Let AI Schedule Your Day BeforeSunset

In this episode of "Behind the Bots" we interview Ceylan Ersoy, co-founder of BeforeSunset AI. BeforeSunset AI is a productivity platform that uses AI to help users structure their workdays and optimize their schedules. 

Key highlights from the episode:

- Ceylan discusses her background studying psychology and human rights and how that led her into marketing/community building for startups and eventually AI
- She explains how BeforeSunset AI builds personalized daily schedules for users based on their preferences and past behavior, allocating specific times for tasks
- The platform helps remote workers set boundaries in their workday so they don't get overworked and burnt out  
- BeforeSunset AI has useful features like a focus mode, teams feed, task prioritization and bundled suggestions based on previous behavior
- The founders are working on integrating other productivity apps so tasks can auto-populate from tools like Asana and Trello
- Ceylan shares her perspective on AI innovation and regulation and using AI thoughtfully to automate repetitive tasks

Check out the full episode to learn how BeforeSunset AI aims to optimize productivity and give structure to unstructured work environments using the power of artificial intelligence.


BEFORESUNSET AI
https://www.beforesunset.ai/
https://twitter.com/BeforeSunsetAI
https://twitter.com/ceylanersoy

FRY-AI.COM

https://www.fry-ai.com/subscribe
https://twitter.com/lazukars
https://twitter.com/thefryai

PEOPLE IN THE POD:

Ceylan Ersoy - Co Managing Partner/CMO of BeforeSunset AI
Ryan Lazuka: Host and founder of www.fry-ai.com
Hunter Kallay: Writer of the www.fry-ai.com newsletter

Creators & Guests

Host

Ryan Lazuka

The lighthearted Artificial intelligence Journalist. Building the easiest to read AI Email Newsletter Daily Twitter Threads about AI

What is Behind The Bots?

Join us as we delve into the fascinating world of Artificial Intelligence (AI) by interviewing the brightest minds and exploring cutting-edge projects. From innovative ideas to groundbreaking individuals, we're here to uncover the latest developments and thought-provoking discussions in the AI space.

So I'm Jeylon, grew up in Turkey in Istanbul, moved
to the States for college, I went to UC Berkeley.

There I actually studied psychology and minors in
human rights and theater. And I always like to base

what I'm trying to get out of my career out of what I
studied in Berkeley because it kind of sounds like

an all over the place major-minor situation. But
at the same time it's a really good reflection of

what I want to build in life. And psychology I feel
is a great way to understand how society functions

and really track on the human level of things,
whether that's going to be in business, whether

that's going to be in media. I find it gave me a
really nice lens of looking into different

operations. Theater, I always loved being on
stage. I loved having a voice and microphone and an

audience. And I felt like I could reciprocate that
through different positions that I held, whether

that was like more customer facing, human facing,
whether that was being on camera for social media

projects. And then human rights, I think I share
this thing along with a lot of my fellow Gen Zers

that I really want to be a part of organizations
that deliver some sort of positive impact at a

wider scale. And I felt with human rights, I really
could connect what my learning and policy and

psychology to something that could be turning
into a positive impact in the societal level. So

that's that was my educational background. I
started working with startups during college

because in Berkeley, it was frowned upon if you
weren't in some shape or form working with

startups, whether you were an intern or working
part time, it's so close to the valley. So

everybody is like working with startups in some
shape or form. So I started working with an

accelerator actually, in my sophomore year. And
once I got dived in, I couldn't get out of it. I

started, it was it just became a constant in my
life. I've been working with startups for the past

five years, mostly in content, marketing,
community building, social media, those kinds of

operations. And that's essentially what kind of
got me into the world of AI. I was working out of an

incubator in Turkey with several startups there.
And before Sunset AI, the startup that I

co-founded was being formed out of that
community. And so they brought me on to lead the

marketing and media operations. And I'll tell a
little bit more about before Sunset and what we're

doing there in a bit, but that's how I got pulled
into the AI world as well. It was an amazing

challenge because it was all the hype when it
started when we started building before Sunset's

platform. It gave me a really good way of
researching into this new industry that was so

foreign to me. It was a very unique ecosystem to
create content for and a unique audience to be

talking towards. So it's been an exciting time
100%. Simultaneously, I was working on a media

company and I was also leading their Web3 content.
So it kind of worked hand in hand. But right now,

currently full force focused on before Sunset.
And that's me. Awesome. Very cool background.

