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Something shifted for us this year: the more we commit to doing less, the more we’re actually building. Nikki, Courtney, and Allie get together for a real catch-up on work, life, and what’s next for Automation Ladies, with stories that range from bigger robotics and better work-life balance to a brand-new view outside a bayou window in Louisiana.
We also dig into OT SCADA CON and why it keeps feeling more like a community than a conference. OT SCADA CON runs July 22-24 at the Endress+Hauser Houston Campus in Pearland (south of Houston), and we share what’s new this year: fresh speakers, updated sections, the same 30-minute talk format, and the kind of fun that makes people stay late (taco trucks and karaoke included). If you care about operational technology, industrial automation, controls engineering, and modern data skills, you’ll especially want the part about databases and process historians and why that knowledge still runs so much of industry.
Then we get practical about AI in manufacturing. No hype, no magic: we talk about where tools like Claude and OpenAI Whisper are finally saving real time, from generating documentation and polishing write-ups to building a custom raffle app that runs the way we want. We also lay out the guardrails we take seriously: review everything, don’t leak sensitive information, and follow your company AI policy.
We wrap with where you can find us at Automate and other events, how we’re expanding the show with more correspondents, and our push for more live demo episodes (including a PID loop tuning software demo). Subscribe, share this with an automation friend, and leave a review so more people can find women-led conversations in industrial automation.
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🎙 About Automation Ladies
Automation Ladies is an industrial automation podcast spotlighting the engineers, integrators, innovators, and leaders shaping the future of manufacturing.
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🎤 Want to be a guest on the show?
https://www.automationladies.io/guests/intake/
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👩🏭 Connect with the Hosts
Nikki Gonzales: https://linkedin.com/in/nikki-gonzales
Courtney Fernandez: https://linkedin.com/in/courtneydfernandez
Ali G: https://linkedin.com/in/alicia-gilpin-ali-g-process-controls-engineering
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🎟 The Automation Ladies Community Conference: https://otscada.com
Learn more about the hosts’ industrial automation conference OT SCADA CON attended by 100+ automation professionals, engineers, integrators, and technology leaders for hands-on learning, real-world case studies, and meaningful industry connections.
🎬 Credits
Produced by: Veronica Espinoza
Music by: Sam Janes
P.S. - Help our podcast grow with a 5-star podcast review if you love us!
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Want notifications of upcoming episodes & other Automation Ladies news right in your e-mailbox?
00:00 - Welcome And Quick Catch-Up
02:37 - Bigger Robots And Doing Less
05:12 - A Move To The Bayou
06:42 - OT Skatacon 2026 Plans And Speakers
09:47 - Building A Custom Raffle App
12:42 - AI At Work With Real Guardrails
21:22 - Whisper Keyboard For Faster Writing
23:57 - Automate And The Travel Calendar
28:52 - Growing The Show With Correspondents
30:52 - Live Demos And What To Showcase
33:27 - Life Updates And Closing Thanks
34:47 - Sponsors, Subscriptions, And How To Reach Us
WEBVTT
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Welcome to Automation Ladies, the only podcast we know of where girls talk about industrial automation.
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Okay, so let's do this.
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Ladies, welcome to uh episode of Automation Ladies with just Nikki, Courtney, and Allie.
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Hey y'all.
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Hi.
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What's going on?
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Well, um, quite a lot, I guess.
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It's it's been a busy year so far.
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I can't believe it's already April.
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It's Easter this weekend.
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Yeah, I lost track of that myself, actually.
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I'm used to it being a little bit later in April, and then uh yeah, all of a sudden spring break is upon us.
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Yeah, it seems like this year's been going by fast.
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So uh should we do updates or introductions?
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Um, I don't know if you're new to the show, hi, we're your hosts, Nikki Gonzalez.
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Um I think there's introductions though in the in the beginning of the episode, so I don't think that we need to do this.
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Um why don't we do this?
