2824: Navigating the Future of Work, The Remote Revolution and AI's Transformative Role

[00:00:00] Are we standing at the crossroads of work as we know it?

[00:00:06] Well today I want to dive into the evolving landscape of remote work, distributed work

[00:00:12] and the revolutionary impact of artificial intelligence on our work lives.

[00:00:18] Enjoying me today is a visionary of the remote first institute.

[00:00:23] I first met him in Estonia last year,

[00:00:25] where we ended up swimming in lakes, saunas,

[00:00:28] and the Tenning Attack Conference.

[00:00:31] He's an incredibly cool guy.

[00:00:32] He was also part of a panel at the Estonia startup Meetup.

[00:00:36] And we got talking and I invited him on the podcast.

[00:00:38] It has took us some time to get him on here

[00:00:40] due to our busy schedules,

[00:00:42] but we've finally been able to line that up.

[00:00:44] And for his work at the Remote First Institute, they're an organisation at the forefront of

[00:00:49] shaping the future of distributed workforces. And as we navigate the post-pandemic world,

[00:00:54] I think many organisations are wrestling with that back-to-office dilemma,

[00:00:58] fueled by a mix of fear of change and longing for a familiarity of life back in 2019 where the world was a very different

[00:01:06] place. But today's guest is going to shed light on how embracing change, particularly through AI.

[00:01:12] It's not just an option, but a necessity for enhancing productivity, efficiency,

[00:01:18] and overall job satisfaction. I also want to find out more about Remote First Institute's AI Mental, which is designed

[00:01:26] to personalise your productivity to the insights gained from their distributed work score.

[00:01:32] So today's discussion promises to be a deep dive into the future of work, how countries

[00:01:36] are as far apart as Estonia and Saudi Arabia are leading the charge in remote work adoption

[00:01:41] and also, what can we learn from them?

[00:01:44] How does AI fit into this puzzle? How can we better automate repetitive tasks and enable us all

[00:01:49] to work smarter, not harder?

[00:01:52] Before we get todays guests will know, I need to give a quick shout out and a thank you

[00:01:56] to the sponsors of Tech Talks Daily this month. They are quite works and in a digital age

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[00:02:52] can explore the future of secure data management. But now it's time to get on with the show and

[00:02:56] invite today's guest on. Book it up and hold on tight as I'm going to beam your ears all the way

[00:03:02] to Saudi Arabia where today's guest is waiting to join me.

[00:03:05] So, a massive welcome to the show.

[00:03:09] Can you tell everyone listening a little bit who you are and what you do?

[00:03:13] Hey, Eva Sapper here.

[00:03:15] So for the past seven years, I've been into change management on the remote work side.

[00:03:21] So the company that I co-founded True Remote Hub, we've held over 3000 companies,

[00:03:25] including Walmart, Microsoft, Make, Work.

[00:03:29] So we've been dealing with change management,

[00:03:31] which is a top topic.

[00:03:33] We've been helping companies create policies,

[00:03:37] how to work, train their leaders.

[00:03:39] Basically all the elements that are necessary

[00:03:42] to create the healthy and inefficient organization.

[00:03:46] And last year, we started to look into AI, how AI can help professional services

[00:03:52] that are delivered by our consultants. And we launched a platform that is basically a change

[00:03:58] management platform where consultants are creating their own AAS systems to help them facilitate the change management

[00:04:06] process within your organization.

[00:04:08] So a lot of experience in led the future of work change management area and now enhancing

[00:04:16] this with with AI.

[00:04:17] So that's a very short version, but I love to talk and I can talk about it for hours.

[00:04:23] Well, it's an honor to have you on the podcast for everyone listening.

[00:04:26] We met in Estonia last year where I saw you talking on stage about the digital nomad visa,

[00:04:32] but I know it's something that you live and breathe.

[00:04:34] And one of the things I love about your LinkedIn page is you seem to be working in a different

[00:04:38] country every time I open it up and follow your progress.

[00:04:42] But for many people listening, I think the pandemic reshaped the world of work with a

[00:04:46] greater shift towards remote working.

[00:04:48] I've got to ask you, why do you think this back to the office battle is back?

[00:04:52] Where did that come from?

[00:04:53] And why are so many still resisting this change?

[00:04:57] Yeah.