Could you tell us a little bit about the project?
Before Sunset AI, Ryan and I have looked into it.

Very cool. Obviously, we're intrigued by it.
Could you just maybe describe what is before

Sunset AI, what's the vision behind it? 100%. So
when it was first being built out, there was a

common problem that was being experienced by a lot
of startup employees in the incubator. And that

was the fact that startup employees, people in the
entrepreneurship community have to work

proactively. That's a challenge because we're
very, as human beings, we're very, very focused on

corporate structures and setting structures for
our work lives. Corporate structures helped us

because it defined boundaries for our work days.
It was like a nine to five structure. We had set

hierarchies and our managers dictated what our
work day or work week was going to look like. So

there wasn't a lot of gaps to fill in proactively.
That does not apply at all to the startup world. And

so a lot of people were having difficulties in
navigating that proactive work life. That only

enhanced after COVID happened because of hybrid
work structures, remote work structures. So what

we were left with was a structuralist work system
where our end to the work day was never defined.

Everybody was struggling just to find that sweet
spot of when to start working, when to start

working. There was a lot of platforms we were
using, you're probably feeling very

disconnected, losing focus all the time. So out of
all those problems, we noticed that the current

tools were only accentuating the problem. We're
probably using a lot of task management tools,

scheduling tools, different kind of
communication tools like Slack or emailing. And

we're feeling very overwhelmed in how we can use
those to power up our productivity and our

approach to work. So what before Sunset is
currently doing and aiming to do in the near future

as well is we're building out the platform on two
main principles. One is personalization because

work life is very, very personal. And what works
for person A is not going to work for person B. The

second pillar is AI. AI is really an amazing tool to
help automate certain things that we are used to

doing manually. And it can help create structure
within our work life in a way that works for us. So on

the platform, when you onboard, you do a quick
onboarding where we understand what your work

life preferences are, what your work life
preferences are, and what kind of a role you

occupy. Going forward, it's also going to be
highly personalized and understanding what kind

of a company you work for, what are your macro level
goals that you're trying to achieve going forward

as a personal and as a team. Once you do the
onboarding, you onboard to the platform, you

input your main focus areas for that day, run the
AI, and the AI actually turns that into a more

actionable to-do list. It allocates specific
times for the task, does a prioritization,

recommends subtasks, recommends recurring
tasks that you were potentially working on

before. With integration, it's going to be able to
pull from different apps that you're using and

understand and do suggestions for different
to-dos that you should be working on that day. And

we have a team's future, so it's also going to be
able to pull in from what's happening in the team

space. And then once that to-do list looks good for
us, we run the AI again. And having synced with our

calendar apps, it outputs a personalized daily
schedule for you with allocated focus times for

specific tasks, bundles of similar tasks
together, does a prioritization for you. And most

importantly, make sure you finish that work day at
the time that you previously wanted to finish it,

if it's five, if it's six, if it's three p.m. So what
all of this does is it helps people navigate this

tool ecosystem and tool world and then pull in the
information that's necessary to build a work day

and work week that works for you, essentially.
That's awesome. I listened to some podcasts a

little while ago, and I think it was Timothy,
someone on Timothy Ferris's podcast, and he's

like, you basically, when you're creating tasks,
you have to create tasks and then safety create

four tasks a day, really, you're probably only
getting two done. You want to make it so you have a

lot of space in between your tasks to give you a
little break in between, otherwise you can get two

over one of the things. So is that part of the AI like
to help people perform their best on how the AI

schedules things for you? Exactly. So it's built
out on a couple of principles. First of all is if you

time block for a specific task, it's going to
maximize your percentage of actually going ahead

and doing that task and completing that task. The
second thing is, let's say I allocate a specific

