It always will come back to the prompt.
However, intricate or basic the prompt engineering is in the future.
And there will be people who are in charge of making those and maintaining those.
But I think generally that will be a small-ish number of people.
And a lot of people who derive the value will be the people who are interfacing
with them via prompts of service, via forms.
Ladies and gentlemen, boys and girls, children of all ages, dogs, cats, robots
and everybody in between, especially you, those searching for a place for your
prompts to call a home, this is HTTTA, how to talk to AI.
I am your host, Weston Synthline-West.
As always in a realm governed by gigabytes where grand algorithm
valvanize our every move, there emerges a gem, a guiding light in the grander of AI.
Come to the genius of tomorrow, the genuine, the glamorous, this go to go.
Gee, how are you this week?
Hi, I am extremely happy this week.
And I have huge news, which both of us should be sharing.
So last week we talked about our Uplimit course that we closed and
the amazing feedback we received.
However, Uplimit came back to us with what?
13 pages of feedback.
It was about the most heartwarming stuff I've ever read.
So everyone that was in the course, man, you guys brought it, was so much fun.
We're going to have our next run of AI and chat GPT for everyone January 15th,
kicking off with a soon to be announced follow on course from the team here at
Synthbinds, but again, that was such a professionally rewarding thing.
Thanks to everyone that came out from our listeners, GoTo's viewers,
people who follow us.
It was such a treat.
But speaking of treat, we have one for you today.
So the second one is we have a special guest on our podcast today, Dan.
Hi, Dan Cleary.
Welcome, Dan.
Thank you for joining us.
Yeah.
Thanks for having me.
You know, I get asked a lot, like, why did you want to start your own company?
It's really hard.
It's an uphill battle, but that intro alone, I think the, is there my reason
for the next month?
So yeah, I'm happy to be here.
Cool.
Well, let me give some, our listeners a little bit more context about Dan and
what he has gone on or has accomplished in this world so far from his college
dorm at NYU to the forefront of AI here.
Dan Cleary has always had a knack for building beginning his career by
launching a software development agency.
Dan helped early stage startups with all things software.
Later on, he and his partner Dalton went on to launch their own SaaS bug
reporting tool amidst their agency work.
The tool gained traction, leading to them to a Silicon Valley accelerator pioneer.
They went on to raise funding shortly after their demo day.
And then last November, ChatGPT launched and Dan saw an opportunity that led
Dan and Dalton to launch PromptHub.us, a collaborative platform to test, iterate,
and build on top of prompts.
PromptHub is now used by hundreds of business owners, developers, and people
who are using prompts every day.
So again, Dan, welcome.
We would love for you to take us through PromptHub.us.
Absolutely.
Let's do it.
And I have a question.
How is Silicon Valley?
I would say a lot of what you hear is true.
The conversations that you overhear on the street are about server
architecture and things of that nature.
So it really does feel that way, which is a really fun place to be.
We were out there for a month and it's everybody around you is working
on something that's helpful related.
And so it's a great place to be in the early stages of a company.
Amazing.
Congratulations on that.
Thank you.
Would you like to jump right into the PromptHub or just give us a little
bit of overview of what it is and maybe why those hundreds of
organizations are using it?
Yeah, I'd love to give a quick elevator pitch of it.
And I think Wes did a really great job, but basically what we wanted to build
with PromptHub was a place to work on prompts collaboratively and use them
for whatever reason you may have.
The genesis of it was that we were building an AI feature into our bug
reporting tool, SaaS company, and the process of getting the prompt to work
well, iterating on it, testing it with data, testing it across different
models and stuff, it was all really challenging and we're left to a lot of
different manual solutions.
And so we thought, Hey, there's got to be a better way.
But since the industry, so Mason, we knew there were going to be a lot of good
tools out there and we decided to spend something up and we're like, Hey, this
is pretty useful for our use case.
So then we went to a couple other founders that we knew, ran it past them
and got some pretty good feedback.
And so we decided to kind of go all in with it.
There's a couple of different use cases because prompts are so ubiquitous,
you could be building them into your full scale product.
You could be just using them every day.
You could be using them to make your company more efficient and work at the
center of all that.
We want to help it make get from A to B faster with prompts.
And then whatever you want to do with them, you always have a place where
you can come back and work on them or deploy them.
And that's how we see ourselves in the ecosystem.
I think the first time I cried it and immediately reminded me of GitHub in the
sense that it functions like a collaborative tool where you still have the
initial prompt that is pushed or posted.
