going. Welcome to your early morning edition. Happy October.
Hey, Jeremy, good to see you. I know it's early for for for
Jenny 7am. Welcome, especially West Coast and those on
mountain time. We appreciate you making the effort. This is very
exciting for us. We've been working at this for a while. And
I know we've got a couple more people still coming in. And then
we're going to just jump right in and, and give you what you
came for, which is to talk about AI and from forge and everything
that we're doing there. So, hey, I'm thrilled to have you, we're
going to jump right in. You may recall at our last in person
when we're all together, we gave you a high level, early peek
into prompt forge as a way to really actively manage prompts
as a first class digital asset in your business. In other
words, so what does that mean in simple terms, it simply means
this. And Glenn will get into the details. But this simply
means that instead of everybody just using chat GPT, or some AI
tool somewhere or another, and you don't capture that
knowledge, they can't even go back and find their own ones. So
there's no way to enhance prompts. And the reality is that
prompts don't make themselves and not all prompts are equal.
Good prompts equals good results and poor prompts is poor results.
And so the question is, how do you make them good? How do you
track them? And then if one guy cracks the code, if one person
in the team cracks the code, how do you spread the good news? How
do you spread that in the organization or in a team? So if
the marketing team crack something, now does everybody
have to go through exactly the same learning curve? And if they
leave, they take it all with them, we just lose all that
intellectual property. So that's what we mean by being a digital
asset, it means that we teach people how to grow and version
their prompts. And when they experiment and suddenly dial it
in. And I gave the example last time, that, you know, I suddenly
realized we're not doing this recording thing. It's my
favorite thing. Oh, it is it is recording good automatically
recording. So and so last time I shared with you that I was, you
know, every time I ran a prompt on some of the stuff Graham and
I working on, he did not like it at all. It you know, because
it's good and brilliant. We're really particular about language
because language is what we're developing in partnership with
the Lord. Because we want to make him known in the way he
wants to be made known. Right. So it's not just how we get to
tell the world what we think it's we want to capture how he
wants us to make him known. So that's our thing. Of course, it
brilliant. So that also means that and it took me almost a
year to refine that prompt. And when I got that prompt refined,
where did it go? I couldn't share it easily. I couldn't
click and share it with with the team. I couldn't easily do
anything with that prompt. So it's there. And so we guess
where did it end up in? I end up making an Apple note, copying it
in there. Now I got a pile of Apple note, prompt things and no
one can see that. And that's probably more disciplined than
most people. Most people like where was that prompt I did
scanning through the history, you know, I'm talking to you,
right. So the thing there was, so number one, how do we capture
quality prompts? Number two, the quality of the prompt is driven
heavily by the context you give it. And so we shared last time
that, that what if you had a context manager and what most
people don't realize, you know, because we didn't know this, we
made 176 page context, we told, we told it everything about our
business and every product and our history and our legal
structure and our team and what our goals were and blah, and what
theology is. And then we found out every time we're sending
that prompt, we're paying for 176 page prompt. Each time, we
had no idea we were being done as a brick, because how did how
would you know this? So it was expensive. And the reality is we
didn't really have to have all that context. And sometimes you
just want, hey, help me write this email, you don't need all
that. And so, so then we found out that not all tasks are the
same, not all contexts are the same, not all prompts are the
same. With that in mind, you know, I'm going to hand it over
to Glenn, to share with us where we're at and what we're doing.
And, and just sorry, just before I do. So welcome to everybody.
So good
to have you on the call.
And today's AI day, unless you didn't catch.
So if you just jumped on,
we're talking through Promforge, what it means.
And so today our business goal is to hand it over to you
for beta testing for October, play with it,
play with your team, get people on,
and then give us feedback for the idea
of launching it in November.
So we're excited about this.
So me personally, I've been trying to build Promforge in
as my actual working memory.
And that's the first thing,
that's the first resistance to change you might find is,
well, I just figured out Claude or ChatGPT now,
and now, and that's fine, they can still use those.
But once they see what this can do,
we're hoping that there's no going back.
And so I've started to use Promforge,
and I'll tell you upfront, my favorite ability
is to say, here's a prompt, so I pick a previous prompt,
I pick the context, maybe I add a few things,
and then I say, compare this,
and then I pick four LLMs next to each other.
Tell me what ChatGPT would do with this,
Claude would do with this, Gemini or whatever,
and you run them all in simultaneous
and you get to see the best one.
So that means you're starting to learn
a whole new level of subtlety, right?
Actually, when it comes to language, Claude is better.
When it comes to anything scientific, mathematical,
oh, Grok's the best.
When it comes to, and so now you're getting
a refinement of intellectual property.
And then maybe the last thing,
which we sent you in that podcast,
did anyone get a chance to listen to that podcast we sent?
Yeah, no?
All right, a few minutes of it.
So the point of that was to say that
once you're honing in your business to that level,
what you find out is it's not just
how do we make individual peoples go a little faster?
What if we can have whole business processes replaced?
But how are we gonna do that
if we have no ability to manage that?
And that's what we're gonna address.
So Glenn, I think I'll tee it up for you.
Fantastic, in fact, I think we've pretty much covered
most of the front end.
So that's awesome, Dion, and again,
super excited to be back with you all
and share the updates and share what we've got.
So let me do this.
I'm just gonna start by sharing some slides.
Is that visible?
Yeah, I can see.
Okay, good.
Is it in present mode or not?
It is, yeah.
Okay, fantastic.
All right, so what I was planning to do today
is to do a recap of the problem we're solving.
Dion did a great job of covering that.
I'm gonna run through a few extra slides
that I put together.
There's been some new research
that's come out in the last month since we've last spoken.
But I think it's really worth sort of highlighting
and it just totally underscores
what we're doing with Promforge.
We're then gonna get into what is Promforge
and then also what it's not.
And then we'll get into the bulk of what we're gonna do,
which is really the demo.
And I want you to do a much more sort of thoughtful
walkthrough of the platform versus what we did last time.
And actually just follow a narrative all the way through
and show the different elements of the platform.
And then we'll talk about onboarding
and end up with an e-Q&A.
Sound good?
Sounds great.
So when we met last time,
we referenced this McKinsey article
that had just come out at then,
which said 80% of companies investing in AI
were not seeing a bottom line return.
And that was completely shocking.
Subsequent to that, MIT have released
a very comprehensive study,
300 companies, $40 billion worth of AI investment.
Their number said 95% failed.
It's, there's a crisis.
There's, companies are not getting the return
on their AI investments.
And then OpenAI last week released a really good paper
on an analysis of chat GPT and all the use of chat GPT.
The shocking thing from that is only 27%
of all chat GPT OpenAI use is businesses.
The rest is personal.
And that number is declining.
It's getting worse.
So for companies, there's a very real problem
that they're dealing with,
which is how they can actually start driving
real bottom line returns from their AI.
AI. So that's sort of the first part of the story. The one paper
put it this way is for enterprise AI, it's essentially
Grammarly on steroids. That's basically what they're doing. So
even that 27% that companies are using it for the usage in
business context is still like it's like polishing a, an email.
That's what most companies are doing. But it's worse than that.