time limit for whatever task I'm going to work on.
If I allocate three hours, I'm going to finish that

task in three hours. If I allocate one hour, I'm
actually going to finish that task in one hour. So a

lot of the time, we're actually not necessarily
allocating the right times for the task. And when

we don't allocate time in the first space, we're
going to kind of like get on focus, maybe dive from

task to task, and we're going to lose the actual
productive time in which we should actually be

focusing on that task. And also, if we're not
really bundling up similar tasks together, if

we're kind of managing, micromanaging, and
trying to multitask and do many things at the same

time, that's also going to get in the way of the task
completion rate. So it's based on a lot of

different principles that's mainly
psychological that really helps us use AI in a way

that can help prioritize for us, help allocate
times for us so that we actually get to the part

where we focus on the task itself. Another big
thing that you alluded to earlier is people, if

you're working from home or working remotely
somewhere, it's very hard to stop something. Like

you're always working. And it's very helpful to be
able to stop and set a time limit for yourself,

because if you don't, you get burnout really,
really quickly. And that sounds like that's baked

into your tool as well. Yes, exactly. That's
something that I was personally experiencing a

lot. I was working on multiple projects, multiple
freelance gigs. And so essentially, however much

time I want to dedicate to work in the workday, the
better it is because these are proactive work

structures, as I was alluding to before. When it's
proactive in nature, if you don't set the limits,

it's going to be however much time you invest in
it's going to be seemingly better for the project.

But we have to always remember that we're human
beings in the end of supposed to take four hours. If

we dedicate six hours to that task, it's not
necessarily going to get exponentially better,

the product that we'll end up producing. So
actually setting those time limits will open up

more room for us to start working on novel projects
for us to start like iterating on certain things

and really get the group. So it's very, very
healthy to create these kind of boundaries for

yourself. And how did you train your AI model like
to, for these tasks? What's the optimum timing and

all that stuff? How does it work under the hood? How
did you train it to make it sure that if I give you a

ton of tasks, it's going to make the most optimal
task timeline for me the next day or for that

current week? Well, our AI interface is based on
the open AI model. So a lot of the times the data is

being pulled in through open AI. So it's
basically, think of it as if chat GPT is creating

the preliminary recommendation. But what's
actually going to be changing the game is user data

that we're currently collecting right now. So as I
said, these journeys are highly, highly

personal. While the framework is going to be built
on the open AI interface, what really makes it

customized and personalized for you is how you use
the tool. So let's say in the past, I've created

this task and I finished in three hours when the AI
originally recommended that I finish it in one

hour. It's going to learn from that behavior and
it's continuously going to optimize for you. What

if you take a look, like say if you have a task that's
scheduled for two hours, but there's like you're

working out at the next day and you're like,
there's no way I can do this in two hours. So you

start working on it, you need another hour. Is that
just that just part of the learning process of your

tool? Like you'll say, oh, it actually took me
three hours. And so next time it's going to learn

about that and maybe schedule a little bit more
time for that particular task. 100% and that's a

very key component of the scheduling aspect of the
platform. It has to be dynamic. Our days are

constantly evolving, constantly changing.
Maybe I'm focusing on a task, but I get an important

call and the priority list needs to change. Maybe
as you said, I'm working out and there was a delay in

the subway and I didn't end up getting back home at
the time. It's going to, these are little things

that need to be learned through the process. So
we're trying to currently push our users to spend

as much time on the platform as possible so that we
can continuously learn from their behavior and

the platform optimizes as well. So I see that you
guys have a lot of different features like the

customizable tabs, the sub tasks and stuff like
that, the badges you can earn, things like that.

