0:15

All right. Looks

0:17

like this should be good to go. Welcome... Neil,

0:20

in particular, I saw your question.

0:22

A few other people had some, but we'll

0:24

start with yours. Yeah,

0:26

thank you. I Actually I, rather than me reading

0:28

it, why don't you just explain in your own words, cause you

0:30

can do a better job.

0:31

Yeah, of course. So I've been trying to use

0:33

the basically the web search functionality

0:35

in ChatGPT to do some

0:38

kind of deeper research into different topics.

0:41

And I'll, some of it has to do with

0:43

what sort of things are trending and

0:45

kind of predictive stuff. And

0:47

when I first saw that, that was

0:49

an option I tried a couple of

0:51

different, techniques to build

0:54

the prompts. The prompts had, persona

0:56

and knowledge and traits and like steps

0:58

to the task and all that. And the first

1:01

attempt that I took at it, I

1:03

really focus in on the steps to the task.

1:05

And I would say start with these

1:08

sources that are more broad,

1:10

then dig into these sources, then dig

1:12

into these sources. Thinking like, how

1:14

would I go about researching something? And

1:17

then I put examples of URLs

1:19

to look at. And then, names of

1:21

specific companies and things like that. And

1:23

it, it didn't seem to do very

1:26

good at all with the URL

1:28

examples. So I pulled those

1:30

out and then it seemed to do better

1:33

without that information, but

1:35

I almost like by giving it maybe 11,

1:38

12 examples, yeah. It didn't

1:40

seem to do so well. I narrowed it down a little

1:42

bit more. It did better. It

1:45

was very odd. And then eventually

1:47

I just, Took the specific

1:49

examples away, made it more broad.

1:51

Only had three examples that

1:53

seemed to do the best, but it seemed like

1:55

it just didn't really go

1:57

super deep each time. It would

1:59

maybe hone in on two or three websites

2:02

and gather information from that and present

2:04

the findings. And I was really

2:06

looking for it to go

2:08

a lot deeper and I couldn't quite figure out, e

2:11

even try and continue exactly where you left

2:13

off or something like that. It would just do

2:15

the task over again and find the same thing. So

2:18

I wasn't sure what other people had done

2:20

and had success with using that capability

2:23

cuz it clearly

2:24

was a lot better than being

2:26

in barred and everything. But just,

2:29

I don't know, I was having a hard time really getting into

2:31

it and getting it to really

2:34

go to the depths

2:34

That I wanted

2:35

it to go to. Got it.

2:37

Okay. Yeah, I actually just

2:39

did a podcast episode

2:42

about this topic interesting.

2:44

Although that was a little more brainstorming

2:46

and a little less just flat out research.

2:48

But what's an example? Just

2:51

lost the video. What's an example of

2:53

the kind of stuff you were researching?

2:57

So it, it had to do with trends

2:59

in 401K plans. Okay.

3:02

Like risk trends. Okay.

3:05

Yeah. I was asking it to, take

3:09

a look at overall kind of

3:11

trends. And then I was

3:13

directing it to specific, like

3:15

law firms and things like that would typically

3:18

write about those trends

3:20

or industry organizations or things

3:22

like that. But, may I

3:25

wish I could ch I not really for compliance for,

3:27

I can't really share my screen or anything, but

3:29

Okay. Maybe something like similar along

3:31

those lines. I'm not sure if someone else has like a

3:33

particular area that they,

3:36

I don't know, maybe even AI trends or something like

3:38

that. Something that we could try to track down and

3:40

see, like we could all look at and go, oh, that's really

3:42

good. I don't know if there's another example that we could

3:44

use. Similar along those

3:46

lines. Yeah, I'm not

3:48

sure. To

3:50

me hearing, hearing like

3:53

risk for retirement funds

3:55

sounds like something that you'd be able to. Maybe

3:58

have to go into a PDF to pull out, but at least it's gonna

4:00

be there as opposed to more

4:02

of an analytical, like what directions

4:04

are AI tools trending in would be a much

4:06

more thought processy.

4:08

Yeah. Yeah. But I guess

4:11

we could start with something like

4:13

I don't know, what are the return

4:16

amounts for the top 10,

4:19

retirement plans? And then start trying

4:21

to dig from there and see, can you give

4:23

me more data? Can you explore?

4:26

Cuz one thing I have noticed is it

4:29

seems like the browsing, at

4:31

least from my experience, is much more go get

4:33

one webpage and analyze it

4:35

as opposed to go give me 30 web

4:37

pages and analyze them. Okay.

4:40

So I wonder if that might be just

4:42

part of it but let's try. So I guess.