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Courtney, since you're below me on the screen, um, do you want to tell us what you've been up to?
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Anything that you can talk about uh since we last spoke on the on the show?
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Yeah, um just a lot of tuning motors and trying to get stuff to move.
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Um, I'm again just in a different payload world than I'm used to.
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I've always done smaller robotics, so now I'm doing bigger robotics.
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And uh the math is the same, it's just the numbers are bigger.
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So I've been focused on a lot of that stuff um right now.
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There's exciting things going on at Relativity Space.
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So if you are interested in joining us, uh there's I don't know, at least 300 positions, I think, open on the careers website.
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So there's a lot of fun ways to jump in um to be a space nerd.
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Very cool.
00:02:47.419 --> 00:02:53.740
And from what I gather, just being your friend and communicating with you over the last few months seems like a pretty great place to work.
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Oh, it's uh, I mean, as far as work-life balance goes, this is probably the best I've ever had.
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Um, and when I'm at work, it's nice to be at work.
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There's like snacks and places to go look at green things.
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Um, and once a day we go and stretch if we want to.
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So it's just uh it's it's been a different experience.
00:03:16.939 --> 00:03:26.379
It's like I I've had this awakening where I've been trying to do for like the last seven months or so, like I've been trying to do less.
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Um, has just been my mantra.
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It's just do less, and I've been more productive, I think, than I've ever been in my life.
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So there's a lot to be said about doing less.
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Yeah, no, that's a good point.
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I'm working on that myself, actually.
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I've been getting better at uh delegating and not thinking that I need to do everything myself.
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And I think I'm maturing in that sense.
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And then obviously the biggest exercise in that, I would say, has been growing our team at Automation Ladies and OT SkateCon.
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Um and so shout out to Veronica, who is in the background here producing this episode, uh, and our two other team members, uh, Mariala and MJ.
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And it's been a real pleasure to have capable, competent people um that you can trust to get stuff done.
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And not that we weren't working with capable, competent people before, but it's just like I have not been, I have I think I needed to do some growing in order to be able to effectively manage um or delegate to people.
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And and so that's been a big part of my growth this year uh as well.
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Allie, how about you?
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Um, I uh moved from Houston to uh New Iberia, Louisiana, which is south of Lafayette, and uh to follow a boy.
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So it's one of those countries.
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Um and yeah, I live right on the bayou.
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I can see a raccoon from outside my window right now, and I think I just saw it catch a rat.
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That was really scary.
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Um I didn't know they ate rats.
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Um I guess they're omnivores, so they'll eat like whatever.
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Oh yeah.
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Um but around here there's most all the like um restaurants have like alligator, so that's special.
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Do you eat the alligator when you go out?
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I do I have had it.
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It tastes like chicken.
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Yeah.
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I've heard that.
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I haven't tried it though.
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They just they just make it taste like spices, so tastes like whatever you put on air.
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And is it I could say also that Allie, you have been doing less than you have in the last two years.
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Yes, by a lot.
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I have been doing a lot less.
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Um, I'm still working on OT Skatacon though.
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But um, yeah, that's my main thing that I've been working on.
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So, in case our listeners don't already know, I would say most people that have followed us for a while already know about this.
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But in case you're new here or for some reason you haven't seen the purple cats, uh, can you tell us about OT Skatacon and what we got going on for this year?
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Uh this will be our third year that we're doing OT Skatacon.
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And uh we just got our first batch of um uh speakers that applied um get selected.
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And uh we're just we just got our schedule kind of our our pr like preliminary schedule figured out.
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And um yeah, I'm really excited this year.
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There's new sections.
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Uh sections um are the same length, they're 30-minute sections, but there's um different sections and different speakers.
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Um and we're gonna have a raffle system that is currently being worked on by Courtney Pendant.
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And uh yeah, we're gonna we're gonna we're still gonna have all the same fun with taco trucks and karaoke.
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And uh yeah, I'm excited.