Can you tell us a little bit about these little
nuanced features of the platform? 100%. So as we

were building out the platform, this is actually a
good point to start talking about the other tools

and platforms in the market as well. We noticed a
lot of issues with the current tools and we talked

to a lot of the previous users of similar
platforms, et cetera. And what we noticed was a lot

of people end up trying to use these platforms out
of these common grievances, but don't

necessarily find a solution within these
platforms because of a couple of reasons. A lot of

these platforms roll out new features on a daily,
weekly, monthly, and there's a very steep

learning curve with all of them. A lot of them
integrate these features not tied to a concrete

solution. It's not necessarily going to help the
user get in the way of this problem, but it's

actually just in terms of maintaining a
competitive edge across the different

platforms. So in the end of the day, you really need
to make the platform as seamless experience as

possible, whether that's creating a minimalist
design, whether that's creating a very

straightforward process for user journeys, and
whether that is optimizing your product roadmap

so you don't have every single future but have the
necessary features instead. And that's

something that's really tied into the kind of
features we integrated into the platform. The

badges is a little bit of a gamification. As I
mentioned, it's important for us to have the user

spend time on the platform, use its
functionalities, and to pull them back into the

platform and really assess their performance
looking back at it. The badges really help with

that. For example, if they have really completed
their tasks and allocated times before they

receive a badge for that, whether that is running
the AI several times, whether that is coming into

the platform every day, they can earn these little
badges so that it's a joyful experience to come

back to the platform. And because we operate in
Teams version as well, there's also a little

competition that people can have within their
Teams so that they can use the platform

collectively. Very cool. So you can see who has the
most badges in the company and try to catch them or

something like that. There could even be like the
way I dreamed about it was there's also a

productivity score for every single person. So
maybe in the end of the day, everybody kind of

creates a runner-up list and award the top
productivity junkie of the company and they

receive all the Christmas gifts for the end of the
year. That would be awesome. It would definitely

keep me motivated. Sometimes I don't get what I
want from Secret Santa. You're the white elephant

gifts. You're like, what is this? I don't, you
know. It's always about stealing. You have to have

the right number for white elephants so that you
can steal the other gifts. All right, there you go.

That's the tip of the day, I guess. You take nothing
else. Get the right number for the white elephant.

You mentioned like this for businesses, for
startups. This is really helpful. What about for

just an individual? Could this be used for an
individual as well or is it mostly focused on

companies. It's definitely something that we
built keeping teams in mind but I use it personally

as well. I'm an interesting person and I noticed
that a lot of people actually do this as well. I

thought I was alone in this. I have to have
everything I'm gonna do on my calendar whether

that's work related, whether that's personal
life related, whether it's a workout class,

whether going to the groceries. If I put it up there
on my calendar, I'm gonna do it. I hold myself

accountable through this action. So I feel right
now because a lot of us where working remotely or

hybridly, it's important to create distinctions
between these tasks 100% but at the same time it

does help us keep our personal life in order when
we're like scheduling certain things. So it's

definitely something that can be used for
personal life and if anything it can help with our

separation between work and personal life
because you're in the end of the day creating these

kind of structures for your workday even if it's in
the comfort of your own home. You're scheduling

focus times for certain things and then you're
maybe scheduling a time for yourself where you're

actually gonna go offline fully and meditate or do
yoga for that one hour. So it's definitely built

for keeping in mind the professional scope and the
team scope but it's definitely something that can

be used for personal life as well. Yeah that's
that's so funny. I'm the same way. I've got to

schedule everything like no matter what it is like
even if it's an off day I'm scheduling exactly what

I'm gonna be doing. I'm gonna schedule I'm gonna
watch this movie and then I don't know it's just the

way it's the way some people especially me like
deal with the anxiety especially if they have like

big assignments or they have a busy schedule. If
you're not scheduled that can run in your head and

ultimately lead you to be unproductive and
anxious but like at least for me having a schedule

and knowing what time things are gonna be that's
really comforting. There's actually a very

interesting balance when you are a person who
needs to schedule certain things and I do want to

talk about that for a minute because it's a
challenge that I had to overcome myself as well. I

live in New York and New York is a very very
fast-paced city and so I am always forgetting

plans that I made two weeks prior as you might know
when you're in New York you need to schedule a

dinner two weeks prior to get a reservation or to
find a gap in your friend's calendar whatever. So I

when I first moved here I needed to schedule every
single thing that I was doing whether that was a

dinner whether that was a workout and when you put
things on to the calendar it actually in the end in