4:44

Starting off role wise

4:47

act as a experienced

4:50

financial planner and

4:55

please go retrieve the rate

4:58

of return for the top 10

5:01

investment plans retirement

5:03

plans within

5:06

the US Cause of course that's

5:08

worth clarifying. And

5:10

then I

5:13

think we're gonna need to say yeah,

5:15

ask me questions to generate

5:17

the best output. And

5:22

actually I can already imagine it asking

5:24

what the top 10 retirement plans would

5:26

when the US are. So maybe

5:28

just based on rate of return.

5:32

It's a little recursive, but it might be okay with

5:34

that. And then No,

5:38

actually I just wanna run it from there and see what it comes

5:40

up with cuz. Okay,

5:43

good. I'll look up the most current data

5:47

specific types of retirement plans.

5:53

Oh okay. I feel like some of that's obvious

5:55

and implied, but Sure. Yeah. I

5:57

guess let's go with type as a 401k,

6:01

historical rate of return. Obviously

6:04

not future. That seems

6:06

a little silly to even ask, but I guess it. Maybe

6:08

makes sense. Would you like That would be

6:11

very

6:11

interesting to see what it comes up with cuz

6:13

that's yeah. Easy information

6:15

to, there's publicly available for some plans,

6:17

but it's not very easy to connect all

6:19

the dots to determine

6:21

something like that. I

6:23

think general plans,

6:25

regardless of company. And

6:30

then any specific industries or sectors

6:32

you're interested in? No, please.

6:35

Really just wanted to keep it broad.

6:38

Okay. It's browsing good. What

6:40

is it? Browsing to historical rate

6:42

of return for 401k plans in the us.

6:46

I don't imagine that's gonna give me a very

6:48

good result, but let's see what it does. It's

6:50

also just slow. So this happens to me a lot.

6:53

It tried clicking on it and apparently failed.

6:55

It said click failed. Why did the click fail? I

6:57

don't know. Can I even open this link?

7:00

I can, it's a search

7:03

on Bing for lots of stuff.

7:06

Okay. Okay.

7:09

So now it's going off of a pocket

7:12

sense article and

7:15

then it went back to the search.

7:17

This is a lot better than what I've most

7:20

of the, so it was, what I was

7:22

looking in was if you have, if

7:25

you're like a, an officer of a

7:27

company, you are, you

7:29

might be what is called a fiduciary

7:32

of a re you're like responsible for the retirement

7:35

plan. So that was the lens I was trying

7:37

to get a sense for is what

7:39

are the how good would it do? Looking

7:42

out there and getting a sense for what

7:44

the current trending risk

7:47

areas are, for those individuals.

7:50

And then also trying to get it to think like

7:53

of the stuff that's happening out there,

7:55

what's likely to become

7:58

a more meaningful risk in future years

8:01

that like what's trending and just developing.

8:03

And anytime I would run it like that, I

8:05

definitely would not get that many successful

8:09

clickthroughs on

8:10

anything. It would maybe just

8:12

find one or two articles and then most

8:14

of the time it would say click failed retrying.

8:16

Even in that example, you look in it's I don't know, seven,

8:18

eight websites or something. Yeah.

8:21

Yeah. Honestly,

8:23

this is the most successful clicks I think

8:25

I've gotten and it still didn't get a very

8:28

helpful result. Yeah. It's particularly

8:30

spending a bunch of time on telling what a 401k

8:33

is, which is strange, but,

8:35

okay. Even assuming nine

8:37

and a half percent is accurate, who knows? That's

8:39

it says it's coming from a link. It's

8:42

then not well, okay. Yeah.

8:44

It then even says, I ran out of time

8:47

before I could find information about

8:49

the average on

8:51

sep. Oh, okay. But that's not

8:53

what I was asking for. All right. All right, then let's

8:56

just re-ask the same-ish question.

8:59

Because what I want you to do is

9:02

retrieve the rate of return for the top,

9:05

or actually let's even just say list the

9:07

top 10 retirement plans based on rate

9:09

of return, and then

9:12

see if that does a better job

9:15

refining it. It

9:18

is a little strange to me that it was like, yes,

9:21

I will go answer that, and then it didn't stay on track.

9:25

Yeah. I didn't realize there was a time component

9:29

that it, it was on that, maybe allotted only

9:31

a certain amount of time to

9:32

perform the search. I

9:34

am honestly not surprised. You want it to be

9:38

responsive. Why is it loading

9:40

airline credit cards, cashback,

9:43

credit cards. What in the world? Okay,

9:45

now it's failing to read anything, so

9:49

I wonder what would be a better way

9:51

to, okay let's see if we could prompt

9:54

it for a second here. If I just did top

9:56

10 retirement accounts

9:59

and I guess I should be saying 401k.

