0:30

So we are continuing our

0:33

using AI month,

0:36

right? Last time we talked

0:38

about Intuit Assist and. Talking

0:40

a little bit about that sort of thing. So we're continuing

0:42

that, that series this month

0:45

with using AI and chat GPT

0:47

for your accounting practice. We're glad you joined us

0:49

for the QB power hour and

0:53

Michelle. Introduce yourself

0:56

as if we need no introduction.

0:58

Welcome everybody. My name is Michelle Long.

1:01

I am a CPA and the owner of Long for Success,

1:03

a trainer for Intuit for a very

1:05

long time, contract trainer, and author of several

1:07

different books. And invite

1:09

you to join us in the Facebook group and continue

1:12

the discussion. And currently

1:14

enjoying having lots of buzz

1:16

around Kansas City Chiefs with

1:19

Taylor Swift in the house

1:21

recently. And just enjoying

1:23

watching that little love story going

1:25

on. It's just fun gossip going

1:27

on and stuff. We've been enjoying the

1:29

little romance in the air

1:32

around our stadium. Let's put it that way.

1:35

As if you need, as if you needed more

1:37

information or more stuff floating

1:39

around with the Kansas City Chiefs.

1:42

I know. Everybody. Yeah.

1:46

It's fun. Anyway,

1:49

enough of that.

1:50

Go ahead, Dan. All

1:52

right. My name is Anda Long, owner of Dan Witt, worked

1:55

at Intuit for nearly 18 years,

1:57

co hosting today over as well as the

2:00

Workshop Wednesdays over at schoolbookkeeping.

2:02

com tech editing duties

2:05

for the QBO for Dummies series. So trying

2:07

to keep them honest and actually we're going

2:09

to have the author of the QBO

2:11

for Dummies series come on

2:13

the Power Hour next month. He's

2:15

actually come up with a way he's got some,

2:17

if you've never read the book he's

2:20

got some really powerful chapters on

2:22

Excel, and he's actually come

2:24

up with a way to be able to download

2:27

QuickBooks online data into

2:30

Excel and have it usable without

2:32

having a desktop version of QuickBooks interesting

2:35

Excel hack when it comes to

2:37

when it comes to QuickBooks, so we'll have him come on.

2:40

As well. Now, has Michelle

2:42

joined or has has Heather joined us or

2:44

is he still at a prior meeting?

2:47

I sent her the link and

2:49

we are expecting Heather to join

2:51

us. So Dan, you go ahead with the in

2:54

the intro and I will continue

2:56

trying to reach out and

2:58

get Heather.

3:00

Alright, Heather is is obviously busy.

3:02

A busy individual.

3:05

He Tina, also doing the the

3:07

happy hour with Liz and Heather.

3:10

She has, in the last year, become

3:12

the director of education and media over at

3:14

Woodard. So this is

3:16

this is obviously taking taking her in,

3:18

in, in different directions and we

3:21

were hoping that she would join us as well

3:23

because Michelle, you had done a

3:25

a session at Scaling New Heights with

3:27

Heather, correct?

3:29

That's correct. Yeah, Heather and I did

3:31

this together. It was. A version of this intro

3:34

version of this and it was very widely

3:36

received. It was standing room only. This

3:38

is just very popular with so many people

3:41

trying to learn about this because it

3:43

is, what's going on right now. And

3:45

Heather and I have done it together a couple

3:47

of times now. Anyway we are getting

3:49

Heather. She will be here in a little bit, but Heather

3:52

is just an amazing individual, very

3:54

up to speed on this stuff, and we

3:56

will have Heather joining us in just a little bit,

3:58

but she did an amazing job with

4:01

scaling new heights, and as a reminder,

4:04

Scaling New Heights Call for Papers

4:06

is due September 30th, so if you'd

4:08

like to speak at next year's Scaling New Heights,

4:11

get your topic submissions in by

4:13

September 30th, and we'd love to

4:15

see you

4:15

there. All

4:17

right, and so hopefully she'll be

4:19

rolling in on two wheels as

4:21

soon as she's she's available. She did say

4:23

that she had just wrapping up a

4:25

meeting right before we launched here

4:28

today hopefully she'll be on time. Finding

4:30

the link to join us and and hearing

4:32

what you, what we have to say. So a little bit of the details

4:34

of the QB Power Hour it's

4:36

every other Tuesday at noon Eastern our

4:39

upcoming webinars. You can always check the website

4:41

for upcoming events, as well

4:44

as topics that we will be discussing

4:46

on the QB Power Hour. We're not eligible

4:48

for CPE. That was Hector's thing

4:50

and he's been gone for a while. But.

4:54

You can always go to the qbpowerhour.

4:56

com slash resources website

4:59

to download PDFs, recordings

5:02

of the podcast, as well as other resources

5:04

as well. And in the chat, I put

5:06

the link for today's session

5:09

as well as the download

5:12

there. If you have specific questions

5:14

about. What we're going to be talking about

5:16

here today, please put that in the Q&

5:19

A. There should be a little button at the bottom

5:21

of the Zoom webinar for the Q& A.

5:23

And then the if you have general

5:26

comments please put that in

5:28

the chat. But if you have a question about something

5:30

that we're talking about during the webinar,

5:32

please put it in the Q& A so that we can see

5:34

it, address it, and and answer

5:36

it. Speaking of Heather, there

5:39

she is! Yay!

5:42

I'm gonna make her a host so we can see

5:44

and hear her.

5:46

Oh, thank goodness.

5:52

My outlook was being very unkind

5:54

to me because

5:57

it sent your email, Dan, directly

5:59

to my deleted folder. So I'm checking

6:02

all the things I'm like, could it

6:04

possibly be in the deleted folder? And

6:07

there must be some patient that it's not working

6:09

properly.

6:09

While Heather's working on her

6:12

video and getting that

6:14

going, I'm going to go ahead and go over the agenda.

6:16

Dan, did you do the housekeeping side? Yes,

6:20

I did. I did. Okay. So for

6:22

our agenda today, we're going to review

6:24

a little bit of the chat GPP and AI stuff

6:27

that we've talked about briefly, or

6:29

previously, and we're going to tell you where you can access

6:31

some of that. And then we're going to give you some

6:33

examples of how you can begin

6:35

using AI and chat GPP

6:38

and all this stuff. How you all can begin

6:40

using that in your firm today. Heather

6:42

and I are going to share some very concrete examples

6:45

and give you some things that you can start doing

6:47

today. So you can benefit from this

6:49

today. We'll talk about for example,

6:52

using it with financial statements and how

6:54

you can start giving them some advisory

6:56

type of things in there. Heather's going to share

6:58

social media things with you. I'll share

7:00

with you how you can train your own chat bot if you want

7:02

to. And we'll also discuss the impact

7:05

on the accounting industry. So

7:07

that's where we're going today. Heather, you

7:09

still can't get that webcam working, huh?

7:11

Nope.

7:12

So I'm just gonna sit back here and show that

7:17

you can.

7:18

Oh, look at that. Yay. I'm gonna fall. I'm gonna fall on my

7:20

sword. It was actually me. Because

7:23

the pop up was on my screen

7:25

on the other window, and I was staring intently at

7:27

you, and I

7:29

was like, what, why can't you do this, and

7:31

it's over here saying, would you like to make

7:33

Heather a co host, and that's what

7:35

was the problem.

7:36

I am now a co host, so thank

7:38

you for

7:39

that. And, yeah.

