Your AI Agent Has No Nervous System — Matt Gibiec, Dynatrace

Well, it's 11:10, so it's Well, it's 11:10, so it's officially time officially time officially time to start our to start our to start our session. Thank you very much to session. Thank you very much to session. Thank you very much to everyone who joined. everyone who joined. everyone who joined. I know this is the last I know this is the last I know this is the last day of the conference, day of the conference, day of the conference, so I really appreciate so I really appreciate so I really appreciate you taking the time to you taking the time to you taking the time to come on Thursday and come on Thursday and come on Thursday and listen to our topic. listen to our topic. listen to our topic. My name is Matt My name is Matt My name is Matt Gibbits, and I'm the Gibbits, and I'm the Gibbits, and I'm the Regional Regional Regional Director of Director of Director of AI-native Solutions at AI-native Solutions at AI-native Solutions at Dynatrace. Dynatrace. Dynatrace. Raise your hands, who Raise your hands, who Raise your hands, who knows what Dynatrace is? knows what Dynatrace is? Okay, I see a few Okay, I see a few hands, great. We are a hands, great. We are a surveillance platform, an AI-powered platform AI-powered platform , but , but , but we won't we won't we won't talk much about talk much about talk much about Dynatrace today. Because the topic Dynatrace today. Because the topic Dynatrace today. Because the topic we want we want we want to discuss today is to discuss today is to discuss today is a little different. And the topic a little different. And the topic a little different. And the topic I want to address, I want to address, I want to address, as you can see from the title of as you can see from the title of as you can see from the title of the session, is that your the session, is that your the session, is that your AI agent doesn't have a AI agent doesn't have a AI agent doesn't have a nervous system. It's nervous system. It's nervous system. It's probably an intriguing probably an intriguing probably an intriguing name, and you're thinking: name, and you're thinking: name, and you're thinking: well, of course he well, of course he well, of course he doesn't have a nervous doesn't have a nervous doesn't have a nervous system, he's not system, he's not system, he's not human. But if you human. But if you human. But if you really think really think really think about how about how about how AI agents are used today AI agents are used today , we , we , we use them use them use them to replace to replace to replace tasks that were previously tasks that were previously tasks that were previously performed by humans. And performed by humans. And performed by humans. And often for this we often for this we often for this we need logical need logical need logical thinking. And when we thinking. And when we thinking. And when we really think really think really think about it, if we about it, if we about it, if we need thinking, need thinking, need thinking, we need these we need these we need these agents to be able to not agents to be able to not agents to be able to not necessarily necessarily necessarily behave like humans, behave like humans, behave like humans, but have enough but have enough but have enough input to input to input to understand what they understand what they understand what they need to do to need to do to need to do to help our help our help our organization, rather than organization, rather than organization, rather than just just just automate something that's automate something that's automate something that's not working not working not working well right now. So well right now. So , having said that, let's take a , having said that, let's take a closer look.

closer look. Please raise your Please raise your hands, how many hands, how many hands, how many developers do I have developers do I have developers do I have in the room today? in the room today? Okay, great. Are there any Okay, great. Are there any dark circles? OK. And dark circles? OK. And dark circles? OK. And okay, the last okay, the last okay, the last question might be question might be question might be a little trickier. Is a little trickier. Is a little trickier. Is there an engineering manager here there an engineering manager here there an engineering manager here ? ? ? Which of you would call Which of you would call Which of you would call yourself an yourself an yourself an engineering manager? Okay, engineering manager? Okay, engineering manager? Okay, perfect. I have one. perfect. I have one. perfect. I have one. So, if you So, if you So, if you look at these look at these look at these questions, we won't questions, we won't questions, we won't go through all of go through all of go through all of them. We them. We them. We only have 18 minutes left. But only have 18 minutes left. But only have 18 minutes left. But if you look at if you look at if you look at these questions, have any these questions, have any these questions, have any of you ever of you ever of you ever asked yourself or asked yourself or asked yourself or heard the question: Why am I heard the question: Why am I heard the question: Why am I stuck in a loop with stuck in a loop with stuck in a loop with my agent? my agent? How many of you How many of you have used, have used, have used, for example, Claude and it for example, Claude and it for example, Claude and it just keeps just keeps just keeps repeating the same repeating the same repeating the same thing, wasting thing, wasting thing, wasting tokens and not providing the tokens and not providing the tokens and not providing the desired result? Has desired result? Has anyone encountered this ? Everyone has encountered it, ? Everyone has encountered it, ? Everyone has encountered it, right? Now, if you right? Now, if you right? Now, if you look at it from a look at it from a look at it from a human perspective: human perspective: human perspective: if you, as a human, if you, as a human, if you, as a human, conduct conduct conduct research and research and research and get results get results that you don't that you don't that you don't like, you like, you like, you change your approach. change your approach. change your approach. You approach this You approach this You approach this from a different angle. But from a different angle. But from a different angle. But our modern AI our modern AI agents are not yet agents are not yet agents are not yet smart enough smart enough smart enough for this. Okay, for this. Okay, for this. Okay, let's move on to let's move on to let's move on to another question.

