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Claude Fable 5 is BACK

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Claude Fable 5 is BACK

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886 segments

0:00

I've got a dumb question. If the world's

0:02

most powerful AI model just came out,

0:04

Fable 5, how are we supposed to use it

0:07

to make money and be more productive? I

0:09

mean, I've seen some crazy examples on X

0:12

of people one-shotting like a Monopoly

0:14

game, and that's really cool. But how

0:16

could I use this super intelligence and

0:19

just point it to different problems to

0:21

make me money and be more productive?

0:23

That's what this episode is about. By

0:25

the end of this episode, you're going to

0:27

understand why Fable 5 really matters.

0:30

But more importantly than that, you're

0:32

going to understand practically how

0:34

[music] you can use Fable 5 to make

0:36

money and be more productive. Now is the

0:39

time that you have this unfair advantage

0:41

for [music] actually pointing this

0:42

thing, this insanely powerful model,

0:45

at problems that could build businesses,

0:48

that could make you more productive, and

0:51

to be honest, it's a lot of fun. So,

0:53

enjoy the episode, and I'll see you in

0:55

there.

0:56

>> [music]

1:00

[music]

1:04

>> Oh, I needed to make this video. I

1:06

needed to make this video because 99% of

1:08

people are using Fable 5 wrong. I mean,

1:11

this is the most powerful model that

1:13

we've ever seen, and people are just

1:17

they're just using it the wrong way.

1:18

They're not seeing all the

1:19

opportunities, all the ways to make

1:21

money, be more productive with it. So, I

1:23

had to make this episode where I break

1:25

down

1:26

how you're using Fable 5 wrong, what are

1:28

a bunch of use cases, and prompts that

1:30

you can use today that's going to help

1:33

you, and a bunch of startup ideas that

1:35

now, with the most powerful coding agent

1:38

ever available to mankind, what has that

1:42

unlocked? That's what this episode is

1:44

all about.

1:46

This is a huge unlock, yet all the

1:49

episodes that I've seen and tutorials

1:51

and videos that I've seen on the

1:53

internet have been about benchmarks and

1:55

things like that. But I wanted to get to

1:57

the tactical use cases for Fable 5 so

2:02

that you, after this video, if you stick

2:04

around till the end, you understand how

2:07

to use Fable 5

2:09

um

2:10

in terms of use cases and in terms of

2:12

startup ideas so that you can actually

2:13

build a business and start making money

2:17

and with Fable 5. Let's get right into

2:19

it. The first thing is

2:22

this guy who works at Anthropic used

2:26

Fable to edit and launch his own launch

2:30

video and it looked spectacular. I can't

2:33

believe how good

2:36

it is. And

2:38

I will say he definitely

2:41

had a good camera. You can see here he,

2:44

you know, he's got a good setup. He's

2:46

got this cool bookshelf, but he did 17

2:48

takes in four scenes

2:51

and it ended up with this beautiful

2:54

visual, right? And you can see the text

2:56

looks amazing. This is something that

2:58

would have cost hundreds of thousands of

3:00

dollars to make and using Fable with

3:03

two video edit is totally possible. The

3:05

prompt is here and I'm going to read it

3:07

to you. I'm processing the recording of

3:09

a bunch of videos in Fable full

3:11

recording. The script for them is in

3:12

Fable full recording Fable 5 script. I

3:16

want you to run the 11 Labs

3:18

transcription service on them and stitch

3:20

together the best shots into one final

3:22

clip. A few notes, there are multiple

3:24

takes per scene. The best takes are

3:26

usually the one that at the end with the

3:28

fewest ums, but that can can change. I

3:31

also reshot the first scene at the end.

3:33

They should all be organized by

3:34

timeline. For a few of them, I start the

3:36

video by saying hey name as a way of

3:39

starting the sentence warm. We should

3:41

cut that out. Create a JSON file. Use

3:44

FFmpeg. Orchestrate this using

3:47

workflows/gold.

3:49

Don't stop until you have the final

3:50

video. So, what do we learn from here?

3:53

We know that he used 11 Labs, he

3:55

stitched together the best shots, they

3:57

created a JSON file, he used FFmpeg,

4:00

and he orchestrated all of this using

4:02

workflows using slash goal,

4:05

and said don't stop until you have a

4:06

final video.