00:07:03.819 --> 00:07:05.819
I'm excited about the new speakers.
00:07:06.139 --> 00:07:12.939
Um one particular speaker that sticks out is um I've watched him on social media, well, LinkedIn.
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Um his name is Ricky Sun, and he actually used to work for OSI Pi, and that's like a really highly used historian in oil and gas, and in actual, like in most in a lot of industries, actually, not just oil and gas.
00:07:26.379 --> 00:07:37.340
But um, he will be speaking about uh databases and process historians, and so I'm excited to see you know uh some new talks that we've not seen before.
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Um yeah, that's that's what OT Skatacon is.
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Um it's a small gathering of you know like-minded people, so it's it very much feels like a community conference.
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And I would say that it's probably becoming more and more so of the community as we go along, um, taking in like input from people that came and now letting the attendees or you know, people just apply to speak.
00:08:04.860 --> 00:08:06.699
Uh the location is the same as last year.
00:08:06.860 --> 00:08:13.500
So the Endershauser uh Experience Center down in Parland, which is south of Houston, uh was a really great location.
00:08:13.579 --> 00:08:15.180
We got such good feedback on it.
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Um, great training facilities and just a fun place to hang out.
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So uh it's pretty exciting.
00:08:20.939 --> 00:08:29.340
July 22nd through the 24th, and tickets are currently on sale at OT Skata, and and I am so looking forward to it.
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Especially now that you're not here in Houston anymore.
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Um, having you guys come visit is is really fun.
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Actually, uh Courtney, my daughter was just talking about yesterday.
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Uh, she brought up how when your daughters came to visit and stayed at Allie's house last year and how much fun that was.
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And then I was like, huh, I guess they'll probably have to stay at our house this year.
00:08:51.419 --> 00:08:52.779
So that's true.
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I hadn't even thought about uh where I was gonna stay yet, but I'll I'll pitch a tent if I have to, honestly.
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I'm going to Houston.
00:09:02.299 --> 00:09:04.379
Yeah, we will make sure that you're there.
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And and Albert is uh essential as well to the to the con.
00:09:09.659 --> 00:09:12.059
So we'll have to make sure the whole family comes.
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Um speaking of the raffle that you mentioned, so Courtney Pendant is an engineer that used to work for you, Alley.
00:09:18.139 --> 00:09:25.500
Um, and she got a really great opportunity that she now basically had a position almost created for her.
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Uh, she's doing controls in a marine setting up in Washington, but we're really lucky that she's coming back as a um volunteer to help run the con because she did a really, really great job uh last year helping things, helping with things.
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And uh, I think her military background has a lot to do with that in terms of her being super helpful.
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Um, but what she's working on is basically she's been by coding a raffle application that works exactly the way that we want to run our raffle.
00:09:53.739 --> 00:10:04.620
So one of the hallmarks of OT Skatacon uh is that the vendors don't come and set up tables and pitch their stuff or show demos, um, except maybe one or two.
00:10:04.779 --> 00:10:06.779
We have a few interactive demos.
00:10:06.939 --> 00:10:12.939
But otherwise, it's not a common, you know, have people sit at a table and try to get a lead from you or show you stuff.
00:10:13.099 --> 00:10:17.259
Uh, the way that vendors can engage and show their technology is to give it away.
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And so we have this raffle, but we have a very specific way that we want to run it.
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And we've done it manually with raffle tickets and spreadsheets and stuff like that.
00:10:27.019 --> 00:10:28.939
Uh, and it's a big effort, right?
00:10:29.179 --> 00:10:35.099
Um, getting the data and managing it all and handwriting, people handwriting their you know, contact information on it.
00:10:35.259 --> 00:10:44.939
So we were looking into ways that we could do this digitally, and I think somebody did some research on some raffle software, uh, but nothing worked exactly the way we want it.
00:10:45.019 --> 00:10:52.059
But now, hello, we live in uh 2026, and apparently AI can do a lot more than it used to.