[00:04:57] No, it's a very tough question because basically you need to take

[00:05:04] aside all the business reasons and look at the pure

[00:05:08] human level.

[00:05:10] People are afraid of change.

[00:05:12] People like how the things went when they worked.

[00:05:16] So I'm looking at the world before March 2020.

[00:05:19] And a lot of companies were looking at this phase once the pandemic was over or kind of

[00:05:24] over as this is a temporary phase, right?

[00:05:26] So we had this bad. So this battle that you're describing already happened in the fall 2021 the fall 2022 the fall

[00:05:33] 2023 right. So it's just a kind of something that the company a lot of companies

[00:05:40] actually didn't buy in into the concept where we need to focus on how we are working,

[00:05:47] where the place is irrelevant, because what is really broken is how we are working, right?

[00:05:52] So there is this element of we're humans, we don't like change.

[00:05:57] There is an, so let's have this as a point number one.

[00:06:00] Then there is an element of companies never bought in into changing, right? And if you combine those two and in uncertain

[00:06:08] economy, then you basically have to have a recipe for going back

[00:06:14] and forth on on actually where we should go next. This is

[00:06:18] majority of the market. Luckily, there are a lot of companies

[00:06:21] that knows you need to adapt, you need to change to extremely

[00:06:26] fast-paced market conditions right now.

[00:06:30] These companies understand that you need to focus on productivity, on efficiency, but

[00:06:36] also on the KPIs around the pure culture.

[00:06:40] Making people happier, like happy employee is, like that's the huge correlation to, for example, to productivity and productivity right now is the number one challenge for Fortune 500 executives.

[00:06:52] This is number one, right? According to that Atlassian and a research.

[00:06:57] So if you look at all of this, like kind of zoom out, pandemic showed that companies are broken. Companies don't know where to go. They still try

[00:07:10] to live in the pre-COVID era when there are a lot of challenges already. They need to make

[00:07:16] finally some decisions. There's not a cycle of every year we have about to like, no, that's not

[00:07:22] happening. 100% with you.

[00:07:25] And as you said, people are afraid of change.

[00:07:27] Businesses are afraid of change.

[00:07:29] We're all living in an era where the speed of change is moving at

[00:07:32] breakneck speed.

[00:07:33] But it's never going to move this slow again.

[00:07:36] Before we recorded the podcast today, we were talking about the open AI

[00:07:40] text to video feature.

[00:07:42] And on the concept of change and how quickly it's moving, one

[00:07:46] of the things I love about your work as well is you've mentioned that the potential of

[00:07:49] AI to make work easier and enhance efficiency is actually a good thing and something not

[00:07:55] to be afraid of.

[00:07:56] So can you elaborate on the impact of AI and what you think it will have on the future

[00:08:00] of work, especially around things like productivity. Yes.

[00:08:05] So, the biggest thing I see in AI, if I were to name one, is that you can really put best

[00:08:13] practices on autopilot or semi-autopilot.

[00:08:17] So it's no longer someone telling you how to run meetings, build culture, manage projects, write emails, etc.

[00:08:27] You can, a lot of the things you can break down into mini processes, mini workflows,

[00:08:33] things that you follow.

[00:08:34] Like even if you write a LinkedIn post, I will give you an example, right?

[00:08:37] So for example, I'm using our own platform where I developed an AI assistant to create

[00:08:44] relinked in post. It has 10 different stages that I'm

[00:08:47] going through. It's like a repetitive process, many,

[00:08:50] many things that you're doing, right? And then if you

[00:08:53] relate to what everyone like every knowledge worker is

[00:08:56] doing, you have a lot of the things that are happening, you

[00:08:59] can break down into mini, mini tasks, right? And this is

[00:09:03] connected with some people are calling like standard operating procedures, this kind of stuff, right? And this is connected with some people are calling like standard

[00:09:06] operating procedures, this kind of stuff, right?

[00:09:08] Or like the best practices, all the things that you learn while

[00:09:12] watching sales face courses, attending webinars, workshops, reading

[00:09:16] your nature policy on how to work, etc.

[00:09:19] Right.

[00:09:19] So the biggest thing in the, in, in AI is that it can guide you,

[00:09:24] it can enhance you, right?

[00:09:25] There is this piece of course around like automating certain tasks, right?

