Tommy Truong: [00:00:00] So, Anne, it's, it's, it's a saying. You're in the belly of the beast. You're in New York, you live there. What's, what's going on over there? Uh, what's happening?
Anne Forkutza: Um, oh yeah. New York is so boring. What are you talking about? Um, okay, well, offline, I mean, we were just hearing about the, the news about, you know, these dispensaries, like potentially having. To move, um, due to being too close to schools. Um, that is, I've, I've never, I mean, yeah, both you and I have probably have been in the industry for a while.
I've been in the industry nearly for 10 years, and I've never. Seen anything like this before happen in any market. So curious to see how it all turns out. Um, in the meantime though, in New York, um, so as you know, um, I am with BioTrack now and BioTrack is the official New York Sea to sale track and trace system.
Um, so we are. [00:01:00] Right in the process of rolling out, um, the seed to sale system and OCM, the Office of Cannabis Management, they've decided to take, um, a staged approach. Um, so phase one of it is the big milestone. August 1st, um, all cultivators. Um, ros as well as labs and micro businesses, they should be integrated into the seed to sale system.
So what that means as a licensee is that by August 1st, you should be using a software solution system that is already fully integrated into BioTrack seed to sale. Um, we just started publishing a list of. Um, official third party software vendors that have passed their integration validation test. So that can be found on the OCMC to sale page or the official BioTrack, um, New York page too.
And then [00:02:00] we have, you know, more and more software vendors that are getting validated, um, every day. Um, so be sure to keep your eye on that. Um, so that's the first milestone though. And then we've got September and October. So September will be the manufacturers and processors they need to be integrated into BioTrack.
And finally, October 1st, um, will be the retailers that will need to be fully integrated into BioTrack, meaning that whatever point of sale system they're using will need to be successfully integrated.
Tommy Truong: So is there, is there, can you walk me through if I was a, cannabis manufacturer, grower, or even retailer before. date reaches what should I be doing? How do I set myself up for success?
Anne Forkutza: Yeah, I mean, that is a really good question. So in terms of the actual workflows and processes, the details will be [00:03:00] specific to. How your software vendor, um, has chosen to do the integration? So what we have been doing at BioTrack, so at BioTrack we have the seat to sales side. We also have our commercial B2B side of things.
So what we've been doing and how we've been supporting our clients is. Hosting daily webinars. We have support materials. We've been checking in with people. And really the, the main difference is that there's just like some processes and flows where it's like, okay, you used to create invoices and manifest this way.
Now those actions will need to be tracked in the seed to sale system. Um, and now with this integration, the flow, um, and. The UI might look a bit different. So it's really just partnering with whoever your software vendor is and making sure that you're feeling supported. Um, it's, you know, it's, it's going to be a bit of a [00:04:00] process just getting used to the, the, the idea where all your plants will need to be tracked, um, and tagged.
And then every time a conversion happens with. A plant, whether you're breaking that down into pre-rolls or pre-packs, you know, that will, you know, that action needs to be tracked. And then every time product moves from point A to point B, that will need to be tracked, um, using, uh, unique 16 digit, uh, digital ID tags.
Um, not, it's not necessarily a physical tag, it's just like a digital 16 digit number that's unique. And so every time there's an action that happens every time there's movement in the product. Um, that all is tracked and trace using these unique, um, 16 digit digital ID tags.
Tommy Truong: And they're getting, uh, the unique 16 digit ID tags from their existing vendor, I'm assuming.
Anne Forkutza: Yeah, so they, there's going to be, um, I guess think of it as, so we, we [00:05:00] do have a BioTrack, um, digital tagging portal and so that will be centralized. Um, and. In terms of the integration, one of the integration points is that the software vendors will, that are integrated, they will be able to pull those unique digital ID tags into the system.
So whenever you're doing an action in your software system, um, that can be associated with the appropriate, unique digital ID tag.
Tommy Truong: When can or when should I, I guess the question would be when can somebody start leveraging the 16 digit ID tags? Is it on the day that it goes live or is it bef? Can you do it before?