another question. another question. I like the fact that there is a I like the fact that there is a team leader in the middle. team leader in the middle. How do I solve How do I solve How do I solve operational problems? Are operational problems? Are operational problems? Are you already thinking about it you already thinking about it you already thinking about it today, or are you today, or are you today, or are you still in the hype stage: still in the hype stage: still in the hype stage: "let's just "let's just "let's just get everything rolling, let's get everything rolling, let's get everything rolling, let's just launch it, and we'll just launch it, and we'll figure out everything else later" ? Is there anyone here ? Is there anyone here ? Is there anyone here who is having who is having who is having operational issues operational issues operational issues with agents? Maybe from with agents? Maybe from with agents? Maybe from time to time. Okay, time to time. Okay, time to time. Okay, let me add let me add let me add a little intrigue. What a little intrigue. What a little intrigue. What about about about security issues? That was security issues? That was security issues? That was too easy, too easy, too easy, right? I think right? I think everyone here raised their hands everyone here raised their hands . And these, again, are . And these, again, are . And these, again, are very important questions very important questions very important questions that we need to ask that we need to ask that we need to ask ourselves. And the last thing I ourselves. And the last thing I ourselves. And the last thing I want to try with want to try with want to try with you, let's you, let's you, let's look at look at look at the position of head of the position of head of the position of head of engineering. engineering. engineering. Again, I Again, I Again, I like what's in the like what's in the like what's in the middle. Does middle. Does middle. Does our our our app or agent bring app or agent bring app or agent bring value to our value to our value to our users? I think users? I think users? I think we've jumped so quickly we've jumped so quickly we've jumped so quickly into the world of AI into the world of AI into the world of AI and the AI ​​era that I see a lot of and the AI ​​era that I see a lot of and the AI ​​era that I see a lot of customers, and having customers, and having customers, and having spent 3 days here spent 3 days here spent 3 days here talking to talking to talking to people, I see that people, I see that people, I see that everyone has this AI hype, everyone has this AI hype, everyone has this AI hype, this hype around this hype around this hype around agents, but how do you agents, but how do you agents, but how do you measure value?

measure value? Do you already have Do you already have instructions today on instructions today on instructions today on how to measure how to measure how to measure the value of your AI the value of your AI agents? There is none, right? And agents? There is none, right? And agents? There is none, right? And I'm pretty sure that I'm pretty sure that I'm pretty sure that as much as you as much as you as much as you want to run fast and want to run fast and want to run fast and reach your goal, we reach your goal, we reach your goal, we need to pause a bit need to pause a bit need to pause a bit and and and understand what we're understand what we're understand what we're really really really trying to achieve trying to achieve trying to achieve and how can we and how can we and how can we measure the success of our measure the success of our measure the success of our agents? Because if agents? Because if agents? Because if we're spending our we're spending our we're spending our engineering resources, engineering resources, engineering resources, time, effort, money on time, effort, money on time, effort, money on building these building these building these agents and agents and agents and using them in a using them in a using them in a way that we way that we way that we think helps think helps think helps our organization, our organization, our organization, we need to we need to we need to come up with metrics come up with metrics come up with metrics that will help us that will help us that will help us do that. Now, with do that. Now, with do that. Now, with all these all these all these questions, I questions, I questions, I hope I have hope I have hope I have prepared the ground a little to prepared the ground a little to prepared the ground a little to move on to the next move on to the next move on to the next topic I want to topic I want to topic I want to discuss, and it discuss, and it discuss, and it opens with a quote from opens with a quote from opens with a quote from my my my CTO, Bernd. I CTO, Bernd. I CTO, Bernd. I won't read everything, but I'll won't read everything, but I'll won't read everything, but I'll just highlight what just highlight what just highlight what we see here in blue we see here in blue we see here in blue . Agents . Agents . Agents work quickly. Does work quickly. Does work quickly. Does everyone agree that everyone agree that everyone agree that they are pretty fast? they are pretty fast? But without vision. And by But without vision. And by this we mean this we mean this we mean that modern agents are only as that modern agents are only as that modern agents are only as effective as the effective as the effective as the quality of quality of quality of the data available to them for the data available to them for the data available to them for analysis and analysis and analysis and decision-making. If the data decision-making. If the data decision-making. If the data provided to our provided to our provided to our agent lacks agent lacks agent lacks context, detail, context, detail, context, detail, or the proper or the proper or the proper permissions to permissions to permissions to extract information extract information extract information from the tools in from the tools in from the tools in your environment, you your environment, you your environment, you start to encounter a start to encounter a start to encounter a popular popular popular term like term like term like hallucinations. You hallucinations. You hallucinations. You start running start running start running processes and processes and processes and automating things automating things automating things in your environment in your environment in your environment that now probably that now probably that now probably don't add don't add don't add value because there's