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Um, and so I built some apps last year uh with some vibe on some of these vibe coding platforms, and I realized that they're getting a lot better.
00:11:02.059 --> 00:11:09.659
Um, and so I suggested that maybe we look into just making our own, and Fortney just took that and ran with it and started designing um an app.
00:11:10.459 --> 00:11:12.859
And I'm really, really excited about that.
00:11:13.019 --> 00:11:14.379
And I think that that's really cool.
00:11:14.539 --> 00:11:22.299
And um, we pay for an event management software where we sell the tickets and kind of manage the tickets and um the website for the con.
00:11:23.179 --> 00:11:34.859
And I would say uh also time permitting, I would love to make our own event software uh that works exactly the way we want it to.
00:11:35.019 --> 00:11:39.659
Because I've been to events where they have an app for the event, um, and it's just really annoying.
00:11:39.819 --> 00:11:45.579
Like there's all kinds of features you don't want, people pinging you for certain things or notifications.
00:11:46.219 --> 00:12:01.500
Uh and I just think that it's pretty cool that we live in a time where we can kind of make our own stuff that works the way that we want to, uh, without having to pay, you know, hundreds of dollars or thousands of dollars for enterprise software, which in the event management space, there's not a lot of options.
00:12:01.579 --> 00:12:05.659
There's a few low-end options, and then it gets um to the really, really expensive ones.
00:12:05.899 --> 00:12:12.539
Um, and so for us, like a smaller conference where we don't really, you know, the primary objective of it is not profit.
00:12:12.699 --> 00:12:19.899
Um it's it's hard to justify spending that much money on a on a ticketing software.
00:12:20.620 --> 00:12:25.019
So with that, I know everybody's kind of we've been talking about AI for a really, really long time.
00:12:25.179 --> 00:12:28.379
And I feel like a lot of it's just like words.
00:12:28.779 --> 00:12:35.500
Um, but we are actually implementing some of this stuff now in our stuff.
00:12:35.579 --> 00:12:37.179
Um, same thing with the podcast.
00:12:37.259 --> 00:12:47.339
We're not like producing any content with AI, um, but we are able to now pull the transcripts a lot easier, uh, create blog posts from those transcripts, things like that to make the content go a little bit further.
00:12:47.659 --> 00:12:50.859
Um, Courtney, can you talk about in any any words?
00:12:50.939 --> 00:12:58.539
Um, and I know you probably can't say anything specifics, but are you starting to use any AI anywhere in any of your work?
00:12:58.699 --> 00:12:59.739
Do you think it's close?
00:12:59.899 --> 00:13:01.099
Do you think it's useful?
00:13:01.500 --> 00:13:12.859
Yeah, I think recently, um I'm not sure if it's just like an update to Claude or everybody suddenly saw this update and decided to jump in and start using it more.
00:13:13.099 --> 00:13:32.539
But um, I know even uh like welders and people not on the software team who at home are using AI to do things like um well, the guy I was just talking to the other day is creating an agent to help him shop the best price for golf clubs near him.
00:13:33.179 --> 00:13:40.299
And yeah, it's just like it seems like all these people I know that are not necessarily software nuts, because like my husband's a software nut.
00:13:40.539 --> 00:14:10.059
Um, a lot of folks around me are software nuts, so it's not uncommon for them to be jumping into these things because we're all kind of early adopters, but to talk to some of my other friends outside of that circle who are just uh, you know, I would I would categorize as lay people that don't necessarily interact with software on the day-to-day, who are starting to dabble in making their own applications or solving uh you know little specific day-to-day problems that I find fascinating.
00:14:10.299 --> 00:14:14.459
Um, I actually want it to automate my pantry, to be honest.
00:14:14.620 --> 00:14:24.139
I want to be able to give it a few weeks of information about like what I bought to put in my pantry and then start having it order from Amazon like by itself.