4:08

And and it worked. You know, I can go

4:11

through this deck, but you can see here

4:14

uh he uses Whisper Whisper Whisper flow,

4:17

it removed all the ums, the sub-agents

4:20

picked the best takes, the edit is in

4:22

this JSON file, and then FFmpeg executes

4:26

the JSON.

4:28

Um it stitches together the first cut um

4:31

from the prompt create a final scene

4:33

using FFmpeg.

4:35

Um it actually color grades.

4:39

Um with this prompt, the color grading

4:41

feels a bit muted, can you fix that?

4:43

It's able to color grade, and it looks

4:45

amazing. Look at that. Just absolutely

4:48

perfection. That's beautiful.

4:50

And anyone who's ever done any color

4:52

grading before knows how hard this is.

4:55

Um

4:57

the

4:58

the static design frames are all there.

5:02

He uses Remotion to stitch it all

5:04

together.

5:06

Each PNG is rebuilt as code.

5:09

Um

5:10

and then there's one file that sets the

5:12

feel, so you got this,

5:14

you know, beautiful

5:16

uh

5:17

beautiful one file here.

5:19

Um and the point here is

5:22

you can create a beautiful

5:25

a darn beautiful video. You can export

5:27

it to Figma, you can use the Figma MCP,

5:30

uh and you can just use Fable to build

5:33

something beautiful.

5:34

You know, so many people so many of us

5:36

are vibe coding apps,

5:38

can't get people to those apps, but when

5:40

you have something like Fable now, you

5:43

can use it to actually grow your

5:45

whatever it is you're working on. And is

5:47

a great example of that.

5:49

That's one example.

5:51

The two is and this is I saw Wiz of Ecom

5:54

tweeted this.

5:56

You can create a person you can create a

5:58

an AI content engine. I saw other people

6:01

basically asking

6:03

Fable to create tweets and they were

6:04

saying it's not actually not that good

6:06

at writing. It's not really good at

6:08

writing.

6:09

It's not good at writing because you

6:11

haven't put the right inputs, the right

6:13

strategy, the right weak the engine and

6:16

then connect it to Fable. So if you want

6:18

to use Fable as a content engine, here's

6:21

how you can do it.

6:23

You're going to want to put your inputs.

6:25

So you're going to want your origin

6:26

story, your known for, your offer, your

6:30

ICP, your frameworks and you can ask

6:33

Fable to actually help you with that.

6:35

You can put that in your content brain.

6:36

You can use something like Obsidian

6:37

here, your pillars, your funnel

6:39

structures, your tone.

6:41

Then every week you can do

6:44

this, you know, research, scanning

6:46

niches, finding topics, performance,

6:49

uh three hypothesis test weekly and that

6:51

creates the assets as this weekly loop

6:54

and that uses

6:55

Fable 5. So Fable 5 runs every system.

6:58

It reads your charts. The great thing

7:01

one of the great things about Fable 5 is

7:03

it's able to visually check out

7:07

using co-work, um

7:09

you know, browser using co-work. It's

7:11

able to go and and and see things and

7:13

really really understand it and it works

7:15

for hours on its own.

7:17

And the third piece,

7:19

um

7:20

of of thing that I think people are

7:21

getting wrong with Fable and then I want

7:23

to get into actually going into

7:25

into Claude, showing some use cases

7:28

and giving startup ideas

7:31

is my friend Morgan Linton said this. He

7:32

says, "My biggest takeaway from my first

7:34

day with Fable, low effort is the

7:37

alpha."

7:38

So the mistake a lot of people are

7:39

making is, you know, the default's on

7:41

high,

7:43

but I think that as, you know, I think

7:44

it's June 22nd, you're it's going to be

7:47

API pricing. It's not going to be

7:48

included in your Max account. Um you're

7:50

not you know, you're going to want to

7:52

obviously not spend a ton of tokens. So,

7:54

how do you do that? You're going to want

7:55

to use something like factory.ai.

7:59

Uh they have a product called Droid, and

8:01

Droid is going to basically orchestrate

8:03

when you're using Fable

8:05

what effort you're using at, and when

8:07

are you using something like Opus or

8:09

other models that are more routine

8:11

tasks. So, I think you're going to start

8:12

to see uh just more people using things

8:15

like Droid, um more people actually

8:17

doing lower effort for more routine

8:19

tasks. And just so you know, you know,

8:22

someone tweeted this here. In fact,

8:24

Fable low is better than Opus high. So,

8:26

it's pretty impressive. So, if people

8:28

want me to do a full uh breakdown on how

8:31

to use um

8:33

Droid and factory AI to set up this

8:36

orchestration, just comment. Uh I can do

8:38

it. And uh I'll show you how you can set

8:40

that up.