value because there's value because there's not enough not enough not enough context in the system. So what context in the system. So what context in the system. So what if I told you that what if I told you that what if I told you that what we're essentially trying to we're essentially trying to we're essentially trying to do here is we do here is we do here is we don't actually don't actually don't actually need your need your need your agent to necessarily have a agent to necessarily have a agent to necessarily have a nervous system or nervous system or nervous system or vision to be vision to be vision to be effective and effective and effective and productive. Of course, productive. Of course, productive. Of course, there is a little trick in the session title there is a little trick in the session title there is a little trick in the session title . . But what they need is the real is the real is the real context of your context of your context of your environment. You can environment. You can environment. You can choose any choose any choose any agent available on the agent available on the agent available on the market. You can market. You can market. You can take a simple take a simple take a simple script from Claude and script from Claude and script from Claude and try to try to try to automate automate automate processes using processes using processes using Claude in your Claude in your software development life cycle (SDLC). And software development life cycle (SDLC). And if you do that, and if you do that, and if you do that, and Claude doesn't have access Claude doesn't have access Claude doesn't have access to the context of your to the context of your to the context of your environment, can't environment, can't environment, can't understand the dependencies of understand the dependencies of understand the dependencies of your services, or your services, or how your applications how your applications how your applications are used are used are used by users, it will by users, it will by users, it will start offering start offering start offering solutions and advice solutions and advice solutions and advice that may seem that may seem that may seem right at the right at the right at the time, but won't be right time, but won't be right time, but won't be right in the in the in the long long long run run run because the agent because the agent because the agent lacks the context lacks the context lacks the context to understand what to understand what your environment really looks like. So , I want to summarize , I want to summarize , I want to summarize this slide with one this slide with one this slide with one phrase: context is phrase: context is phrase: context is key. And context is the key. And context is the nervous nervous nervous system you system you system you can provide to your can provide to your can provide to your agents. So when agents. So when agents. So when they communicate, they communicate, they communicate, when you when you when you automate things, automate things, automate things, when you create when you create when you create new processes, this new processes, this new processes, this connective tissue of