10:05

All right, so here is an example

10:07

of one who knows how accurate it is, but

10:09

does this then list the,

10:13

okay, so it lists the average annual return. Great.

10:15

So let's just see if I give it

10:19

still on credit cards. Okay

10:21

we'll see what it comes up with. Based on

10:23

the analysis at here,

10:26

pick the top 10. Interesting.

10:33

Still giving me some of the same

10:35

topic content as before.

10:39

Okay. You

10:41

can stop typing at any time.

10:43

ChatGPT. Wow,

10:47

that's a really weird direction to take. All

10:51

right. How about, I'm tell

10:53

you to go here. Curious in if

10:55

anyone else is, from a

10:57

strategy standpoint, found, it,

10:59

let's say it does look at eight websites.

11:02

A prompt that it's

11:04

okay, now look at eight now. Now find new

11:07

information, but factor

11:09

the pri. Like how many times can you have it,

11:11

do a search and collect information

11:13

and organize that information and then apply

11:17

it in some way through a

11:18

prompt somehow. Yeah,

11:49

I've definitely done data

11:51

analysis where I just go get

11:53

the data and then I throw it in. And

11:55

there's a few tools that I've seen that somewhat

11:58

try and work on that. Wow.

12:00

It really doesn't like that US News

12:02

website. I wonder out

12:04

of curiosity if it's not an H T G P thing.

12:07

All right. So it'll work without that. Stop

12:10

typing.

12:12

It might be a financial thing. I've

12:14

noticed sometimes if I've

12:17

tried, I'm trying to build a stock app

12:20

and yeah, there are some

12:22

blocks. Oh,

12:24

that's interesting. I

12:28

am a little surprised,

12:30

but I guess there could

12:32

be a lot of things that, that open AI

12:34

is saying, Nope, let's not go there. Okay.

12:37

Yeah, it's not htt

12:39

p s that's weird.

12:43

I think it looks like a good search

12:45

because you're asking historical, so

12:47

it should be able to pull that information up. It

12:50

d it doesn't seem like it would be proprietary

12:52

in any way. If you were, you're asking it to do a stock

12:55

picking for future, it

12:57

won't do that. But if you were to do it based

12:59

on history of 401ks, what's

13:02

the average, the best return rate? I would think

13:04

that would be a no-brainer.

13:06

Yeah. I have yet to have any good experiences

13:08

with Bard, but let's just go try that. See

13:11

if it does anything useful. Okay.

13:15

That at least got. That,

13:18

that got something, but I'm not

13:21

sure. Hang on. Okay.

13:25

It did correctly

13:27

pull a bunch of these, it looks like. Nice.

13:30

Okay. Not so much. So

13:32

VTax is 19.1, but

13:34

it doesn't list that. It immediately then goes

13:37

on to Baron Partners,

13:39

which is 18.7, which is the next

13:41

one. But clearly it has just failed at the task

13:44

and actually skips the next one. Two,

13:47

what? That's

13:50

weird. Okay, hang on. Why is

13:52

it coming up with artisan

13:54

midcap, which is 18.4

13:58

and is not mentioned in this article? Okay.

14:01

All right. So yeah this is probably

14:03

just not using that data at all.

14:05

It's pulling it from somewhere else. I

14:09

wonder, does it say no?

14:14

Yeah, so it's not even, it's not

14:16

even loading it. Use the

14:19

article at, to

14:23

pick, like

14:26

I said, I have not had good luck with Bard,

14:28

so I'm not sure. Yeah. Okay. That's

14:30

about what I was expecting from Bard. Okay.

14:35

I wonder if we

14:37

take it the other direction. So

14:39

if we say retrieve

14:44

the best performing

14:46

funds from

14:48

companies, fidelity,

14:53

Vanguard. Baron.

14:56

I assume that's Baron Partners, but I don't actually

14:59

know. Is it gonna actually

15:01

come up with anything useful or is it just gonna

15:04

Okay, it's browsing the web. That's a good sign. Oops.

15:10

Okay, that's a good one to run. Still

15:14

coming to a Forbes

15:18

and then Best Student credit cards. It really likes

15:20

looking at credit cards. Apparently. I don't understand

15:22

this. This is weird. That's really interesting. I

15:26

almost wanna try and do something else like financial,

15:29

but not related to this, just to see if it decides

15:31

to be like, yeah, I'm gonna talk about home loans,

15:34

credit cards again or something. But we

15:36

will wait on that. Oh my God.