8:42

All right.

8:43

Let's talk about use cases.

8:45

Let's start with this one actually.

8:48

If you're anything like me, writing copy

8:50

is really difficult. And one thing I'm

8:53

learning is that, you know, copy uh

8:56

is, you know, one thing I'm actually

8:58

relearning is that if you have good

9:00

copy, you're going to be able to uh your

9:03

conversion rate's going to be higher.

9:05

So,

9:06

uh what's really cool is you can use uh

9:10

you can actually set up a

9:12

a a copywriting tournament so that you

9:14

end up creating absolutely stunning

9:18

uh websites, building websites using

9:20

Fable uh with incredible copy. So, look

9:23

at this one prompt

9:26

uh that I got for this SaaS

9:29

idea. I took this SaaS idea from my

9:30

ideabrowser.com. I screenshot I put it

9:33

in, and I was able to get this

9:34

incredible idea around backyard homes.

9:38

So, you put in your

9:40

your address, it checks your lot, and it

9:42

says, "Hey, can you build these ADUs,

9:45

which are basically mini houses, in your

9:47

backyard?" And when you look at this

9:50

copy, "Can you build a backyard home on

9:52

your lot?"

9:54

Uh

9:54

enter your address, in minutes you'll

9:55

have a written verdict. This is a real

9:57

report. Yours looks like this. And it

9:59

actually creates it. Look how beautiful

10:02

this is. The little animations. The copy

10:05

is incredible. I'm going to show you how

10:08

to do this.

10:09

And the way I do it is with something

10:11

called a landing page tournament. So,

10:13

let's go into the into the prompt. By

10:15

the way, in this episode, I'll include

10:17

all prompts in in the description.

10:20

Uh

10:21

And so, you can go and and and grab

10:23

them.

10:24

So, I say,

10:25

"Write my landing page eight different

10:27

ways. Different hook, different

10:29

structure each time. Then create five

10:32

judges, a skeptical CFO, a distracted

10:34

founder scrolling at midnight, a

10:35

competitor, my ideal customer, and a

10:38

conversion copywriter. Have every judge

10:40

score every version and explain the

10:42

scores. Kill the losers, merge what

10:45

worked into a final version, and show me

10:47

the scoreboard so I can see why it won."

10:50

And then I just basically attached the

10:52

idea of the day, "Can I build a backyard

10:55

home tool to find in minutes from

10:57

ideabrew.com." I put that in there just

10:59

to see if it would it would work. And

11:01

let's actually look at what happened.

11:03

So, what's great about doing these

11:05

tournaments, so I use Fable 5 high over

11:08

here,

11:10

is it basically

11:12

instead of getting one option that

11:14

maybe is okay, you're basically getting

11:17

it you're pitting it against each

11:19

other, and you're getting just a lot a

11:21

lot better a lot better output. So, when

11:24

we go to the landing page tournament MD,

11:27

you we basically got eight versions of

11:29

copy. We had five judges, 40 scores, and

11:31

one winner.

11:33

Um and it just does such a good job.

11:35

I'll go through one of these and and

11:36

then I'll go to the end just so you can

11:38

get a sense.

11:39

So, um actually, I'm just going to skip

11:41

to the I'm going to skip to the end here

11:44

just so you can see what happened. So,

11:45

it created a scoreboard. Um

11:49

final version. So, the CFO scored at

11:51

this, the founder scored at this, the

11:54

competitor scored at that. Um and then

11:56

based on that, um

11:59

it said, "This is, you know, just a lot

12:01

better." So,

12:03

um

12:04

I have been writing copy for a lot of

12:06

years, um

12:08

on on websites and apps I get, you know,

12:10

millions I have millions of users.

12:13

And when I saw the backyard

12:15

copy, like the one that won, I I

12:17

I was like, "This is incredible." Um

12:20

and the the secret sauce is that I use

12:24

this

12:26

I use this framework.

12:29

Um you can see here, like the CFO says,

12:32

"Yeah, I'm going to score this a six

12:33

because 2,000 a month is a claim the

12:35

page must immediately defend or it reads

12:37

like a Zillow estimate."