connective tissue of connective tissue of context drives context drives context drives all the processes that all the processes that all the processes that you automate you automate you automate with your with your with your agents. Let's agents. Let's agents. Let's look at a few look at a few look at a few examples. So, examples. So, examples. So, with that in mind, what with that in mind, what I want to I want to I want to introduce to you is introduce to you is introduce to you is Blue Box by Dynatrace. Blue Box Blue Box by Dynatrace. Blue Box is essentially an agent is essentially an agent is essentially an agent that can now be that can now be that can now be integrated into integrated into any stage of the any stage of the any stage of the development lifecycle to development lifecycle to development lifecycle to provide context to provide context to any of your AI agents any of your AI agents any of your AI agents for coding or other for coding or other for coding or other custom agents custom agents custom agents you develop in you develop in you develop in your environment. your environment. your environment. I have a few slides I have a few slides that we'll that we'll that we'll look at here. I won't go look at here. I won't go look at here. I won't go into every into every into every single scenario, but I single scenario, but I single scenario, but I will point out the will point out the will point out the most important things that I most important things that I most important things that I think think think will be useful here. will be useful here. will be useful here. Let me, let Let me, let Let me, let me present this me present this me present this scenario to you. How many scenario to you. How many scenario to you. How many times have you as a developer times have you as a developer times have you as a developer built a feature, built a feature, built a feature, maybe even maybe even maybe even a function or skill a function or skill a function or skill for an agent, tested for an agent, tested for an agent, tested it locally, and it it locally, and it it locally, and it worked perfectly. worked perfectly. worked perfectly. Everything works Everything works Everything works fine locally, right? We are fine locally, right? We are fine locally, right? We are satisfied, it's satisfied, it's satisfied, it's incredible. And then incredible. And then incredible. And then we merge the code into the we merge the code into the we merge the code into the main branch, main branch, main branch, release it, and release it, and release it, and suddenly the other three suddenly the other three suddenly the other three services break. Has services break. Has services break. Has this happened to this happened to this happened to any of you? When any of you? When any of you? When your influence, despite the fact your influence, despite the fact your influence, despite the fact that everything that everything that everything worked fine locally, worked fine locally, worked fine locally, after combining with after combining with after combining with other agents and other agents and other agents and programs, disrupted programs, disrupted programs, disrupted the process in your the process in your the process in your environment. This is one of the environment. This is one of the environment. This is one of the most important things most important things most important things that Bluebox that Bluebox that Bluebox by Dynatrace can provide. We can by Dynatrace can provide. We can by Dynatrace can provide. We can provide provide service and service and dependency mapping for dependency mapping for dependency mapping for each of your each of your each of your agents, each of agents, each of agents, each of your AI your AI your AI workloads. So workloads. So , when you develop , when you develop , when you develop and make changes, and make changes, and make changes, it's not just about

it's not just about it's not just about local testing. local testing. local testing. Now we can Now we can Now we can use Bluebox use Bluebox use Bluebox to bring the to bring the to bring the production context into production context into production context into your local your local your local testing. So now testing. So now testing. So now you know whether you know whether the feature you developed not only the feature you developed not only works locally for works locally for works locally for you and what you're you and what you're you and what you're trying to trying to trying to automate, but also automate, but also automate, but also whether it won't break or whether it won't break or whether it won't break or negatively impact anything else negatively impact anything else your agent your agent or or or workload connects to. workload connects to. Let's look at, Let's look at, let's look at let's look at let's look at another example here. another example here. another example here. This is honestly one This is honestly one This is honestly one of my favorite of my favorite of my favorite examples in the entire examples in the entire examples in the entire world of world of world of observability. I've been observability. I've been observability. I've been doing doing doing observability for observability for observability for 8 years now, and if there's 8 years now, and if there's 8 years now, and if there's one goal I one goal I one goal I ask any of ask any of ask any of my clients, it's: "What do my clients, it's: "What do my clients, it's: "What do you want to achieve with you want to achieve with you want to achieve with your observability strategy your observability strategy now, with AI?" And when it now, with AI?" And when it comes to comes to comes to problems, I think everyone problems, I think everyone problems, I think everyone will say the same thing will say the same thing will say the same thing . Finding . Finding . Finding problems before problems before problems before they become they become they become real, before real, before real, before they impact my they impact my they impact my organization, before organization, before organization, before they impact they impact they impact my users. This is my users. This is my users. This is exactly what the exactly what the context that Bluebox context that Bluebox adds to your adds to your adds to your agents can do for you. And how do we agents can do for you. And how do we agents can do for you. And how do we do it? Well, we do it? Well, we do it? Well, we can now once again can now once again can now once again understand the end-to-end understand the end-to-end understand the end-to-end interaction of your interaction of your interaction of your agents in your agents in your agents in your application, in your application, in your application, in your ecosystem, in your ecosystem, in your ecosystem, in your organization. And we organization. And we organization. And we can can can use use use historical data from historical data from historical data from your environment, your environment, your environment, historical historical historical workloads, to workloads, to workloads, to understand what a understand what a understand what a normal, normal, normal, normal state looks like. So normal state looks like. So normal state looks like. So when things when things when things start to deviate start to deviate start to deviate from the norm, we can stay from the norm, we can stay from the norm, we can stay ahead of the curve. and