[00:09:31] But as of today, we're still very far from this and even if we reach this phase

[00:09:37] So it can already automate some stuff very early days

[00:09:40] But even if we reach it like still you would need to have a human in control

[00:09:45] On the end on what is done and how it's done, right? So the impact is huge and it's like very

[00:09:52] personalized. So you can really define how you want AI to help you. The biggest, I would say,

[00:09:58] blocker for most people right now is to figure out the use case. It's like, hey, hey, hey, I

[00:10:03] overwhelming, like, but like how I can actually use it like in besides going to

[00:10:07] JAD GPT and just like writing to an email or whatever, but like actually in

[00:10:11] your workflow, how you can incorporate it into your workflow, right?

[00:10:16] And you mentioned the AI mentor there.

[00:10:19] And I was reading about it before you came on the podcast today, at least

[00:10:22] described as remote house intelligent partner.

[00:10:24] So can you tell me a little bit more about its functionalities and how it optimizes that

[00:10:29] distributed work experience? Yes. So actually, we're right now going beyond

[00:10:35] just distributed work experience. It's just work. So basically, anyone can come in and

[00:10:40] create an AI assistant that is helping them. And now you name it with what?

[00:10:45] And I will give you one specific example.

[00:10:47] You got to have your own productivity partner

[00:10:49] that is with you through the whole day.

[00:10:51] You're searching the day, you're sharing what's your plan

[00:10:54] for today.

[00:10:55] It helps you prioritize your tasks.

[00:10:57] You connect your calendar so it knows already

[00:10:59] that this person has like four meetings already.

[00:11:01] So we cannot plan too much stuff because like,

[00:11:04] you know, like two hours already taken, for example, right? Then it schedules your deep

[00:11:09] work sessions. So you have specific time when you're working on specific tasks that were

[00:11:15] planned for you before, then you're starting a Pomodora session within the assistant,

[00:11:20] you're clicking play and then 25 minutes start to roll. And then you finish and like, Oh,

[00:11:24] I feel a sense of accomplishment

[00:11:26] because they planned this specific task and I did it.

[00:11:28] Well, let's go next one, right?

[00:11:30] And then at the end of the day,

[00:11:31] you summarize it with AI with the checkout,

[00:11:33] how was it feedback for the next day?

[00:11:35] And then you go into the next day and such, right?

[00:11:38] So we are really looking at very specific use cases,

[00:11:41] how you can have your own AI assistant

[00:11:44] to boost specific, like either to boost productivity

[00:11:47] or to like streamline your communication,

[00:11:49] tuition of reports, like whatever it is, right?

[00:11:54] So it's very exciting for us because for so many years,

[00:12:01] our operation, like our way of working with a customer was mainly talking

[00:12:06] and producing documents, right? But then it's like on the customer, right? What happens?

[00:12:11] Here, you can actually give the superpower that remains with you and helps you implement

[00:12:19] whatever you want. And mostly we're focusing on on work habits. So then you can basically work smarter, no harder.

[00:12:27] And of course you can only improve what you measure.

[00:12:30] And a lot of people hear about things like AI and remote working and all the big buzz words,

[00:12:34] but for business leaders, they're going to think, okay, but how do I measure this?

[00:12:38] How can I see it makes a difference?

[00:12:39] I understand that you are a fixlessly called.

[00:12:42] Yeah.

[00:12:42] Yeah.

[00:12:42] I know you mentioned the distributed work score, which you value rates, remote work capabilities across so many different

[00:12:49] areas. Can you just walk me through the areas and the significance of that measurement?

[00:12:52] Yeah, I'm a little percent. So our MVP actually of the A mentor was to create a diagnostic

[00:12:58] tool to see how well your team is operating as a distributed one. So, and then Play was talking with AI

[00:13:06] for like 30 to 45 minutes.

[00:13:08] They described talking about communication, collaboration,

[00:13:12] leadership, company culture.

[00:13:14] Like basically we've been checking 120 work insights.

[00:13:18] So AI has a job to like gather the information

[00:13:22] about 120 things and like ask follow up questions.

[00:13:25] So really like a full overview, right?

[00:13:27] Then the user gets not just the score, but also an overview on all these areas and charts

[00:13:33] and data analysis and then also recommendations, right?

[00:13:37] But then if you look at the real kind of deal, which is the metrics, how you're progressing.

[00:13:43] So this is a starting point.