Anne Forkutza: Yeah, so last week actually, there were a bunch of emails that were sent, um, by the OCM as well as BioTrack, um, with your instructions on how to log in to the digital tagging system. Um, you need to, there are some steps to reset your [00:06:00] password. Um, we have heard feedback from the industry that, you know sometimes, so the, the list of the email addresses that's associated with your license number sometimes.
It might have been the email address of your lawyer or your consultant that you may have used when applying and getting a license, and maybe that contact information has not been updated yet. Um, so we've heard feedback that, you know, may have gone, you know, sent, accidentally sent to a consultant and lawyer instead of the actual licensee.
Um, so OCM also has steps on how to update your contact information. There. Um, and you know, we, we've just been like working through it. Um, but there's been instructions, there's been emails that have gone out, instructions on how to, um, look and see how many tags you have, how to log in, um, how to purchase more tags.
[00:07:00] Um, OCM did a lot, um, a, a grouping of tags depending on your license type. So you should have, um, some digital tag credits to use and be on your way, uh, before needing to purchase some more.
Tommy Truong: Oh, okay. I
Anne Forkutza: Yeah. Yeah. So that is on the OCM website as well too. And I believe like cultivators, they get, um, they get 3,400 tags.
Let me just check really quick. Yeah. Oh, so 2,500 tags per license. Cultivator, 750 tags per license. Per license. Processor 750 for micro businesses, 750 for distributors. And 3,250 for each ro. So you do have the tag credits and that it will already be in, um, the digital tag system.
Tommy Truong: Mm-hmm. And you, if you need more tags, you buy from the OCM.
Anne Forkutza: Um, you can buy it [00:08:00] just through that digital tagging system.
Tommy Truong: Okay.
Anne Forkutza: Yeah. Yeah. So it's pretty, yeah, it's pretty straightforward. Um, again, we also have. Help documentation on our official New York BioTrack page on how to purchase more tags, how to view your tag count, how to log into the system, reset your password, and if there's any issues when it comes to logins, um, or, um, getting accessing your system.
Um, we do have our BioTrack help email address too, that you can contact.
Tommy Truong: What are, what are the few things that business owners should get right when implementing this new system? I always think about the 80 20 rule IE right?
Anne Forkutza: Yep.
Tommy Truong: I am sure that as a, as a business owner, um, you probably have a lot of things on your plate.
Anne Forkutza: Mm-hmm.
Tommy Truong: this is one project that has just fell on your lab, which, you know, you should have known about this, but here, here we are, you know, [00:09:00] how
Anne Forkutza: of like writing a thesis. It's like, you know, you know, your, your essay is due in like, you know, a year and you've got your thesis statement, but then it's like you write your paper the night before.
Tommy Truong: Here we are. Procrastination, right?
Anne Forkutza: Exactly. Well, I mean, that being said, we have been working closely, um, with some cultivators and processors who are already revamping their SOPs. Um, so, you know, I would say the best advice that I would give is that seed to sale is coming. It's here, it's not going away. Um, I know that people. You know, maybe we're like, is it really here?
Like no, it's definitely here. And in terms of advice, like my number one advice is related to what you said. It's like you can't do it alone. Like as an owner operator, you're doing all these other things, you're running your business. So you need your team with you. You need like the people who are going to be listening in [00:10:00] on the training webinars, um, going through the support materials with your software vendor, like make sure you have your team that's involved, who's going to be pushing the buttons and logging into the system, ordering your product, um, getting the product shipped out all your day-to-day team members.
Make sure that they are participating at the very beginning. Um, because you know, like I know that owners, they're like listening in on the webinars when they're, you know, driving to do a delivery, right? Like, so it's trying to multitask. You can't do it alone. Like that would be my number one advice. Um, and then number two, when if, you know, some people are still scouting out, like which software vendor to go with, um, I would recommend that, you know, references are really important.
So whoever you end up picking for your software vendor. Um, make sure that they have had experience integrating with the BioTrack seed to sale system. [00:11:00] And if they have, you know, just ask for some references, you know, ask for some references in New Mexico, in Florida, in Connecticut, um, in any other BioTrack market.
Um, and, and see how that integration is because not all integrations are created equal. Um, we have some really good like software partners that, you know, some of them haven't even. Integrated into BioTrack before, and they were one of the first ones to pass the validation test. So it's, it's been we're, we're here to help where we can.