12:39

Um this is what's so crazy about Fable 5

12:42

is it's it's scary it's scary good. Um

12:46

like, yeah, a CFO might say that. Um

12:49

the the midnight founder who's scrolling

12:52

in the middle of night reads, "$100,000

12:55

on a guess is a gut punch and it stops

12:57

the scroll." You know, it's just

12:59

it's so good and um

13:03

this is just a really it's something

13:05

that I'm seeing no one no one use that I

13:08

think you should be using as well.

13:11

Um another

13:13

uh thing that Fable 5 is just incredible

13:17

at is planning.

13:19

This is something that if you're

13:20

building a startup, it's worth

13:22

considering. So, the interview before

13:24

the build. So, um the prompt goes, "I

13:28

want you to build this rough idea. Don't

13:30

build anything yet. Interview me like

13:32

Mark Zuckerberg or Sam Altman or Brian

13:34

Chesky, experts at building companies

13:37

that get PMF. One question at a time, 15

13:40

questions max, hunting for the thing I

13:42

haven't thought about. Push back when my

13:44

answers are vague. After the interview,

13:47

write the full spec and list three ways

13:49

this fails, then build the V1." So, what

13:52

I'm seeing on X and other places is

13:55

people are just one prompt-ing

13:57

these startup ideas.

14:00

And they're not getting really what they

14:03

want. It might look visually great, but

14:05

from my perspective, I don't think it's

14:07

something that has a high likelihood of

14:08

PMF, product market fit. So, we're

14:10

actually going to use this prompt to,

14:15

uh,

14:17

Let me go scroll up. We're going to use

14:18

this prompt so that we can have a spec,

14:22

a full spec that has a highest

14:24

likelihood of success. So, I grabbed a

14:27

idea of the day from,

14:29

uh,

14:30

from ideabrowser.com. It's basically

14:31

this habit widget that pings you at the

14:34

right moment. Imagine a habit app that

14:36

basically gives you a push notification

14:38

and says, "Hey, you need to work out or

14:40

you need to drink water." or something

14:41

like that.

14:43

And what's so crazy about, uh, Fable 5

14:47

high in this case

14:48

is it asked me questions. We're going to

14:51

go through some of the questions. It

14:52

says, "What habit have you personally

14:54

failed to keep in the last 12 months?"

14:57

And I said, "Failed workout streaks."

15:00

And then I said,

15:01

"And I'm just a person who wants to

15:03

unlock my potential and can always do

15:04

better."

15:06

And then it goes, "That's half an

15:07

answer."

15:09

Like, I'm getting pushback

15:12

from,

15:13

uh, Fable. Fable feels like a real

15:17

person. If that was a real person, if

15:18

that was a Brian Chesky, if that was a

15:20

Sam Altman, and they were actually to

15:22

help me build an app that gets the PMF,

15:26

they would say something like that. And

15:28

to this date, I have never had an LM

15:31

speak to me like that, and I absolutely

15:34

loved it because that's what I need in

15:36

order to create an app that has a high

15:39

likelihood

15:40

high likelihood of success.

15:43

So, it says, "Walk me through the actual

15:45

death of your last workout streak. What

15:47

were you supposed to work out? What time

15:49

of day? What happened on the day you

15:50

missed? Did you miss because you forgot

15:52

or because you remembered and chose not

15:54

to?"

15:55

This matters more than anything in that

15:57

screenshot.

15:58

Uh the entire thesis is timing is the

16:00

problem, a smarter ping fixes it. And

16:03

then I said, "I let life get in the

16:05

way."

16:06

Then it goes,

16:08

"That's a horoscope answer, Greg. Life

16:10

got in the way is what everyone says

16:12

when they haven't watched the tape.

16:14

You never let a podcast guest get away

16:17

with that, and you'd say, 'Give me the

16:19

seed.'"

16:22

You love to see it. It pushes back, and

16:24

it helps me, you know, I'm not going to

16:26

go through all of this cuz that's not

16:27

the point. The point is it pushes back

16:29

on on you.

16:31

And by the end of this,

16:33

by the end of this,

16:35

we got an incredible incredible outcome.

16:38

And I want to I want to talk about it.

16:40

It says, "The interview changed the

16:41

product more than you might realize.

16:43

What we're building shares a name with

16:45

the idea browser write-up and almost

16:46

nothing else. No widget

16:49

which just can't ping you. No week of

16:52

manual check-ins. You banned homework.