the back of your mind feels like a task sometimes
and so it's important to distinguish among the

things that you're scheduling. It's really
important to for example if you put up a dinner

party with on your calendar maybe don't
necessarily schedule anything after that or

maybe don't put an end to it just keep it like five
hours so that in the back of your head you're not

thinking oh but what was I going to do after this or
what am I doing in the morning so that you can

actually be present in the moment. So I would
really highly recommend trying to create these

kind of distinctions in your schedule when it's a
professional thing or a personal thing and then

trying your best to stay in the moment. That is
particularly why we created this future cold

focus mode so that whether or not you're working a
personal task or a professional task you can

really be all in on that one task rather than
thinking about the next move. I did see the focus

mode to that is I was going to ask about that so very
cool. I like that. I wanted to ask what is what are

some of the are you able to track the use cases for
this and if so are there any interesting use cases

that you found or types of companies or teams that
are more drawn to your product. It's actually a

very interesting question because when you first
hear about it this is something that everyone

could essentially use and so it has been important
and pretty challenging for us to understand which

industries or which kind of teams to tap into first
that was going to yield the most returns. And so we

wanted our users and signups to tell us that we did
two rounds of launches first for the individual

launch in June and then the teams launch in like
recently in November. Both of those launches were

really informative for us in terms of getting
feedback and also understanding what kind of

users were actually coming onto the platform. And
interestingly there were very interesting

communities that we hadn't thought of in the past.
Academic communities, students, teachers, HR

groups. We were initially thinking of tapping
into more startup communities and SMBs but there

were these different groups of people who
actually found the product to be very very

beneficial. So it's hard to say this is the top like
user base but it's definitely going to be

surprising but more well-defined in the coming
year as we onboard more teams onto it as well. And

can you go over how the teams work again? Like a
brief overview of that. I guess one of my questions

in my head is can someone else on the team schedule
someone else's time? So if they see you know

Hunter's time is open and they need to schedule a
meeting with him can they automatically schedule

that on his calendar or on his task sheet? How does
that work? That the meeting time suggestion

future is something we're going to be rolling out
by the end of the year so that's something we're

currently working on. But the teams feed is
important for several reasons. So a lot of times

when we're working unsynchronously with our
teams, some people might be offline, some people

might be having a day off, some people might be
working on a task and don't want to be bothered. So

that's what we can see on the teams feed on the right
hand side of the platform. With cool integrations

like Spotify, we're going to be able to see what
kind of music they're listening to or if they just

want to kind of check in and say like, oh, I'm going
to be bringing my dog in tomorrow's work. That's

where all the feed information comes from. And we
get to see, oh, my teammate Hunter is working on

this task and that's something I actually wanted
to ask a question about. So it's about keeping tabs

on what our teammates are working on. And then we
can see there and we can tap into their analytics

page to understand what their work approach is.
This part is going to be important for managers to

really keep track on. Oh, this this task is taking
so long for all of these employees. Maybe I need to

allocate another person to this project, et
cetera. And going forward, this data is also going

to be run by our AI. And so the AI is going to be able to
give more actionable insights into what's

happening with our teams performance as well.
Awesome. And back to the just general, the non

teams version. Does the AI schedule, like if I go on
there and type in my whole day, it makes me a task

list for me for the next day. Does it fill in every
single hour of the day for me, like sleeping this

time, working out this time? Is there ever any gaps
or is it meant to always have something? It does

have gaps, but it's funny because the gaps are also
distinguished as break times. And so if there is a

gap, it's a given break time for you to actually go
offline, go for a walk, go for a coffee run. But of

course, like it's dependent on how you want to
customize it. If you want to finish the work day at

five, it's going to create all the work tasks
between, let's say nine to five. And then after

that, it's going to schedule those personal
times. It's going to have gaps after your work

hours are finished. So that's all up to you for
like, it's basically empty canvas for your

coloring book. And then though, I will also
schedule personal times as well, though. Like you

want to do yoga or something like that. Yes. Yes.
That's something that you can definitely put in