Um, and other advice from a retailer standpoint, I would say my number one advice is make sure that you're checking, it sounds really straightforward, but make sure that. The cases like crack open your case at the point of inventory, make sure the thing that you ordered is actually the thing you ordered at the point of receiving your inventory.
And not after the fact. Because [00:12:00] what you know, and I understand this, a lot of folks are doing, it's, it's receiving day. You've got a lineup around the block of deliveries. You're just checking the manifest, um, counting the cases. And saying, okay, but it's not until you're bringing items to the vault and you're opening that case up.
Maybe there's mislabeled products. Maybe it's the wrong skew or the wrong inventory. Once and currently right now, what you can do is that you might be able to. Like log into your point of sale system, change that manually in the backend and fix everything. You will not be able to do that. Once C to sale is fully integrated.
Um, it's going like now. If you are a retailer, then you are now responsible for, I mean, if a label. If something is mislabeled, it could be potentially non-compliant product, and all of a sudden that becomes the retailer's problem. Whereas if you catch it at the point of receiving, you have the ability to [00:13:00] return it back to the delivery driver and get it sorted, um, right then and there versus after the fact.
Tommy Truong: That's a really good point because I'm just thinking through about receiving the wrong inventory. So you've purchased and, and it could be that you purchase, um, a packet of say, 50 milligrams. receive a hundred milligrams or whatever, you know, same thing, just different size, right?
Anne Forkutza: mistakes happen. Like it's, you know, yeah. But then it, then it becomes the retailer's problem versus it being able to solve it like right at that specific point. Then, you know, like some products are mislabeled or maybe they, it's a sample pack and it was accidentally thrown in there.
Um, and now you're potentially like selling non-compliant mislabeled product and you, you work so hard to keep that license and, and have that retail license, so you don't want to put that at [00:14:00] risk.
Tommy Truong: Maybe this is too detailed and let me know if it is. What if that, what if that happens and when that happens, what is, what should a retailer do?
Anne Forkutza: So again, the actual flow, um, will depend on how your software vendor has interpreted it. But on the BioTrack and you know, the all leaves like point of sale side. It's like we do have a very straightforward void system, and you can adjust out that inventory and what it actually is, and that action gets sent back to the seat to sale system.
So every inventory adjustment, um, every manifest, um, that all needs to go through the seat to sale system. Every single sale that's being processed that goes, is tracked in the seed to sale system. The good news for retailers is that once. You know, see to sale levels out. And once we get past, you know, the, the, you know, training wheels period, [00:15:00] let's say the goal is, um, ideally, is to not have those weekly reports that need to be manually submitted to the OCM.
Um, because the goal is that all the information that is being automatically sent up to the system through these integrations, um, that already has all the information in that weekly report. So hopefully we're getting rid of that report.
Tommy Truong: Yeah,
Anne Forkutza: That's the goal anyways.
Tommy Truong: some pretty big changes. Is there anything else that you think a business owner in our industry should really consider as we're rolling out? Um.
Anne Forkutza: Um, I mean, I would say, you know, like change is always hard, right? Like you can't do it alone. Um, definitely talk to. Your peers, even your competitors, um, reach out to BioTrack if you need any help on the software side, I would say that, you know, sometimes it can [00:16:00] be confusing whether or not, okay, do I reach out to BioTrack for this?
Do I reach out to OCM for this? Um, and, you know, just reach out to somebody and if it's, if we cAnneot help you, like we can point you in the right direction of the. Who can. So I would, I would also say like, do your homework, right? There are a lot of resources out there. I know it can be overwhelming when you get like, peppered with a bunch of emails from BioTrack, but like read through all the links, actually go through the recordings, read the documentation.
Um, and after you are armed with that information and you still have questions, you know, then reach out. It's, I I get it. There can, there's a lot of information out there right now. Um, but go through that information first. Um, and then, you know, and if you still have questions, we, we are here to help. But my, I would also say like, do your homework.
You gotta do [00:17:00] your part too,
Tommy Truong: Yeah. you can, you know, now nowadays with the advent of LLM models, you can probably upload a lot of resources and leverage an LLM to consult you on what, what the actual rules are and, um, what is it that you really need to do.
