That's what we wanna

really communicate to it.

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Then we send it to the most important

information, or one of the most important

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pieces, which is the tone, the portion

that takes it from sounding every person

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on the internet that's ever used a random

prompt to actually sounding like you,

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how it should sound warm or a little big

sister-y, all of those various things.

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we root it into the actual specifics

in the context of your business, your

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offers, your pricing, your audience,

exact pain points, all of that.

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And that gives us the roots framework.

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Jessica: So the mindset shift we want

you to walk away with is that you're

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not bad at AI, AI doesn't suck, AI isn't

garbage, you're just under-training it.

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So think about it.

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You would never onboard a new hire and

expect them to create a task and output

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it perfectly, especially if you gave it

zero context or no background or no voice.

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So, the reframe here is AI is

not a software you operate, it

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is a team member that you brief.

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It's the same rules that would apply

here that would apply to a great manager.

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You wanna make sure that you're

giving it everything that it

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needs to set it up for success.

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And I know what you're thinking:

"Jess, that sounds like it's gonna

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take a lot of effing time, and I

don't have effing time to write a

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paragraph prompt every single time."

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And that's why you wanna make sure

that you are saving your prompts.

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We also have a cool little tool inside

the lab called the Workflow Wizard,

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which helps you write the prompts like

this, following the ROOTS framework.

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So you can basically go in there and give

it a very vague of what you wanna do, your

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short little, fast prompt, and it will

help you fill in all the gaps for what

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you're missing so that you can then go

into your Claude and not have to waste,

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a lot of time and credits going back and

forth trying to get it where you need.

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Rachel: All right, so a couple of

things before we wrap up this episode.

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First, we want you to share this one.

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We all know the business bestie

that we all have chatted with,

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and they're like, "I can't use AI.

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It doesn't capture my voice."

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We want you to share this episode

with her or him, and kind of share

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:

the fix that maybe she's been missing.

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Maybe this is the one shift that

has been missing that can help that

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person actually use AI to a more

achievable and less frustrating manner.

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And then second, we want you to tell

us that you are using AI, right?

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DM us at Deeply Rooted

Business on Instagram.

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Tell us which letter of the

ROOTS framework that you skip the

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most, because I think it's really

likely gonna be tone or specifics.

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And we read all of our messages.

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You can send us an email too.

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We love emails as well.

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Jessica: And if you want a cheat code

for having AI do things and really become

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a whole assistant for you, we want to

invite you to the Life First Business Lab.

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This is where you're gonna get a

pre-trained, already on the roots AI

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assistant that you can install in Claude.

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Once you install it, it does a quick

little onboarding with you so it can

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get all the context and tone about your

specific business, so that you can go in

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and write your blog posts quicker, emails.

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We are creating and training

new employees every single week.

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And we know that this is such a good

product for busy small business owners

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like ourselves, 'cause you don't

have time to be training a bunch

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of different assistants because you

would've hired one already if you did.

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Rachel: These are all assistants

that we use in our own business,

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and that we've created because

they're not fluff assistants, right?

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Sales call closer, Sana, has

been super impactful and really

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beneficial in my business.

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We use Bruce every single week,

every other day kind of thing.

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So check it out.

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The details are in the show notes.

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It's an incredible product that

we're both very, very, very proud of.

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So,

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Jessica: and until next

week, we're rooting for you.

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