there as well. Gosh, Ryan, are you doing yoga now?
Me, no. I actually do light therapy a lot. I don't

know if you guys know what that is, but that's a big
help. You're doing what? Red light therapy. Have

you heard of that? What's that? It's like this red
light panel that you sit in front of and it just has a

lot of good, healthy benefits. It sounds like some
kind of scam or something like that, but it's

actually better. There's been a ton of like
scientific research done on it and things like

that. It just helps with energy. It helps you sleep
better. Because I live in Cleveland, Ohio, and

it's very, I mean, you're in New York too, so it's
the same there, but during the winter it's very

dreary. You know, no sun gets dark at 430 in the
afternoon. So it sort of mimics the natural light

that you're supposed to get from the sun during the
day. And it's just these, it's like a panel of red

light that you sit from, but it's a, it makes me feel
great. So I do that like a half hour a day or 10

minutes. I was going to be, I was ready to be
impressed by the half hour sitting in the middle of

the lights. No, that's too much. And that, well,
I'll work out as well. My wife, because I go in the

basement to do it and I've got the twin boys that are
six months old and a two year old daughter. And

she's like, man, you're, you're in the basement
way too long. Cause I end up staying down there two

hours, don't want to work it out and do a real light
therapy and stuff too. So, uh, yeah. I need your

task management to keep me on track a little bit.
Maybe you can shorten that two hours to hour and 15

minutes or something. You should try it out. Yeah.
Yeah. Definitely. I was wondering, you mentioned

like some of the next steps and developments, like
the, you know, the meeting collaboration and

stuff like that. What are some other steps that
you're working on right now as you go towards the

future? The most important thing that we're
currently working towards is the integrations

that we're building out. So we're looking at, like
I mentioned the Spotify integration, but wider

integrations like Gmail, uh, task management
apps like Asana and Trello. So it's really going to

be, we really want to build out the task suggestion
engine to require as minimal manual effort as

possible and have it automatically recommend
specific tasks for your, um, to do list. And so

these integrations are going to be very, very
critical for us as we continue to build out the

platform going forward. Notion is also a big, uh,
one of the integrations we're working towards.

Um, and then it's going to be a lot of focus on
building out the AI functionality. So that we can

continue to make user data built into that AI model
and optimize and customize the personal user

journeys for that. And then another big thing that
we're currently working on after the teams

launch, uh, we, as I said, we're really trying to
analyze the onboarding experience for teams so

that we can see what they're using the platform
for, what they're benefiting from. So that's

going to build into how we approach teams and it's
going to adapt our sales approach as well in the new

year. So we're looking at a lot of differences in
onboarding the teams. It's going to be a lot of team

specific futures coming up probably as well. And
finally, we're, it's, our marketing efforts have

been very organic in scope, uh, up until the end of
the year, we're planning to continue it in this

way, but we're currently in an investment round
and we're raising, uh, funds. So we're going to be

allocating a lot of those funds to kicking off our
paid marketing and sales efforts as well.

Awesome. You guys are on a great path here. Um, one
thing that's very, I think it drives a lot of people

away from doing task management is it takes a lot of
time to put in the tasks themselves. Right. So you

guys are integrating, you said Asana soon and
then, um, do you have Trello as well? Yes, it's in

the product roadmap. So you don't even have to
really do anything. Cause if you're doing, if

you're scheduling those tasks in Trello or Asana
already for work, at least your tool can just

automatically pick that up, pull it, pull in the
data and create a, uh, schedule for you the next

day. You don't even have to do anything. Um, in
terms of scheduling these tasks for the day, it's

going to do it all for you automatically. Is that
correct? Yes. That's what we're building out

towards because one of the problems with task
management apps is yes, it does help us visualize

what the tasks are going to look like for us or
allocated across our team, but it doesn't

necessarily help us get to the point where we
finish them. And so like we mentioned earlier, so

this is why before sunset is going to be critical.
Yes, we know what tasks we're going to be supposed

to work on, but maybe we're not approaching the
tasks from the right angles. And are they on our

schedule? When are we actually going to end up
finishing them? Uh, these are going to be some