Because as Dion was talking about, that it's really a
throwaway asset. So kind of the people that are using them, it's
just it's a Wild West out there, ungoverned, each person's
writing their own prompts using their own preferred tool. And
there's no, there's no compounding of value from AI
inside of that company. I'm going to double click into that
statement a little bit more in a moment. But essentially, it's a
it's also risk inducing. So for enterprises, when you have these
unmonitored prompts, unmonitored AI systems, there's a very high
risk of IP leakage. What very few people understand is that
most of these AI companies that you're using, actually train
their models off of your data when you prompt. And so the
question becomes, how do you mitigate that risk? And part of
what PromptForge does is it provides a means by which you
can instruct on every one of those prompts, not to train on
that data. Now, that doesn't necessarily mean that those
companies will abide by that. But it does give you legal
recourse, if you find that they have, you've now actually got a
basis, because you've instructed them specifically, but most
companies don't even know that that is a thing. So that's the
situation. And what was really interesting is, as I started
reading these things, it started to come into focus for me that
that there's really two types of, for want of a better word,
networks, AI networks that exist in companies. And this this
harkens back a little bit to my consulting career, I spent 20
years in PwC. And early in my career, we actually built a very
substantial practice around what we called shadow IT, where
we're helping companies actually control IT usage inside of the
organizations that was done on spreadsheets, or whatever the
case may be, uncontrolled by the, by the business, but users
were just using Excel or whatever, and causing all sorts
of problems for the business. It just reminded me that we're in
exactly that same place here right now with AI.
So Glenn, one quick thing is, Ray brings up a good point here.
Ray, did you want to make your own point there about AI
investments? And
no, I just, I just thought the podcast that you sent out was
just really powerful and comparing just irrational
investments without getting a return, very similar to the dot
com boom. And so I just I'd never thought those two things
together, but I just thought that was powerful.
Thank you, Ray. Yeah, and appreciate you calling out down
because I can't see the chat panel while I'm sharing it. So
thank you for calling it out. Yeah, exactly. Right. And, and
so this, this goes back to that time where, where it basically
it's, it's a shadow thing companies, if they're not
actually intentional about this, it's happening across the
organization unseen. 73% of AI usage is in darkness, as we
mentioned, ungoverned security issues, and essentially value
destruction and waste. That's the one whole, very real, but
largely hidden reality, hidden network. But on the other side,
and this, it dawned on me that there's a, there's another
network that also in effect, and that's also somewhat hidden, but
it's the positive side, it's the comp, what I'm calling compound
value network, and that podcast was called strategic value
network. But I think compound values, maybe a little bit of a
better term, still a little consulting, but but the point
being is that there's, if done, if certain things are done, you
will actually get compound value to the business. It's maybe just
worth a comment on this. What triggered this thought was some
research that I that I saw from the early 2000s. It was called
value network analysis. And the hypothesis there was that the
pathways value creation pathways in an enterprise doesn't does
not match the organizational structure for most companies.
And for
they start to actually model and define
what those value creation pathways are.
It allows the leadership of those organizations
to better structure their companies
to optimize for that value creation pathway.
When you take that thing and actually shine a light on it
and understand how value is created in the business,
it totally transforms how you can manage that business.
Same thing here with AI.
If we can shine a light on what this sort of
compound value network is
and allow companies to actually start to manage this
in a disciplined way,
we can drive significant value, I believe, for companies.
This is really highlighted by a tweet,
a ex-post I saw this past week.
And I'll read it because this is,
this absolutely encapsulates the point
I'm trying to make here.
This guy, JB, says,
when I first started layering in AI into my workflows,
I thought of it as time savings.
One hour saved here, two hours saved there.
But over months, I realized it's more than that.
It's compounding.
Shorter feedback loops equals creatives rotating faster.
Faster reporting equals ops catching leaks earlier.
Quicker insights equals tests run in days, not weeks.
None of these things feel like huge needle movers
in isolation, but stacked together,
they change the tempo of the business.
And in growth, tempo is everything.
Brands that can iterate three times faster
don't just save time, they outpace everyone else.
I thought that was a very articulate
way to say what we're trying to say here
about the compound value.
And of course, that triggered the thought
of Elon Musk's famous statement of,
what matters is the pace of innovation.
That is the fundamental determinant of competitiveness.
So all of that to say,
compounding really beats efficiency at the end of the day.
And that at a very sort of conceptual level
is the sort of the backdrop of what we're talking about here.
Are you going through the slides, Glenn?
Because we're still just seeing the Promforge slide.
Oh, you're not seeing any of my slides?
No.
Oh, terrible.
I've been paging through all the slides.
This is a very long introduction.
Okay, so I've got to go back here.
So I'm sorry, we totally didn't see any of my amazing-
No, it was all amazing, but we didn't see any of it.
Just do a quick rewind and just do a quick, this is...
Okay.
These were such great points.
I thought you should have made slides with these.
They're so good.
Oh, yeah, so I apologize.
Well, since we're recording it, we can cut and tap.
So I apologize for repeating myself here,
but let me go through this.
The key thing is 95% of enterprise AI investments
fail completely.
A month ago, when we first spoke,
the McKinsey report had just come out, which said 80%.
In the last few weeks, MIT came out with a report
analyzing 300 large-scale AI investments
totaling $40 billion, 95% failure rate.
And OpenAI, in the last week,
came out with their analysis of the use of ChatGPT,
and that was startling.
27%, only 27% of the use of ChatGPT
is actually in any form of a business context.
The rest of it is personal.
And that 27% is declining.
So this will just says that businesses
have not cracked the code on how to derive value
out of the AI investments,
and that's what Promforge is addressing.
I like this statement in one of the reports.
It basically says, essentially, it's coming down to,
for enterprise AI, it's essentially Grammarly on steroids.
That's basically what they're doing,
is using it to polish an email.
That's kind of sort of what it comes down to.
There's no understanding of the strategic value
that AI prompts and contexts can provide to the business.
And said differently,
there's this sort of shadow AI network that exists.
It harkens back to the days of,
my consulting experience,
we built a whole business around helping companies
with the shadow IT.
People were using spreadsheets to run their businesses
and so on and ending up creating all sorts
of massive problems for enterprise
because it was ungoverned, uncontrolled, unmanaged.
And we're back to exactly the same state here with AI.
We've got a shadow network of everybody
using their favorite tool, ungoverned, uncontrolled.
As Dion mentioned in the opening comments,
it's really throwaway assets.
People kind of write a prompt,
use it, might be good, might not be.
And even if they do hone that over
time and get it better and better and better,
where does it live? How is it shared
with the rest of the organization?
It isn't. And if that person leaves or anything,
that IP is essentially gone from the enterprise.
So it's a throwaway asset.
And then it's also risk-inducing because
very few companies actually appreciate
the risk that they're running with these AI models.
Most of these companies are actually
training off of your prompt data.
So when you submit that prompt with
all your financials and all of that type of stuff,
it's now sitting inside of their servers,
inside of their business,
and they're training off of that data.
Very few companies know that you can actually
instruct those companies to
not train off of your data when you submit the prompt.
PromptForge takes care of that for you.
So that's part of the governance capabilities we add.
So that's some of the issues.
And this brought up the realization that we really have
these two different network
effects taking place inside of organizations.
There's this shadow AI network that we've just mentioned
that is 73% of AI usage is in darkness.
It's ungoverned.
We have all the security and compliance risks,
and it's essentially value destruction and waste.
But there is another network that exists,
and that's what I'm calling the compound value network.
This harkens back to some of my consulting work in years past
where there was this thing called value network analysis,
where what they were doing is they were recognizing
that the value pathways inside of an organization,
how value was created in that organization
didn't actually marry or correlate
with the way the organization was structured.
And so most companies go through reorgs, reorgs, reorgs,
but it's without an actual understanding of how
the value flow works inside of an organization.
And so that created a whole opportunity for consulting
to help companies shine a light
on what was essentially a hidden network
inside of the organization.
And when they could do that,
they could now actually start to manage
that value creation pathways,
organize and optimize the business for that value creation
and thereby drive significant value.
So as I was thinking back to those days,
I realized exactly the same thing happens with AI.
There's these two networks, the shadow network,
but then there's also this compound value network
if harnessed can produce significant return.
And this was really highlighted
and I think perfectly stated by this guy called JB.
This was from last week where I saw this post on X
and he said, when I first started layering AI
into my workflows, I thought of it as time savings.
One hour saved here, two hours saved there,
but over months I realized it's more than that.