7:43

Okay, so I'm going to launch the first poll,

7:46

and then I'll stop sharing so that you too

7:49

can start to take. Take

7:51

over here. So let's go ahead. We're going to launch

7:54

it. How have you used chat gbt

7:56

being clawed or others so

7:59

far? We just want to take a little litmus

8:01

test as the Where you are

8:03

today, and somebody asked me a question about

8:05

the prior session that we did.

8:07

We will have it in the there is a link

8:10

inside the handout. So if you do download

8:12

the handouts, you can get to that link,

8:15

but also just searching AI in

8:17

the QB Power Hour website, we'll

8:20

bring up that prior session

8:22

that we had last time.

8:25

There you go. And we had a question

8:27

in there from Nancy about is there

8:29

an AI tool that will read

8:31

multiple web articles? Oh,

8:33

no, this is one

8:35

to restart. And I didn't want it to. Sorry.

8:38

I wanted to know about, wanting to

8:40

get an idea on if there's

8:42

a AI tool that will read multiple web

8:44

articles and consolidate them into

8:47

one single new article that addresses

8:49

all various points. So

8:51

I think she's wanting to stay up to date

8:53

on what's new, it sounds with

8:55

AI and things like that.

8:57

I can answer that, Michelle, because actually I just

9:00

did that

9:00

today. Okay, go

9:02

ahead, So I just

9:04

did that. Go ahead today, Nancy. And

9:06

actually chat. B t can do it even though

9:08

chat b t said it couldn't. And we'll talk about

9:10

that during the webinar when it actually lies

9:13

to us. there are there

9:15

are add-ins plugins

9:17

that you can add to your chat.

9:20

G P T. And the one

9:22

that I used this morning

9:24

to do and I did something a little

9:26

bit differently, but this premise is the same.

9:28

I was creating a digest of different articles that

9:31

actually I had written that I wanted to pull into a single

9:33

article. And the way I used

9:35

it was I had used the scraper.

9:38

Plugin in chat GPT. So it would actually

9:40

scrape from each of these websites.

9:43

And it does have a limitation. So there

9:45

are limitations to it. The other

9:47

way that you can do that, if you would

9:50

like Nancy that has worked well for me

9:52

is if you just copy and

9:54

paste the content from the article

9:56

into a text document or word document,

9:59

you can actually use Claude,

10:01

which Michelle's going to talk about

10:03

and actually share those files and it can

10:05

do it too. But As we'll talk

10:07

about later, you've got to make sure you're proofreading and that you know

10:09

the content, because it will lie.

10:13

That's correct. You do have

10:15

to know your stuff, because you

10:17

need to double check it, because it could

10:19

be inaccurate. Yeah, that's

10:22

exactly

10:23

right. My wife was just

10:25

on a call the other day and she,

10:28

about blog articles, and

10:30

they were talking about you can't

10:32

just rely on chat GPT

10:34

to spit out a blog article

10:37

for you because there's

10:39

metadata in there. So it knows the

10:41

Google will begin to, push

10:43

down the ones that are actually written

10:47

by machine learning.

10:48

And Dan, I recently read an article

10:50

that was saying that actually has been debunked.

10:54

Oh,

10:55

that it doesn't

10:55

know. And I actually

10:57

know a person against AI.

10:59

I know an individual that actually

11:01

wrote an article from scratch, like the old

11:03

fashioned way, and her

11:05

articles were flagged as being created by

11:07

AI. So it does. So

11:10

whether if they are running that engine, it's

11:12

not accurate. So it's, they

11:15

say, they may say they can do it, but they're not actually,

11:17

it's not a proven thing that they can do.

11:21

Interesting. That's good to know. And

11:24

I love you too, Nancy. Okay.

11:28

All right. Let's go ahead and get into this because we've got

11:30

so much to cover here. So first of all, let's

11:32

review some of what we did before. So the

11:34

QB power hour that Dan and I did back

11:37

on. August 1st covered

11:39

a lot of the basics that Heather and

11:41

I covered previously at Scaling

11:44

New Heights and on another webinar that we

11:46

did with CPA Academy and stuff.

11:48

So there's the link to that YouTube video

11:50

that you can watch where we covered some of the

11:53

intro stuff on what's a different

11:55

screen, chat, GPP 3.

11:58

what are plugins and all of

12:00

the basics and things like that. So you can watch

12:02

that through that link right there, using

12:04

AI as a tool in your practice. Some

12:06

of the new features that have come out recently

12:09

since that October 1st is the

12:11

ability to give it custom instructions.

12:13

In other words, I can tell it, I'm a

12:15

CPA, working with QuickBooks,

12:17

I'm a tax professional,

12:20

or you can tell it things about yourself.

12:22

Custom instructions, stick to the

12:24

facts, don't use any interpretations

12:27

or anything. So you can give it custom

12:29

instructions. So every time

12:31

you're talking to chat GPT, you have to use

12:34

those custom instructions. There's also

12:36

a code interpreter and Heather, you

12:38

use, a lot about code and things like

12:40

that, but you can actually use chat

12:42

GPT to help if you're doing coding

12:45

to write code or to debug

12:48

your code. And to help you when you're

12:50

doing coding and things like that. And I know Heather

12:52

does a lot of no code things. But there's

12:54

now a code interpreter within the chat.

12:56

G P. T. I've got links

12:58

in here for you. Barred is

13:01

with Google, so you can use the

13:03

Google version is barred.

13:05

There's quad to now.

13:07

The quad original one without,

13:10

but now quad two is out. And as Heather

13:12

mentioned ChatGPT pulled

13:14

Bing in early July, and when

13:16

it did that, there was a, in my opinion,

13:19

what that's worth, but

13:21

in my opinion, ChatGPT's

13:23

performance suffered greatly when they

13:25

pulled Bing out, and I didn't

13:27

like how ChatGPT, the

13:30

results that it was giving me, and I

13:32

started experimenting a lot more with

13:34

Bing, and I didn't like it all that great.

13:36

I just started using Bard recently,

13:38

but I started using Claude and

13:40

I learned about Claude from actually Hector. He

13:43

had mentioned it and I thought I'll check out Claude. So

13:45

anyway, I checked out Claude. I really

13:47

liked it, so I have been using

13:49

Claude a whole lot more

13:52

and now Claude two is out. It is free

13:54

as well. If you are in another country,

13:57

you may have to use A V P N to access

13:59

it. I know it's in the US and one other country.

14:02

So you may have to use a VPN to access it. Also,

14:05

Intuit Assist was just

14:07

announced. That is going to be AI that

14:09

is available within QuickBooks,

14:12

TurboTax, Mint not Mint,

14:14

MailChimp, I've

14:16

combined all that, MailChimp, and

14:19

Credit Karma. So Intuit is

14:21

putting their own AI within

14:24

all four of their products in their suite.

14:26

And Dan and I talked about that previously,

14:28

and there's a link to that one there. So

14:31

that's where you can go and watch some of our previous

14:33

discussion and get some of the history

14:35

there so you can catch up on some of that

14:38

if you need to. Okay? Heather

14:42

or Dan, do you guys want to add anything on some of this

14:44

review before we get into the details today?