15:39

Bunch of bit credit card stuff and then it failed.

15:45

Huh? Let's

15:47

actually throw in a step by

15:50

step here, cuz I'm

15:52

wondering work

15:54

step by step to retrieve

15:59

ooh, this might actually be a good point to try react,

16:01

but let me try this first one,

16:04

retrieve top companies

16:09

two, retrieve five

16:12

funds from each. Three

16:14

retrieve rate of return

16:17

for each fund. Four.

16:19

Compare to select

16:22

top funds by rate

16:24

of return. And let's actually

16:26

just give it to it as a bulleted list

16:29

instead of an in line. All

16:32

right. See it.

16:36

One more try. Wow.

16:39

No, it does not like the, something

16:41

about the way I provided that list is making

16:44

it really unhappy. Let me just refresh the browser.

16:48

Wow. I think it actually just lost that entire

16:51

pro. It did. It lost an entire prompt. Okay,

16:54

let's lemme see if I can recreate that really

16:56

quick. That was this one.

16:59

And then work step

17:02

by step. Retrieve

17:05

tall companies retrieve five of their funds,

17:07

retrieve the rate

17:09

of return for each fund,

17:12

and then provide a

17:15

table sorted by rate

17:17

of return with

17:19

company, with columns company

17:23

fund, rate of

17:25

return. And I think that

17:28

that'd be good cuz that, that's

17:30

something, that's a good example where

17:32

it,

17:33

Browsing. Yeah. Okay. Run.

17:40

Okay. This time it's at least executing.

17:44

And it got the best 401K plans.

17:47

That's something.

17:50

This is good. Cause this is definitely in line with

17:52

it, you gotta look at different areas

17:55

and bring all the information together

17:56

and Yeah,

17:59

and I'm definitely thinking that

18:01

comeback screen share it

18:03

might even be helpful to use

18:06

the react. Okay.

18:10

That's at least a reasonable place to

18:12

look. Because boy, this is

18:15

not getting anywhere fast. I'm

18:18

drawing a blank on this. I've never seen

18:20

it. Just keep dying.

18:23

In lieu of going deeper on that.

18:25

David or Rhonda, do you have anything that you've

18:27

been trying to work on and wondering

18:29

about?

18:32

I've been working on something that

18:36

I put together a kind of a

18:39

slideshow showing

18:41

what I've done and

18:45

if you want, and what better

18:47

it is I thought

18:49

I was reading this book about

18:52

mysteries where

18:56

you're given clues in the mystery.

18:59

And as

19:01

a reader, you're able to figure

19:04

out the mystery on your

19:06

own. But you're

19:08

given the answer at the end. And

19:11

I thought, I wonder if t

19:14

can do something like

19:16

this.

19:17

That's an interesting idea. The reason why I like

19:19

this I'm teacher and I

19:21

would like students to be able

19:24

to try to figure out their

19:26

mystery on

19:28

their own and have this book, it's only

19:30

two pages. Each

19:32

mystery is only like two pages long.

19:35

But anyway it would be clues like

19:37

a guy comes back from the desert

19:41

and he claims that he he found gold

19:44

and that and he this is, and

19:48

he crazy found gold and he came back.

19:50

He He says he was out in the sun

19:52

and he's all canned and everything,

19:56

but he mentions that he just shaved

19:58

the day before. And then the answer

20:01

to the story as well, if

20:03

he'd been out in the desert, if

20:05

he had not shaved, then

20:08

there wouldn't be a sunburn because

20:10

once the, once you

20:12

shave off

20:15

your beard, you wouldn't, you,

20:19

I don't think it would mix, but, so

20:22

it's like there's a clue in the story. You

20:24

can figure it out on your own, kinda. So

20:27

I don't know how you are with time, but I did a quick,

20:30

if it's okay, I did a quick kind

20:32

of summary of the different attempts

20:34

I've made so far to

20:37

try to get ChatGPT to

20:39

do it. And what's interesting

20:41

is to show you. How

20:43

it's failed so far,

20:46

we might have lost you. Yeah,

20:49

we lost him. Okay. Rhonda,

20:51

it sounded like you had something in mind, so go

20:53

for it.

20:55

I just wanted to basically tell you why I'm here

20:57

and then also you might be able to help

20:59

solve some of the problems that I'm having. Building

21:02

a cup and handle financial model

21:05

to attach to, I don't know if you've heard of I b D.