It's compounding.
Shorter feedback loops equals creators rotating faster.
Faster reporting equals ops catching leaks earlier.
Quicker insights equals test runs in days, not weeks.
None of these feel like huge needle movers in isolation,
but stacked together, they change the tempo of the business
and in growth, tempo is everything.
Brands that can iterate three times faster
don't just save time, they outpace everyone else.
So this, I think, just absolutely captured this aspect
of really compounding beats efficiency.
Efficiency is sort of a linear,
this aspect of compounding takes the business exponential
and reminds me of the quote from Elon Musk we've all heard,
what matters is the pace of innovation.
That is the fundamental determinant of competitiveness.
So this is the key thing that PrimeForge is targeting.
So it's to kind of bring it from this conceptual level
and start bringing it down to practical things
about what is it that we actually do.
The key thing here is that stewardship of AI
is really around stewardship of these prompts and contexts.
Think of prompts and contexts as the control knobs
of this compound value network.
To the extent we can manage contexts and prompts,
we can manage and influence this compound value network.
So the stewardship in,
drives the alignment, it drives safety and governance,
and ultimately compounding the tempo.
So at the end of the day, the bottom line
is, as Dion had pointed out at the start of the call,
prompts and contexts must become first class digital assets
for the business.
That's the key proposition here.
So in summary, what is PromptForge?
It's exactly that.
It's a platform for organizations
to steward their prompts and contexts
as first class digital assets of the organization.
And if I kind of just sort of jump forward
to what it's not, it's worth just
talking a little bit about this for a second.
What we're not trying to do is to make
this another multimodal video, audio imaging platform,
like if you go to ChatGPT or Grok
or any of these platforms.
The key thing here that we're trying to do
is we're really focusing on helping companies deal
with prompts and contexts.
So based on that earlier research
that I cited from OpenAI, 93% of ChatGPT usage
is still text-based.
So I think this just underscores,
let's not try and sort of compete with the multimodal.
If you need multimodal, use ChatGPT or use Claude
or whatever.
But this is about managing prompts and contexts.
And same thing with some of those rich features
like anthropic artifacts and so on.
By the way, and we'll talk a little bit more
of this when I get into the demo,
we are actually going to include
what's called an MCP integration.
So this is a connector into Claude in ChatGPT.
So if you do need to use Claude or ChatGPT
for some of these other features,
but you still want to have the context
and the prompts that PromptForwards is managing,
there's a way that we can support that.
So we'll talk a bit more about that later.
And the other thing to say is,
we're not trying to make this a consumer app.
We're really focusing on enterprise business users
and likewise, not a mobile app.
Questions, comments on that?
Let's open the floor.
Thoughts, ideas?
Any surprising revelations here for you?
Ben?
I just think you've done a great job
of raising the problems and putting a fine point on it.
And I think that PromptForwards
kind of moves the conversation forward.
I think for us, it's still a question of use cases
and how it applies to our industry.
But I think the idea of,
I mean, understanding the value creation pathway
and the compounding effect is interesting.
So that made me go, hmm.
So I'll think about that for a bit.
Yeah, you raise a great point, Ben.
And that is, how many of us really know,
even in a small business,
if you count all our folks together,
or even if include, we've got whatever, 16 people,
and how's value created at Brilliant, as an example?
Do we actually know?
And would we know how AI would help us compound that?
And the answer is we don't.
I think that it's helpful to know
that almost none of us know how value is created.
I mean, just real talk for a second, right?
And so the bigger the organization gets,
the more obscure that value creation mechanism is.
Because in a small company,
it's often the leader is the value creator, the driver.
We're doing this now.
Now we're running at this.
Then we're doing this.
But that's not a sustainable, scalable plan
in the long term.
So the way a company starts
is not the way it's going to scale.
So what happens is when we were, you know,
five and 10 and 15 people,
these problems all hit when you get past 15 employees,
get to 25, it's a whole new set of problems, right?
So you get to 50 and so on.
So what happens is we lose sight of what creates value.
And especially as we get, you know,
like you start building out an executive team.
Well, your structure doesn't reflect
your value creation mechanism.
So that's the first thing.
I think it's helpful to say we don't know,
or at least we can guess, but we're not sure.
Two is how will the compounding work and AI contribute?
Truthfully, no one knows.
And it's useful to say that too.
And that's why no one's getting a return
because I don't know.
I think we've applied historical management mechanisms
to try to manage AI and it doesn't work.
So it's helpful to stop doing that, right?
It's like, well, we're introducing streaming video,
but we got this blockbuster store with lots of VHS tapes.
So maybe we should ship them faster, you know?
So shipping faster is not gonna help a streaming business,
you know, and it feels like that's what we're doing.
I think we're coming up with methods,
management methods for an old modality.
No one's looking for the VHS tapes
and no one's coming into the store anymore.
And so we go, oh, we'll put up a spreadsheet
and then they can pick their VHS tapes directly.
You know, they have to come into the store.
That's still, that's how it feels.
We're in that stage, which is by the way,
the most normal thing when a brand new
disruptive technology enters.
Think of when email arrived.
We didn't know what to do with email, right?
Well, why don't you just send a letter?
It's more formal anyway.
Of course, the lawyers jumped on it.
It doesn't count if it's email.
Today an email counts in a court of law.
So the issue comes to, if we don't know,
then the third question is, well,
what pathway can we take to discover those two things?
And that's what we were trying to build into Promforge
so that while we don't know, we can start to learn.
Just like that great quote you read, Glenn, from JB.
Is that, that's not the JB, is it?
X testing?
I don't know.
I went and looked, it's not the same JB,
although he has the XAI little logo in the top.
So I went and looked to see, hey, is he actually,
but he's not the same JB Straubel that you're referring to,
that I don't think it is.
So the point of that was only that
when the people who are supposed to know, don't know,
when the experts don't know,
how the heck are we supposed to know, right?
So the good news is no one knows.
And the data's proof, all the data Glenn showed us,
nobody really knows, but the value is there.
The question is, what's the massive strategic advantage
to us as a group of kingdom enterprises here,
no matter how big or small we are,
to leverage this and to figure this out,
because we have one massive advantage.
We have the genius Holy Spirit who knows everything.
That's exactly right.
So what we've been trying to do is saying,
Lord, wouldn't it be amazing for once
that something comes from the kingdom?
We're not always looking,
it's not always the kingdom looking to the world,
like what should we catch up on?
What's the latest thing?
By the way, JB marked himself as a vibe marketer.
I noticed that in that thing, yeah.
So, all right, well, any other thoughts, questions?
Because I think you're probably keen to jump into the demo,
but any other, I just want to take a minute
and just breathe, it's a lot to absorb.
Man, I'd just say, keep going, man.
I love that you're engaged in the conversation
and that you're in this place,
because I think it's brilliant
and I think the Lord loves it.
Yeah.
Thank you, Ben.
I feel that so strongly.
Dion and I keep talking about,
we really feel,
and we're so excited about what this is, what this can be.
And we really think it's something
that the Lord has given it into our hand to do.
And so we're excited about it.
Can't wait to see the impact.
And I think there's,
I think to the earlier conversation,
I think there's a lot of learning.
We'll talk a little bit more after the demo,
which is around the adoption side of it.
Ben, you were speaking about use cases, right?
Okay.
This is great and it's a great tool and all this,
but at the end of the day, it has to connect.
It has to land inside of the organization.
So we'll talk more about that at the back end of this.
We've no shortage of ideas,
but we want to hold back a little bit
and really execute based on feedback we're getting
as opposed to, hey, we think this is a great idea.
Let's go do this.
You know, so.
All right, shall we dive into-
Let's go and see the good stuff.
Yeah, let's go and see,
make sure I'm in the right one here
and hopefully you can see that.
Now I'm going to go through and tell me,
make sure that my screen is updating
because I don't want to end up
with a situation where it's not.