Anne Forkutza: Right. Well also, I mean, like, you know, the other day we were talking about like you're working on some, some really cutting edge and amazing like training, you know, training technology too. So I am, I'm hoping for the day when maybe, you know, the next time we need to train people on seat to sail, that we could use some of these, uh, training programs that.
That will make it easier for people to, to get trained and, um, have, have a smooth training and, and integration.
Tommy Truong: You've been, you've been in this industry for a while. What are your thoughts on the status of where people are in our industry when incorporating in new technologies like AI to [00:18:00] scale their existing workflows?
Anne Forkutza: I am very excited about this concept and. I think that, you know, people like you and me who choose to be in such a crazy, um, tumultuous industry like the cannabis industry, you know, I think a part of anyone who's in this industry has like something inside them that, that wants to innovate and push something forward and is perhaps okay with a certain level of uncertainty.
And there's opportunities to make things better. Like I, I think that that's in the cannabis industry. And I think with ai, um, being, you know, an emerging com, like an emerging like sub-industry of the tech industry, let's say, like having AI in a still emerging industry, like the cannabis industry is really exciting to [00:19:00] me.
Um, because again, like you know, no one. No one can say, oh, this is the best, like there's, you know, maybe guidelines on like prompting and all that in ai, but no one has like invented best practices of how to utilize AI yet. And, you know, best practices are still being evolved in the cannabis industry. So, but to have like the two of them together, like, I'm really excited about that opportunity.
Tommy Truong: Yeah, it's huge. I, I think it's completely underutilized right now from a personal perspective and then from a ag agent workflow pers perspective in our industry, there's a lot there. I, I. Every time I talk to a business owner in our industry, I'm always curious, okay, how are you leveraging this in your personal life?
Right? When you're solving a problem, when you're learning, do you automatically think, Hey, I can supercharge, uh,
Anne Forkutza: I do. I do. It has, it has helped me so much. So I am, you [00:20:00] know, like. Uh, I know English obviously, but English is my second language technically. Um, I am, I'm a little bit dyslexic too, so when it came to writing emails, writing a LinkedIn post, even writing an Instagram post, like I would just always be overthinking it.
It would just take me so much longer to write something that should, should take me 10 minutes, um, because the words get jumbled up in my head sometimes. So. Having even a basic prompt to help write my captions like that, that on the like basic level has helped me so much. Um, and even just like as. A point of reference.
Right. And it's, I, I don't, I don't know why people copy and paste things like, as is like from chat GBT, you always wAnnea put your own component on it. But having it get you like 75, 80% there, like, [00:21:00] has been really helpful for people like me who, who like writing is not, has not never been my strength. And you wAnnea play to your strengths and.
The things that you're not as good at. Like, you, you want tools to do that. And at the most basic level, I use, I use it for writing captions
Tommy Truong: Oh, it's still, that's amazing 'cause you do that a lot online and that's really help you incorporate in something that you, you do existingly. You've injected in LLM model, choose to smoothen up the process.
Anne Forkutza: yeah. So, uh, I am, I am happy for that. It's made me more efficient. And then also just like in terms of. Checking your work or I just feel like it's, it's another, it's just another tool. It's another sounding board, right? Like what you do with the output of that information is still your decision. Like there's still the level of strategy that, um, that you need.
But now I feel that [00:22:00] with, with AI and chat GBT specifically helping me with the more like. Administrative stuff. It just frees up my mind to be more strategic and level up, um, my own skillset. So I really
Tommy Truong: favorite model right now?
Anne Forkutza: It is, it is, it's the easiest one. Um, I do have, you know, I, I had like some other ones downloaded.
There was one, it's like a Google, it was almost like, you know, instead of. Yes. No, not Gemini. There was some I'll, I'll find, but it was, it was more about like just like another web browser that was
Tommy Truong: A perplexity.
Anne Forkutza: Yes, that one. That was
Tommy Truong: Perplexity is amazing. Well, I, I like Perplexities. You know, they have the deep research, so the problems with these models are, and, and I'll, I'll walk you through some of the problems that I'm seeing. I, I think models right now, they're the, the [00:23:00] rate of acceleration is mind blowing to me. It's so mind blowing to me how fast things. Improve
Anne Forkutza: Yep.
