There’s ONLY 5 Ways to Use AI in SaaS (prove me wrong)

Almost every founder I talk to is asking Almost every founder I talk to is asking the same question. Am I falling behind the same question. Am I falling behind the same question. Am I falling behind on AI? They're worried that they aren't on AI? They're worried that they aren't on AI? They're worried that they aren't using AI enough. And if they don't keep using AI enough. And if they don't keep using AI enough. And if they don't keep up, their business could become up, their business could become up, their business could become irrelevant. Here's the thing. They're irrelevant. Here's the thing. They're irrelevant. Here's the thing. They're not wrong to worry, but they're asking not wrong to worry, but they're asking not wrong to worry, but they're asking the wrong question. Instead of am I the wrong question. Instead of am I the wrong question. Instead of am I using enough AI, they should be asking, using enough AI, they should be asking, using enough AI, they should be asking, am I using AI the right way? I've been am I using AI the right way? I've been am I using AI the right way? I've been building out a framework around how building out a framework around how building out a framework around how successful startups are using AI. And so successful startups are using AI. And so successful startups are using AI. And so far, I've found that there are only five far, I've found that there are only five far, I've found that there are only five distinct categories, and each one has distinct categories, and each one has distinct categories, and each one has completely different risks and rewards. completely different risks and rewards. completely different risks and rewards. Today, I'll walk you through all five. Today, I'll walk you through all five. Today, I'll walk you through all five. And by the end of this video, you'll And by the end of this video, you'll And by the end of this video, you'll know exactly which ones make sense for know exactly which ones make sense for know exactly which ones make sense for your startup and which ones to avoid. As your startup and which ones to avoid. As your startup and which ones to avoid. As you watch this video, I want you to you watch this video, I want you to you watch this video, I want you to think about all the ways you're using AI think about all the ways you're using AI think about all the ways you're using AI and think about which category each of and think about which category each of and think about which category each of those fall into. And if you think of an those fall into. And if you think of an those fall into. And if you think of an additional category that isn't covered additional category that isn't covered additional category that isn't covered in this video, please drop a note in the in this video, please drop a note in the in this video, please drop a note in the comments. Before we dive into the five comments. Before we dive into the five comments. Before we dive into the five categories, let me tell you about categories, let me tell you about categories, let me tell you about today's sponsor, G2I. Because today's sponsor, G2I. Because today's sponsor, G2I. Because implementing almost all of these AI implementing almost all of these AI implementing almost all of these AI strategies means finding qualified strategies means finding qualified strategies means finding qualified engineers to build them. G2I doesn't engineers to build them. G2I doesn't engineers to build them. G2I doesn't just give you access to over 8,000 just give you access to over 8,000 just give you access to over 8,000 prevetted engineers. They clear away the prevetted engineers. They clear away the prevetted engineers. They clear away the chaos and clutter when it comes to chaos and clutter when it comes to chaos and clutter when it comes to hiring. There's no AI generated resumes hiring. There's no AI generated resumes hiring. There's no AI generated resumes and no time wasters, just solid and no time wasters, just solid and no time wasters, just solid candidates with at least 5 years of candidates with at least 5 years of candidates with at least 5 years of proven experience. G2I does the vetting proven experience. G2I does the vetting proven experience. G2I does the vetting for you with customized live technical for you with customized live technical for you with customized live technical interviews so you can actually see how a interviews so you can actually see how a interviews so you can actually see how a candidate might work with your team.