16:54

No habit platform, workouts only. It's a

16:57

phone number that can see your calendar

16:58

and text you with receipts and has a

17:00

consequence consequence you signed up

17:03

for. So, basically what it did is it

17:04

took this idea of like, 'You're going to

17:06

get a text message.' It Well, you're

17:08

going to connect it to your calendar,

17:09

and it's going to basically say, 'You

17:10

should work out now, and if you don't,

17:12

you're going to get a

17:13

a

17:14

a uh consequence.' It builds the app.

17:18

Um completely works. It built the spec

17:22

document.

17:24

And

17:27

and uh and it's just something that has

17:28

a high likelihood of success.

17:30

So, I don't see anyone doing this um

17:33

using Fable 5 helping you interview you

17:37

you know, the key is say say it's a Mark

17:39

Zuckerberg, say it's a a Bel uh

17:41

uh a Brian Chesky.

17:43

And then you get this spec document that

17:46

really just figures out

17:48

uh who you are, what the onboarding

17:50

should be, what the loop should be, and

17:52

just gives you the highest likelihood of

17:54

success, and gives you the architecture.

17:56

You can see here it says build with

17:57

Python, fast API.

18:00

Uh AP schedule scheduler,

18:03

um what the pricing should be, and what

18:05

the scope what should be out of what

18:07

should be out of scope for V1.

18:09

So, just an incredible output, and I

18:12

I've never seen

18:14

an LM do something so high-quality.

18:18

We're going to um we're going to go

18:20

through a few more use cases. I'm just

18:22

going to just uh just lightning round it

18:24

lightning round it. I'm not going to

18:26

show it in in in Claude.

18:29

Um but it's just to help you get your

18:30

creative juices flowing for okay, how

18:33

else can I use this thing? Um well, you

18:35

can hire it to kill your company. So,

18:38

everyone asks for AI everyone asks AI

18:40

for growth ideas,

18:41

but you can flip it. Give it everything

18:44

and a day to destroy you.

18:46

The magic is it ranks threats by which

18:48

one could execute itself, which is the

18:50

only threat ranking that matters now.

18:53

So, here check this out. You say, here's

18:56

my P&L, here's my pricing page, my churn

18:58

data, my last 50 support tickets. You

19:01

are a well-funded founder who hates me.

19:03

Spend the day building the company that

19:05

kills mine. Real plan, positioning,

19:08

pricing, first 10 customers you'd steal,

19:11

and the exact email you'd send each one.

19:13

Then rank every attack by how much of it

19:16

you can do yourself with no employees.

19:18

Don't be polite. I'd rather hear it from

19:21

you than read it in my mind in the churn

19:23

dashboard.

19:24

This is the output of this

19:27

is incredible. So, that insight here is

19:29

you want to mine your support tickets.

19:32

Uh Fable is incredible with big data

19:34

sets. Um it can look at your churn data

19:38

churn data, and it's going to help you

19:41

make more money from a SaaS. Now, you

19:43

can also go and buy a SaaS now. You can

19:46

actually go and refactor that code using

19:48

Fable. You can go and look at those

19:50

support tickets. I've talked about this

19:51

on the channel. There's an opportunity,

19:53

especially now with Fable 5, to actually

19:56

go buy things for not a lot of money,

19:58

kind of flip it, um

20:01

you know, or renovate it, maybe flip it,

20:03

or just keep it for profit and cash

20:05

flow.

20:06

But, the idea is basically now uh you

20:08

have something that is just so high

20:10

quality.

20:12

Um we talked about the copy tournament.

20:14

Um this is a this is a really

20:16

interesting one. So,

20:18

you give it 2 years of your notes, your

20:21

decision docs, your postmortems. You ask

20:23

it to map every meaningful decision.

20:26

What I chose, what I believed at the

20:27

time, what actually happened. Find my

20:30

patterns. Where am I systematically too

20:32

early, too late, too optimistic? What do

20:35

I always say right before a bad call?

20:37

Write me the one-page operating manual

20:40

for working Greg that a COO

20:43

uh would secretly kit uh keep.

20:46

So, what's really cool about Fable 5 and

20:49

where we are today, 2026, is you got a 1

20:51

million

20:53

token context window, which can hold

20:55

years of you at once. And I don't see

20:58

that many people doing this. So,

21:00

uh maybe you don't have old notes, but

21:03

you definitely have emails. Um you

21:05

definitely have text messages, and ask

21:07

it to find patterns in your decisions

21:09

that you can't see because you're on the

21:11

inside. And then just set up routines

21:13

that remind you of things, right? And

21:15

make you a better person. That's

21:17

something that I think we're going to

21:18

see more of.