00:14:24.379 --> 00:14:25.979
But we can do that now.
00:14:26.139 --> 00:14:34.939
I don't know how long we've been able to do it and all of a sudden we just thought of doing it, but people around me are really using it now, and it's kind of nuts.
00:14:35.579 --> 00:14:47.339
No, I think uh yeah, there is something about Claude just got significantly better, like somewhat recently, because I feel like I've been kind of toying around with a lot of these, and a lot of the tools use Claude in the background, right?
00:14:47.419 --> 00:14:55.419
So even like base 44, or I don't know what Replit uses, but I I know base 44 uses anthropic in the background um or plod code.
00:14:55.659 --> 00:15:02.939
And so when Claude got significantly better, a lot of these tools got significantly better all at the same time.
00:15:03.179 --> 00:15:08.139
Um, and yeah, I'm finding like a lot of use cases that I tried last year that I did not get.
00:15:08.299 --> 00:15:12.059
Like I got down a rabbit hole enough to think it was gonna do something for me.
00:15:12.139 --> 00:15:19.659
And then once I realized how limited it was, I kind of, you know, abandoned it was like, oh man, I just spent all this time on something that doesn't quite look.
00:15:20.139 --> 00:15:25.819
Um, but some of that now I'm kind of glad I did spend that time because now I have a point of reference, right?
00:15:25.899 --> 00:15:48.059
And some of the things I tried last year that didn't quite make it are actually, you know, I'm getting a lot more useful output and I'm starting to build some systems for some things that like um I mean, a simple one for us is by like taking user case studies, uh, things that engineers really wouldn't have had the time to write up in the past.
00:15:48.299 --> 00:16:04.779
Um now I can just ask them to send me an audio file or an email or whatever they have time for, and however is the easiest way for them to communicate, they can just send that to me and then I take that and then wrap the transcript from it, and I can, you know, format it very quickly.
00:16:04.939 --> 00:16:06.299
Uh that sort of stuff.
00:16:06.459 --> 00:16:08.779
So it's definitely been a force multiplier.
00:16:09.099 --> 00:16:14.459
In the cases where I don't end up, you know, spending a lot of time and then getting nothing out of it and wasting my time.
00:16:14.699 --> 00:16:22.299
Uh like from a code writer's perspective, like what you were saying, uh, you know, the after-the-fact stuff from your work.
00:16:22.379 --> 00:16:39.659
Like our actual work is the podcasting, and then afterwards, transcribing stuff and you know, making posts and things that come after the fact can be a little bit easier to, I don't want to say automate away, but you can uh, like you said, it's a force multiplier.
00:16:39.739 --> 00:16:48.219
Like you can create a README for your code by giving it your code and saying generate this or put in the doc strings wherever they're supposed to go in this code.
00:16:48.379 --> 00:16:53.579
It's like little stuff that I know I'm I'm not good at writing code uh at all.
00:16:53.739 --> 00:16:57.739
And I'm really, really bad at documenting the code that I do write.
00:16:57.899 --> 00:17:01.179
So generating documentation, I think, around code is huge.
00:17:01.500 --> 00:17:08.059
Yeah, that's that's even as an ancillary use case, like that's still time saving and a lot more.
00:17:08.140 --> 00:17:10.220
I mean, more for some people than others, right?
00:17:10.539 --> 00:17:11.819
Uh yeah.
00:17:12.059 --> 00:17:14.059
And you still have to review what it does.
00:17:14.220 --> 00:17:17.660
You know, everybody keeps saying that, but I we cannot stress enough, right?
00:17:17.740 --> 00:17:23.980
Like never push if Claude Code writes code for you, you should never deploy that without a human looking at it, you know.
00:17:24.140 --> 00:17:30.859
And if you're like creating a README or a very important how-to document, you should probably be reviewing that and making sure it's correct.
00:17:31.180 --> 00:17:31.660
Yes.