14:46

I wanted to I wanted to ask Heather,

14:49

because we had talked a little bit yesterday, Michelle,

14:51

about the artificial

14:53

of the artificial intelligence and

14:56

I was using a analogy of,

14:58

we seem to be in the, if

15:01

we're talking about artificial sweeteners and

15:03

comparing it to artificial

15:05

intelligence, we're in the sweet

15:07

and low phase. Of artificial

15:09

intelligence, right? We're not at

15:11

the stevia point yet. Would you

15:14

agree that is like where we're at

15:16

with AI today?

15:19

Or would you say that, hey. We're

15:21

already at TV can't even tell in

15:23

some

15:24

cases.

15:26

Oh, yeah, no, I think that you can

15:28

tell I think you can definitely tell

15:30

the difference between the AI platforms

15:32

especially if you're using if you're using

15:34

them. Consistently, right?

15:37

And you're informed about what

15:39

it is that you're using it for. So that's

15:41

the big danger. And, Michelle, we just talked,

15:43

we've talked about this at length. That's the big danger

15:45

of these tools is that don't

15:48

ever assume that it's smarter

15:50

than you. And don't ever

15:52

assume that it's an expert at

15:54

something you're not an expert at. Because

15:57

what it does, the way that AI

15:59

works is especially

16:02

chat GPT, which is a generative

16:05

language. Something.

16:07

Help me with that. It's there, but I can't find

16:09

that last word there. Model. That's

16:11

the word I was looking for. What it does is

16:13

it predicts. They've fed it all

16:15

of this, all of these sources from

16:18

the English language from books, periodicals,

16:21

conversations call logs,

16:23

and it has trained it How

16:26

to respond based on predictive

16:28

analysis of what the next characters,

16:31

not sentences or words

16:33

or any context because you have to remember it's not

16:35

a person it doesn't have any logic

16:37

going on in its brain, but it is using

16:40

an algorithm. Right. That is

16:42

going to predict what the

16:44

response should be based on the patterns

16:46

and all of the content that it's been fed

16:49

during its training. So once you understand

16:51

the limitations of that,

16:54

then you can start to look at it in a way that you

16:56

should look at it, that it's not an expert.

16:58

It is a tool that is basically

17:00

using code underneath it to

17:02

predict a correct answer. But

17:05

those predictions can be wrong. And so if

17:07

you're asking about tax law and nothing about

17:09

tax law, do not take whatever it

17:11

says and copy and paste it somewhere for people

17:13

to rely on, because it could

17:15

be incorrect. You've got to

17:17

be confidently wrong. You

17:19

can be confidently wrong. And you

17:21

should assume that you're wrong. I think that's

17:24

the thing is that it's great for things like rephrasing

17:27

what you already know.

17:29

Right. Awesome.

17:32

If I'm

17:33

writing something like I need this to be more professional,

17:35

I can say, here's what I'm thinking. And it can

17:37

say, here's a really beautiful

17:39

way to say it. But I'm not going to ask

17:42

it how to perform brain surgery. Because

17:44

I don't know how to do that and it could

17:46

tell me something that isn't correct. Right,

17:49

right. Sorry about that. Ran. When we, I'll get

17:51

off my soapbox. In our prior

17:53

in, in our prior session, we had Michelle

17:55

really drove the point home, treat

17:57

it like an intern, right? Like you can

18:00

have a really

18:02

high performing intern but

18:05

you still want to. Proofread

18:07

their work and go over what it is.

18:10

Is that still your philosophy

18:12

Michelle and Heather, as far as where

18:15

it is today? Because, tomorrow or two

18:17

days from now we could have a different

18:19

opinion.

18:21

Yes. Yeah. Trust, but verify.

18:23

Trust but

18:24

verify. Trust but verify. I

18:26

love that, Michelle. And I think, Nancy's

18:28

asking the difference between cloud and other AI tools

18:30

is they do the same thing. They're just

18:33

got a different, maybe their algorithm behind

18:35

it is a little bit different. And

18:38

that's where To your sweet and

18:40

low analogy or Danology

18:43

we're going to start to see the leaders come

18:45

out is where we're going to start to see more

18:47

accuracy and the,

18:49

computer wizards are going to start to

18:51

introduce code that is more accurate

18:54

than others. And that's where we're going to start to see differentiation

18:56

within the

18:57

market. Right. Yeah

19:00

and somebody just posted out there that

19:02

they like to use it for to start IRS

19:04

abatement letters, and that's a great idea. We

19:07

talked about doing communications and

19:09

using it for that in a previous webinar,

19:11

and we gave you the link for that. But

19:13

I wanted to talk today, and we talked about this

19:15

briefly before, the financial statement analysis.

19:18

And so what you can do here is you

19:21

give it the client's financial statements for analysis

19:23

and recommendations. But what you want

19:25

to be extra careful of is you do

19:27

not give it any client confidential

19:30

information. Do not give it the client

19:32

name. Double check that there's no

19:35

identifying information in

19:37

the account name. Make

19:39

sure there's no client name

19:41

or anything that could be identified

19:44

in the name of the client. So

19:46

what we're going to do is we're going to copy the account

19:48

name and the numbers. No

19:51

identifying information there. Just the

19:53

names of the accounts and the, the months

19:56

and the numbers. So no identifying

19:58

information. So you're not disclosing

20:00

anything that could identify the client.

20:03

And then what we can do is we can

20:05

say, hey, give me a trend analysis

20:08

and the The growth and net profit margins

20:10

or if you were doing it on the balance sheet You can

20:12

look at the liquidity and leverage ratios

20:15

and stuff and then you can ask it for recommendations

20:17

for improvements so you can ask

20:19

it for Some advisory

20:21

type of recommendations that we then

20:24

can provide to our clients and

20:26

this is really super cool so because

20:28

cat gpt can be slow sometimes

20:31

i've already gone ahead and done this for

20:33

you So that I can just show you

20:35

instead of, waiting for it to generate

20:37

its response. So what I generally

20:40

do is I use a Word document

20:42

so that I can do things there and then copy

20:44

and paste. So what I started

20:46

with is I had Perfect here because

20:48

I like to use Prompt Perfect, a plugin

20:51

to help with your prompts. So

20:53

I'm saying I'm going to give you

20:56

the monthly finance, monthly P& L statement

20:59

of a company, no name,

21:01

perform a trend of financial aid analysis

21:04

of the key profitability ratios, the gross

21:06

and net profit margins, and provide insight

21:09

in three recommendations for improvements,

21:12

limit your response to 3, 800 characters,

21:14

and then I copy and paste this

21:16

Financial statement with, again, no

21:19

identifying information. Now,

21:21

the cool thing is, you can also,

21:23

with Quad, just upload

21:26

an Excel spreadsheet. But again,

21:28

make sure you delete the

21:31

name. If you're going to do

21:33

an Excel spreadsheet, delete the

21:35

row that contains the name. Okay.

21:38

Also, don't have your

21:40

spreadsheet named Craig's

21:43

Profit and Loss. You could just have it Company

21:45

P& L. Make sure that if you

21:48

are uploading that to Clod, you

21:50

can upload a document. All right.

21:52

So if you were doing that, make sure you don't have

21:54

any identifying information. But what

21:56

I've got, this is not a great one

21:58

because you've got a lot of zeros and it's a sample

22:01

company, so there's not great information,

22:03

but what you do then is you go put this

22:05

into chat GPT.

22:08

So up here, you can see I enabled

22:10

plugins. You need to enable your plugins

22:13

before you start your chat.

22:16

So I had enabled three plugins.

