AI Automation Pricing Masterclass

[00:00]: This skill will make you hundreds of

[00:01]: thousands of dollars in today's AI

[00:03]: economy if you get it right. I have

[00:05]: worked with 100 plus AI agency owners

[00:08]: from all around the world and they all

[00:09]: struggle with this in the beginning.

[00:11]: Once they've mastered it, they close

[00:13]: 15,000, $25,000, $35,000 AI deals. Our

[00:17]: objective for the next 10 minutes is to

[00:18]: go over this skill, learn it, master it,

[00:21]: and I'll show you a live example of me

[00:23]: using the skill to get a 5 figureure

[00:25]: project. So, first, what is this skill

[00:28]: and why is it so important? Well, you

[00:29]: want to build an AI business, right?

[00:31]: Okay. So, if a client asks you the

[00:33]: following, hey, Victoria, can you build

[00:35]: XYZ for me with specifications ABCDE EF?

[00:38]: If so, how much will it cost me? You're

[00:40]: going to be like,

[00:43]: yeah, that will be your reaction because

[00:45]: you have absolutely no idea what to say

[00:47]: next. I mean, what process are you going

[00:48]: to follow to give the client an accurate

[00:50]: price? Oh, you have no idea how to price

[00:54]: your automations. Well, if you don't

[00:55]: know how to price your automations, how

[00:57]: can you get paid? If you can't get paid,

[00:59]: how can you keep your business afloat?

[01:01]: Exactly. You got to work a 9-5 for the

[01:03]: rest of your life. But if you watch this

[01:05]: video in full, you are going to master

[01:06]: how to accurately price your automation

[01:09]: projects so your client will say yes to

[01:11]: whatever you say and you will feel like

[01:13]: you are getting paid for your value

[01:15]: without giving your liver a kidney.

[01:17]: Lucky for you, I have a real client

[01:19]: project that has come across my desk 2

[01:20]: days ago. And I will price it live so

[01:22]: you can see how I break it down, what

[01:24]: the final price is, and how I present it

[01:26]: to the client. Get your notebook out,

[01:28]: take notes, and follow along. So, one of

[01:30]: my students actually forwarded me this

[01:32]: message from a client who wants my

[01:34]: student to price the automation, but my

[01:35]: student does not know how to price this

[01:38]: complex of an automation. So, we're

[01:40]: going to do it live for this video. Now,

[01:42]: you can see right here, this is a very

[01:46]: well-written client proposal. And

[01:48]: usually when you get a client proposal

[01:49]: this well-written, see, most people

[01:51]: don't know how to properly write what

[01:54]: they want, right? Most regular everyday

[01:57]: people can't tell a developer, hey, I

[02:00]: want you to make me this. I want these

[02:01]: features included. They have no idea

[02:03]: what they're saying. They just say,

[02:04]: "Yeah, I want some super cool automation

[02:06]: that can do this, this, this, and that."

[02:08]: But when you see a structured outline

[02:11]: like this, the person who is contacting

[02:14]: my student is most likely another AI

[02:16]: agency with no in-house developers or

[02:19]: in-house talent. You see, a big thing

[02:21]: that's going on right now is a lot of

[02:22]: people are trying to start an AI

[02:23]: business, but they have absolutely no

[02:24]: idea how to build their own AI

[02:26]: automations. So, instead, they become a

[02:29]: middleman and they try to find another

[02:30]: AI agency that actually knows how to

[02:32]: build automations and have them do their

[02:34]: project and then sell that project to

[02:36]: the client. So, they're just the

[02:37]: middleman and that's how you get these

[02:39]: well-written proposals because let's be

[02:40]: honest, whoever wrote this has no idea

[02:42]: how to build a automation, so they're

[02:43]: forwarding it to us. So, let me go ahead

[02:45]: and copy this message.

[02:48]: And the first thing we're going to do,

[02:49]: let's paste it right here. And we are

[02:51]: going to kind of break this down. Let's

[02:53]: restructure this a little bit.