Tommy Truong: and I am plugged in into this world and I'm getting overwhelmed with the amount of improvements that are happening. It's breakthroughs are happening on a daily basis, right? Every time a new model comes out, it's the best model in the world.
Anne Forkutza: Yeah, it's insane. Did you, I read somewhere though that people should stop saying like typing, like, thank you and please, or something because it's like taking up too much, um, processing power.
Tommy Truong: Yeah.
Anne Forkutza: people just stop saying thank you and please it would just like save so much in like processing
Tommy Truong: I, I think that if you are talking about prompting and you're going online and looking at the best prompting models, the, the best way to to understand prompting is actually to use, to prompt. So you spent a day creating, um, if you incorporated a model in, [00:24:00] into your, into your process and you spent the entire day working with the model, you'll understand.
The limitations of your existing prompt
Anne Forkutza: Mm-hmm.
Tommy Truong: that that's what I found. So in initially, my favorite motto is Claude. I love Claude Claude's,
Anne Forkutza: Yeah, I haven't used it yet. Okay.
Tommy Truong: It's the best writing model, it's the best code review model in my opinion. Claude has deep research now, so now I have subscriptions for so many different models and I'm like, should I get rid of my perplexity?
Because Claude, it's perplexity is better for deep research. But, so I use Claude and I was using it to create, using it to research. Uh. I guess, uh, different compliance laws,
Anne Forkutza: Okay.
Tommy Truong: And initially when I was using Claude, I found that they innately, they give you above and beyond what's required. [00:25:00] Model for whatever reason, it'll give you more than what the actual laws are.
And as you know, as you start using you, you figure out kind of what the tendencies of the models are, and it, it, you, it changes the way that you prompt the model and you have to preemptively tell the model, I don't want this, I want this.
Anne Forkutza: Mm-hmm.
Tommy Truong: And you'll see kind of, um, how much better it is after, you
Anne Forkutza: And it remembers it. Yeah.
Tommy Truong: remember it. You, there are things that you can do that can set the model. Uh, I'm a little bit lazy on that, but, uh, but you get better, right? You understand the limitations. 'cause oftentimes, I think models are probably 80% right? And if you take it for face value, you're screwed. So there's, there's an element of you, you do have to review what it's spitting out.
And it's, it's so important to do that and not take it for face value. But, uh, it's helped me tremendously. I was going through a tax audit,
Anne Forkutza: Uh,
Tommy Truong: right? And I'll tell you this story. [00:26:00] Uh, I sold my condo in, uh, 2021.
Anne Forkutza: Mm-hmm.
Tommy Truong: a presale. We decided there was a huge delay in. Build and, uh, we didn't want to wait until it built, so I sold it to move into Brentwood.
And when I sold it, I didn't sell, I didn't collect GST
Anne Forkutza: Mm-hmm.
Tommy Truong: and that CRA came back GST for uh, uh.
Anne Forkutza: listening.
Tommy Truong: that don't know. It's, uh, general service acts. When you sell something, you have to collect and remit it to the government. It's, it's kind of like a value added tax in, in Europe, I didn't collect GST 'cause I'm like, I don't need to.
I'm not a builder. CRA came back and said, Hey, you owe us 20 something thousand dollars because you didn't collect GST on this. And I was like, this is bullshit. I, I was gonna live in it. I didn't live in it 'cause of this delay during the pandemic. And I leveraged Claude. To look into case law
Anne Forkutza: Wow.
Tommy Truong: out what my, what the [00:27:00] best position is,
Anne Forkutza: Wow.
Tommy Truong: objected to this and I wouldn't have been able to do that because I would have to go in and read the case law myself.
So it is extremely powerful for certain functions in what you do, and, and I think that. As we go on and as, as the LLM models improve, you're gonna see consultants probably lose a lot of footing in, in where we're heading. Yeah.
Anne Forkutza: Well, good thing we're not in the consulting business, Tommy.
Tommy Truong: Yeah. So do you, you know, you're in a unique. I, I think you're, you're, you're in a really, really unique position in our industry. 'cause you've worked for quite a few technology platforms and you've helped a lot of businesses since the, the infancy of, of, of the cannabis industry. Where do you see ai? Where do you see the, [00:28:00] the, the, the biggest opportunities for
Anne Forkutza: Hmm.