22:18

I enabled prompt perfect. As

22:21

well as Wolfram, because Wolfram

22:24

will do the math. Tag GPT alone

22:26

can't do math, so you want to enable that plug

22:28

in. We talked about those things in that

22:30

previous webinar. You can go back and listen

22:32

to the details on that. But I want to show

22:35

you, it shows you when it uses that

22:37

plug in. So it'll tell you that it used

22:39

that. And then, again, I

22:41

let it do this previously. So I'm going to

22:43

scroll down and look at our results here.

22:46

So let me just get this moving down and

22:49

you'll see I copy and pasted all those

22:51

numbers in there with no identifying information.

22:54

And then it says, okay, here's what we've

22:56

got. It gives you the calculations,

22:59

double check those to make sure

23:01

that it's calculated those correctly. Then

23:03

it gives me some insights and

23:05

it says, okay, there's some seasonality.

23:08

Here's some high expenses. We had negative

23:10

income. Here's some recommendations.

23:13

You can optimize your seasonal operations.

23:16

You need to look at some expense management,

23:19

investigate your negative income. Then

23:21

I said, okay, give me some additional recommendations

23:24

to improve our margins. It gave

23:26

me all of these additional recommendations.

23:29

This is where we're getting into some

23:31

advisory type of thing. Okay.

23:34

So I can give my clients some advice.

23:37

Okay, so I can do some advising

23:39

for my clients to help them improve their

23:41

operations And their profitability

23:44

so this can help you to provide

23:46

some advisory services to your

23:48

clients Help you get ideas

23:51

that you can then provide to your clients Now

23:53

the nice thing about this and the reason

23:55

we initially told it to do

23:57

it with 3800 characters was

24:00

so that you could copy and paste that

24:02

into your financials of QuickBooks,

24:05

because when you go into QuickBooks and

24:07

you click on your add notes up

24:09

there, if you go up there and you click on

24:11

add notes, you then could

24:13

copy and paste all of that right

24:15

here into the notes of the financial

24:17

statements. So you could give that

24:19

to the clients with that provided

24:22

now One of the things that I like to

24:24

do is say, provide

24:26

me with those advisory,

24:29

with those recommendations without the

24:31

Calculation so that those

24:33

calculations aren't taking up part of your

24:36

4000 characters But this

24:38

is where you can use this to help provide

24:41

You know advisory services or

24:43

some good advice to your clients

24:46

quick and easy without

24:48

taking a whole lot of time. Now, Hector's

24:50

right tool, he is integrating this

24:52

with his right tool, which is

24:54

another big time savings for you.

24:57

The other thing that I wanted to point out

24:59

to you, let me get back to

25:01

my slides if I can find them. I have too many

25:04

things open here. Let

25:06

me just tab through here because the

25:08

other thing that I wanted to point

25:10

out to you If I can find

25:12

my slides, here we go is so

25:15

this is again This is a great way to add

25:17

some differentiation to your services

25:19

for your clients. The other thing is use

25:22

digits. com To do

25:24

this and when instead of doing it the way

25:26

that I just showed you copying and pasted

25:28

into Either chat gbt

25:31

or claude or you could try being

25:33

or any of the other ones instead of doing

25:36

it that way And using

25:38

chat GPT and copying it

25:40

back into the nodes, you're using the right

25:42

tool that Hector has, you can

25:44

use Digits. com. Digits

25:47

link is a third party app

25:49

that will connect with QuickBooks Online

25:53

and Digits uploads all that information

25:55

to their Digits. com.

25:58

And if you look on the right of this screenshot

26:00

over here, They have

26:02

the A. I built into

26:05

their app. So it's in

26:07

a secure environment in the

26:09

digits dot com app. It's

26:12

got the A. I built into

26:14

their app and

26:16

you can do the stuff up there. You

26:18

can see they've got this client portal down

26:20

here for you to manage your clients and

26:23

you can run reports and you can do your AI

26:25

type of stuff over here and you

26:27

get five free companies

26:29

so you can do this type of analysis

26:32

and you can do some of these reports and stuff

26:34

here with Digits. com.

26:36

So go check out digits. com for

26:39

some of this financial analysis. It's

26:41

really cool. So

26:43

check that kind of stuff out. It is a great

26:46

way for you to up your game with your clients

26:49

using social media to get a jump

26:51

on these things. But remember what we said,

26:53

trust, but verified double check the calculations.

26:56

Make sure you use Wolfram. To

26:58

do the calculations in the first place

27:01

and you know read through those recommendations

27:04

to make sure they make sense Before

27:06

you just copy and paste them into the financials

27:08

But that's a great way to add value

27:10

for your client now heather

27:13

has some great stuff there

27:15

On social media. So heather, do you

27:17

want to share your screen and share this

27:19

with them? You're muted

27:24

And i'm muted

27:26

Yes, I'm going to share my screen. I'm going to share

27:29

some of my secret

27:31

things that I do as

27:34

the director of education media at Woodard.

27:37

So I use this

27:39

in a couple of ways. So I use chat

27:41

GPT to create

27:45

social media posts. So what I can do

27:47

is I can ask it to create a social media

27:49

post based on information

27:52

that I give it. I can and the way that

27:54

I do that, let me see if I can find my social media

27:56

post generator. So right here

27:59

in my social media post generator, I started

28:01

by asking it to create three

28:04

social media posts. Right

28:07

for a particular article and I

28:10

asked it for one for Facebook, Twitter

28:12

and LinkedIn. I asked it to use emojis

28:14

and the hashtags that you

28:16

see here and I asked it to tag me.

28:19

So what I can do is I can

28:21

just feed it an article.

28:24

And have it create this.

28:26

So let's do one, let's go ahead

28:28

and I'm going to copy this. I'm going to create a new chat.

28:31

And this time, what I'm going to use is

28:33

I'm going to use plugins, just like

28:35

Michelle did use this prompt.

28:37

Perfect. And the scraper to create this.

28:40

So I'm going to go ahead and put in prompt prompt

28:43

or perfect. Sorry. And

28:45

then I'm going to paste what I just asked.

28:47

And then what I'm going to do is I'm going to go over

28:49

to the Woodard report. And

28:52

I'm going to grab a URL

28:54

of an article so we'll grab this URL

28:57

from Norm Axelman, and I'm

29:00

going to copy it, I'm going to paste

29:02

it right in here, and

29:05

then I'm going to click I'm going to go ahead and

29:08

ask. chat GPT to do its

29:10

thing. So the first thing that it's going

29:12

to do is it's going to use Scraper to go

29:14

to that article out on the web and

29:16

read it. Now, sometimes if the article

29:18

is too long, it'll give me an error

29:21

and say, Hey, I can't really read it. And then

29:23

I get a little stuck in the mud. If

29:25

it's just a regular 750

29:27

word article, it typically works really well,

29:30

but it's going to go through and it's going to take all of that

29:32

information. And then it's going

29:34

to create the social media posts. So

29:37

it went through and it found it. It's

29:41

adding the emojis. It

29:44

actually, I didn't tell it that Norman Axelman

29:46

was the author, did I? But it

29:48

was able to read that from the article.

29:51

And it's

29:52

actually... But Siri heard you and told Alexa

29:55

and then bopped down to... Correct.

29:58

Correct.