ahead of the curve. and ahead of the curve. and notify your notify your notify your agents, say in agents, say in agents, say in your developers' IDE, that your developers' IDE, that your developers' IDE, that one of one of one of their services is now their services is now their services is now running slower. running slower. Or suddenly it started Or suddenly it started giving errors giving errors giving errors that weren't there before. that weren't there before. that weren't there before. Now, Blue Box also Now, Blue Box also Now, Blue Box also integrates integrates integrates directly into your directly into your directly into your code repository. code repository. code repository. So, by doing this, we will So, by doing this, we will So, by doing this, we will now also have the now also have the now also have the context of what context of what context of what has changed in your has changed in your has changed in your ecosystem. What ecosystem. What ecosystem. What has changed in your has changed in your has changed in your app? What has changed app? What has changed app? What has changed in your in your in your workload? So workload? So workload? So now you can overlay now you can overlay now you can overlay this data and understand this data and understand this data and understand that the problem you're that the problem you're that the problem you're experiencing in your experiencing in your experiencing in your environment was environment was environment was caused by a change caused by a change caused by a change someone made. someone made. Perhaps a failed Perhaps a failed code merge. OK? code merge. OK? So, diving into the So, diving into the next scenario, next scenario, we discovered the problem. we discovered the problem. We started by We started by We started by creating context, creating context, creating context, right? So, we right? So, we right? So, we have the context of your have the context of your have the context of your environment. We are able to environment. We are able to environment. We are able to literally move literally move literally move data from the production data from the production data from the production environment to your environment to your environment to your local testing, local testing, local testing, to your developers to your developers to your developers in their IDE. You in their IDE. You in their IDE. You embed Blue Box into embed Blue Box into embed Blue Box into your your AI-based coding agents. Now we AI-based coding agents. Now we can detect can detect can detect problems at an early problems at an early problems at an early stage. We can stage. We can stage. We can start acting start acting start acting proactively. But what proactively. But what proactively. But what next? We need to next? We need to next? We need to talk about talk about talk about fixing things. And fixing things. And fixing things. And here's another example here's another example here's another example where Blue Box can be where Blue Box can be where Blue Box can be directly directly directly integrated into your integrated into your software development life cycle (SDLC). So software development life cycle (SDLC). So when we discover a when we discover a when we discover a problem, when we problem, when we problem, when we know and have know and have know and have information about your information about your information about your repository, know repository, know repository, know who made the changes, what who made the changes, what who made the changes, what exactly changed, we exactly changed, we exactly changed, we can again provide can again provide can again provide context to your context to your context to your developers and

developers and developers and let them know that let them know that let them know that the service, agent, or the service, agent, or the service, agent, or workload that had the workload that had the problem can be problem can be fixed fixed fixed with the following with the following with the following steps. So why is steps. So why is steps. So why is context so context so context so important in this important in this important in this process? Because when process? Because when process? Because when we need to we need to we need to fix a bug that's fix a bug that's fix a bug that's causing a problem in causing a problem in causing a problem in the environment, it can the environment, it can the environment, it can be a change of just be a change of just be a change of just one line of code. one line of code. one line of code. But after you But after you But after you change that line of change that line of change that line of code, what happens to the rest of code, what happens to the rest of your environment? What your environment? What happens to the rest of happens to the rest of happens to the rest of your app? So, your app? So, your app? So, again, this again, this again, this context and context and context and the dependency of all the the dependency of all the the dependency of all the other services in other services in other services in your environment is your environment is your environment is extremely extremely extremely important. So when important. So when important. So when we do this, when we we do this, when we we do this, when we think about think about think about fixing, it's fixing, it's fixing, it's not just about fixing the not just about fixing the not just about fixing the current problem, but current problem, but current problem, but also about making also about making also about making sure that we sure that we sure that we don't create any don't create any don't create any other problems in other problems in other problems in our environment. Um our environment. Um , and the last, or two more , and the last, or two more , and the last, or two more suggestions I suggestions I suggestions I want to consider, is want to consider, is want to consider, is briefing your briefing your briefing your agents before agents before agents before starting development. This is starting development. This is probably one of my probably one of my probably one of my favorite approaches favorite approaches favorite approaches when it comes when it comes when it comes to to to communicating directly with communicating directly with communicating directly with developers. I think developers. I think developers. I think we see too often we see too often how developers how developers how developers jump into a project jump into a project jump into a project as soon as someone as soon as someone as soon as someone suggests an idea and suggests an idea and suggests an idea and immediately start immediately start immediately start implementing it. But have implementing it. But have implementing it. But have we done any preliminary we done any preliminary we done any preliminary research to research to research to understand what exactly this understand what exactly this understand what exactly this feature should give feature should give feature should give our users?