And then you can iterate every little bit of changes or certain changes or
rewind the tape a little bit.
I found that as a very, very inventive way, definitely better than a bunch of
TXT files or a spreadsheet.
I just wanted to say that because I made a video and I don't know if you've seen
that I implemented API of GPD 3.5 into Google Sheets.
And the primary use for me was to test prompts, you know, just like drag and drop,
play with variables.
And now I have prompt hub in front of me and I'm like, yeah, this is way
smoother, way smarter solution.
Yeah.
And I wish we caught you then.
But yeah, that's definitely the main use case and our initial kind of saying out
of the gate was, yeah, we want it to be like GitHub for prompts.
And so the versioning and collaboration was really at the core of what we were
going to do because yeah, we found testing was particularly difficult.
Even just trying to compare outputs side by side is kind of impossible in any of
the current playgrounds.
And so we wanted to make that that easy so you could really kind of tweak
whatever you want, be really meticulous about that.
And that was a big thing for us out of the gate.
Fantastic.
I found that I've tried probably half a dozen or dozen prompt IDEs and for our
listeners and viewers and IDE is a software term, meaning integrated
development environment.
So there's plenty of these, if you search for prompt IDE, there's dozens of
little pop-ups, but they inherently are very technical.
Or at least they put a very technical, they're looking at, they're presenting
themselves through this very technical lens.
What I thought immediately was appealing about prompt hub is even if you have no
idea what GitHub is, but you're creating prompts, you're collaborating on prompts,
it was very, very approachable.
So that was immediately appreciated too.
Yeah.
And I think that's a really good point.
And it's actually something we wanted to focus on too, because we think with
Chatchi BD, with these AI models coming out, the amount of people who can build
something is going to be continued to increase.
You don't need to be a developer anymore.
And so we want to focus on that, that segment that is going to be a good
segment, a growing segment.
And so a user-friendly product was really big out of the gate.
How about we go to prompt hub.us?
Yes.
I just want to make it clear.
And that's the direction you should go.
And just, if you could just walk us through the whole interface and options
and features.
Cool.
And for listeners, under the episode, you will find the link where you can
actually enjoy this episode in a video format.
Dan, if I could ask you, if you can just use as much descriptive language as
possible for the listeners of the podcast.
Yeah, absolutely.
Yeah.
Like I've kind of mentioned, prompt hub is a home for your prompts.
And so you can see all of my prompts kind of laid out in different tiles here.
And this is from all of my team and they range from content creation to different
types of changing the shape of different formats, some stuff we built for clients
back in the day.
So everything that we use in our business in some way or another is listed in here.
And so I'm going to click on one of those.
Let's see.
We'll go to our LinkedIn one is a good one.
So we write and post a lot of content on our blog.
And so whenever we do that, we'll end up posting a LinkedIn post as well.
And so I created a little prompt basically to help with that process.
But so when you click on a prompt and you come into the testing page, you all
have access to the system message and the prop, which is gives you an extra boost
in terms of getting the model to do what you want, I would say a little bit more.
And then you have access to all the parameters as well that come along with
the different Oakland AI models that are available.
So for listeners system message in this case, as a reference would be, you know,
what more people know now is custom instructions on charge BT.
Exactly.
Yes.
You know, so I can come in here and I've written a prompt to help with this
LinkedIn creation LinkedIn post creation, and you'll see if you're watching this,
I have a couple of blue pieces of text in here.
These are just variables and these allow me to plug in different things into
the prompt and easily use it.
So I can use the same prompt as the content of the article changes that we
write every single week.
I just fill in the variables here.
I replace the content with whatever article that we've written and then I
can run the prompt.
And so it helps to keep it a little bit more clean rather than seeing really
big pieces of text kind of floating around.
And so what Wes, what I was kind of mentioning before and piggyback off
what Gota said, we, what we really wanted to make was the process of iterating
testing prompt slot easier.
And so with every test you run, you're comparing your last output in red to
your new output in green.
And so a classic flow is to come in, write a prompt, tweak it a little bit,
and then commit the changes.
You know, maybe you updated the temperature, maybe you added a different
example, maybe you tried out a different method that you've been using.
Maybe you tried out a different method that you picked up from the Uplimit
course, whatever it might be.
Then you can just make a note.
This is the GitHub inspired aspect of it.
You get a nice kind of version history that you can always fall back to.
So again, for our listeners, you have this, the system message block, which
again is the person that the text behind the curtain that's pulling the
levers, you have your input.
You have elegant ways to make the prompt reusable with variables pop up screen.