21:07

It's international Business Daily. It's

21:09

a, it's an investor tool

21:11

that people use and has the 20 factors for

21:14

how do you. Check a stock and

21:16

how do you not, you still have to do a lot

21:18

of research. I want my tool

21:20

to build out that final research of a

21:22

cup and a handle, which is a pattern

21:25

that the stock takes. And when it gets

21:27

to the handle, that's when you know it's

21:29

gonna shoot up. You still have to check other

21:31

financials, but I wanna build an app using

21:34

AI that builds on

21:37

these apps that are already out there. I have shaken

21:39

analytics, I have optometry.

21:41

I bought all these apps that have lifetime, I spent

21:44

$5,000 in each and they're worthless because

21:46

I don't have the time just

21:48

in research cuz I have a million projects I wanna do.

21:51

And I'm coming here to you because I

21:53

like the perspective and I like to learn

21:55

about new

21:55

tools. Gotcha. You could

21:57

try dumping some

21:59

of that information in and then, asking

22:01

ChatGPT to analyze it. I don't know how

22:04

I, not knowing anything about the cup

22:06

and whatever the name was, model.

22:08

I have no idea how much data that

22:10

is, if it's reasonable to paste it in or

22:12

not, but Right. It sounds

22:15

like it's something where you could analyze one stock at

22:17

a time. Is that right? You don't need to analyze like 12

22:19

compared to each other? No,

22:21

that's exactly right. And what I'm thinking

22:23

is I would begin my own

22:25

investor club and everybody would join

22:28

and then everybody would take their

22:30

10 favorite stocks, if they could be mid-cap,

22:32

whatever, and then they run my program and

22:35

whoever sees a cup and handle forming would

22:37

then put it into the notes

22:39

for our group and we'd

22:42

all be able to look at it each week or each

22:44

month that we meet. We would get better and better at

22:46

identifying cup and cup and handle and

22:48

hopefully coldly tool enough

22:51

that it would be identified on its

22:53

own.

22:55

Yeah. Thinking about

22:59

the way ChatGPT works, it's not great

23:01

at graphical things, and I don't just mean like analyzing

23:03

an image, graphical reasoning, which is what it sounds

23:06

like you're saying of I'm assuming there's a

23:08

curve this way and a curve another way, and it

23:10

needs to detect that. I was

23:12

thinking though that it could actually even put it into

23:15

an analyzer. Like you could use

23:17

stable diffusion or mid journey and run

23:20

a describe on it and basically just ask,

23:22

is this describing an upward curve or

23:24

a downward curve or, I, I don't know the right

23:26

way to describe what you're talking about, but

23:29

there are some ways you maybe could make that work.

23:31

Okay. So

23:34

I love that.

23:36

You can run algorithms like that, that

23:38

are not really in ChatGPT, but

23:40

because you're talking about like technical analysis

23:43

with the formation of the cup and the handle.

23:45

That might be something to look at where,

23:47

cuz there are a lot of different, even larger

23:50

scale platforms with major

23:52

financial institutions that allow you to build out

23:54

models that detect trading

23:56

patterns and things like that based on whatever your

23:59

your criteria are.

24:00

For the, so that's an open AI seek

24:02

and run.

24:03

It's not an open ai. Is it

24:05

open? Open source?

24:06

Open? Yeah. It, I mean it should be. It should

24:08

be. Yeah. Cuz there's lots, there, there are ways

24:11

to people build, it's

24:13

not exactly charting, but they build trading

24:15

models to respond to tweets and things like that. And

24:18

you can also do visual setups

24:20

where it's double bottoming out

24:22

or hitting a peak or something like that, and

24:24

then, execute a trade or send an alert or something.

24:26

So that might be a route to look at.

24:29

Love it. Okay. Thank

24:31

you.

24:33

Yeah, I'm not familiar with the, any of those, so

24:36

I can't give a suggestion of try

24:38

X, Y, or Z, but I have heard

24:40

those exist as well. Okay.

24:45

All right. I just got the file from

24:47

David.

24:49

It's a little different because you're not saying

24:51

write a mystery story. It could do that very

24:53

easily and it writes your typical,

24:56

a bunch of rich people with British themes

24:58

in a manner all together.

25:01

And, funny, it does it really

25:03

well, it just, And it comes

25:05

up with somebody screams

25:08

and then they all end up in the drawing room

25:10

and he talks to three suspects. And, but

25:13

then what happens is it's

25:15

always here's, oh, here's

25:19

why the person's guilty, but you're not

25:21

involved in trying to figure out why.

25:23

So if you want, I can,

25:27

I have highlighted stuff, but I can explain

25:30

the process I've been through so far. It's been

25:32

interesting.

25:34

Got it. So you're trying to get it.