21:20

Number five. So, Fable is really good at

21:23

noticing what's missing because it

21:25

explores before it answers. So, you can

21:28

actually point that at anything. Like,

21:30

your calendar, or your code base, or

21:32

your marketing funnel.

21:35

So, you can say, "Here's my analytics,

21:37

my content calendar, and my offer. Don't

21:39

tell me what's wrong with what exists.

21:42

Spend your time on what's absent. What

21:44

is every successful company in my space

21:47

doing that appears nowhere in my

21:49

business? What customer am I not even

21:52

trying to reach? What revenue line

21:54

should exist and doesn't? Rank by money

21:57

left on the table." So,

22:00

no-brainer, and something that I started

22:02

doing this morning, and

22:04

I've gotten some really interesting

22:05

insights.

22:07

Negotiation.

22:09

You know, if you're in business, you're

22:11

going to be doing negotiations.

22:13

And a lot of people actually go to like

22:16

Perplexity,

22:17

and they'll or or ChatGPT, and they'll

22:19

say like, "Hey, I'm going to respond to

22:21

this email. How would you respond?" Now,

22:24

with Fable five, you can actually

22:27

actually have like basically a pro

22:28

negotiator at the table. Here's what you

22:30

say, "I'm negotiating a deal with this

22:33

counterparty. Here's what I know about

22:35

them and what I want. Become them. Their

22:37

incentives, their alternatives, their

22:39

pressure. We negotiate in rounds. You

22:42

respond the way they actually would,

22:45

including going quiet or getting

22:47

aggressive. After each round, break

22:49

character and tell me what I just gave

22:52

away for free. Don't let me win because

22:55

I'm the user."

22:56

So,

22:59

just, you know, easy way to to to to

23:01

just win more deals, get get more out of

23:03

them. Um and here's the prompt.

23:07

Um we're going to do two more use cases

23:09

and we're going to get into startup

23:10

ideas.

23:11

Um so

23:13

you can get a 80-page second opinion

23:17

with Fable 5. So because Fable 5

23:20

actually reads tables now, footnotes,

23:23

charts inside documents, it can see it.

23:25

Um that's where the bodies are buried,

23:27

right? Leases, term sheets, insurance

23:29

policies, vendor contracts. People are

23:31

seeing incredible uh

23:35

I think it was Aaron Levie from Box

23:36

actually said that uh just in terms of

23:39

legal

23:40

um

23:42

you know, he he they've been seeing just

23:44

incredible outputs from Fable 5. So um

23:49

here's here's the prompt. Here's the

23:51

full contract, every exhibit included.

23:53

Read all of it, especially the tables

23:55

and schedules. Three lists.

23:58

What costs me money that isn't obvious?

24:00

What I'd rather get in 18 months? And

24:02

what's missing that should be here to

24:03

protect me? Then tell me the three

24:05

changes you'd request and exactly how to

24:07

phrase the ask. Flag anything when I

24:10

should pay where I should pay a real

24:12

lawyer to look. Now, I'm not suggesting

24:14

that you obviously just use AI to um

24:20

to do your legal work. But let's be

24:22

real. Law lawyers cost a lot of money.

24:24

And if you're in a startup, every dollar

24:26

counts. And some things, you know,

24:29

I'm just speaking for myself. Some

24:31

things I'm like, I I don't need to send

24:33

uh I don't need to send this to a

24:34

lawyer. And some things

24:36

uh I just want to know where the flags

24:38

are. So uh no matter if you're working

24:40

with a lawyer or not, um

24:42

you know, do your own research. I'm not

24:44

saying that you shouldn't work with a

24:45

real lawyer. I'm saying that

24:48

even if you're working with a real

24:49

lawyer, you should put it through Fable

24:51

5 and say, "What are the flags?" And

24:53

here's the prompt that you're going to

24:54

need for that. Boom.

24:56

Eight. Make it its own tools. This is

24:59

the most meta one and it's the one that

25:01

actually separates people who get it. Um

25:04

so after you've used it after you use

25:06

Fable 5 for a few weeks, just ask it to

25:08

study the work and automate itself.