And then on the right hand side, you get all the little levers.
That's something you don't get when you're using ChatGPT.
You only use the Playground or some of these other tools.
You can adjust your tokens, your temperature, top B, presence,
frequency, penalty, and change your model.
You want to tell us about some of the models that you have integrated right now?
Yeah, so right now we offer access to all the OpenAI models.
In the near future, hopefully within the next 10 days or so, we'll be integrating
Anthropics models.
So you can do these really cool side-by-side tests between the providers.
Because even as great as OpenAI is, sometimes a different model is going to be better.
Just for context window reasons or for performance reasons for specific tasks.
It's good to explore that.
So we'll be offering that for our users soon.
And even seeing what model does the best for the job at hand, comparing it one to the other.
That's great.
Yeah. Yeah, exactly.
GPT-4 is considerably more expensive and it's great.
But if you're doing a basic classification test, you might not need it.
Yeah, I've been testing Open Interpreter and running on GPT-4, two days, 20 bucks.
And I was like, maybe for organizing my files, I don't need four.
I just wanted to go and test with the best of the best.
Then we also, what we are seeing now, this window, what we are looking is under the test.
But there is reports, feedback and forms.
Could you walk us through that?
Yeah, I'll jump over to the form.
It's our newest, I would say most powerful feature yet.
And so what this allows you to do is turn your prompt into a form.
So what does that mean?
It makes it accessible to anybody on your team to run that prompt just from a link.
And so I clicked on the form tab now and I've come over.
I can add some instructions.
I can do some customizations here.
And basically I'm previewing what is a form for this LinkedIn post generator.
And so now my team can come in and they can just input the content for whatever post they
want to be created.
And then they'll be able to generate a LinkedIn post using the prompt that I slave nights
and weekends over.
And so it's a really easy way to distribute the value of whatever type of prompt you're
writing to people on your team, anybody that you want to make available to it.
Lead magnets, there's the use cases for forms are really kind of up to your imagination.
So forms essentially functions as prompts as a service.
Would you kind of classify it as that?
Yeah, definitely.
It's the easiest way to deploy a prompt.
And yeah, prompts is a service.
I think it's something we already see and we're going to continue to see more and more
I'd be curious to hear, I mean, obviously just by virtue of you having this feature
inside of Prompt Hub, it must be something that you guys are thinking about and talking
about on the regular as the way the market is kind of heading.
Our most viral prompt, Professor Synapse, that's been viewed over a hundred thousand
times and used and shared, ostensibly does the same thing.
It takes the need for you to be a prompt engineer out of the equation and just ask you questions
about what you're trying to do.
Do you think the future is prompt less, so to speak?
And when this does hit the masses, they're going to be interfacing with prompts as a
service because someone like us set up the site to generate their resume cover letter
or their LinkedIn post?
Yeah, I think so.
I think it always will come back to the prompt.
However intricate or basic the prompt engineering is in the future, but it will always come
back to that.
And there will be people who are in charge of making those and maintaining those and
making sure they're great, you know, like following logs, make sure there's no malicious
behavior.
But I think generally that will be a small-ish number of people.
And a lot of people who derive the value will be the people who are interfacing with them
via prompts as a service, via forms, via things of that nature.
I resonate with sentiments so much.
I had a business call and basically one of the partners was like, oh, I watched your
video, Professor Synapse.
So that's it.
Prompt engineering is dead.
And I was like, yeah, but I'm not sure if I'm going to be able to do that.
But someone had to create, you know, Professor Synapse.
So this person, that person's value just grew incredibly.
And then, Wes, you also shared this research that just came out about productivity and
efficiency and they measured people who actually know how to use AI.
And basically results probably did not surprise anyone, but that becomes your kind of super
employees.
So if you have a team member who can actually develop prompts, I'm thinking, let's say
marketing, develop prompts, distribute it to the team and then reiterate based on
campaign.
This was some research done by the Boston Consulting Group and they published a paper
about it, but no surprise.
They measured productivity and efficiency and completion across 18 different tasks for
hundreds of different people.
And, you know, I think it's almost finished 12% more completed tasks, 25% faster,
produce 40% higher results when they're able to leverage AI tools.
Thesis maintains there's nothing more powerful than an expert human equipped with some AI
who knows how to use it.
Yeah, I totally agree.
You still need to know how to use the underlying tools.
In the same way that software development has gotten easier in us, we moved away from
machine code all the way to what we have today.
You still need to have an understanding.
You still need to be able to know the tooling will work.