So what you can see at the moment to welcome to Promforge.
Yeah.
Just before you jump into that, Glenn,
guys, just feel free to unmute yourself and talk.
And I talk, you know, just chat.
I mean, you're a small group here and so just talk.
Don't, don't, just,
what we really want is your engagement.
So if something comes up or terms used,
or you want to know more about something,
just interrupt Glenn as he goes through it.
Please do, yeah.
And I think it goes without saying,
but part of what Dion and I are really needing
the feedback on is, okay, what-
resonates, what doesn't, what's clear, what's not,
you know, as we start to sort of dial in
the story and the messaging.
So really value the feedback.
All right.
Can see what I see?
The thing has gone away, right?
Yep.
Okay, cool.
So when you first log in, brand new,
you've just registered, got in,
this is the first screen you're gonna see.
This is called the launch pad.
This is really where all the action happens.
We've tried to make this just the place
that you focus on in your work.
And to that end, we've got things like
you can actually just hide everything.
So it just becomes one workspace for working.
So that's what these little things do here
is hiding and opening up the space.
When you first get in,
you'll probably wanna come up over here.
You wanna come and just set your profile up,
you know, upload an image.
You know, and basically do something like that,
set up your name.
Oops.
Here we go.
Can't even type straight here.
Okay.
And so on and so forth.
So that's just getting you oriented, set up and so on.
Now, there's a couple of other things worth knowing.
Just a quick touch on them.
You can set whether you like material,
dark mode, light mode.
By the way, what shows easier on Zoom?
Is it dark or light?
I think light.
Yeah, okay.
Thought so.
But whatever you want, you can set that up.
We'll talk more about this.
There's a notification bell.
So we have a means of being able to send messages to users.
And at the top is your,
what your company is and what tier is that you're on
with the platform.
Let me just hide this so we don't keep getting this.
All right.
So that's just a really quick orientation of what you see.
The key thing is the actual chat panel over here.
This is just like ChatGPT or Claude,
where you're gonna enter your chats.
However, there's some really key significant differences.
Number one is you can see on a constant transparency
exactly how many credits you've got at any point in time.
We'll see this more as we go.
Prompts are right there.
So back to the story of being able to have managed prompts.
We'll see how we manage these in a little bit.
When you first start,
there's two prompts that are preloaded into every workspace.
One is just a welcome to PromptForge
and another is a meta prompt,
which is a prompt to create prompts, which is very cool.
We'll get to play with this a little bit later.
But if you're looking to get a high quality prompt,
you can use this prompt
to actually create your high quality prompt.
But if you just wanna select one,
you can select the prompt that you want.
And the contexts are which contexts are turned on
for this particular one.
We'll play a lot more with this in a moment.
So this is where you can see what is going to be turned on,
which particular model you're using,
and we'll come back to compare later.
So now if we hit go,
what you can do is you can see
it's starting to stream the response.
And Dion, you'll notice now
you can scroll back while it's streaming.
So that was one of the things we spoke about.
You'll notice that it's all formatted
according to what's called markdown formatting.
And so it formats all the responses beautifully
and there you go.
What comes out at the bottom
is it tells you exactly how many tokens it took,
exactly what the cost of that was,
and which model was used for it.
So back to from a governance and a control point of view,
you know precisely at every single step
exactly what it's costing you.
And also, even if you look,
I was gonna go back.
Glenn, if we'd had that at Brilliant,
we would have realized that
that massive thing we kept uploading as our base.
Look, we have 176 page prompt.
Why did I just pay that much money?
We would have immediately known something was wrong.
Exactly, exactly.
Now look at this,
like even on the prompt that goes out,
if you just look and see there,
you can just hover over the thing.
It will tell you the user was only 117 tokens.
That was the prompt that I gave it.
The context that it attached to it was 1800 tokens.
That's still very small.
Yeah, on that one that we were doing
with that massive 170 something pages,
I don't know how many hundreds of thousands of tokens
it was using every single time we submitted it.
Yeah, but we're so smart though.
Look it up.
That was brilliant.
Just very expensive.
Part of the $87 billion learning.
That's right.
Yeah. Other than that, it was a great idea. Yeah.
That's right. So anyway, so the point being is like we're giving
max, max transparency, literally to the fractions of a penny,
this, this, this total one was, was point eight of a cent was
the cost of this particular transaction. So complete,
complete visibility. So that's, that's the first the first thing
that we will see now. I mentioned the context. So let's
go and try something just to show you how these contexts
work. What happens if I turn off markdown? Okay, I'll go back,
I'll start a new, a new conversation. By the way, I was
confused because when I ran it on the same conversation, it
still showed markdown. I'm like, hang on, I turned off markdown
until I realized is that the conversation maintains all the
past history of that conversation thread. So of course, it had
all the context of markdown as part of its history. So that's
why it's just a little, little thing I discovered. But if we
start a new one here, and again, we just say, let's just say,
welcome to PromptForge. We run this one now. Now, what will
happen is, you see, it's got, I'll actually still do some.
Yeah, but it's pretty much no, no markdown in that one. So it
just shows you how you can turn on and off the context. Right,
so that's super, super simple. Let's, let's go to start playing
with and up our game a little bit with prompts. So we saw
that there were just these two prompts that came preloaded
with the system when we start. So now we can go to the prompt
template page here, and actually start to set up all prompts.
And this is, this is the first sort of key place where you can
start to steward and manage the prompts for your organizations
in this place over here. Just from an orientation point of
view, it shows you how many prompts in this particular plan,
the pro plan, it's got 10, you can have up to 10 prompts in
the, in the, in the pro plus, it's, it's infinite. This is 10.
Dionne, here's your list view that you had spoke about. What
we realized is the card view looks really cool and all when
you've got a handful of cards, but when you start getting to a
dozen and many, many more, it becomes very, very difficult to
manage. So we created a list view, and you can order by most
used last updated alphabetical date added. So you can filter
on your, your prompts a whole lot better that way. Every one
of these pages is a help page that will pop up and give you a
whole lot of information about what to do on this particular
page. So your help is there. Now I want to show the
marketplace. So you don't have to start by creating your own
prompts. You can, and by the way, if you are going to write
your own prompts, I really encourage you to try this meta
prompt. We'll play with it in a little bit, but it will help
you craft a high quality prompt that matches the clear format,
the standard that we put together, it quality scores the
prompt, but make sure that the, the prompt that you're creating
is going to be a high class prompt for your organization.
But that said, if we go browse the marketplace, so we've
actually, we've seeded the platform with a marketplace of
almost 1000 prompts of pretty much, I mean, it's the gambit
this is, I think, 72 categories of, of, of prompts in that's
broken out. And we basically use the sort of Amazon book. You
know, if you go to Amazon, you ordering books, the category
categorization system that Amazon users thought would be a
good way to do it. And so we followed the same sort of
structure. And then we've actually loaded preloaded the
platform with 1000 prompts that all match the quality standards
that we've, that we've said. So that's a great place to start.
So let's, this is instead of creating one, let's just go,
let's say I want an NDA. So here's one here, bulletproof NDA
creation guide. And I'm going to install that into my
workspace. So now I've got this, this, this prompt. And now we
can use it. Now you can launch it from in here if you want, or
you can launch it from the launchpad. I'll just launch it
from here. But what it's going to do is take you to the
launchpad. And it's going to run that prompt.
what's really cool to see is that the prompt has the concept of variables. So
when we actually create these prompts we actually put in what the
what the variables are that this prompt needs. So in this particular case let's
just say CTO and it's going to be a startup and it's going to be a
industries tech just something like that right. Oh and I'll actually before I do
that I want to just turn my context back on global markdown formatting that's
what I want. Go back to my prompts over here and go do this one. Let's do that
again.