[00:13:44] This is kind of like, which is the metrics, how you're progressing. So this is the starting point. This is kind of like a snapshot.

[00:13:46] This is where you are, or like this is where your teammates

[00:13:49] or your company.

[00:13:50] Now let's think about how we can take this forward

[00:13:52] and also measure this.

[00:13:54] So the magic with AA assistants in general

[00:13:57] is that whenever you're using this regularly

[00:14:00] and you're interacting, you're producing data.

[00:14:02] And this data can be analyzed and help you,

[00:14:05] as an individual or as a company, get a better overview of where you're heading,

[00:14:10] what are the metrics, etc. This is actually one of the biggest pain points when you're doing

[00:14:16] change management list, like how to measure the change, how to measure the impact. You cannot

[00:14:20] only look at the revenue, for example. There are a lot of mini metrics, even on a day-to-day basis.

[00:14:26] For instance, coming back to the productivity partner example,

[00:14:29] you can have a productivity streak.

[00:14:31] Like on Duolingo, you have this streak,

[00:14:35] like how many days in a row you're doing something.

[00:14:37] So you can have the same rate,

[00:14:38] you can track how much time you spend in Deepwork.

[00:14:41] So it's not just the day day to day interactions and help,

[00:14:45] but also the data that you're gathering along the way that helps also to establish a more

[00:14:52] transparent workplace. Transparency these days is one of the biggest issues when we're talking

[00:14:58] about the company culture that is actually affecting the ability to be a happy and efficient distributed team or a company,

[00:15:07] and you just seem miles ahead of others in emphasizing the importance of measurement in

[00:15:11] evaluating remote work capabilities. But it's not just a measurement. I believe you also use AI

[00:15:16] to assist in tracking and analyzing those metrics too. Yes, yes, 100%. Basically, not everyone can afford hiring KPMG PwC consultants to come in and it creates

[00:15:30] you crazy long reports and DP keynotes, etc.

[00:15:34] So then there is a huge potential.

[00:15:37] So what we're doing into getting the data, quickly analyzing this and giving you output,

[00:15:43] right?

[00:15:44] The capabilities are huge. You can think

[00:15:46] about that right now, AI in general is like a very smart

[00:15:51] intern. So it needs a lot of context. And then it can

[00:15:56] perform actions on on really a top notch level. But the

[00:16:00] problem that most people have is that you're not giving, you're

[00:16:04] not giving the context in the right

[00:16:05] way or you're not giving enough context, right?

[00:16:09] So that's kind of the piece that if we don't teach ourselves and if we don't use the tools

[00:16:15] that gather this data properly, then the analysis will be also far from perfect.

[00:16:22] And I've got to ask, I know your bias, but do you think eventually everyone will get an AI assistant to work smarter? And how do you see it all playing out and the

[00:16:29] evolution of work, the future of work? Where do you see it all heading? Yeah, of course,

[00:16:35] they would say that every knowledge worker should have an AI assistant. Like, back in

[00:16:40] the days, it's still the case that you have executive assistance, right?

[00:16:45] So like virtual assistants, etc.

[00:16:47] Right?

[00:16:48] So now think about it that the price drops 10, 100 times like whatever the number you

[00:16:55] can come up with, and then it becomes faster and like more skilled than and has a more

[00:17:00] robust, more robust coverage of specific tasks that it can do, right?

[00:17:04] So everyone, it's not just about implementing best practices,

[00:17:08] but it's also the things that we hate to do

[00:17:10] or we forget to do, et cetera.

[00:17:12] So think about what you would like to outsource

[00:17:15] or like semi-outsourced when you're still guiding.

[00:17:18] And this is the part that is more of a future potential

[00:17:21] right now, what works best if it's like

[00:17:24] really human-guided thing, right?

[00:17:26] Looking into the future couple of years from now, there will be more and more autonomous agents.

[00:17:33] So truly AI that is doing stuff on their own, right? And even autonomous agent that is getting

[00:17:41] a goal, like what they should achieve without telling them exactly what to do.

[00:17:45] So you're saying a simple example, please do this research on specific markets, specific

[00:17:53] country. And that's it. And then I say, okay, in order to do the research, I need to go

[00:17:59] online, find this, then synthesize it, do, do, do, do, do, it serves like, I don't know,

[00:18:03] 20 things and it's going one by one.