And so, yeah, those numbers definitely don't surprise me.
It's something we hear a lot talking to people, talking to business owners especially.
Everyone's trying to figure out what to do with AI.
And there's always a few people in the company that are chat-chickity power users and know
how to use this stuff.
But a lot are still kind of lacking or still learning just because it's so new.
And so, the ability to distribute that kind of knowledge and value across the company,
I think, is going to be really big, especially in the near future.
So the 1% who's going to be creating prompts and everyone else who is going to need to
know how to use it properly.
Exactly.
In the same way that I could build a dashboard to look at all of our back-end data and share
that with my marketing team so that they could have up-to-date data.
They don't need to know how to build this stuff, but they benefit from having those
tools and infrastructure in place.
There'll be a point here too where a lot of these things are just optimized away for us.
Even if you don't know how to use these things extra well, there'll be enough data that
kind of goes, okay, I think they're asking about this.
Give them what they want, which is both good and bad.
So one thing I would love to touch on too, I encourage folks, even if they don't have
a direct need for a place for their prompts, their lonely prompts stored in some Google
seat somewhere or your downloads folder in a TXT file, zipped away, never to be looked
at again.
Even if they don't have a need for those prompts to find a home, Dan and his team put out some
excellent content on their blog about every week or two.
I point people there all the time for some of your beginner's guides, breaking down how
you talk about temperature and top P, some of those settings.
I really encourage folks to check that out.
Is there any one of these posts that has gotten the best reception or are you excited about
something that you're working on right now?
Yeah, I think our most, the one that's got the best reception is the multi-persona prompting
one, which I think is just very interesting to think about because I think it may be
mimics how you would expect humans to come to a good answer.
And so for some quick context, multi-persona prompting basically is when you tell a model,
hey, get a group of people together to solve the problem.
And then they, the model kind of leads this brainstorming session and it's really cool.
You can watch it happen.
And then they collaborate and they come to a final answer.
And that one's definitely gotten a lot of reception.
We just launched a new one on based on a research article from DeepMind about LLMs for optimizing
prompts that I thought was really interesting.
So that was the last one that came out.
I saw it, the one where AIs optimize themselves and the winning one is take a deep breath.
Yeah, that's this one.
It was like laughing.
Yeah.
The interesting part about that too is if you scroll down, Wes, is actually that I have
the graph in here, but that take a deep breath part is related to, yeah, there it is.
It's related to the Palm model.
But if you look at the best top instruction for GPT-4, it's now five sentences or five
lines there.
And so the difference in terms of what the top instruction was for each model, it was
a huge variance, which is like a kind of a head scratcher, but another just like really
interesting intricacy across different models even.
So this again just proves the value of Promo Hub, what you showed then once you add different
models, you will be able to see what is valid put and how it differs.
Exactly.
Yeah.
And I think that's going to be really huge and really fun to mess around with.
So this blog basically lives and breathes on Promo Hub.
Yes.
Like we said, I encourage people to check this out.
I think that's very funny, but if you think about it too, if you're looking for the best
response, I'm sure at some point to get those responses, there's enough cross pathways in
that neural network that goes, all right, well, the people that are producing the best
responses are relaxed and we've relaxed them.
Or there's something, and it's just so much a reflection of a perfect articulation of how
these models are a reflection of us, who we are as humans, because that is inherently
a very human statement to yield a top construction outcome.
You've been around this kind of world for a while.
I mean, you still had two other companies, you've done the Silicon Valley thing.
I would love to get your perspective or your advice for people that maybe have a good idea
that they don't know where to begin, or maybe they do know where to begin, but they don't
know how to get to that next step.
Can you share a little bit of your perspective on that?
I think the biggest thing is that there's always like a million reasons to not do something.
And so to always just jump into it, because the worst case scenario is nobody cares.
Nobody uses like you're saying, or like nobody goes too long.
Watches your videos?
No one watches your videos.
I'm sure you probably made a million in the beginning where the views were in the 10
digits or something small, but you got to start somewhere.
I think people a lot of times maybe spin their wheels on like the perfect idea or I need
the perfect team or I need to raise money first.
And it's like, you don't need to do any of that stuff.
The only thing you need is a product and hopefully some users.
But a product with no users is actually maybe even more valuable because then you know,
you should work on something else.
Especially in AI these days, you need a seven page white paper.
That's good for about 75 mil.
Yeah, exactly.
Not pointing fingers anywhere, Wes.
Right.
No.
Just bring it up.
That's the thing.