You got it covered global markdown formatting real quick again. Okay I missed
the markdown the understanding of markdown. It's not it's basically all it
is it's just a way to make a pretty output so I'll show you I'll show it in
a moment. Well while Ben's typing Ben I'll just all that is is it's like you know
when you've got a imagine a pilot text in a Word document right all this is
just adding headings and color. Okay yeah that's all markdown is it's just saying
hey this is heading one this is heading two this is heading three. It just makes it
pretty and makes it more readable right and you can do things marked out that
exposes that everything is an AI now. That's right so now we're telling the
model when you reply you need to format your response according to these rules.
Got it. And you can but we've created a markdown context you can clone that and
modify it if you want and we'll see it in a moment. So you can you say you know
what you don't really like how it's doing it when you get there that's sort
of under the more advanced things just simply clone it and modify it to do what
you want but the point being you're starting to see how you can start to
control your interactions with AI and standardize them across the enterprise.
So here's an example you can see it's nicely marked down it's got blocks of
stuff etc etc callouts nicely marked the thing and that's a this one's using
Claude Haiku. All right now you'll notice that it's got no signatures execution
it's got no knowledge of who I am so we need to we need to actually go and
create a context because and you've got the markdown formatting and you know in
the basic platform guide here so I'm gonna just quickly copy a thing here we
go back give me a second here there we go copy this okay. We just created a generic
NDA for some CTO of some business owner or whatever generic yeah it didn't know
the context so now Glenn you're creating that for us. So yeah now I'm gonna say
okay I need a Glenn Hobbs profile okay
so this one is all about if I can type all about Glenn. Now what I'm gonna do is
I'm gonna paste I just copied and pasted from a document that I've got so this is
one that we've done it brilliant so I'm just using my brilliant my brilliant one
which what's my role what are my responsibilities I could have just put
my contact info and it would have been fine for the NDA but I wanted to point
out that we can start putting in a whole lot information about who I am as a
person what I love what I don't love is context that the AI will now know who
much more about me and so when it's replying or responding to prompts it now
can respond with that as much as the context to optimize for me. I can also
specify the scope what this is just to say okay by default it'll go to the
organization so everybody in the organization will see this but there are
many contexts that would be personal you don't you if you you want to just keep
it for yourself and not expose that to everybody you can put that in in tag it
personal now it will not show up in anybody else's context. Likewise you can
scope it to the team so if you have a finance team for example there might be
certain contexts about the finance operations that you want the finance
team to know but you don't want to expose it to the whole organization so
you can scope it to the team. Global is is
what those other ones were, which will apply to the platform as a
whole. You can't, if without the right permissions, you can't
assign global. If you did, it would apply to everybody,
everybody's workspaces. And so you need super admin rights.
In other words, that will go to all Promforge users.
That'll go to all companies, all employees everywhere. That's
why it's called.
Which reminds me, Dion, I have to double check and make sure
that globally scope to super user only. But the point being
is, that's what that is. And then proprietary is an
interesting idea, which is this, there are, it's essentially a
modification of global. But what it does is it makes the context
available, but doesn't give the details of what's in it. And the
reason for that is it's like IP protection. So if you give, let
me, like, an example would be LeaderForge, InnerCircle, all
the training materials that Dion has got, let's say, as part of
InnerCircle, those need to, you want to have that as a context
that you can use inside of your workspace. But the IP itself is
very sensitive, you don't want people cutting and pasting all
that IP, and then reusing. So proprietary will stop this from
being cloned. And it would hide the content of that particular
prompt, but still make it available. So that's a little
more of a future thing. We haven't spent too much time on
that one. But that's the idea of what proprietary will do.
Yeah, I mean, to me that kind of is the heart of this whole idea
in some regard is that, you know, man, I see this thing in
many ways as SOPs on steroids, right? With, you know, and the
ability to actually engage with the knowledge and context
specific results in that proprietary context, you know,
allows you to, it's like, you know, what would a general
contractor think about this? Or how would they answer it? I mean,
that opens a whole lot of possibilities. Love it.
That's right. So yeah, it's exactly right. So okay, let's
save this one. So now we've added a new Ben Hobbs profile.
Let's go back to Launchpad. Now here's this last one that we ran
that didn't have any context of who I was. Ben Hobbs profile is
turned on. Now say, now it should be able to pick up that
and there you go contextual approach NDA. What's it doing
now? There you go. So it started to insert all the contact
information now. But now I noticed that it's adding all
sorts of things about kingdom and things into that. So that's
a good example of why maybe you put your contact block only for
contact information and put other contexts, you know, so
this is a great example of, you don't want your NDA filled with
your personal opinions about the Lord in your NDA. So what we do
is we go back and update that one with just the contact
information. And then redo it again, you know, I won't do it,
you get the idea. You can start to see how it can start picking
up the context and you dial the context in and this is why it's
so important to be able to turn off different elements of the
context. So for example, if we are doing a legal document, I
might want my contact to contact details, but not my overall
profile. So now I can start to break my context app into blocks
of managed blocks and turn on and off which ones should be
making sense so far.
You can see very quickly guys that that what happens very
quickly when you start just managing prompts and contexts
that your your thinking changes, you know, what happens is you're
thinking about your thinking changes, metacognition changes,
because you're now thinking about right there, do I have to
have a legal or more business process?
profile versus my general profile versus my personal spiritual passions versus my own
personal theology.
I've suddenly come up with four contexts and all those personal, well, yeah, they personal,
but maybe we have an SOP for our team.
That's the context that no one has to keep typing, right?
So we don't have to type when we send out an invoice.
We do this, we do this, create the invoice, but here's the context.
So now we can set it up.
Well, Glenn's going to show us more refinements here in a second, because we're just trying
to introduce you to the basic idea of you've got launchpad, you've got prompts, you've
got context.
And I've been using this, by the way, for the last month.
And I can take a second and show some of my context and prompts and things I've done.
But for instance, I'm running a new elective for our school right now on church governance.
And, you know, for me, it's four generations of learning there.
So the contexts are, here is everything, you know, the 52 books my spiritual dad wrote.
And here is an entire previous course on each of these contexts.
And then I run them and I go, no, hang on, that's way too much David stuff and not enough
my stuff, or it's too much Graham stuff.
And so just like the NDA got all, you know, personal and started quoting scripture in
the middle of the NDA, you know, so you learn very, very quickly how to leverage this.
But the good news is you only do it once.
And you can do it for our team, or you can do it for a whole organization.
That's right.
So now I've just rerun it.
But you see, I didn't say use my contact info.
So now I'm going to say, I'm going to have to pick up the pace here a little bit, we
could, but anyway, you get the idea.
So there you go, prepared by Glenn Hobbs.
Now you can see prepared by now you can see all the primary contact.
So it's just populated everything into the document, all good to go.
All right, next thing I want to share and talk about is then the models.
So in the platform are north of 350 models that we have available.
Now, depending on which tier you go with, if you go with the free tier, we only include
three, and we careful to only select the models that are free or almost free, because we obviously
pay still a few fractions of a penny, you know, processing charges, and we don't want
to, you know, start giving away giving away the farm.
But when you go to pro, it's, I don't know, 15 models, whatever we've we've set.
And then you go to pro plus, it's all of them, all 350 models.
So in this particular case, you see, I selected Haiku, that's why it was constantly just using
that particular model.
Now, I've only enabled four, we'll go and see how we can turn on a whole lot more.
What you can do is you can start the ones that you like.
So if I like and say, you know what, I like that one.
And I like this one, you can actually start to filter because particularly when you start
getting to 300 models in the list, just, it's much easier just to say, I just want to see
my favorites, you know.
So that's helpful.
But here's the thing I want to highlight is we have an auto mode.
Auto mode basically will pre-select the model for you, which is going to be the optimum
model.