[02:57]: So the first thing we're going to do

[02:58]: when pricing a client is we are going

[03:03]: to put it

[03:06]: in chat GPT.

[03:08]: Now there is a big risk with this and

[03:10]: that is the fact that you should not go

[03:13]: with the final price that chat GPT tells

[03:14]: you because a lot of times they it likes

[03:16]: to overpric it. However, what I do like

[03:19]: doing is once I paste in here, I can get

[03:22]: a good idea of what a normal person

[03:24]: would probably do because normal person

[03:26]: probably put in chat Gvt, see the price,

[03:28]: panic, and wonder if they can find

[03:30]: cheaper labor. So, I want to see what

[03:32]: price the client expects to be quoted

[03:34]: cuz they're trying to find cheaper than

[03:36]: that.

[03:41]: All right, so we're going to let Chad do

[03:42]: his magic.

[03:47]: Okay. So it broke down everything from

[03:50]: like a phase level. So we have phase

[03:52]: one, phase two,

[03:55]: phase three, four, five, six, seven.

[03:57]: Nice.

[03:59]: Estimated cost breakdown. So total

[04:01]: development cost is saying 10,500,

[04:04]: which honestly is not that bad. I think

[04:06]: I thought actually be a little more. And

[04:08]: then $250 for maintenance.

[04:11]: Okay. And then breaks down the pro.

[04:13]: Cool. Nice. Now, this is a cost that the

[04:16]: client sees, right? So, if we give them

[04:18]: this cost, they're they're going to be

[04:19]: like, well, I expected this, right? We

[04:22]: need to give a lesser cost, but we need

[04:24]: to make sure that we're not selling

[04:25]: ourselves short at the same time. So, to

[04:27]: do that, let's actually break down what

[04:30]: is going on with this project. So, we're

[04:32]: going to build a computer complete

[04:33]: operating system to manage delivery

[04:35]: staff, stocks, low cash, and wire

[04:36]: transactions, payouts, automatic depth

[04:38]: tracking. So, there the client is

[04:40]: expecting some sort of dashboard, right?

[04:42]: So we already know the client wants a

[04:46]: dashboard. Here are the specifications

[04:48]: of what we know

[04:51]: client. So we need a dashboard

[04:55]: with indepth

[04:58]: um analytics.

[05:00]: A dashboard you're already looking at a

[05:02]: four figure quote, right? Every

[05:04]: dashboard should not be selling it any

[05:06]: less than like $1,000. Secure login for

[05:09]: each row. So we need multi login. ROS

[05:11]: authentication. So roles and

[05:13]: authentication whenever you see this

[05:15]: type of work, you're automatically

[05:17]: looking at a $500 to $800 boost because

[05:21]: um databases and making sure user

[05:24]: profiles and login are being managed

[05:25]: correctly is added work without a doubt

[05:28]: and it's not something that everyone can

[05:29]: do. So anything that you can do that

[05:31]: other people can't or the regular person

[05:33]: in your industry can't is your unfair

[05:35]: advantage. Okay. Authentication plus.

[05:39]: authentication, right? Plus login

[05:41]: management, multilog management.

[05:47]: And this tells us that we're going to

[05:49]: need a

[05:51]: separate onboarding flow

[05:55]: for user type, right? Because different

[05:58]: user types will need different um login

[06:00]: and like onboardings.

[06:03]: So assign working drivers recharging

[06:04]: cash collection time delivery delivery

[06:07]: logging by driver cabin re workflow real

[06:10]: time tracking stock remaining okay um

[06:13]: financial engine see the financial

[06:14]: engine itself might be a lot of work

[06:17]: these are two core features right stock

[06:19]: and delivery management assign working

[06:21]: cash collection times and then automatic

[06:24]: calculations per driver

[06:27]: so we're automatically looking at stripe

[06:30]: probably some wire support platform

[06:34]: which I I don't I think stripe allows so

[06:36]: that might help us or maybe cabbine I

[06:38]: have no idea what cabbine is

[06:41]: oh using valid corrects each delivery

[06:45]: this is like a manager almost

[06:47]: so we need everything logged as well

[06:52]: all actions log

[06:56]: guess we need a logging system

[06:58]: like uh action history essentially and

[07:01]: Then we'll put a star for this stock

[07:05]: delivery management solution.