It's so funny that now there's so much interest in that.
That hopefully is not a bubble in some ways, but I'm sure a lot of people are going to
lose a lot of money because they're just going, okay, you said GPT, I'm in.
Now here's a hundred million dollar check.
Yeah, it is.
The fundraising landscape is certainly, you know, it's coming off a weird period where
there was a kind of a bubble before this and then there's this new platform shift.
And so the coalescing of the two has been really interesting to watch and I think will
be for the next couple of years going forward.
But yeah, I don't know.
It's fun to watch.
With your other two products, Tether and Modus, they both have a different kind of use.
Was raising money for those or launching those?
How were those inherently different from Prompt Hub's origin, so to speak?
So Modus was the agency.
So Modus was, we did client work.
We would help mostly early stage companies and we built a lot of different things.
And so it was through our work at Modus and our goal was always eventually to do our own
product as much as we loved having clients.
We wanted to try our own route at things.
And so we then started to work on Tether from there to make bug reporting easier for our
clients.
And then, oh, again, and that was solving a problem that we ran into, which is what we
also did with Prompt Hub, which is another piece of advice I would say is that if you
want to try and start something, but you like, maybe don't have an idea, just look for whatever
annoys you the most and that's like a good place for inspiration.
Yeah, Tether came from a problem we had to help our clients and then people started to
like that.
And then we kind of dope-head first once we got into the accelerator that allowed us to
go in, drop our clients that we're currently working with and dive in with Tether.
And then eventually that led us to Prompt Hub.
Are you guys actively out there kind of seeking funding?
Are you looking for investors?
I know we have a great list of onboarders, a waiting list that will share an exciting
code that Dan has set up for our listeners and viewers to get a little earlier access
to Prompt Hub.
But what's kind of in the three to six month roadmap for Prompt Hub?
What are you hoping to achieve?
Yes, I mean, on the fundraising front, we aren't raising right now.
We may in later on in the year.
But right now we're currently just heads down in the product.
And looking forward, adding different models, making the testing suite a little bit more
built out is something we're focusing on.
And then what we really want to do is we want to make it easier to deploy prompts.
And so the kind of prompts is a service model, which we have in its current form.
But we want to make it more easier to access, have a really developed API that people can
integrate stuff into whatever type of workflow that they may have.
Because the thing with AI and people trying to leverage it is every situation is a little
bit different.
And so we need to be a really malleable solution.
And so we'll be really pushing on that so that we can integrate us anywhere, however
you want.
I totally could see, for example, what you shared with LinkedIn post generator, like
maybe marketing package where it integrates the buffer or distribution thing that you
generate a prompt and you can immediately schedule that on your social media.
It doesn't need to that you develop scheduling.
It can be just plug and play with some of the platforms.
I think we may need to make that com integration is what I'm reading from that.
Yes, make.com.
Yeah, let's go to the new spot set.
Yeah, I don't think I should be announcing it before I make a video.
Oh, we'll do this in a couple of weeks.
Now I need to run make video, but yeah, make.com.
We partnered.
I'm very excited to show some of the things that our team built.
And I'm looking to plug some integrations for myself and the whole social media building
brand is constantly running in my head.
And I know that it's full time job.
So I'm just looking how to make it way smarter and smoother and run it with AI.
So I actually use things that I talk about at full scope and scale.
Yeah, no, that sounds like a great use case.
I mean, yeah, we have a bunch of people who were using make.
Obviously the comp is safe here, but it seems like it's growing a lot more, at least in
my circles.
So that's really great.
Congrats on that.
Thank you.
I don't know if it's good time and place, but as Wes asked you about what's coming in
next three months, I know that you have something exciting coming where you actually bring the
best minds in prompt engineering together, you know, to discuss all these research papers
and development.
Do you want to walk us a bit through that?
Yeah, definitely.
So in early October here, just about a month away, October 12th, I am helping co-league,
co-run a prompt engineering conference.
And the domain is promptengineering.rocks.
I'm doing it alongside a few other people and it's all, you know, not for profit and
just for people to get together to learn about different types of prompting methods, learn
about how people are using prompts in their, you know, their daily lives.
And it could be really good.
We have a bunch of really good profound speakers coming in, a professor from Oxford, some people
from Microsoft.
A lot of different use cases that it's all, it's very practical.
It's not, you don't have to learn, we're not going to be telling you what a neural network
is or anything like that.
We're kind of trying to get our hands dirty with it and show you how you can walk away
with something that's helpful for you and online free one day.