our users? our users? What are we actually What are we actually What are we actually trying to achieve trying to achieve trying to achieve with this with this with this particular feature? particular feature? particular feature? That's exactly what we That's exactly what we That's exactly what we can do here. can do here. can do here. We will be able to plan We will be able to plan We will be able to plan before before before making requests. So making requests. So making requests. So when you create when you create when you create agents, applications, or agents, applications, or agents, applications, or use AI use AI agents for agents for agents for programming, Blue Bags will programming, Blue Bags will programming, Blue Bags will again again again involve the entire involve the entire involve the entire context of your context of your context of your current application and current application and current application and all agents in the all agents in the all agents in the environment. This will environment. This will environment. This will help you when help you when help you when planning a new planning a new planning a new release or feature release or feature release or feature to have enough data to have enough data to have enough data to understand to understand to understand exactly what exactly what exactly what you are you are you are working on. And the last working on. And the last working on. And the last scenario I want scenario I want scenario I want to share with you is that to share with you is that providing context to providing context to these agents can these agents can these agents can greatly facilitate greatly facilitate greatly facilitate automation. But automation. But automation. But when we talk about the when we talk about the when we talk about the development of development of development of automation, I'm automation, I'm automation, I'm sure some of sure some of sure some of you will recall the concept of you will recall the concept of you will recall the concept of "human in the loop." "human in the loop." "human in the loop." Ultimately, if we Ultimately, if we Ultimately, if we just let just let just let agents do everything on agents do everything on agents do everything on their own, the world their own, the world their own, the world will turn into will turn into will turn into chaos, right? We chaos, right? We chaos, right? We want to be want to be want to be able to able to able to control what control what control what happens in our happens in our happens in our environments.

environments. environments. Apparently, with Bluebox you will Apparently, with Bluebox you will Apparently, with Bluebox you will also be able to also be able to also be able to do this. I do this. I do this. I like this like this like this image that we image that we image that we see on the right. We see on the right. We see on the right. We will start with will start with will start with observation. observation. observation. Observing Observing Observing the environment, the environment, the environment, creating context, creating context, creating context, building a building a building a dependency map, providing dependency map, providing dependency map, providing this to developers this to developers this to developers during testing, during testing, during testing, taking into account all the taking into account all the taking into account all the working data and working data and working data and details necessary details necessary details necessary for correct for correct for correct code testing. code testing. code testing. Once we have this, we Once we have this, we Once we have this, we will be able to identify will be able to identify will be able to identify problems and problems and problems and suggest suggest suggest fixes. And not fixes. And not fixes. And not just a fix just a fix just a fix for a specific for a specific for a specific bug that blocks the bug that blocks the bug that blocks the agent, but a agent, but a agent, but a solution based solution based solution based on the context of on the context of on the context of the environment, the environment, the environment, application application application and agent monitoring, and agent monitoring, and agent monitoring, ensuring that ensuring that ensuring that the fix actually the fix actually the fix actually solves the problem in the solves the problem in the solves the problem in the system. Finally, we will system. Finally, we will system. Finally, we will be able to manage the be able to manage the be able to manage the entire entire entire software development lifecycle, delivering software development lifecycle, delivering software development lifecycle, delivering fixes and fixes and fixes and leaving you in leaving you in leaving you in control so you control so you control so you can decide whether to can decide whether to can decide whether to release a release a release a feature or feature or feature or fix. fix. So, with that said, I So, with that said, I come to come to come to the end of our the end of our the end of our little little little presentation about Bluebox. presentation about Bluebox. presentation about Bluebox. And finally, I want And finally, I want And finally, I want to add: we want to to add: we want to to add: we want to help agents help agents help agents deliver deliver deliver code that code that code that you trust to production. So, you trust to production. So, you trust to production. So, if you're if you're if you're interested, you can interested, you can interested, you can head over to bluebox.ai head over to bluebox.ai head over to bluebox.ai and sign up and sign up and sign up for for for early access early access . Once you do this, . Once you do this, . Once you do this, we will contact you we will contact you we will contact you to provide access to the to provide access to the to provide access to the platform. I platform. I platform. I also have some also have some also have some small cards with me that small cards with me that small cards with me that you can you can you can scan. So I'll scan. So I'll scan. So I'll walk around the room and walk around the room and walk around the room and hand them out to you. But hand them out to you. But hand them out to you. But having said that, we have 5 having said that, we have 5 having said that, we have 5 minutes. So if minutes. So if minutes. So if anyone has questions, anyone has questions, anyone has questions, we can totally we can totally we can totally spend this time on spend this time on spend this time on them. No questions?

them. No questions?