30:01

So a couple of things, because this is a

30:04

new one, my, in my established

30:06

social media generator chat with chat

30:08

GPT, it's learned

30:10

that tagging at each Saturday actually

30:13

creates that link here. It didn't

30:15

because this is a new chat. And one of the things about

30:17

chat GPT is if you continue the same

30:19

chat, it continues to learn from

30:22

you as you interact with it. So it

30:24

did it and went ahead and it created an individual.

30:28

Social media message based on

30:30

that. And if I were to click this, guess what happens? It

30:32

goes right out to it. So what I can do

30:34

now is I can actually come over here and

30:37

I can copy this

30:40

and I could go out to Facebook and I could

30:42

just paste it and it's going to paste the

30:44

link. It's going to pull up the picture of the article and

30:47

I'm going to hit. And now I

30:49

don't have to do this on my own. Now

30:51

I've actually supercharged this in the way

30:54

I've served anybody. One guess on how

30:56

I've supercharged this particular

30:57

workflow. You

31:01

got it, Dan.

31:03

Exactly. Right. So what I

31:05

can do is the, what I've actually created

31:08

is we use meet Edgar at. We

31:10

use bdigera at Woodard. It's

31:12

a tool I've used for a really long time. There's other great ones

31:14

out there. But what I've done is I'm

31:17

able to create his app that actually

31:19

watches the Woodard Report RSS

31:21

feed. So I use RSS by

31:23

Zapier, which is a built in tool

31:25

inside Zapier, and I

31:28

have told it to go ahead out to

31:30

the Water Reports RSS feed,

31:32

and I've asked it to watch it for when I post

31:35

a new article. Then

31:37

my next step is to go into

31:39

ChatGPT, and I could also use

31:41

the developer version of this, which is OpenAI, which

31:43

is their developer.

31:46

API version of this. And that's actually what I

31:48

use. But you could use it right in regular

31:51

chat GPT. And then I can

31:53

ask it to do the same thing. So

31:55

I can go ahead. Oops, that's the wrong one.

31:57

Let's go ahead and

31:59

put in the prompt, right? And

32:02

then what I'm going to do is I'm going to go through

32:04

and I'm going to grab that URL, right?

32:07

And then I'm going to ask it to go through

32:10

and write this, go

32:16

ahead and write this this social media posts.

32:20

And let's see how it does. Now, what

32:22

I'm going to tell you right now is that it doesn't

32:25

have the ability, it doesn't have access

32:27

to that to that plugin.

32:29

So I'm not sure if it's going to come

32:31

back and just use the title to write

32:34

it, or if it's going to use

32:36

or it's going to just use the URL. So

32:38

let's see what it did. So here's

32:40

the content. Here

32:44

we go. So it could not read

32:46

the article, right? So we couldn't

32:48

read the article here. So it's just

32:51

being very general about the Woodard

32:53

report, right? It wasn't able to see what was

32:55

there. So one of the things that I could do

32:58

to change this is I could

33:00

go in and instead of putting the

33:02

link in, What

33:05

I could do is I could

33:07

actually put in the description

33:09

or I

33:11

could put in the content, right?

33:14

Either one is going to give it the content

33:17

of that article. I would probably use

33:19

the description because I may time out with

33:21

the amount of data that's actually in that,

33:23

but let's go ahead and retest the step and see

33:25

what happens now that I've pointed to

33:27

from the trigger step, the content of

33:30

that particular article when Zapier, that RSS

33:32

feed triggered and Zapier pulled it in, it

33:34

pulled in the entire content of the article.

33:37

So let's see how it does here. We'll

33:45

just give it a moment. And

33:51

it's taking a little bit longer because it has to

33:53

read through some more stuff. All

33:57

right, so let's see what it did here. All

34:04

right, so this actually pulled a different

34:06

article and what it's doing is it's actually

34:08

looking at my in the news article,

34:11

and it actually did a great job, because

34:13

here it is talking about the latest tax relief

34:15

measures which was the new. The

34:18

new measures that they just put out for the

34:20

hurricane that went through so giving Massachusetts

34:22

and Maine some relief. It's also highlighting

34:25

the article that I wrote about the new members of the Intuit

34:27

Partner Council, and it

34:30

is tagging me and there we go. So

34:32

now what I would be able to do with this is

34:34

I would be able to step put another

34:37

step. To either send it right

34:39

out to Twitter, or what

34:41

I do is I send it out to my meet editor account

34:43

and it actually adds the scheduled

34:46

posts at that point and I could do this with Hootsuite,

34:48

I could do it with, any one of those buffer

34:50

any one of those social media managers that

34:52

is supported on the Zapier platform. So

34:54

you can see what this means guys. that

34:57

I can create the zap and

34:59

then don't tell Joe Woodard, but now I can go

35:01

take a nap because it's going

35:03

to do all my social coaching for me, right?

35:06

Or I'll go ride my horse. So anyway,

35:08

my point is that this is a way that I can leverage

35:10

technology. I am not plagiarizing here. These

35:13

are all our content, but I'm lever

35:15

leveraging this technology

35:18

to help me. do my job

35:20

and free up time for me to do other things like focus

35:22

on the amazing content for scaling new heights,

35:25

right? So that is one of the

35:27

tools in my toolbox. The second

35:29

one is an SEO

35:31

generator. So after I've written an

35:33

article, right? Let's

35:35

see if we can find my SEO. After

35:38

I've written an article, I

35:40

can actually go through and I actually

35:42

use a text expander tool, this magical

35:44

up here. To say, Hey, I

35:46

need a 155 character medical

35:49

description for an article and SEO keywords

35:51

that I can put into HubSpot so that we do

35:53

really well on on the Googler.

35:55

Right. So I'm going to go ahead and do that. And

35:58

now what it's going to do is it's going to create

36:00

the meta description. It's going to

36:02

create the ss e o keywords,

36:05

and then I'm able to go through and add those

36:08

within within our HubSpot. So

36:11

what I will tell you is that normally

36:13

it puts us in an array format, meaning that

36:15

it needs, it's in and I can actually tell it to do

36:17

that if I wanted to, but this would help me to

36:20

copy and paste that code directly

36:22

into HubSpot by using

36:25

another hotkey, which

36:27

in magical, which I'll talk about in a minute. Which

36:30

and it didn't do it, hold on, which

36:33

basically cops copies the code that

36:35

I need to then insert these SEO keywords.

36:38

So what I've done is I don't have to remember the code

36:40

snippet that I have to put into every single article

36:43

to make sure that it's going to have really good SEO

36:45

results. And then what I do is in the array

36:47

form and I would just copy this and paste it into

36:49

the keywords here. So what

36:51

I'm talking about is this text expander

36:54

called magical which is free, by the way.

36:56

Where I can create these little keywords

36:58

or little snippets that will pull text

37:01

into wherever I am on the interweb.

37:03

Okay, any field on the interweb. So there's my

37:06

meta. There's my keyword

37:08

and then these are sales taxes sales tax

37:10

keywords. This is my calendar

37:12

link This is the call for speakers

37:14

link because everybody asked me for the call for speakers

37:16

link 800 times, right? So this

37:19

is a way for me to just type in a code

37:21

no matter where I am on email or anything else

37:23

And it will actually add these This

37:25

information. So what

37:27

I'm what I use this for and the way that it relates to chat

37:30

GPT is you can use something like magical and

37:32

there's others out there to put in your

37:34

prompts that work really well. And

37:36

then all you got to do is put in the dash and the letters

37:39

that you've assigned to it and it's going to remember your

37:41

prompts and Michael's sharing that he uses shortkeys

37:44

which is the same thing. So

37:46

that's just two of the little secret

37:48

sauces that I use.