25:36

Oh, I see. Yeah. So

25:40

it's just not wow. Blackwood

25:42

manner. You're, it's really leaning into the Sherlock

25:45

Homes experience and clue for that matter.

25:47

Yeah. It's

25:49

funny, it'll, it can't put

25:53

clues in the story and then

25:56

Put them in there subtly and

26:00

then hold off and let the reader figure

26:02

it out and then tell you at the end.

26:05

And it, so

26:08

I tried telling it to structure the story.

26:10

First I want an introduction,

26:13

then I want there to be

26:15

a a crime. Then I want

26:17

the interviews, and then I want

26:20

the, what, the reveal at the end. And,

26:23

but make it so that, the

26:28

reader could use critical thinking and

26:30

yeah. Okay. And

26:33

it,

26:33

so it can tell you, it can tell

26:35

you this is what you should do, this is

26:37

how to do it. And it, cuz

26:39

that's what I did. I asked it to, what are the elements

26:42

of a story like that? And it writes 'em all

26:44

down. It tells you everything you're supposed to do

26:46

and then you say, okay, can you do that please?

26:49

And I can, I can't do it.

26:51

That's funny. That's so interesting. Okay.

26:54

Let's see. So

26:58

let me see if ChatGPT four is

27:00

actually working again. Hey,

27:02

it's working again. All right, let me change the screen

27:05

share here. But I get what you're saying

27:07

about Yeah. It just keeps,

27:10

that's hilarious. All right, so

27:13

share this one. Lost

27:18

the video again. There we go. Okay.

27:21

Yay. Finally. Yeah. So what I

27:23

ended

27:23

up doing was asking it just to give

27:25

clues, like just to give me ideas

27:28

for clues and for crimes that, like

27:30

a crime, a clue and a contradiction

27:32

or something, and then put

27:35

it in yourself kind of thing. But

27:39

I was hoping it could do more

27:40

than that. Yeah.

27:42

So let's see. Outline short mystery

27:44

story include the

27:47

plot twists as well

27:49

as major plot

27:51

points for each chapter

27:55

and hints towards the

27:58

plot twists subtle

28:01

hints towards the plot twists.

28:04

Let's not even include any length.

28:07

We'll just go with that. I'm

28:09

not even sure it's gonna follow my

28:11

outline quite near enough. I think I need to give

28:13

it a shot prompt or two, but let's

28:16

see.

28:18

Yeah, the only problem with this kind of problem is there's

28:20

lots of reading.

28:22

Yeah. But I am thinking

28:24

it'll probably be something like every

28:27

chapter you generate by saying, here's

28:29

the outline now generate for chapter

28:31

one and

28:34

then generate chapter two and that kind of thing. Okay.

28:40

So there's a pi, a

28:42

philanthropist, a business tycoon, and a brilliant

28:44

but unassuming scientist. Interesting

28:47

though it didn't actually

28:50

include anything about what the

28:52

mystery is. We've

28:54

got a. Little, it's

28:57

doing the plot twist hint. That's good. So

29:01

I almost think I need to just restart this

29:03

and let's just make it a murder

29:05

mystery, just to make that easier.

29:08

Include the

29:11

actual crime or the crime,

29:14

the plot twist, as well as major points. Stop

29:17

generating for each chapter and subtle hints

29:19

towards the plot twist. Oh,

29:21

okay. Then for each chapter,

29:27

major plot points, one

29:31

plus subtle hint towards the plot twist. Go.

29:33

Let's see if that works better. Suddenly

29:38

it's very fixated on boats. Got

29:40

two boat stories in a row. Okay.

29:44

So it's an elaborate suicide, but we don't actually

29:46

know that. Oh.

29:49

Okay. It's doing it. So the major

29:51

plot point is Martel's body is

29:53

discovered. Detective is called

29:55

to the scene, finds a new

29:58

Van Gogh painting. Subtle hint is

30:00

looking at the last one. Testament, align states

30:03

The art world will find my last piece most breathtaking.

30:06

How does that connect to the Oh,

30:09

cuz. Cuz the plot twist is, he

30:11

faked a murder

30:14

actually killed himself cuz he wants

30:16

to bring attention to a counterfeit van Gogh. That's

30:18

a really weird plot twist, but Okay, sure. Whatever.

30:20

We'll go with the ChatGPT like it. Okay.

30:24

So if we then

30:27

run this as a second prompt,

30:30

which it's still going. So anytime

30:32

you want to finish, that would be great. There

30:36

we go. All right, so now

30:38

actually for clarity, so this

30:41

is the outline generator,

30:43

and now we're gonna make another one that's going to be

30:45

the chapter generator, but I don't need to name

30:48

it that yet. And write

30:50

the, This

30:52

chapter for a murder

30:55

mystery. Oh,

30:58

actually I need to go back and grab

31:00

the first prompt there.