Tommy Truong: as we're
Anne Forkutza: On the AI side? Yeah.
Tommy Truong: uh, practice?
Anne Forkutza: Yeah, that's a really good question. Well, I've already seen AI specific tech companies coming up in the cannabis space. The most common scenario I see is for like. Either rating and reviews or like a virtual budtender. Like imagine just like a chat bot, right? But just some, you know, have having, like let's say you are on a dispensary's website and you could have a virtual budtender come up and say like, oh, can I help you look for some product?
And it can ask you a few questions. And based on that, the search results, it can narrow. That down. So really mimicking a very similar experience you might have in store, um, but using AI to do that. So I've seen several renditions of those and just like [00:29:00] very, you know, like very specific, um, companies that they just focus on the AI component.
Um, however, I think where it's trending is. You know, just a lot of the tech companies, you know, even, you know, companies like Kaya using, utilizing AI not only to, um, build and optimize their core, you know, software component and just be more efficient when, when developing new features, when doing regression testing, um, just, you know, the day-to-day operational efficiencies.
But I do see. Software companies incorporating AI and having AI specific features like moving forward, um, and having that power, their recommendation engine, powering reviews, um, things that maybe historically would've taken a long time to, to collect and utilize. Um, but just having, having [00:30:00] ai, um, be part of the feature set moving forward.
Tommy Truong: Yeah. It's, it's, I think technology now is, has been democratized and it's, it's crazy where it doesn't really matter how big or small you are, you have access to the same LLM models. And which is, it's, it's, it's such a wonderful place to live in. And if you wanted to create a digital bud, tender yourself as a dispensary, you can.
Anne Forkutza: Yeah.
Tommy Truong: You can totally do that. You set up a right system. You make sure that you have the right information from your suppliers. You kind of optimize what's required when you intake inventory, and you can train your, your model to provide, uh, your customers with the right data set of information, and then leverage that to train your budtenders as well, which is a, which is amazing.
But the really great thing is, and what you've mentioned is software companies now can embed that into their platform. So [00:31:00] that you don't have to do that work and that, that's where I think software companies can come in is, hey, we can build this in our existing infrastructure to save you the work, but also to streamline a lot of the processes you know that you would probably have to do yourself.
Anne Forkutza: Yeah, exactly. And even like on the sales side, right? And the business development side, there's AI operational efficiencies that you can use to, to, to. Do your outreach. Right? So, you know, instead of just like cold calling like one person at a time or emailing pers like one person at a time, um, there's, you can utilize AI and help, you know, blast that, blast out, um, your calling list in a matter of minutes or
Tommy Truong: Yeah. Yeah. so much. If I was a business owner and I should ask you this
Anne Forkutza: And you are, aren't, aren't. You are a business owner.
Tommy Truong: sorry. I am. [00:32:00] How would you think, and even outside of platforms, right? If I was thinking about. I mean, I should say, if I was, we are right now incorporating in AgTech workflows in, in our process. What I find is the best way to do that is if you look at, do you, if you look at the process of. Of any process in the business. For example, what is, um, what is the actual step by step process for training employees or whatever it is? What are the major processes in your business for inventory intake, for example, et cetera. Business owners, if you're incorporating an AI and you listen to this and you, and you want to, uh, leverage what's available to you, I think the first step is, do you understand the step by step process of your process
Anne Forkutza: Mm-hmm. Yeah.
Tommy Truong: this needs to happen. This needs to happen, this needs to happen. And then finally [00:33:00] I get this outcome, this output at the end, right?
Anne Forkutza: Yeah, exactly. I mean, even so like, I know we're just brainstorming now. I mean, we were talking about seed to sale earlier. So if, you know, let's say if I were a cultivator or a processor, I could be like, you know, I am a cultivator, I'm a processor. I'll upload. Here are my current SOPs. Um, what are some potential gaps or what are some modifications in my SOPs now that, you know, seed to sale is rolling out in New York, and provide some reference links on what the criteria is.