37:50

In my job to help me

37:52

do that heavy lifting. When

37:55

I'm working with social media for the

37:57

Woodard report. So hopefully that's helpful to you guys.

38:02

Now you're

38:03

muted, Michelle. Oh,

38:09

we lost you.

38:16

I'm muted to while we're waiting for Michelle

38:18

back, I was going to address this question by

38:20

Donna that says, does each of these

38:22

site, do each of these site the original

38:25

article so we're taking the articles,

38:27

and we're asking it to rewrite it or

38:29

whatever does it cite the article, and

38:31

if it doesn't, isn't that plagiarism. And

38:35

so my answer to that Donna

38:37

and Michelle and I had a great conversation about

38:40

this at scaling new heights, is

38:42

that maybe so first of all it does

38:44

cite the article, so it will

38:46

actually cite the articles. And

38:49

then the other thing to keep in mind

38:51

is that at the end of the day, it

38:53

comes down to you and how you use it.

38:55

Right? It comes down to your ethical

38:58

scope, right? And what is

39:00

comfortable for you. So in the case

39:02

where I was creating those social media posts, I'm

39:04

using my own content, or I'm using

39:06

content that was supplied to me by a writer who has

39:08

authorized me to publish their content

39:11

on the Woodard Report. No ethical issue

39:13

here at all. Where there would be an ethical issue

39:16

is if I went onto somebody's website, copied

39:18

their content, threw it in ChatGPT, and said, rewrite

39:21

this article, and then published it as my own. In

39:23

that case, I would say yes. 100 percent

39:25

plagiarism. You can't do that,

39:28

right? Or I don't think personally,

39:30

and that's a personal, these views are

39:33

expressed, are the personal views of Habitat. I

39:35

believe that is plagiarism. So I would not,

39:38

I wouldn't do that. What I would do

39:40

is I would go out and do my research and find articles

39:43

that are giving me the facts and figures that

39:45

I want to present to my audience. And

39:47

I would copy those links into

39:49

the article. Write the article as

39:51

a starting point, go in and I call

39:53

it heatherize it with my own personal

39:55

views and opinions, and

39:58

then I would make sure that I linked out to every

40:00

single article that was cited that

40:02

I used to write that article. To

40:04

me, that is using this

40:06

tool in the way it's intended to be using it is not

40:08

an ethical concern at all.

40:13

Very good.

40:14

And we can hear. Yay.

40:17

Okay, I'm going to go ahead and move on. Is

40:19

that okay? Okay,

40:22

so are you seeing my screen on create

40:24

your own chat bot? Okay.

40:28

All right. So here's something else that you all might

40:30

want to do If you'd like to this

40:33

is super easy Let's say your

40:35

firm has a lot of your own articles

40:37

like heather was just saying, you know You've written a lot

40:39

of your own content you know you your

40:41

firm has you know This wealth of

40:43

content or you just want

40:45

your you know, your clients coming to your

40:48

firm for questions and asking

40:50

questions, Dan's got a lot of school of bookkeeping

40:52

content or the advanced certification

40:55

or tax codes or accounting regs

40:57

and rules and, whatever,

41:00

if you would like to create your own chatbot,

41:02

it is Super easy. I am

41:05

not a techie person and I could do it in

41:07

a matter of minutes. Like with bot press

41:09

or others, you can get started for free

41:11

with no credit card or anything. And

41:13

then you can upload your own knowledge

41:16

base information with documents

41:18

like PDFs or websites.

41:21

If you got a whole site map and everything,

41:23

so you can create your own information

41:25

and then create a conversational workflow.

41:28

And then people can come and ask. The

41:31

information and access that

41:33

chat bot. It is super easy.

41:36

So for example, when you say you want to create a

41:38

new chat bot, it will ask

41:40

you, how do you want to do it? And

41:42

you can do it from documents, websites,

41:44

start from a template or do it,

41:47

handholding. Now I already started

41:49

one called QB. And what

41:51

I did is in for

41:53

the KB, the knowledge base, I

41:56

uploaded a bunch of the advanced certification.

41:59

PDFs. So I uploaded all

42:01

of those knowledge based articles,

42:03

and you can see I've got those here. That

42:05

only used like 20 percent of my stuff.

42:08

Over here, I can test it out. So

42:11

you can see I asked it a question over here.

42:13

So if I wanted to ask it something like, how

42:16

to donate inventory

42:19

in QBO, I can ask

42:21

it a question and then it's

42:23

going to go to my KB,

42:26

my knowledge base and look for an

42:28

answer first to provide

42:30

that answer. And so you

42:32

can very quickly and easily,

42:34

and it'll say answer found in

42:37

the knowledge base. So if you

42:39

want to create your own knowledge

42:41

base. And have

42:43

that available, you can do that. And then you

42:45

can have a new knowledge base out there.

42:48

And you go through and you create your

42:50

own workflows. And so out

42:52

here, you have your workflows.

42:54

Start here and if, if you get an answer

42:57

or not. And so anyway. It's super

42:59

easy to do that and go through

43:01

and create your own workflow So if that's

43:03

something that you want to do That

43:05

is super easy to do and that is something

43:08

that you can do So think about doing something

43:10

like that if you would like to and I know

43:12

there's lots of other uses for chat

43:14

gpt out there and these other ones.

43:16

For tech support purposes you

43:19

can use it, if you've got a question when it comes to

43:21

tech support, I was able to fix our

43:23

refrigerator. The refrigerator repairman

43:26

basically told us, don't call

43:28

me anymore because

43:30

I can't fix it. And, you're just wasting

43:33

your money. And so anyhow,

43:35

I was able to use actually Claude because

43:37

Cat GPT didn't give me what I wanted, but

43:39

with Claude, we were able to fix

43:42

it and we got the silly thing making ice

43:44

again and I fixed the codes on the front

43:46

of it and everything. So Claude helped

43:48

me fix our refrigerator and get it

43:50

making ice again. And it's

43:52

still running and making eyes. So

43:55

there you go. Claude helped me

43:57

with my tech support on my Samsung

43:59

refrigerator. So it can

44:01

help with tech support. There's lots

44:03

of other usages, uses out

44:05

there. If you want to research a potential client,

44:07

let's say you've got a new client that's coming to you.

44:10

You can research that industry

44:12

to find out more about that industry.

44:15

You can use it to do data manipulation.

44:17

When Heather and I were doing this for Kaylee

44:19

New Heights, I was in the car, Laura

44:22

was driving and I was typing in there, okay,

44:24

I'll do this section. Heather will do that. This

44:26

one should take five minutes. This one, 10 minutes.

44:28

And I was just typing this up in

44:30

a notepad on my phone. So I

44:32

would type like intro five minutes,

44:35

Heather, this one, Michelle,

44:37

10 minutes, right? So I just typed this

44:39

in a notepad. And what I did

44:41

then. Is I said, please put

44:43

this in a table format with these

44:45

headings, title, name,

44:48

time, whatever. And I said, put

44:50

this in table format and

44:52

it took that text and put it

44:54

in a table format. It took

44:56

from text without any commas

44:58

or anything and put it into

45:00

a table format. In chat

45:02

GPT for me so it can do

45:05

data manipulation. It can debug

45:07

your Excel formulas. It can do all

45:09

kinds of different things. So give it a try.