31:03

It's okay. New chat. Here's

31:08

the thing, here's the second thing.

31:10

Okay. So acts as a murder, Mr. Mess.

31:13

Best many bestsellers. Write

31:16

this chapter. Of

31:19

a murder mystery Short story using

31:22

the outline,

31:25

crime, plot twist

31:28

major points for

31:31

chapter, and then subtle

31:34

hints toward the plot twist outline.

31:40

Actually, let's do this way just

31:42

for clarity. Please

31:45

write this chapter in a fluoride entertaining

31:48

way. I don't know. I

31:52

did do, oh man. I'm running this

31:54

on three five. All right.

31:56

I'll run it on four again in a second. At

31:58

least three five's faster. Okay.

32:01

One, one turn of phrase I like. Her

32:04

gaze was immediately drawn to the unfamiliar

32:06

Van Gogh painting laying nearby. The strokes

32:08

of the master artist seem to whisper secrets

32:11

into her ear. Yeah.

32:13

Okay. It's definitely going for fluoride. All

32:15

right, let's again,

32:19

and run this on four. All

32:22

right, so the main thing that I'd

32:24

be concerned about with running it this way

32:26

is then it's going to start

32:29

drifting away from the details.

32:32

So what I would then do is say, for

32:35

chapter one, summarize this,

32:37

and for chapter two, give it the outline

32:40

and then the summary of chapter one. I

32:44

see. To keep it on

32:46

task. Yeah. So it doesn't

32:48

suddenly add a new character in chapter

32:50

three and pretend that they've been on the boat

32:52

the whole time or whatever. It

32:54

can try and keep track of who's there, what

32:57

are they doing, that kind of stuff. Yeah.

33:00

G P T four is much slower. No,

33:02

I'm not able to keep up as fast. But is

33:05

it writing in a style

33:07

that the reader can figure

33:11

out

33:13

in? Seems like it. Guilty person. Okay.

33:16

Yeah. Wow. So there's the

33:18

hint right there. Wait,

33:22

most breathtaking, that's not what it oh,

33:25

no, it was Okay. Nevermind. That

33:27

was the hint. Little

33:31

did Morro know then that the final

33:33

chapters were to be penned by the deceased himself.

33:35

Okay. Yeah. We're definitely getting the tone.

33:38

All right, so summarize

33:41

that chapter into a single

33:44

paragraph. All

33:47

right, let's, that's

33:49

closer, but let me try that again differently. Summarize

33:52

that chapter into a single paragraph to

33:55

containing all the pertinent

33:58

details to carry on

34:01

into chapter two. Let's

34:05

try that. That's

34:08

better. Okay. It's

34:10

including the important bits. It's got the

34:12

quote. Yeah. No surprise there. All

34:15

right, so now the question is, If

34:19

I go back to,

34:23

no, I think it was this one. Oh

34:27

no, that's the three five version. Okay. I

34:31

thought I named it generator.

34:35

Maybe I'm wrong. Come

34:38

on. There we go. Okay, so

34:40

now we'll take

34:42

the same title

34:44

and the chapter

34:47

two info and

34:54

include the same stuff, but

34:58

replace chapter one with chapter

35:00

two. And

35:03

obviously don't need that still, or

35:05

that. There's chapter. There

35:08

we go. Chapter two. Okay. Major

35:10

plot points, blah, blah. Okay,

35:13

outline. Now

35:15

I also need to include using

35:18

the outline and

35:20

the summary of the

35:23

previous chapters. So

35:25

now, and

35:29

where did I put that? There

35:33

we go. Not

35:36

sure this is gonna work, but we can at least try.

35:40

Well,

35:42

I'm learning a lot about how you're. Out

35:44

writing it in for

35:46

it so that the format Yeah.

35:49

Yeah. The like including

35:52

them as H T M L tags instead

35:54

of using variables, more common style.

35:57

I'm mostly just doing, I've seen a

35:59

lot of different ways of doing it. I don't think any

36:01

of them work better than any others, with

36:03

the exception of this one. You're not

36:05

gonna run into problems with quotes cuz

36:08

you know, if you do a normal like var

36:11

chapter two summary equals quote,

36:13

then like, all of the quotes from people

36:15

speaking are gonna be messed up. So

36:18

it, it seems to do a pretty good job of working

36:20

around that. Wow.