25:11

Here's here's what I mean. You prompt

25:12

it. You say, "Look back at everything

25:15

I've asked you to do this month. Find

25:17

the requests that repeat. Build yourself

25:19

tools and reusable instructions for each

25:22

one so next time it's one sentence

25:24

instead of 10. Then tell me, based on

25:27

what I keep asking, what should I be

25:29

delegating to you that I'm still doing

25:32

by hand like an animal?"

25:34

Um and you'll be shocked. I've even done

25:37

this just over the last 24 hours what

25:39

you're been able to automate

25:41

uh

25:42

and and what you're able to and what

25:43

kind of software you're able to create

25:45

uh here.

25:47

All right.

25:48

Um I'm going to go over a few startup

25:50

ideas that are only possible now with

25:52

Fable 5.

25:54

Um I have five. Um

25:56

I'll include the full list and the full

25:58

prompts in the in the description. I'm

26:01

only going to have time to go over

26:02

three. So we're going to go over uh my

26:04

three favorite ones.

26:06

Uh the first is a synthetic focus group

26:09

firm. So D2C

26:11

brands will spend like $50,000 on media

26:13

before learning an ad doesn't work. So

26:16

remember we talked about the copy

26:17

tournament? Well, you run the tournament

26:20

as a business. 50 ad variants judged

26:23

overnight by panels built from the

26:25

brand's actual customer reviews

26:27

and then you charge something like

26:29

$3,000 per launch and maybe that costs

26:31

you $100 of tokens. And the brand's

26:34

media buyer becomes your repeat

26:35

customer. So this is only possible now

26:38

because sub agents can hold distinct

26:40

personas and argue instead of a model

26:43

agreeing with itself. Okay, here's what

26:45

I mean. Here's the prompt and this is by

26:47

the way, this is just going to be

26:48

helpful for anyone even if they

26:51

uh

26:52

don't want to use the startup idea, but

26:53

if they're doing any paid ads

26:55

themselves, this is going to be helpful,

26:57

super helpful. So, you give it 500

27:00

customer reviews. Here are 500 customer

27:02

reviews for

27:03

Athletic Greens and their 10 best ads.

27:06

Build six customer personas from actual

27:08

review language, not demographics. Then,

27:11

take these 15 new ad concepts and have

27:14

every persona score every ad. Would they

27:17

stop scrolling? Would they click? What's

27:19

their objection? Output a kill list, a

27:22

launch list, and the one insight about

27:24

this customer that the brand that the

27:26

brand doesn't know. So, someone in the

27:28

comment section, I can hear them I can

27:30

hear them now. They're going to say,

27:33

"Well, why wouldn't they the D2C brands

27:36

just do that themselves? Like, if Fable

27:37

5 exists,

27:39

you know, they're just going to go and

27:42

do it themselves. They're not going to

27:43

need your service."

27:46

Well,

27:48

that's where you're wrong.

27:50

Yes. Well, you're right and you're

27:52

wrong. You're right in the sense that

27:53

some of them are going to do themselves,

27:55

but most of them are not. Most of them

27:57

might be scrolling on Instagram and they

27:59

see an ad for this and you hit them at

28:02

the right time and you earn their trust

28:06

and the and it works and they just get

28:09

into the flow and and you're in the mix

28:13

and you don't need that many clients to

28:15

make a multi-million dollar business

28:17

from it. So, [snorts]

28:19

um yes, you're you're definitely right

28:21

in the sense of

28:23

um

28:24

now anyone has these tools, people are

28:26

going to use it, but they're, you know,

28:28

the reality is not everyone's going to

28:29

use it and that's your opportunity.

28:32

Um and if you can build a funnel around

28:34

it, there's a business there.

28:37

Another idea,

28:38

custom software in 48 hours. Maybe you

28:41

call this idea like 48hoursoftware.com.

28:44

Every med spa, contractor, and clinic

28:46

runs on spreadsheets, group texts,

28:49

because custom software costs like

28:51

$80,000 a year. So, you sell them

28:53

internal tools for $5,000 flat, and you

28:56

build it in 2 days.

28:57

The interview prompt is your sales call.

29:00

You run it with the owner on a Zoom. The

29:02

spec writes itself while they talk.

29:05

Fable builds it after.

29:07

Only possible now because it scopes big

29:09

messes itself.

29:13

Um and scoping was always the expensive

29:14

part. So, I saw on X and it went viral

29:18

that, you know, there was someone who

29:20

was recording customer calls, and they

29:22

built like the customer maybe was

29:24

complaining or something, and they built

29:26

an app while the customer was

29:28

complaining. Let's get into the prompt.