45:11

You'll be amazed at some of the

45:13

things that you can do. It's just

45:15

it's amazing what you could do with it. It

45:18

can clean up your bank transactions

45:20

and do your expense categorization

45:23

and stuff. Somebody wanted to know if they

45:25

can convert a PDF bank statement.

45:28

No, I don't think it can do OCR

45:31

and convert your PDF into

45:33

an import that you could import into QBO.

45:36

There's other third party apps that will do that

45:38

kind of stuff. Now, a couple of other

45:40

updates that I wanted to share with you.

45:43

On how it's going to impact how we

45:45

work and in our industry,

45:48

and this is where it's really getting amazing.

45:50

When you look at your suite, whether you're

45:52

using Microsoft or Google,

45:54

and this is like Apple or Android,

45:57

if you use Microsoft, and you're using

45:59

Word and Excel and PowerPoint

46:01

and Teams and all that. They

46:03

have Copilot, Microsoft Copilot.

46:06

If you're using Google and you're using,

46:08

Gmail and Google Drive and

46:10

Google Slides and YouTube and all this

46:13

they have Google Bard and they're

46:15

building it into all their suites. But anyway,

46:17

both of them are building AI

46:20

into their suites. You got Google Bard

46:22

and you have Microsoft Copilot. They're

46:24

building this AI in

46:26

all of their suites, just like Intuit Assist

46:28

is going into all the Intuit Suite,

46:31

it's going to be within everything. There

46:33

is a really quick little two minute video

46:35

on Google barred and how they're building

46:37

it within all of their stuff. It's

46:39

going to change how we work and

46:41

make everything so much easier

46:44

when we're doing things, when we're working.

46:47

And just doing everything that you do,

46:49

it's just going to make everything so

46:51

much easier and faster. So

46:54

it's just going to change how we work and

46:56

like with Intuit Assist and the

46:58

MailChimp, it's going to assist our clients

47:00

with marketing. We can start helping

47:02

the clients with the marketing and everything. These

47:05

are things to think about how it's

47:07

going to change how we're

47:09

doing things and how we're working

47:11

with our clients and everything. Now,

47:13

a lot of you know me, a lot of you

47:16

have heard Casey on these QB

47:18

Power Hour videos. And Dan,

47:20

I showed him this slide and I said, Dan, do

47:22

you, what do you think of these images here?

47:24

And Dan says it looks like your dog. You

47:26

took a picture of Casey at the lake. It

47:29

does. That looks like my dog

47:31

at the lake, right? No,

47:34

I went into Bing and I said,

47:37

create an image of a Bishan

47:40

on a blue wave runner at

47:42

the lake with trees on

47:44

the shoreline. And in 30

47:47

seconds or less, Bing

47:49

created four images for

47:52

me. Here's two of them. It does

47:54

look like my dog. So

47:55

Casey is an internet troll.

47:59

It's just, but Sean, but these

48:02

are being, these

48:04

are computer generated, AI

48:07

generated, and that's where you get the term,

48:09

Dan one time asked me, what does it mean,

48:11

generated? What does it mean AI generated

48:14

or something like that? It AI generated.

48:17

Something new. It created this

48:19

image. And that's where

48:22

the small businesses are really

48:24

going to benefit from this is not only

48:26

can it generate When we're communicating

48:29

and it's generating our words for

48:31

our emails that we're sending to people,

48:34

it now can generate these images. So

48:36

for small businesses that are selling products,

48:39

they don't have to go out and do a photo shoot

48:41

anymore. And you saw that in one

48:43

of Intuit Assist's videos on

48:45

MailChimp, where they had a chair

48:48

and they said, change the background. And

48:50

it changed the background for them. We

48:53

don't have to now pay for photo shoots

48:55

and graphic artists and things like this.

48:58

You can just say, Hey, create this image

49:00

for me. And if you don't like it, you tweak

49:02

it and you tell it things. And this is where Dan

49:04

and I were laughing yesterday. We

49:07

all had a part in training this. You

49:09

remember all those capture images

49:11

for years before you could log into

49:14

QuickBooks or you could log into anything and it was

49:16

saying mark all of the images that have

49:18

a school bus in them or mark all the images

49:20

with a stoplight and you had to mark

49:22

all those images. We were training

49:25

a I to recognize things

49:27

in these images. And now

49:30

we can use a I on these

49:32

images to remove things or to

49:34

create an image for us. And

49:36

I created these images with being

49:38

so if you go to being

49:41

and. Tell it to create an image. It's

49:44

free. It's easy. It's

49:46

that simple. So now, remember

49:48

when the QuickBooks and all these

49:50

third party apps, all of a sudden these small

49:52

businesses had the benefit

49:55

of improving their processes

49:57

and automating their businesses through

50:00

QuickBooks and the third party apps. And we

50:02

could help them to do that so

50:04

they could compete with the small, the bigger

50:06

businesses. Now these small

50:08

businesses are going to have this opportunity.

50:12

From the A. I. And the ability to

50:14

do more marketing and

50:16

more of this type of stuff. And we can

50:18

help them with that. We help

50:20

these small businesses get to the cloud.

50:23

We can help them implement A.

50:25

I. And how to do this stuff in

50:27

their business because it is

50:29

going to change how we work. It is

50:31

going to help us continue to improve our

50:33

automation and our efficiencies because

50:36

our bookkeeping services. It's

50:39

a commodity service. We

50:42

really have to differentiate ourselves now

50:45

and we have to look beyond basic

50:47

bookkeeping services. In my opinion,

50:49

again, you know what that's worth. Anyhow,

50:52

so we really want to focus on our relationship

50:54

with our clients and those advisory services.

50:57

And so anyway, that's my thoughts

50:59

on it. Dan and Heather, what are your thoughts

51:02

and what do you guys want to add?

51:05

Go ahead, Heather. I mean,

51:08

I couldn't agree with you more. Michelle,

51:10

I mean, not only do we need

51:12

to embrace this

51:14

technology but we need

51:16

to, in order to stay competitive, but we need

51:19

to embrace this technology in order to just

51:21

stay viable. Right? Because,

51:23

As this technology it's, I

51:25

feel like where we are is it feels

51:27

like we're just at the, if you think of a hockey stick,

51:29

it feels like we're on the bottom of the stick, but

51:32

we're not we're way past that. And

51:34

this technology has been, it's been in development

51:37

for decades. at this point

51:39

and it's come to market. So what we're going to see

51:41

is now that all of this technology is readily

51:44

available, we're going to see a huge increase

51:46

in the momentum of this. And so

51:48

I think that accounting professionals definitely

51:50

need to learn how to use

51:52

this within their practices. And

51:55

also I think our clients are going to be relying

51:57

on us to educate them

51:59

on how to use this technology

52:01

as well. So I couldn't agree

52:04

more, Michelle.

52:05

Yeah.

52:07

I think that also one other, one other

52:09

aspect of all this is that, a machine

52:12

doesn't worse,

52:14

right? And like typically, what we're

52:17

seeing today, if this is the saccharine,

52:19

the sweet and low flavor, I can tell

52:22

this is not artificial. I

52:24

can tell this is an artificial intelligent thing,

52:27

right? Whatever that happens to be, because I

52:29

think that's where we're at this point when,

52:32

if you're just getting Into the

52:34

technology itself, trying to decide

52:36

okay do I go with Claude or do I go with

52:39

Bart or do I go with chat TBT

52:41

or what's the best sweetener out

52:43

there? It's

52:45

not going to get worse. Like a machine

52:47

doesn't forget, right? Like it's an elephant in

52:50

that it. It will, it's only going to

52:52

get better, right? Like it's going to increase

52:55

as we get now, who's

52:57

going to be the Facebook

53:00

of AI, right? Who's going

53:02

to be the meta. We don't know yet.