36:23

It's immediately jumping to,

36:27

huh? Oh, okay. So

36:30

suggesting its counterfeit is already in this chapter.

36:32

I missed that and

36:34

is, Yep.

36:37

So they're bringing in the new character of Claude

36:40

describing him. Oh,

36:44

I just noticed we're a couple minutes over time. But

36:47

this seems like it's actually getting a decent

36:49

story. I'm curious enough that I'll probably just

36:52

run this a little bit longer and then actually read

36:54

some of it. Cause I'm curious to see what it comes

36:56

up with. It seems very

36:58

I'm having Eric, but I'm

37:02

having

37:02

trouble. Keep keeping up. You're really fast

37:04

and good at this, but do you think

37:06

it's going to make it

37:09

so that when

37:12

you get to the end of the, at the end before

37:15

you. You're told who's

37:17

guilty, you'll be able to use

37:20

the clues in the story to figure out yourself

37:22

if if you're able who

37:24

did it.

37:27

I think it's possible. I think honestly

37:29

we'd need to generate all, yeah. What

37:32

was it? Seven. Oh,

37:34

okay. There's more than seven chapters apparently, but

37:36

at least the seven chapters and kinda get a sense

37:39

of it. Oh

37:41

seven is the conclusion. So then there's

37:43

an epilogue, so yeah.

37:45

Yeah. Won't take too much longer

37:47

to run this process.

37:50

It's a long process cuz you'd have to,

37:53

go through the story yourself and

37:55

see whether or not you can figure it out

37:57

before you read the

37:58

last chapter. And then,

38:01

and

38:01

then find out, one

38:03

of the frustrating things was that it kept

38:06

revealing new information

38:08

at the end that you had no way of knowing.

38:12

Kinda like the way they do that on tv. But anyway

38:14

and then you're yeah,

38:17

cuz my whole goal is that the students,

38:20

enjoy trying to figure

38:22

it out on their own before finding

38:24

out the answer.

38:27

Yeah. Even just reading some of these

38:30

subtle hints, it's not part

38:33

of the idea is that it's looks

38:36

like a murder, but it's actually a

38:38

suicide. I'm

38:40

not seeing stuff that would really

38:42

super call that out. There's

38:44

one down here.

38:47

Yeah. No, wasn't that one?

38:49

Painting is a new thing for him. There it is. He

38:52

apparently was using a brand of paint

38:54

that is toxic. I'm

38:57

not sure that's enough to really help

39:00

you realize. It is a suicide. So I

39:03

guess in some ways I'd say that the whole outline

39:05

is a little bit flawed. This

39:08

is much

39:08

more sophisticated than what I was able to

39:10

get in terms of

39:12

subtlety. Cool.

39:15

So I'll share the prompts

39:18

that I'm using. And actually I think open,

39:20

I added a share. Yep, it did. Can

39:23

you I'll share these as

39:25

well. And

39:26

can you, is you're sharing the prompts and that

39:28

is the showing the syntax, the prompt syntax?

39:30

Okay. All right. That's,

39:33

is that we're

39:34

doing it in the chat. How

39:35

would I, sorry, it's in the chat.

39:38

So that's the outline. And

39:41

that, come

39:45

on. There we go. In fact,

39:47

actually, let me rename these just so I can keep

39:49

them straight too. Outline

39:51

for mystery and then

39:56

generate chapter one and two.

40:00

All right. I

40:03

just put the first one in and the second one

40:05

should be one at

40:07

two.

40:09

Greg, I gotta drop off, but I really appreciate this.

40:12

This was really great to watch you in your element,

40:14

go through and watch your approach and style

40:16

and everything and stuff, and that was really fantastic.

40:18

Thank you.

40:19

It is really great.

40:21

Well, thanks for taking the time to do that. I

40:23

really appreciate it. I hope the you're

40:25

welcome. By the way, if

40:27

I can ask you, do you have, is there any

40:29

book that you recommend reading about

40:32

prompt engineering or

40:34

is it No, I haven't found any

40:36

books yet. I'm actually coming out with

40:38

a course probably next week or

40:40

so. I've been planning this week, but this has

40:42

gotten away from me. Yeah. Thank you all for

40:44

coming.

40:46

Yeah, thank you so much. Really appreciate

40:48

your approach so that people can see

40:50

in real time how things

40:52

progress. That's really great. Yeah. Thank

40:54

you. Thank you so much.

40:56

Thank you for your time. You're welcome. Amazing. Thank

40:58

you. Thank you. Good rest of your week. All

41:00

right. Okay. Bye-Bye. Bye. Okay.

41:03

Bye-bye.