[07:10]: Automated messaging is like super easy,

[07:12]: right? So we have our automated

[07:16]: messaging

[07:18]: and we can use like Twilio API

[07:22]: then admin login and then just if this

[07:25]: is just how to build it, we can this is

[07:27]: we can do whatever we want to do for

[07:30]: this part. So discovering design. Let's

[07:31]: look at how chat GBT breaks it down.

[07:33]: Workflow mapping world definition

[07:35]: timeline one to two weeks. System

[07:36]: architecture course in the build

[07:37]: database 3 to four weeks. Yeah, this is

[07:40]: a very important one.

[07:43]: So this is looking like a 3 to fourmonth

[07:46]: project which I'm sure no client wants.

[07:48]: So already we're looking at chatbt and

[07:51]: it's kind of overestimating some of the

[07:52]: work. Like

[07:54]: this right here should not take three or

[07:55]: four weeks. It should take max two

[07:57]: weeks. discovering design with with

[08:00]: lovable AI. These things can be made

[08:02]: faster. It should only take one week. So

[08:04]: now you want to do is you want to break

[08:06]: down things into phases. So we have

[08:10]: discovery

[08:13]: and design, right? That's chat GBT calls

[08:15]: it.

[08:19]: This will take I'd say one week.

[08:24]: And we'll use Lovable AI for fast

[08:27]: mockups.

[08:29]: And we can also use Miro

[08:32]: for mocking up

[08:34]: and diagramming.

[08:39]: All right. So this take one week. Core

[08:42]: system build dab authentication ro

[08:45]: access three modules. The core system

[08:48]: we'll keep it at three weeks. and time,

[08:51]: what we're building, all of this plays a

[08:54]: role in the price. Okay, so all this

[08:56]: don't think that any this is busy work.

[08:58]: No, this will all make sense in a bit.

[09:00]: The financial engine again another big

[09:02]: component, right? That'll take another

[09:03]: three weeks. That makes sense. Um, again

[09:07]: with platforms with AI tools like

[09:08]: lovable

[09:10]: and got cursor and clawed code, I

[09:13]: believe this can be done even in a

[09:15]: sooner amount of time.

[09:17]: Uh, I'd say like two weeks. All right.

[09:20]: Um, and then that's financial engine.

[09:22]: And then dashboard integrations

[09:26]: dashboard plus integrations. We're

[09:28]: looking at says two to three weeks. Dash

[09:30]: was easy to create with lovable again.

[09:32]: Real time copy. This is a multilog

[09:35]: WhatsApp automation reports that stuff

[09:39]: probably two weeks. Okay. And then

[09:42]: testing is one week. always have testing

[09:43]: one week because you should be testing

[09:45]: your developments throughout the design

[09:48]: the entire development process. If

[09:49]: you're only testing at the end, there's

[09:51]: a problem. So, you want to do you want

[09:53]: to break the pricing into phases. I know

[09:56]: with with chat GT breaks it down per

[09:59]: like module, but we have five phases,

[10:03]: right? Each phase we want to assign a

[10:04]: cost. That way, we can um it makes more

[10:07]: sense and it's easier to follow for a

[10:09]: client, right? Client doesn't want to

[10:10]: see all these like different breakdowns.

[10:12]: It's easier for just understand the

[10:13]: phase. They know what they're paying and

[10:15]: for how long. Right now the total time

[10:18]: chat GPT is

[10:22]: 9 to 12 weeks. Total time

[10:26]: us

[10:27]: is say 1 + 2 is 3 + 2 is 5 7 8

[10:33]: to nine weeks if you in case we include

[10:36]: the three

[10:38]: right which is about two months you know

[10:42]: uh this is three months uh this is about

[10:44]: two months so we're saving

[10:49]: a month

[10:52]: for the client

[10:55]: Okay. Um, this is a good sell point. Go

[11:01]: some time to let the client know, right,

[11:03]: that

[11:06]: we're saving a month for them.