And it could be, yeah, it should be a lot of fun.
Fantastic.
I'm looking forward to that, right, Wes?
Yeah, I think so.
We may have a little bit of involvement in that process.
So stay tuned for more announcements from your friends at HTTTA about our participation
in the first annual prompt engineering conference, October 12th.
And Wes, I know that you slightly mentioned and we may be brushed through that, but this
a little gift to the listeners to try Promt Hub.
Let's dive into that.
So yes, folks can go to prompthub.us, click on the join waitlist.
And if they use the code HTTTAI, here's the VIP section, ladies and gentlemen.
We'll let you come on down to the red carpet and give Promt Hub a try.
Give Dan some feedback.
Give them a follow on LinkedIn.
I mean, even if you don't have any need, like I said, do yourself a favor, follow the blog.
Oh my gosh.
We cited your blog three times in our record setting AI and chat GPT for everyone course,
because it's just, I can't describe it better than this.
Come read Dan's blog, come watch Dan's video.
I appreciate that.
I did, there is one note on that for the access front.
I'm actually, you have to go to a different link.
So it's not the join waitlist.
Oops.
If you go, different red carpet.
Like, yeah, if you just go to our site and hit the login button and then there'll be
a sign up button beneath that.
And you know, sign up today will be what the link there says.
And you'll be able to type in that code and we all give you a direct link as well.
But that would be the fastest way to go log in and then sign up today.
Yeah.
We will include everything in description and their video newsletter.
Sign up today and their app.prompt hub.us slash log in.
You know, like if people want to try it out, could you have it?
If you're comfortable to talk about the pricing model, like how these things actually run on
your side versus the user side.
Yeah.
So great news there.
Everything's free right now.
Bring your API key and you're good to go.
We will be rolling out monetization plans in the next month or so, but there will always
be a free plan.
But as of now, everything we've talked about today from forms to batch testing,
everything's included.
You can have as many team members as you want.
And like I said, we really have a big goal with our blog and with the product is to help
educate people.
And so there will always be a free plan so you can access.
Oh yeah.
I love this.
Like we're, I sense why we're very much aligned.
In just a previous podcast with Joseph Rosenbaum, we talked exactly about this, why we gave
professors synapse on YouTube free before course starts, because to educate people and
actually give them value and to see the curiosity spark up out of that.
And when people start learning and then we have all these testimonials now that we actually
know what happens when people learn, but also apply and get value immediately at their work.
That's the most fascinating to me.
I appreciate you and your team's work trying to cut through the noise.
That's what we try to do ourselves.
I can't deal with another Forbes article that's like, he's there and chat GBT prompts will
change your life.
And it's one sentence prompt that I'm like, come on, don't just put your toe in the pool.
What it was six, eight months now.
Why don't you know it's like all the news.
Everyone knows, but it's not good stuff.
It's all one today was like five chat, JPT prompts to feel invincible at work.
I'm like, what's that even mean?
You mean you don't like being told that you have no idea how you're using chat,
GPT and that the only way is to become in the top 2% is to take this prompt sheet that I
have.
You don't, you don't like those codes.
You need Dan's top 3000 prompts for only the low price of 9.99.
Thank you so much for jumping on the pod today with us, Dan, aside from shooting over
to prompt hub that us where and checking out prompt engineering dot rocks for the upcoming
prompt engineering conference.
Where else can folks find what you got going on?
Yeah, you can connect with me on LinkedIn, Dan Cleary and we'll include a link, but yeah,
connect with me on Twitter as well.
Dan underscore Cleary, but we'll link there.
But yeah, if you have any questions about prompt engineering, any of this stuff, I would
always love to chat more.
And so those are the two places I'm most active.
And for our listeners and alumni from the course, can we ping you on the synth minds
discord?
Yeah, of course.
I'm right in there with you guys.
I'm happy and it's been great to collaborate with y'all and I go to, like you said, I think
we share a lot of values in terms of being open.
And I think your discord is a good example of Matt in all tides or tides rate, high tides
rates, all ships or whatever they're saying as it goes, as we teach people and they can
apply it more.
We all move forward.
Yeah.
Feel free to reach out and send my discord as well.
This is perfect.
No better words.
Yes, I have nothing to add.
There you go.
So for go to go, Dan Cleary, I am West Synth Mind saying happy prompting everybody.
Happy prompting everybody.
Then you can also do this.
Happy prompting everyone.
As always, you can check out the show notes and links at howtotalk2.ai.
That's all for this week's episode.
Happy prompting everyone.