29:30

You're about to interview a bit uh

29:33

you know, a med spa owner about the most

29:35

annoying repeated process in their

29:36

business. One question at a time, 12

29:38

question max. In plain English, no tech

29:41

words. Dig until you can describe their

29:43

workflow better than they can. Then,

29:45

write the spec for the smallest tool

29:48

that kills the annoyance, build it, and

29:50

write a one-page guide their least

29:53

technical employee can follow. Now,

29:55

you're creating internal software that

29:58

they, you know, would have cost $80,000.

30:01

Now, they're getting it for $5,000.

30:03

You're probably spending a couple

30:04

hundred dollars max on tokens if you're

30:07

token maxing. Um so, the margins are

30:10

incredible. Um and you can reinvest that

30:12

money into the marketing to actually get

30:15

people into this uh into this uh funnel.

30:20

I want to give you one more startup

30:22

idea. So, um

30:25

it's a contract refund firm. So,

30:26

mid-size companies sit on hundreds of

30:29

vendor contracts, but nobody has read

30:31

those since signing. Auto renewals,

30:34

underused seats, prices that ratchet 8%

30:36

a year. You read You read all of them,

30:39

and then you get to paid 25% of the

30:41

savings found. So, uh uh it's it's a

30:45

free product unless you find money for

30:47

them. It's only possible now with Fable

30:50

because it reads the tables and

30:51

schedules insides

30:54

and schedules insides hundreds of PDFs

30:56

without dying, which is exactly where

30:58

the money hides. So, here's the prompt.

31:00

Here are all of our vendor contracts and

31:02

12 months of invoices. Cross-reference

31:04

them. Find auto-renewals in the next 90

31:07

days. Invoices that don't match

31:09

contracted rates, seats we pay for but

31:11

don't use, and the price escalators we

31:14

can challenge. Rank by dollars. For the

31:16

top 10, draft the exact email to the

31:19

vendor, including the leverage we have

31:21

and the number to ask.

31:23

And I've got two more bonus startup

31:25

ideas right here.

31:27

So, there you have it.

31:29

Um

31:30

Fable 5,

31:32

the most powerful model to ever come

31:35

out. Um

31:36

And we're in this honeymoon phase where

31:39

we uh

31:41

you know, it's included in a lot of our

31:43

plans. Um that ends soon.

31:46

Um

31:47

but I think it's important for right now

31:49

just to get really, really good at uh

31:52

what are the prompts? What are the use

31:54

cases? What are the opportunities now

31:56

with Fable 5? Um

31:58

so that, you know, once it's API token

32:01

based, we know what what to use it for.

32:03

So, that's why I made this video. I made

32:05

This why That's why I made this episode.

32:07

This episode um

32:10

was designed to get your creative juices

32:12

flowing around what is now possible in

32:14

the world of Fable 5 because so much is

32:17

possible.

32:18

Um and I wanted to narrow in on some

32:20

ideas that are just so high value that

32:25

to make sure you're not using Fable 5

32:27

wrong, you know? Um

32:28

Now you'll know how to create copy

32:30

better than anyone else. Now you had to

32:32

know how to create landing pages better

32:33

than anyone else. Now you know how to,

32:37

you know different startup ideas going

32:39

deep into data

32:41

and and and how you can retool that

32:44

those ideas and how you can use Fable 5

32:46

to create create those those products.

32:47

So hope this has been helpful. That's

32:50

all I'm trying to do add value to your

32:51

life.

32:53

If you enjoyed this episode, please let

32:55

me know in the comments. I read every

32:57

single one

32:59

and all I got to say is I'm rooting for

33:02

you and I can't wait to see what you

33:04

build. See you on the next one.

33:05

Subscribe, like and comment for more.

Interactive Summary

This video explores how to effectively utilize Fable 5, the latest powerful AI model, for business growth and increased productivity. The presenter highlights that many users miss the model's true potential by focusing only on basic tasks or benchmarks. He provides practical strategies such as using it as a sophisticated content engine, conducting 'landing page tournaments' to optimize copy through simulated personas, and using the model to interview oneself to validate startup ideas. Additionally, he outlines specific high-value startup opportunities, including synthetic focus groups, building internal software for small businesses, and automating contract audits to find cost savings. The overarching message is to leverage Fable 5's advanced reasoning capabilities for complex, multi-step workflows rather than simple tasks.

Suggested questions

3 ready-made prompts