00:17:31.980 --> 00:17:41.740
And then also certainly think about the security implications of what information you're putting into public uh or or non-private enterprise AI systems.
00:17:41.980 --> 00:17:45.819
Um and make sure not to expose API endpoints and things like that.
00:17:46.059 --> 00:17:51.340
Um, if your company has a policy, like look for that also.
00:17:51.500 --> 00:17:59.740
Like if you're trying to put company protected information into a, you know, into an AI, check and see if there's a policy surrounding that at your company.
00:17:59.820 --> 00:18:05.340
Because like my company has a policy um around what you're supposed to not give AI or give AI.
00:18:05.420 --> 00:18:14.140
And I'm pretty sure every company now, you know, that has information they want to protect has some uh policy for the employees, you know, sharing that information.
00:18:14.299 --> 00:18:15.900
So don't do it willy-nilly.
00:18:15.980 --> 00:18:16.940
You can get in trouble.
00:18:17.580 --> 00:18:18.060
Yeah.
00:18:18.380 --> 00:18:35.180
But I I don't know, I feel like and I don't know how you guys feel about this, but like at this point, if you're not at least looking into how AI applies to your position and what sort of you know tasks can start to be lever, you can start to leverage that.
00:18:35.420 --> 00:18:50.620
Um I'm pretty sure that you will be at a competitive disadvantage in the next year or two if you're not looking at, okay, it within the context of what my responsibilities are, how can I leverage AI for this?
00:18:51.740 --> 00:18:55.980
Um, with hopefully you in the in the loop with some oversight.
00:18:56.060 --> 00:19:04.380
I've also, you know, talked to some members of my team and the engineering team that they do code, you know, they're software engineers, so they're like, yeah, but do not trust this.
00:19:04.539 --> 00:19:07.340
Like you you better not this and reviewing this.
00:19:07.420 --> 00:19:10.220
And he's like, I'm a I'm afraid that not everybody is, right?
00:19:10.299 --> 00:19:11.980
They trust it a little too much.
00:19:12.299 --> 00:19:17.420
Um but I think it's uh ignore it at your peril at this point, right?
00:19:19.420 --> 00:19:22.700
Choose your choose the problem you want to solve today.
00:19:23.900 --> 00:19:29.580
Allie, last time I heard you're the one of the people I know that hasn't been messing with that stuff too much.
00:19:29.740 --> 00:19:30.940
Have you started?
00:19:31.900 --> 00:19:32.700
Um yeah.
00:19:32.860 --> 00:19:35.900
Um I'm using it for more personal stuff.
00:19:36.220 --> 00:19:45.340
Um there's you know some of the legal things that I have to deal with, like um, it actually helps me with some of that.
00:19:45.580 --> 00:19:53.740
Um not not that it replaces lawyers, but yeah, uh it does replace, you know, some of the documents that the that lawyers look at.
00:19:54.539 --> 00:19:59.900
Um and uh yeah, so I haven't been completely ignoring it.
00:20:00.060 --> 00:20:17.660
Um I haven't been using it for necessarily work, but um, yeah, I've started dabbling a little bit in um uh and and also creating it for I guess I do use it for work because I I do create some images um for OTCA to con sometimes.
00:20:17.980 --> 00:20:18.299
Okay.
00:20:18.380 --> 00:20:30.220
Yeah, I guess that's the music qualifies as not as much on creating you know documentation, but um, yeah, no, I've I've since messed with it.
00:20:31.420 --> 00:20:33.660
Somebody has to make the spicy memes.
00:20:33.900 --> 00:20:34.220
Yeah.
00:20:34.460 --> 00:20:35.500
It is a job.
00:20:36.380 --> 00:20:37.340
I finally did.
00:20:37.420 --> 00:20:40.299
Um, I had been thinking about this for a while.
00:20:40.539 --> 00:20:47.740
Uh but oftentimes when I try to download something new, I forget my iPhone, my iPod password, and then I just get frustrated and I stop doing it.