The way that it works, and we'll go back and we'll look at this in a second, is for every
one of those prompts that we put in, we can actually assign what the recommended model
is for that particular prompt.
So if you rerun that prompt, and we'll do this in a second, auto will say, oh, okay,
this prompt says you should use GPT 4.0 or whatever we've assigned, and it will use that
model.
So this is going back to a comment Dion made earlier on about optimizing, each model is
going to behave differently, depending on what you're needing it to do.
And so the ability to be able to attach the model with the prompt is a huge value unlock
for organizations.
So we'll show that in a second.
So let's just do that.
I'm going to turn auto mode on, but what I'm going to do is I'm going to go back to our
prompt templates here, go look at this Bulletproof NDA, and you'll see there's no
recommended model set.
So I'm going to edit this and go and set a, let's just see, let's go OpenAI GPT 4.0, I
think that does a fairly decent job, and now we're good to go.
Now, if I go back to this.
we're going to do the same same thing again and say okay we're going to do
same bulletproof thing over here let's just say
do the same thing start up
and tick and now we go and say launch now you see it's auto so now it's going to pick
a a model we'll see what it picked in a moment
and glenn it's fair to say that it's also not just optimizing for which is the best one but
which is the best one at the cheapest price that is correct so what will happen is the the order
if you have specified a recommended model for this prompt and that model is available in the
plan that you add because it might not be but if it is it will use the one that was specified if
not it would then auto select based on what which will produce the lowest the best response with the
lowest cost so there's an algorithm that sits behind to do that so if you're not sure which
models which just set it to auto and let it be done now in this particular case it actually went
so that's interesting so i'll need to check on that one maybe we didn't have the open ai one
turned on it's quite possible but it should override the the recommended what's that
doesn't the auto override the recommended or does auto no the the order precedent should be it will
use the recommended one if it is available in the plan that you've selected so if you know because
you wanted to abide by it if you say use this model and that model is available it should use
that model so i'll go and check and see if we didn't have the one that i picked was probably
not turned on but let me move on because we've got less than half an hour left here i think so
let's uh let's let's move forward quickly um well actually that's a good segue into the next sort of
thing um i'll talk a little bit about the admin functionality that sits behind this the admin
functionality the settings and tools that you see here is only visible to the person who is the admin
for your organization users don't see that they only see this part over here the dashboards the
prompts the context that's all they see um but if you're an admin you will now be able to go and
see those ai models so here's in in in this particular plan there are actually 28 models
that i've turned on so at a super user level i can specify which models available at which plan
on the pro plan there's 28 so you can see all of these models that are turned on and
um you can see you know which we can go and turn on different ones so i probably didn't
have the right one turned on here for which one i picked i don't know which one i picked
but you get the idea so here's how as an admin you can choose which models you want to have
available inside of your organization and this is important because they are models from other
countries you might say you know what we only want to have us-based models so we're going to filter
filter out and only make available us-based models as an example any questions on that
are you implying that chinese models might steal ip because i'd be shocked well um the truth is
i wouldn't put it past some of the u.s companies either the difference being right the difference
being is if you which we will which we provide as an enterprise capability the ability to instruct
models not to train off of their data you have legal recourse if you find that they have because
you've specifically given them instructions yeah yeah so but i would i would still i didn't mean
sorry i didn't mean to distract you no but i would still but it's a good point john i think
it's really important for people to understand that's what's happening behind the scenes people
are hungry for data to train on so they're using everything they can get their hands on
a quick couple of things i'll not waste too much time on this but under users and teams here's
where as an admin again you can go and set up teams and create a team so if you want to create
a team for finance or marketing or whatever you can create your teams and then you can go and add
members to the teams invite members and if there's there's no teams to assign but if there were you
could say invite this member invite them as a member or as an org admin or team admin so you
can have multiple org admins if you want and
then assign them to a team and send the invite.
And then what that does is just allows them seamlessly on board,
no issues, and they're off to the races.
So that's the team.
And then on the billing and usage, this is where, again, as an admin,
you have the ability to manage payment methods, et cetera, et cetera.
When what we've done for the beta team folk is that as soon as you register,
we will preload your account with credits.
So we didn't want to have to worry about having to subscribe and then
get credits and all that.
So that's what this will handle.
Now, I wanted to call an attention to something interesting here.
Again, you can see literally every single transaction, that's a penny.
For a moment, just think about what we've been doing.
And some of these fairly complicated, creating an NDA,
this one was the most expensive, was $0.10, which is very pricey, actually.
But think for a second, if you eat this pricey in AI terms,
think for a second, yeah, think about it like this.
What is your chat GPT subscription?
$20?
OK.
How many of those things would you need to run to make up
your $20 subscription?
So it's 20 divided by 0.1.
It's like 200 or more things that you would have to do.
So what it turns out is that if you look at the cost model with chat GPT
or these others, you're either significantly overpaying,
massively overpaying for what you're getting,
or if you happen to have a power user that's driving the thing,
you're going to go over that $20 and you're going to pay a fortune
in overage charges.
So what we've done in the platform is we don't do that at all.
We just charge what it is.
And you get a number of credits and you just draw down on those credits.
If you don't use, you don't lose.
You just keep those credits.
On the...
Just to be clear, Glenn, you're saying that the credits,
it's not like every year, every month it resets.
This one, you just keep using them.
So if you use them over three months or three days,
it doesn't make any difference.
It makes no difference.
And what you would want to do is just set this auto top up over here,
which we'll just take care of making sure that it auto tops up
and doesn't run out.
But the crazy thing is, even in all the testing, Dion, we've been doing,
I don't think we've got past 20 bucks, 15 bucks off the month.
It's just, it's not a lot, you know, but now the point being here is that
we don't want that monthly thing of credits expiring.
They don't.
There's a monthly subscription fee, but the credits are...
When you've got credits, they live as long as you need them to be.
So anyway.
All right, let's move on.
Quickly, I want to get to a few more things here.
Dashboards, so again, back to full visibility.
We've got personal dashboards, so you can track how many conversations
you've had in the last 30 days, tokens, monthly usage,
and what the model is the most commonly used.
You can see the ones that we've just been running right now.
Sonnet, Haiku, Haiku, these are the ones we've been doing.
It's full transparency at the organization level,
similar type of thing where you can see it across the organization.
One of the things we are wanting to do here is add a little bit of gamification
and sort of leaderboard type things.
You can see who in the organization are really the power users,
and you can maybe do some things around that.
Love your feedback on what would help with adoption.
But the point being is that this is a way that you can actually see
across the organization who's doing what and how it's working.
Any questions, comments on that?
All right.
Let's go down to the next thing I want to highlight is this little button
down in the bottom right here, which is the send feedback.
So it's really super helpful to us to just know what your experience is
as you're going along here.
If it's a bug report or a feature request, any improvement,
any general feedback, anything like that, it's a very simple little form.
Just give us the information.
Automatically, it would share the contact in terms of what your browser is
and your information so I know exactly who that is.
And then what we can do is we can look at that,
and we can see if there's a bug or if there's a feature that we need to fix.
what will happen is it'll appear in my sort of notifications
bell at the top here that I've got a new message.
And I can then, once I've solved that,
whatever that issue is, I can send you a note back
and you'll see it in your bell saying,
there you go, sorted, or here's the feedback,
or here's what the issue is.
So we've got a means of actually engaging
in a bit of a conversation behind the scenes.
All right.
I've been sending Glenn all those,
and it's so cool to go to the notifications.
That's done, that's done, that's done.
It's like a personal request,
support and getting immediate feedback.
Oh, we nice to have this.
Like, wouldn't it be great if we had a list view
and not just card view,
because I got so many prompts going.
So anyway, that is really helpful.
And so we want to be super responsive to you
so you can see your ideas, thoughts, bugs,
dealt with in real time.
Yeah.
Do you want to talk to us a little, Glenn,
about the whole beta testing period and everything else?