53:04

Right. That's, we're witnessing this

53:07

as it comes out and as it plays

53:09

out. Right. So that is, that's

53:11

part of the, that's part of the challenge here is you

53:14

go with Bard because

53:16

I'm a Google suite. What if. Copilot

53:20

is the wave of the future for AI, and

53:22

now I've backed the wrong course, now I've got to learn something

53:24

brand new because I went

53:27

down one, one technology path. I mean,

53:29

the worst case scenario is you have, you

53:31

take those applied learnings and bring

53:34

them to something else. And I

53:36

think that's what we are with streaming services,

53:38

right? There's things that you can get in Netflix

53:41

that you can't get in Hulu and so on and so

53:43

forth. So it's pick your poison. And then now

53:45

you're ending up, you cut the cord

53:48

or you cut the cord because you don't like

53:50

cable and now you're spending more money on your

53:52

streaming service. Which

53:55

app or which AI is the right way

53:57

to go? I think Martha asked a question. I'm going

53:59

to pass that out to you is which one

54:01

is better, which is better engines

54:03

for different uses is

54:05

cat GPT for writing clog

54:08

for math, which, what do you two think?

54:12

I prefer Claude for writing is

54:14

my preference. But you know, it really,

54:17

it depends on what you're doing, which one

54:19

you're going to like the best. And

54:21

that's why I try both of them. And

54:23

sometimes I copy and paste it into Word

54:25

and blend the two together and choose

54:28

what I like best. And I see Heather saying, yes.

54:30

Heather, what are your thoughts? Yeah,

54:32

I mean, when I'm providing,

54:35

so Claude, I go to,

54:38

when I'm providing documents,

54:40

Just because it's easier. You can provide up to

54:42

five documents that it can then ingest.

54:45

And, it, that seems to be easier

54:47

and more reliable than when I'm using the plugins.

54:50

So the plugins can sometimes be a little bit quirky.

54:52

I do the flexibility of all of the

54:54

plugins in chat GPT, but

54:57

I've had, I've seen. I've

55:00

seen undesirable

55:02

results from both, and I've seen great results

55:04

from both. And, one of

55:06

the things I think is really important for people

55:08

to remember is that this

55:10

is experimental at this point. Both Claude

55:13

and ChatGPT are experimental

55:15

platforms, and they're open source,

55:17

meaning that anybody can use them. And so

55:19

the developers behind the scenes are

55:21

learning how we interact with it and trying to make it better.

55:24

And as we all know, as cutting

55:26

edge, technology

55:27

users that sometimes what we

55:29

think is a great idea isn't. And

55:31

so there's certain times where, you

55:33

know, chat GDP and Claude will feel

55:36

like it's taken a step backwards. So

55:38

I think it's too soon as

55:40

Dan said, with the sweetener, I

55:42

think it's too soon to give you an answer

55:45

on that. Definitively. I think you

55:47

have to experiment with it yourself. Yeah.

55:50

And they're going to keep changing, every

55:52

week, every month, they keep changing. I just

55:55

heard, I think yesterday I

55:57

think Chad GPT now has the

55:59

voice, just like you can say, Hey

56:01

Siri, you're going to be at Hey GPT

56:03

or Hey Chad, or Hey Chaz, or

56:05

whatever it's going to be called. I don't know. But

56:08

you're going to be able to talk to it now.

56:10

Instead of just typing into it, which

56:13

will be interesting, so

56:15

it will be interesting for sure. Yeah.

56:17

Yeah, it's just it's

56:19

an exciting time and go

56:22

ahead, Dan. Sorry. I was just

56:24

gonna say I always freeze up when I need

56:26

to speak to something as

56:29

opposed to a person, because

56:31

I want to say the right thing and then I say

56:33

the wrong thing regard.

56:36

Yeah. The one thing I would keep

56:38

in mind is years and years

56:40

ago when the PC came

56:43

out, everybody started using QuickBooks

56:45

or DAC Easy, or M Y O B

56:47

or whatever the accounting program was. Everybody

56:50

was like, oh my God, that's

56:52

gonna kill our business because the accountants

56:54

used to do all the bookkeeping and now

56:56

the clients can do their own

56:58

bookkeeping and this is gonna kill our business.

57:01

They won't need us anymore. That

57:04

was the farthest thing from the truth

57:06

because they needed us more than ever. It

57:08

just changed our relationship with the clients

57:10

and it changed how we worked

57:13

with the clients Not the fact that they

57:15

needed us and I think this is the same

57:17

type of situation It's changing

57:19

our relationship with the clients because the bookkeeping

57:22

is being automated All of the

57:24

basic bookkeeping is being automated

57:26

and that is going away What

57:29

we're doing with the clients is not gonna

57:31

going go away. We still need to

57:33

have a relationship. They still need us.

57:36

So we need to focus on that relationship

57:38

with the client more than ever. We

57:40

need to make sure that they know we're there

57:42

for them to help them grow

57:44

their business.

57:45

Yeah, my I just met with a client today

57:47

and his main question is, when

57:49

am I gonna run outta money? Right. When

57:53

are my bank accounts going to run out of money?

57:55

That's not something that, I mean, you

57:57

can look at a report and just extrapolate

57:59

it out. We need a little

58:01

bit more.

58:06

And that's where we can use chat GPT

58:09

and quad to come up with ideas. How can we

58:11

improve cashflow? Give me a hundred ideas

58:13

to improve cashflow. Then you can go to the

58:15

client. Here's our top three things that

58:17

we can work on for your business

58:20

to improve your cashflow. And then you've

58:22

got things that you can work with the client

58:24

on, but you can get ideas from AI

58:27

to help you to help the client. Absolutely.

58:29

And The other thing that I would just say is that chat

58:31

GPT can't look across

58:34

a zoom screen or a desk

58:36

or whatever, and empathize

58:39

with your client the way that you can,

58:41

and it never will be able to do that. And

58:43

that's really what our clients are buying from

58:46

us is that partner in their business

58:48

that's going to be there when things are great,

58:51

and that are going to be there when things aren't so great,

58:53

and they are Don't care how

58:55

we get the information. I mean, obviously we want to be

58:57

ethical, but they just want

58:59

us to give them reliable information

59:02

empathy and, trust.

59:05

So I agree with you, Michelle.

59:07

I think this technology is just another tool in

59:09

our toolbox and that,

59:12

we're just going to bring more value to our clients

59:14

because of it.

59:16

Yeah. All right. We are

59:18

a little bit over, we appreciate you for

59:20

sticking around a little longer and then then

59:22

we we have allotted. Heather and

59:24

Michelle, awesome to see you both. Love

59:27

you guys. And

59:31

hopefully you can join us next next time on the Power

59:34

Hour. Next month we'll be like I

59:36

said, we'll be talking about downloading QuickBooks online

59:39

data and using it in Excel. Maybe you can use

59:41

ChatGPT to to do some of

59:43

that. I don't know. We'll see. But again,

59:45

thanks for joining us and we'll see you next

59:47

time on the QB

59:48

Power Hour. Thanks, everybody. Have a great

59:50

day.