things that you can manage through before it's on
set. Yeah, that's awesome. I'll definitely start

using this. Cause I think a problem that I have, and
a lot of people have that we talked about a little

bit earlier is you start a task and you, you get to
the perfectionist mode, right? You're like,

well, I got to just tweak this, tweak that. And then
it takes you three times longer than it should

have. And maybe it wasn't even that much better for
spending that three, three, you know, three times

longer on it than you should have taken. So just to
have a solid timeline of say it's going to be an

hour. That's all we're going to spend on it. It's
going to help a lot of people, including myself. I

agree. So when did you guys launch as well? How long
have you been around? Yes. So actually the initial

tool that was built for a more internal use and the
incubator started working out last year. And then

with the new version that we started building out,
we launched in June. So after that launch, we were,

it was massively successful. We launched on
product hunt and we were the number one product of

the day, the week and the month. It led to us getting
to about 20,000 signups, which was insane. Got a

lot of organic traction. And then we really wanted
to position the most active users among that batch

as a part of our power user community. So they'd
been really essential in like helping us get the

feedback. Whenever we roll out new futures, it
helps us keep track on how users are responding to

these futures. And then it helped us prepare for
the team's launch, which happened in November. So

a relatively young tool, but it's the community
response has been really good. So we're really

lucky to have that. As you've been working in the AI
industry for a little bit now, what is your

thoughts on the direction of AI more generally?
You know, you see all these products released like

rock and Gemini and all these things that AI is
taking over humanity, AI relationships, all this

stuff. What are your opinions on all this? I love
talking about this because I've researched it a

lot and initially it did spark a feeling of
distress and fear in me as well as it did in a lot of

people. But what we have to remember, I feel in the
end of the day is unknown is scary for everybody.

This was the case for social media. When it started
first rolling out, everybody was like, don't let

your kids be on social media or if it was like
whether it was use the use of iPod, don't let don't

buy iPods for your kids. This is basically another
new innovation that we need to understand how to

use to our benefit. But we do it so in a mindful
manner as well. So I do believe there needs to be

regulation. I do believe there needs to be a
mindful approach to how we use AI 100 percent in our

industries and the companies for users, which is
what we're trying to do. We're trying to build a

mindful tool. But at the same time, we do need to be
open to these innovations because they're here to

make our lives easier. A key benefit that it's
going to allow for, I feel, is a lot of people's jobs

require mundane repetitive tasks that don't
necessarily need creativity, don't necessarily

need a lot of human input. So I feel AI is going to be
very great in getting rid of those tasks for you,

automating those tasks for you and opening up more
room for the more creative tasks that require that

kind of human touch. The more the tasks that
require human connection or human interaction.

So I personally believe it's going to be an
exciting time for us, but definitely approaching

it in a mindful way so that we can use it for our
benefit to superpower. Our existing human

characteristic is going to be key. The great sum up
there. We asked everybody that on the podcast. A

lot of people have the same sort of outlook you do.
Like you got to take advantage of the AI, use it to

our advantage because we don't really have a
choice. You didn't say that, but a lot of people

did. And then there's also people that think that,
you know, like we've short word on AI, they're

like, well, only only every, every species only
lasts for so long. And maybe the human species is

going to be gone and we're going to have a new take
over. So Robert's Goebbels has a similar view to.

Wow, that's a group. Is there anything else you'd
like to share with the audience? Obviously before

sunset AI, check it out for sure. Was there
anything else you wanted to share? No, yeah. Quick

plug into our platform before sunset.ai. You can
use it for your individual or teams futures. It's

free to use. It has premium futures and the premium
subscriptions, but you can definitely go out and

go ahead and check it out right now. And then be sure
to subscribe to Ryan and I's free weekday

newsletter. You get three super cool new AI tools
every day as long with the three top stories of the

day and some fun community interactions. And then
on Sunday, we have deep dive articles into cool

developments and developers like this one. So
just thank you so much for coming on today.

Definitely going to use your tool more here. It's
going to help me. Thank you. Thank you for having

me.