[11:09]: Okay. So, we are saving a month for the

[11:11]: client. All right. This is a big

[11:13]: statement that we should be able to tell

[11:15]: our client and give it gives them more

[11:17]: confidence to whatever price quote we

[11:18]: give them. Right.

[11:22]: chat which is trained on.

[11:25]: So by saying this statement we're

[11:27]: looking like we are the best of the best

[11:30]: because I mean we are saving a month

[11:32]: worth of time and chatt is using this

[11:35]: estimate based off all the data it has

[11:37]: around the world. So it's getting this

[11:39]: data from other software agencies other

[11:41]: automation agencies. If we're able to do

[11:43]: it faster than them I mean yeah that's

[11:46]: that's a no-brainer like great bonus for

[11:48]: us. Okay. So, you're able to do it

[11:51]: sooner. Now, because we're able to do it

[11:53]: sooner, does that mean we charge more

[11:55]: money or less and or less money? I would

[11:57]: say since our goal right now is to beat

[12:00]: the cost code that ChatGpt gives, we

[12:03]: want to try to get under the $10,500

[12:07]: range. And now, one thing I want to

[12:08]: note, I've been using Chat GBT for

[12:11]: pricing automations a lot. And as a

[12:13]: result, it knows that I always want to

[12:16]: underpric the client. That way, it's a

[12:18]: easier sell. they're quicker to say yes.

[12:22]: And most of the time that first client

[12:24]: you that comes to you, they're going to

[12:26]: rehire you again and again if you do a

[12:27]: good job. So, so maybe you took three to

[12:29]: 4K less the first time, but now because

[12:31]: of that, the client trusts you. They saw

[12:33]: your amazing work and now they're

[12:34]: willing to give you a 15K, 20K new

[12:36]: project, which will give you another

[12:38]: testimony, put more work on your

[12:40]: portfolio, get bigger payments overall,

[12:42]: and just help you scale your AI

[12:44]: automation agency business.

[12:47]: Okay, so with all this being said, okay,

[12:51]: we know the price goes 10,500 and it's

[12:53]: also let's say four months or three

[12:55]: months worth of work. So, if we just do

[12:58]: like um 3 months 10,500. Okay, so we're

[13:03]: essentially charging $862 for every

[13:06]: single week, right? If you go off Chad

[13:07]: GPT's model. So, if we're able to do in

[13:09]: 8 weeks, we do this times 8

[13:13]: and we're charging 6,900. Now, I think

[13:16]: this is a little bit low. So, what we

[13:17]: can do is we can add what I like to call

[13:19]: just a a bump based off your expertise.

[13:22]: Like the only reason you're able to do

[13:23]: this in a month less is because we know

[13:25]: that hey, we can use level AI for fast

[13:27]: mockups and Miro, right? We're skilled

[13:30]: at that. So, because you're more skilled

[13:32]: than other agencies, you can maybe

[13:35]: increase the price a little bit. Right?

[13:37]: So, that's 6,900. I might add on

[13:39]: another,000. Right? So, now it's $7,900.

[13:42]: Um, always go $100 less than the whole

[13:45]: number. So, instead of 8,000, do 7,900.

[13:47]: Instead of 9,000, do 8,900. It's just a

[13:49]: psychological thing. Um, so 7,900 is a

[13:52]: quote I'm going to go with. Yes, I might

[13:55]: be missing out on 3K, but hey, it's

[13:58]: okay. Al, this is 10,500.

[14:01]: So, let's just Okay, 7,900 is still

[14:04]: pretty solid in my opinion. Okay, so

[14:06]: we're going to do our quote at $7,900.