Um, for the seat to sale rollout and see what happens and see what spits out. And again, you know, don't take it as face value like you mentioned before, but at least it's a starting point too. I've, I've done things where I've put out proposals and I'll have my draft proposal and I'll, I'll put it, like, I'll run it through an AI engine that says, you know.
Is this missing [00:34:00] anything? Or like, this is a proposal written in the tone of and for ksa, and we have, you know, this is for such and such group. Um, what are some areas that might be missing? Um, what are some points that should be highlighted? And it just, it helps you audit your work too. Um, and we talked about prompting earlier.
I've, I've learned, like I, I learned where I would put the prompt in. But then after that, I would ask ChatGPT, rewrite my prompt to be like more prompt, friendly, and it'll actually rewrite the prompt for you, you know, like you said earlier. So it's constantly learning.
Tommy Truong: Don't you find that prompting is, is really helped me be a lot more clear as
Anne Forkutza: Yes,
Tommy Truong: communicator. Because at the end, at the end of the day, if you think about it, if you're giving, if you're providing instruction, say to an intern,
Anne Forkutza: Yeah.
Tommy Truong: it's not gonna be a one sentence instruction. You're like, okay, figure it out.
Right. You have to be [00:35:00] actually pretty much meticulous in terms of what you want. You gotta be very clear into that in terms of what you want and what outcomes you're looking for.
Anne Forkutza: Yeah, it has definitely helped me. I don't know if it's helped me in day to day yet, but it has definitely helped me be more aware to be more clear and crisp with my instruction and not add all the emotional fluff to it.
Tommy Truong: There's a lot of research online. Uh, if you, if you're listening right now and you're, and you want to actually get into this industry and really dive deeper. Let me know. Reach out. There's a lot of resources online that, that can help with that.
It's crazy. So all of these models, guys go out there and, and you know, open AI, find that's the OG of the world, but uh, you know, there's the Grok, you know, download Grok. It's free. Check it out.
Anne Forkutza: I will, I'm, you convinced me, Tommy. I will download Grok.
I'll do it after our, uh, after this session right now.
Tommy Truong: Um, [00:36:00] anything else? And I know that, um. You know, you're in New York right now. There's a lot of stuff happening in New Yorker now. You're probably extremely busy roll, rolling things out. Um, any, anything that we didn't cover regarding the C to sale launch that you want our listeners to know?
Anne Forkutza: I mean, I'll, I'll just say it again. It's like, make sure that you have all your team members involved. Um, and just like mentally prepare yourself. It's like change is always hard. The next, you know, three months will be. A little bit scary. It'll be a little bit rocky, but you don't need to do it alone. Um, we have our resources.
Um, there is, you know, we have all the resources posted on our official BioTrack New York page, um, along with our New York help, um, BioTrack email, um, and resources from the OCM. So definitely utilize the resources. Do your homework, go through the content. [00:37:00] And questions are of course going to come up and we are here to help, which is, you know, and also thank you Tommy, for just being a resource for the industry and for the community and giving me a platform to share some of this information because there's, there's a lot of, you know, there's a lot of feelings.
Um, there's a lot of information out there, maybe interpretation of information that's also out there. So it. It's great for you to, um, provide a platform to, to set the record straight on, on something. So thank you for that.
Tommy Truong: before I let you go, how can our listeners find you? I'm sure they, I'm sure they can, and they probably all know you.
Anne Forkutza: They can find me. Well, LinkedIn um, is one of the main ones. So Anne for Kza on LinkedIn and Annabella Forkutza on Instagram. Those
Tommy Truong: Anneabell,
Anne Forkutza: one. Yeah, Anneabell fora.
Tommy Truong: is that your full name?
Anne Forkutza: It isn't, but, Anne [00:38:00] Forkutza was taken on Instagram. I don't know by who, but it was taken.
Tommy Truong: I love it. Anne, thank you so much for joining me today.
Anne Forkutza: Thank you, Tommy. It's been fun. And I learned so much from you too. And I'm gonna download Grok right after this.
Tommy Truong: Yeah, download Rock. It's Rocks. Rock's. Good.
Anne Forkutza: Okay. Thank you so much.
Outro: Thanks for listening to the Kaya Cast Podcast. We hope you enjoyed the show. Don't forget to subscribe to our podcast in your favorite podcast or visit our website.