00:20:47.980 --> 00:20:55.420
Um, but based on your reference, maybe last week, I finally downloaded Whisper keyboard and holy crap, I'm very proud.
00:20:57.100 --> 00:21:00.060
I'm still getting used to remembering to use it all the time though.
00:21:00.220 --> 00:21:07.740
Um, because I find myself like writing something, and then I have, you know, go back to fix a typo that I just made, and then I go back to change the punctuation.
00:21:07.820 --> 00:21:10.779
And then I was like, wait a minute, why didn't I just whisper this?
00:21:10.860 --> 00:21:29.259
Like, um, so if you don't know, Whisper keyboard is an application, one of a few, um, or maybe one of many that uses OpenAI's Whisper API, which is a uh speech to text API, but it is built to format the text properly.
00:21:29.420 --> 00:21:42.380
So if you're, you know, we've all had the built-in dictation in like, you know, your products, your phone or whatever, but you end up with kind of you know a jumble at the end of that, a lot of words, and then you have to go.
00:21:42.779 --> 00:21:45.100
I used to not I used to just give up using it.
00:21:45.340 --> 00:21:45.580
Exactly.
00:21:46.779 --> 00:21:46.860
Yeah.
00:21:52.460 --> 00:22:13.740
But this really like it even in a situation like this, right, where I like in the middle of the sentence, either end up saying a bunch of stuff that doesn't matter, or I changed my mind, the transcription actually captures that and it just removes all that stuff that I kind of stuttered in the middle or changed my mind on the point that I was trying to make, it gets that.
00:22:13.900 --> 00:22:16.700
So it really is extremely time-saving.
00:22:16.940 --> 00:22:34.860
Um so if anybody is thinking of like, hey, what's what's a small productivity gain that I could make with AI today uh that isn't too controversial or something that you have to test out too much, um, I would highly recommend giving that a shot, especially if you write a lot of emails.
00:22:35.019 --> 00:22:55.259
I've actually even found it like I can respond more to stuff from my phone now than I would in the past, um, just because it's so efficient to be able to type, so like I can respond to teams' messages and things that I've would normally not do for my phone because they require a little more punctuation and just making sure that you kind of have the right thing in there.
00:22:55.660 --> 00:23:01.340
You can talk at like 200 words per minute, but what's the fastest you can type?
00:23:01.980 --> 00:23:07.660
Because on a good day I type maybe 35 words per minute.
00:23:07.820 --> 00:23:11.019
Because you gotta figure in the delete like you said, delete, delete, delete, delete.
00:23:11.100 --> 00:23:12.220
Oops, didn't want to comma there.
00:23:12.299 --> 00:23:13.420
Delete, delete, delete, delete.
00:23:13.740 --> 00:23:14.140
Yeah.
00:23:14.460 --> 00:23:19.660
So uh we have some plans this year um for shows for events.
00:23:19.740 --> 00:23:21.259
We talked about OT SlaterCon.
00:23:21.580 --> 00:23:22.700
Automate this year.
00:23:22.860 --> 00:23:23.740
Are we all going?
00:23:23.980 --> 00:23:24.860
I don't think we know this.
00:23:24.940 --> 00:23:30.860
We haven't really discussed it, have we I mean I think just the assumption is that we're always there.
00:23:31.259 --> 00:23:34.220
I'm certainly gonna be there when tech is exhibiting.
00:23:34.460 --> 00:23:37.100
Uh what about you guys, Allie and Courtney?
00:23:37.740 --> 00:23:44.620
Yes I think so I depend my now same.
00:23:45.180 --> 00:24:01.180
I don't know if I will walk it on behalf of relativity or if I will just take PTO and go as an automation lady but uh I feel that one way or another it's imp it's like the one show where I see basically everybody.
00:24:01.420 --> 00:24:03.340
So I try to make sure I get there every year.
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