[00:18:05] Now, another interesting twist here is that you can add another AI or like multiple

[00:18:12] AIs that are working with each other.

[00:18:14] So basically you have a team of AIs where one is the researcher.

[00:18:18] Another one is a reviewer.

[00:18:21] The third one is like a product.

[00:18:23] If this is something related to product, the fourth one is a reviewer. The third one is like a product. If this is something related to product,

[00:18:25] the fourth one is a marketing person

[00:18:27] that will be marketing person, AI,

[00:18:30] and that will be marketing this research.

[00:18:32] And at the end, you have a CEO that approves it, right?

[00:18:34] So you have multiple agents working with each other

[00:18:37] to deliver a specific results.

[00:18:39] Today, this is more of a experimentation phase.

[00:18:44] But in a few years,

[00:18:46] like some Altawan recently said,

[00:18:49] there will be a first solar printer billionaire.

[00:18:52] Yeah, exciting.

[00:18:53] I've got to ask, a question I'd love to ask you is,

[00:18:56] last time I met you was in Estonia,

[00:18:57] you'd just flew in from Lisbon at the time.

[00:19:00] Now, you're now talking to me in Saudi Arabia,

[00:19:03] you're a guy that travels all around the world. Are you noticing any trends in those conversations that you're now talking to me in Saudi Arabia, you're a guy that travels all around the world.

[00:19:05] Are you noticing any trends in those conversations that you're having?

[00:19:09] What are you learning from working and traveling and learning about how each of these countries

[00:19:13] are adapting and changing their work?

[00:19:16] Any big trends that you're noticing and big lessons that you've learned on your travels?

[00:19:21] This is a very tough, very interesting, but also a very tough question.

[00:19:27] I would say that I see a group of, I would say, nations.

[00:19:34] You brought up Estonia right now.

[00:19:36] I'm in Saudi Arabia.

[00:19:37] I would put them actually in the same bucket in terms of forward thinking and understanding

[00:19:44] that you need to change

[00:19:46] because otherwise you fail. And then there are other countries that are still like very resistant

[00:19:53] that lets the given example of like German companies of course like I'm generalizing

[00:19:57] they want to offend any of my German friends but if you look at the big picture right

[00:20:01] there's definitely a lot of things that needs to be changed there. So this kind of like the main thing, it's such a fast paced world right

[00:20:09] now where you actually don't know even like what will happen in the next few weeks or

[00:20:13] few months also looking like geopolitically wise. So more on the personal level, I would

[00:20:19] say that we need to start bracing ourselves that one day you might be forced to be a nomad,

[00:20:27] not a fancy digital nomad, but something will force you to change.

[00:20:31] It can be a war and can be a migration crisis, whatever it is.

[00:20:35] So we're coming to an end of the world, not just of work, but potentially also the life

[00:20:42] that we know.

[00:20:44] So we need to find ourselves in this potential new scenario.

[00:20:49] So these countries that are understanding this and are encouraging their people, companies

[00:20:55] to be ready or at least go towards the change because constantly adapting is the exercise

[00:21:03] here.

[00:21:04] This is what I see comparing to different countries where I am.

[00:21:07] Yeah, 100% constantly adapting.

[00:21:09] I think you hit the nail on the head there.

[00:21:11] You probably can't share too much, but are you able to offer any sneak peeks or teasers

[00:21:16] into any upcoming tools or features or anything that you're working on that we can expect next from you?

[00:21:22] Yes.

[00:21:23] So one big thing is that we recently

[00:21:26] launched a creator for AI assistance,

[00:21:28] where you can connect your work tools and customize it,

[00:21:31] however you want, and we'll keep adding more stuff there.

[00:21:35] And the second thing is that we are basically

[00:21:37] taking the platform and packaging this for consultants.

[00:21:41] So people that are dealing with change management,

[00:21:44] consulting companies, et ceter etc. to run the whole process end to end on our platform.

[00:21:50] So from the individual, if we have individual contributors, select team leaders, more and

[00:21:54] more robust abilities for the AAS system to work smarter, not harder.