[14:11]: Now, this we're not done yet. This is

[14:13]: not gonna, you know, make the client

[14:15]: like, "Oh, yeah, for sure. I'm gonna go

[14:16]: with you guys." What you got to do is

[14:20]: you go chat GPT, right? You're going to

[14:23]: want to screenshot this

[14:26]: because the client got to see this and

[14:28]: they might already seen this, but if

[14:30]: they haven't, you want to make sure,

[14:32]: right?

[14:34]: Chad GP's quote is $10,500.

[14:37]: Let's let make sure the client knows

[14:39]: this because everyone trusts AI

[14:41]: nowadays. So, when they see that we're

[14:43]: charging almost two we're charging 10

[14:46]: $2,600 less, they're going to want to go

[14:49]: with us that much more.

[14:52]: This is like big, right? So, going to

[14:56]: let the client know they're saying

[14:58]: $2,600 with us, which is absolutely

[15:01]: amazing, right? Um, okay. Now the next

[15:07]: part is since we have our pricing our

[15:09]: final price how do we break it down for

[15:12]: the client so they understand right like

[15:13]: hey this is how we got to our final

[15:15]: quotation

[15:17]: we can say

[15:19]: what I like to do

[15:21]: is just copy paste this

[15:26]: put in chat GBT

[15:36]: Okay, cool. So, I passed into chatbt the

[15:40]: the little mockup we made, right? As

[15:43]: well as our quote and I told it to give

[15:47]: us a price for each phase and justify

[15:50]: why it priced each phase at that, you

[15:52]: know, price. This way, we can do the

[15:55]: exact same reasoning to the client. AI

[15:57]: tool speeding it up. Perfect. Look, it

[16:00]: understands that we're using lovable

[16:02]: muro

[16:04]: core system summary standard map market

[16:07]: value and look at that. It's a way nicer

[16:10]: like breakdown like and you show this to

[16:11]: the client. They're like, "Oh my god,

[16:13]: this is amazing, right?" And they see a

[16:15]: 25% cost save. That's really going to

[16:17]: make the client want to go with you.

[16:20]: And you don't have to do the pricing

[16:21]: rational. This is more for you in the

[16:22]: client negotiation. when you actually

[16:24]: have a meeting with the client and you

[16:25]: present the the the the price, you can

[16:28]: use this to rationalize it. Um,

[16:32]: cool. So now I I would do is I would

[16:36]: just save this chart into your um

[16:40]: proposal, right? And paste this chart

[16:42]: into your document proposal. And when

[16:44]: you send this to the client, they'll be

[16:46]: able to view it. They'll see the

[16:47]: breakdown and they'll see that cost

[16:49]: saving be, you know, very good for them.

[16:51]: Now, if you do not have a template for a

[16:54]: proper software, a automation proposal,

[16:57]: I have a free one in description below.

[16:58]: So, go ahead and just check that out.

[17:00]: Um, it will make your life so much

[17:02]: easier. AI is your friend when it comes

[17:04]: to pricing client projects. So, use chat

[17:06]: extensively. Make sure it's not

[17:08]: overpricing things. Let it know to do

[17:10]: fair pricing and make sure your software

[17:12]: design proposal is very thorough. Again,

[17:15]: temp free template in description. And

[17:17]: go ahead and send that to the client.

[17:18]: and the chance of you landing that

[17:20]: $5,000, $10,000, $30,000 deal is going

[17:23]: to be so much higher. You now know how

[17:25]: to properly price your projects. And if

[17:26]: you want to work with me one on-one in

[17:28]: scaling your AI automation business,

[17:30]: then click the first link in description

[17:32]: below. You can be my 123rd AI automation

[17:35]: agency I work with. Yeah, it's been

[17:37]: crazy. And if you want to watch me build

[17:38]: and sell AI app live, watch this video

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JavaScript Fundamentals Quiz

Test your knowledge of JavaScript basics

180s

Question 2 of 5

Question 2

Which method is used to add an element to the end of an array?

A. push()

B. add()

C. append()

D. insert()

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