Let me do one more quick, fast little thing,
and then we'll switch to the beta testing.
There's a few more things we can touch,
more advanced topics,
but we can talk about those at some other point.
I didn't want to just touch variables.
I think I've mentioned to that,
but I want to quickly just share,
go to the prompt over here.
Let's just pull this one quickly.
I wanted to just highlight, edit over here.
What you can see is, let's go down here.
The way that you can put a variable,
easiest way to do this is actually just to create
a quick little prompt.
I wanted to show you,
if I wanted to create my prompt,
and all you do is you put in open curly brackets twice,
prompt title,
and little pipe,
and then you could say example one, example two,
those are the curly brace, and that's it.
Now, when I run that prompt,
if I just save that prompt,
and I go and have a look at Launchpad,
and I just open up my prompts over here,
and here's my test one,
it'll show you the one variable,
there's my prompt title,
and example one,
example two.
So that's how simple it is to add variables
into your prompt.
So where I've used that is,
hey, that prompt that took me a year at Brilliant
to sort out on how to translate Old Covenant,
Old Testament scriptures into a new creation,
new covenant language.
When I got it together,
I needed to know the topic,
what translation you wanted to use,
NIV, whatever,
and it put that in there.
And so you just create those,
and so anyone who's using it now just writes,
I wanna know about topic,
and then how many verses do you want?
So it asks for how many verses,
what translation,
and what's the topic got?
And we're gonna find 10 Old Covenant things,
do everything in NIV,
or whatever your preferred thing is,
come back, list it out,
and translate it using Brilliant's language.
That was a short prompt,
it was like 10 lines long.
But man, adding those variables,
I mean, everybody can use it for everything.
Yeah, yeah, super powerful.
Quick thing, and then I'll switch back
and talk about next steps.
But I wanted to also just highlight something new
that we're just putting in,
which is around the affiliate,
building mechanism for affiliate program.
So if you go up to your contact,
there'll be this thing called affiliate program.
And you can say,
I want my code to be Glenn Hobbs.
And you could say, okay, create my affiliate.
And now I've got a affiliate dashboard
set up for my affiliate.
And I can start sharing and tracking my affiliates.
So we can talk more about this later.
But this is, you know, Vanessa,
this is large part inspired
by some of the challenges we've had with flight
and all of this type of stuff.
And so I've been thinking about
what might it look like
if we could build something ourselves?
So I thought, well, let me try from Comfort,
see how it might work out.
And I started building, you know, this,
and it actually is working quite well.
It's working on the referrals.
All of that is working right now.
We still need to cook up the payouts,
which I found out actually Stripe
allows you to handle the payouts.
So we can handle all of that.
And you've got now a whole bit dashboard
to check in your recent commissions.
Also, what I've got is resources in here.
So some pretty cool things,
like if you want to start a kit
for some marketing materials,
like if you want to,
let's just pick one here,
like this AI is just family on steroids one.
So here's a series of tweets,
you know, that you could use
and tailor to your liking.
King. But he has a very cool, you know, think about it, best
prompts to supply after use and organizational learning,
interaction starts from zero, no competitive advantage
accumulation. So it's a nice little tweet thing. And so
there's a whole series of these, which could help a lot with
just sort of starting to share the story. So there we go, I'll
stop sharing on this one, any questions on that, and then we
can switch back to just wrapping up on next steps.
Yeah, do you have?
One thing I think that would be really helpful is I'm just
thinking with adoption and people adopting this, and
obviously, it's, it's going to be evolving, you know. And
that's, that's kind of the part of the challenge and the
struggle it feels like is everything is so fluid, and
it's moving so fast. And, you know, but with, I'm just some
of the platforms that we use the softwares for different things,
they have like a little knowledge base, you know, you
got some basic, yeah, little tutorial things, those would be
super to actually,
actually, let me share that I didn't go there. But the answer
is yes. Let me quickly just share so you can see. Let's go
back here. I think it's this one. Can you see the page is the
help center over here with quick start guide, enterprise
government, governance, and then a number of resources and
learning. And so and so the idea is to start seeding this, this
is this is still very light, it still needs a lot more work to
see that. But it's exactly that Jeremy is to really create a set
of artifacts that would help you in the adoption of helping to
communicate the story. So, you know, it's one thing when you
hear me talk about it, but how do you have the message in an
encapsulated format, you can take it very easily to someone
else. And, and by the way, on that list, that's actually a
great pivot to the next thing that we wanted to talk about,
which is over the next 30 days on the beta during this beta
test period, let me let me switch back to the slides of a
slide or two on that. Let's go over here. And I have to put
this into play mode. Otherwise, it doesn't work. Okay. So just
from an onboarding, what, you know, go to mypromptforge.com.
If you go there right now, you'll see a landing page, if
you haven't already seen it, it's got a lot of that
messaging that I've shared at the top end of the call. It's
got a link to that podcast, a lot of the slides, it's all
there. Pick a plan. And start, start, start playing with it,
start using it started getting, you know, getting your hands on
it and and providing the feedback. I mentioned free
credits, we'll load it up with free credits, you don't have to
worry about that. And then we'll also run a weekly discovery
call. I actually think I put it on the next. Yeah. Next page.
Yeah. Basically, I was gonna say as your role as an admin,
what what would you need to do one is obviously register and
select a plan, but then manage your AI models go as I showed,
just go and decide which ones you want to have available to
your team, from the list that you have access to invite your
users set up the teams, manage the payment subscriptions, and
then the you know, drive adoption and organization. I
think that's really the conversation is the next sort
of step. And what you and I were thinking about with that is, I
think that's where we can help each other in that respect.
Because I think the next sort of frontier, if you will, it's not
the platform itself, it's now going to be the adoption of the
platform you use within an organization. And so starting to
understand what the points of friction are, what are the what
you need in order for this to, to really help you be able to
connect this into your organization and make it work.
And Deon and I have a long list of possible things. For example,
maybe it could be well, in a journey, you asked for some sort
of messaging, some sort of package story that you can share
in a very digestible fashion. And we'll certainly make sure
that that we provide that that's vital. We'll have that there.
That's super important. But maybe there are other things
that could be helpful. For example, you know, certainly my
experience from consulting, one of the things we always did for
clients is we do some sort of baseline assessment that helped
create visibility to the reality in the organization, here's,
here's what's happening, here's who's doing what, here's what's
going on, so that we could bring bring up shine a light, if you
will, onto the reality of what's going on. And that also can
baseline to help understand, okay, from
From here, how have we moved organization forwards?
And so I think that can be something,
it's in our thinking to work to kind of create
something like that,
if that's going to be meaningful or helpful.
But the key point is,
is that we're going to have a beta support call
every Wednesday from one to 1.30.
And the nature of that call
would be to help answer these questions,
because once you start getting in,
I mean, I've covered so much ground,
it's going to be hard to remember everything.
You know, you'll get a recording,
but it might be easier just to get on a call and say,
hey, I'm struggling with this, or how do I do that?
Or whatever the case may be.
But it can also be that in,
we'd love to use that as a time
to kind of get that feedback to say,
okay, here's the thing that we need
in order to help drive better adoption
inside of the organization
and start that conversation going.
So we know what we need to work on
to really, you know, get it to connect well for you.
So that's the story.
So you definitely hit the questions I was thinking.
I mean, great job.
I, you know, adoption, how you onboard it,
how you introduce it.
How do we continue to be a construction company
and not an AI development company
inside of a construction company
as, you know, employees get these fun tools,
if that makes sense.
So I think that'll be a key thing for me,
how to encourage adoption
yet not go down the rabbit hole
and spend five hours a day, you know,
creating context, if that makes sense.
100%.
And, you know, use the phrase right at the top of the call,
Ben, about use cases,
I think was the phrase you used.
I think it's a great way to think about it.