[00:21:59] And then if we have some change makers with us, we can make that the change management

[00:22:04] process way more seamless and efficient. So those

[00:22:07] are the things that that we're focusing on. Unfortunately, so

[00:22:12] last year for 10 months, I was able to work four days a week,

[00:22:16] which I was extremely happy about that I've managed to fight my

[00:22:19] workaholism. But then last year, it kind of changed. So again, I'm on the sixth day kind

[00:22:27] of shift. So that's why there's also like a lot of things happening. So I mentioned

[00:22:31] that too, actually very big project set. It's not even the full scope. So it's exciting

[00:22:37] for everyone that is listening to us. Ask yourself an honest question. If you're truly

[00:22:44] embracing that the huge shift that is happening

[00:22:47] and then if not, figure out how you can do baby steps into finding your new or your adjusted

[00:22:54] place and then your reality.

[00:22:56] Maybe it's upskilling.

[00:22:57] Maybe it's risk killing.

[00:22:58] It's very different for everyone, but make some moves, please.

[00:23:02] Yeah, I think that's a powerful moment to end our conversation today.

[00:23:07] But thank you for sharing your insights.

[00:23:09] But before I let you go and someone that does a lot of traveling, I would expect you've

[00:23:13] got a Spotify playlist and a couple of books.

[00:23:15] So I always ask my guess, is there a song that you can add to our Spotify playlist or

[00:23:20] a book that means something to you that we can add to our Amazon wish list?

[00:23:24] I don't mind which you leave us with, but what would you like to leave everyone listening?

[00:23:27] Yes, 100%. Actually, I'm pulling up my Spotify right now.

[00:23:34] And let's do actually asset by cats and dogs. Yes. Cats and dogs, if you don't know them,

[00:23:41] Big Ben, and like Joe actually also from Poland, but they're well known and the last set tune assets

[00:23:47] is killing it.

[00:23:48] What a great choice.

[00:23:49] I'll get that added to the Spotify playlist.

[00:23:52] And anyone listening wanting to find out more information

[00:23:54] about you, whether they want to connect with you on LinkedIn

[00:23:57] or find out more about your work,

[00:23:59] can you write them in the right direction of what website

[00:24:02] and where you'd like to them to connect with you?

[00:24:04] I think best LinkedIn, your software is just find me or you can look up the remote how

[00:24:09] for the remote work related stuff or AI mentor at the remote first institute website.

[00:24:14] So those are the things that the simplest way just go to LinkedIn connect with me.

[00:24:18] I'm posting almost daily. So let's keep in touch there.

[00:24:22] Fantastic. Well, again, I'll add a link to that so people can find you an ICZ.

[00:24:26] We covered so much in a short amount of time today from the back to the office battle,

[00:24:30] as we were all experiencing now, and how AI will actually help make life easier, make

[00:24:35] work easier.

[00:24:36] And actually, it's nothing to be afraid of.

[00:24:38] But more of a thing, just thank you for sharing your insights today.

[00:24:41] Thank you so much.

[00:24:42] Thank you for having me.

[00:24:43] Talking about the remote first Institute, highlighting a world where AI not only complements but

[00:24:48] enhances our work lives. Through tools like an AI mentor, I think we're seeing firsthand

[00:24:54] how intelligent technology can optimise our daily routines, making remote work not just

[00:25:00] feasible but pressurable. And that back to the office battle, as today's guest pointed out, is rooted in fear of change,

[00:25:09] a fear that once over-come, opens up a plethora of opportunities for productivity, for efficiency

[00:25:15] and personal growth.

[00:25:17] And as we look to the future, with predictions of AI becoming an integral part of our work

[00:25:21] environment, the message is clear.

[00:25:24] Adaptability, continuous learning and

[00:25:26] embracing technology. These are the keys to thriving in this new era. But hey, you've heard from me,

[00:25:33] you've heard from today's guest. What does the future of work look like to you? Do you see AI

[00:25:37] as your ally in navigating the complexities of remote work or the future of work? Please join

[00:25:44] this conversation. Share

[00:25:45] your thoughts on how we can all work smarter, not harder in the years ahead. You can do

[00:25:50] that by emailing me Twitter, LinkedIn, Instagram at NeilCQs. I'd love to hear your thoughts

[00:25:56] on this. Because it's your insights, your engagement that fuel our journey and the heart

[00:26:02] of technology's impact in the world that we all share. So until next time keep innovating, keep adapting and let's

[00:26:09] continue to shake this world of work together. But enough from it, see you all

[00:26:13] tomorrow!