It's like, okay, what are those use cases
for your organization?
And that'd be something we'd be very happy
to partner with you to work on
and have that conversation,
say, you know, as you have those questions,
because you did correctly.
So your business is construction.
You don't want to have people sort of sidetracked off now,
going, chasing this next new shiny object.
You want this thing to empower your business
in a meaningful way without distracting.
And so Dion and I would love to have that conversation
with you to kick that around a little bit,
figure out, okay, how do we help you do this
in a way that's, you know, not depletive,
but accretive to your business?
And I would argue that they're probably doing it now.
They are some, I mean, we're sharing.
The shadow version.
But I think once we have transparency and it's managed,
so we've got step one is we've got to move
out of the shadows into the managed.
Step two then is we got to show,
let them discover the power in steps.
Yeah.
We just blew out everything for you to see everything,
but they don't need to stop there.
They can just start, here's a launch,
write your things, done.
Oh, do you know that you can make these prompts permanent?
Do you know that there's a thousand prompts
you can choose from?
You don't have to write them.
Okay, so maybe that's where we start.
We can add context over time,
but when we're demonstrating to you as business owners,
the full context of everything,
we're trying to show you how you're going to manage it.
What would be useful every week?
And we only set up for half an hour,
but if it needs to go longer, we'll make it longer.
That's not the problem.
And you can bring whoever you like to those calls.
It's not any so-called people.
It's just bring your team, bring your whole team,
if you like.
The issue would be how do we get them mobile and productive,
but in a way that you can manage.
And I think this is the first time
we're going to bring it out of the shadows.
Second thing, we want to discover where the value is.
And that's where you'll start having conversations,
I think, like we've been having at Brilliant.
Hey, why are we all generating the same context?
We don't all have to describe what Brilliant does.
We don't all have to describe Brilliant's products.
We don't all have,
and we don't need to have all that information all the time.
So we need to break those up into smaller contexts.
And then what's actually useful?
Because you might create a context
and find it actually makes no difference to the output.
It's just worthless.
So we can delete that.
So I think what we're going to do is over a period of time,
hone in on where the value is.
And I think that's where we had to start with honesty
at the front end of, we don't know where the value is,
but at least let's get it in the light.
Let's start the journey.
But I think what you'll see immediately,
and we try to set the subscription separate
from the tokens thing,
so that there was an immediate 40 to 60% savings
off the bat, because you don't need a high-end tool.
You know, I'm a super grok user.
I have the highest on all of them,
and I have four of them, and I use them.
probably spend hundreds of dollars,
maybe several hundred dollars,
if I could just control all that
and have control over the costs.
So I think we also want to go into cost management.
And now it's a predictable amount of money each month.
And you can see who's using it before you couldn't.
So I think knowing what will be great is,
I think some making heroes of the story,
using our edge training, leader forge training,
like, hey man, this person did this,
cracked the code, did that, saved us.
Whoa, you know, whatever.
So I think we want to board,
I'm excited that we get to give this
to kingdom people first.
And I'm excited that, in a circle.
So we're gonna figure it out with you.
Short answer.
So we don't know entirely,
but we're starting the journey.
So if you want to come with us,
Glen, what do we have to do to get people connected?
Simply go to mypromforge.com
and you can just register there.
No issues, very straightforward.
Just get on board and start using it.
And the bottom point there,
Hypercare will be right there with you all the way along.
Feel free, you have my cell phone number,
feel free to text me if you have any issue,
more than happy to help and get going.
So that of course will only be this month
with us beta group.
I'm not gonna share that with the world,
but for us, I just want to, you know,
just really help get you going.
So nothing more than go to mypromforge.com,
pick the plan.
And start using it and please share the feedback.
And then we've got the Wednesday calls.
We'll have that invite sent out
and we'll be looking forward to the conversation with you
and learning how it goes.
At the end, you know, obviously for Dionne and I,
it's really vital that we start getting stories
of the success and be able to start sort of capturing that
and working with you to achieve that.
Your stories are very valuable to us too.
Let's do a quick round robin,
give everyone a chance just to say feedback.
Jim, do you want to kick it off?
You're a big user of AI.
Yeah, yeah, my head's just kind of spinning,
you know, looking at it.
I think what was really helpful was to see an example.
I wasn't aware that there was like 1,000 prompts
that could be used.
I think it was really helpful to know that,
you know, the last I heard was that 275 page prompt.
And so I was feeling a little overwhelmed,
I'm like, oh my gosh, it's gonna take us forever.
So yeah, yeah, this is helpful.
It's helpful to see it play out.
I mean, I can see how it'd be helpful.
I've just seen firsthand how the better prompt,
the better answer you get.
And yeah, and I've had that where I'm going back
and searching for that prompt, where did I have that?
And, you know, I have no idea where it is.
So yeah, it's super cool.
Thanks, thanks for this, this is good.
I'm thrilled you're on and it's great, Jeremy.
Yep, so this is amazing, super, super ecstatic and excited.
Thank you, everybody who's been working on super timely.
We're about to do an event of this group we're in
called the Roofing and Solar Reform Alliance.
They're having their annual gathering
and the whole topic is AI and, you know,
everybody coming together and sharing
how they're using it in their company.
And they've, you know, a lot of people
are starting to do it.
And so this is, it's a little bit of the wild, wild West
though, you know what I mean?
And so this is just amazing.
So I'm really, really excited
to start getting familiar with this.
Appreciate it, Vanessa.
I love it, I've signed up already
and I can't wait to get started.
Was I the first, Glenn?
I think you are, yeah, we'll have to find some,
some surprise, you know, some prize for first.
That's so cool.
No, the prize is I get to use it.
That's good enough, thank you.
Awesome, awesome.
Jenny, then Ben, we'll wrap it.
I love that you hit the main pain points of, you know,
not capturing what you, previous prompts
and as well, the team projects.
I love the collaboration piece of it
because you have some folks who are stronger in this
and that's gonna help the others
who are not as strong benefit
from that experience and that learning.
I'm really excited to dive
and to get the team on boarded with it.
Awesome, Ben, give you the last word.
Yeah, I think you guys have been very busy.
Man, it's come a long way since we were together.
Great job.
It really looks great.
Looks like you've thought, it's well thought out.
And I'm excited to jump in and learn it.
And ultimately I think it is an answer
to a problem we've had, right?
Which is how do we across the team leverage this tool
in a way that seems not chaotic.
It pulls it out of the shadows.
So I love the visibility and transparency
in the pricing as well.
I'm interested to learn kind of the different tiers
and what makes sense.
Right now, I signed up and didn't get the magic link back.
So I don't know, I'm trying to figure that out, Ben Reid.
Okay, I'll help you with that.
If, you know, I'll sync with you offline
if you had any issue there.
Just check the spam box if, you know,
that could be an issue.
Yeah, I see.
But thank you, it looks great.
I'm excited to learn.
Thanks, everyone.
I'd like to try to keep as close
to the 90 minutes as possible.
We know you're really busy.
I know we certainly are.
We're about to launch a big event for the year
in a few hours, so yeah.
So we're excited and thanks again.
And, you know, I think a lot of this
was highly informed by our own experience
as a business at Brilliant
and, you know, learning and trying to manage this.
And we've been very active in this AI space
for well over two years with active training
and made a lot of mistakes.
So hopefully we can shortcut all of that for you,
take you straight to the bottom line
of what actually works.
And hopefully this tool will take us to a whole new level.
So, hey, if you would, please pray for us this
because we would love to see something big
come out of the kingdom, you know, stuff.
And I'd love to have a whole opportunity
to give this as an advantage to you.
So thanks so much.
Thanks for joining.
I know there was a lot of just dialogue,
you know, from us to you, not much interaction,
but there was a lot to share.
So we'll go back to normal format next month
where we actually talk.
Enjoy.
Thanks all.