candidate might work with your team. candidate might work with your team. Companies like Meta, Microsoft, and Companies like Meta, Microsoft, and Companies like Meta, Microsoft, and ShopMonkey trust G2I, and so do ShopMonkey trust G2I, and so do ShopMonkey trust G2I, and so do firsttime founders who just need to get firsttime founders who just need to get firsttime founders who just need to get this hire right the first time. If you this hire right the first time. If you this hire right the first time. If you need a prevetted engineer to join your need a prevetted engineer to join your need a prevetted engineer to join your team quickly, head to g2i.co/microcom team quickly, head to g2i.co/microcom team quickly, head to g2i.co/microcom to start your 7-day free trial. And if to start your 7-day free trial. And if to start your 7-day free trial. And if you mention microcom, you'll get $1,500 you mention microcom, you'll get $1,500 you mention microcom, you'll get $1,500 off your first invoice. That's g2i.co. off your first invoice. That's g2i.co. off your first invoice. That's g2i.co. co/microconf. co/microconf. co/microconf. All right. So, category number one is All right. So, category number one is All right. So, category number one is where AI is your core business. This is where AI is your core business. This is where AI is your core business. This is where your product is AI. Meaning, if where your product is AI. Meaning, if where your product is AI. Meaning, if you were to remove the AI, there's no you were to remove the AI, there's no you were to remove the AI, there's no business left. This includes both business left. This includes both business left. This includes both foundational models like Gemini 2.5, foundational models like Gemini 2.5, foundational models like Gemini 2.5, Claude Opus, GPT5, but it also includes Claude Opus, GPT5, but it also includes Claude Opus, GPT5, but it also includes companies like fiscal.ai, Jasper, companies like fiscal.ai, Jasper, companies like fiscal.ai, Jasper, MidJourney. These companies aren't just MidJourney. These companies aren't just MidJourney. These companies aren't just enhancing their product. The AI is enhancing their product. The AI is enhancing their product. The AI is effectively the product. Some additional effectively the product. Some additional effectively the product. Some additional examples are Rosie, founded by Jordan examples are Rosie, founded by Jordan examples are Rosie, founded by Jordan Gaul. It's an AI answering service. One Gaul. It's an AI answering service. One Gaul. It's an AI answering service. One Accord, it's a tiny seed company. They Accord, it's a tiny seed company. They Accord, it's a tiny seed company. They offer live translation for churches. And offer live translation for churches. And offer live translation for churches. And AI is a huge piece of this. And Pod AI is a huge piece of this. And Pod AI is a huge piece of this. And Pod Squeeze. This is a bootstrapped startup Squeeze. This is a bootstrapped startup Squeeze. This is a bootstrapped startup that helps you create and prepare that helps you create and prepare that helps you create and prepare summaries and show notes of podcast summaries and show notes of podcast summaries and show notes of podcast episodes. Does actually a lot more than episodes. Does actually a lot more than episodes. Does actually a lot more than that. And we've used it for a few years that. And we've used it for a few years that. And we've used it for a few years on startups with the rest of us and it on startups with the rest of us and it on startups with the rest of us and it saves us a tremendous amount of time. So saves us a tremendous amount of time. So saves us a tremendous amount of time. So with each of these AI categories, I'm with each of these AI categories, I'm with each of these AI categories, I'm going to talk about upside potential and going to talk about upside potential and going to talk about upside potential and primary risks. And so if AI is your core primary risks. And so if AI is your core primary risks. And so if AI is your core business, the upside potential is that business, the upside potential is that business, the upside potential is that you can potentially become the default you can potentially become the default you can potentially become the default solution in your category. And there are

solution in your category. And there are solution in your category. And there are massive market opportunities in emerging massive market opportunities in emerging massive market opportunities in emerging spaces right now. The primary risks are spaces right now. The primary risks are spaces right now. The primary risks are commoditization, meaning today's moat commoditization, meaning today's moat commoditization, meaning today's moat can be tomorrow's API call. Market can be tomorrow's API call. Market can be tomorrow's API call. Market education burden. Customers don't know education burden. Customers don't know education burden. Customers don't know what's possible. So oftent times with what's possible. So oftent times with what's possible. So oftent times with stuff that's this new, you have to stuff that's this new, you have to stuff that's this new, you have to educate the market. platform dependency. educate the market. platform dependency. educate the market. platform dependency. Think about OpenAI and Anthropic and how Think about OpenAI and Anthropic and how Think about OpenAI and Anthropic and how they could make a single change that they could make a single change that they could make a single change that ends you. So if you have a PDF converter ends you. So if you have a PDF converter ends you. So if you have a PDF converter and OpenAI just bakes that into the next and OpenAI just bakes that into the next and OpenAI just bakes that into the next model release, your business will model release, your business will model release, your business will probably go to zero. And the last one probably go to zero. And the last one probably go to zero. And the last one only really applies if you're building a only really applies if you're building a only really applies if you're building a foundational model, but it's capital foundational model, but it's capital foundational model, but it's capital intensity. You need a huge amount of intensity. You need a huge amount of intensity. You need a huge amount of funding for that. Category number two is funding for that. Category number two is funding for that. Category number two is AI as a feature. So AI is not your core AI as a feature. So AI is not your core AI as a feature. So AI is not your core product here. The key difference here is product here. The key difference here is product here. The key difference here is that AI enhances your core product, but that AI enhances your core product, but that AI enhances your core product, but it isn't the product itself. So, for it isn't the product itself. So, for it isn't the product itself. So, for example, if Notion removed their AI example, if Notion removed their AI example, if Notion removed their AI writing assistant, they'd still be writing assistant, they'd still be writing assistant, they'd still be Notion. If Zoom killed their AI Notion. If Zoom killed their AI Notion. If Zoom killed their AI summaries, meetings would still work. summaries, meetings would still work. summaries, meetings would still work. And if Loom removed their AI titles and And if Loom removed their AI titles and And if Loom removed their AI titles and chapters, which are very helpful, they'd chapters, which are very helpful, they'd chapters, which are very helpful, they'd still be Loom. AI makes these products still be Loom. AI makes these products still be Loom. AI makes these products better, makes them faster, easier, but better, makes them faster, easier, but better, makes them faster, easier, but their core product value proposition their core product value proposition their core product value proposition still survives without it. Let's look at still survives without it. Let's look at still survives without it. Let's look at the upside potential for having AI as a the upside potential for having AI as a the upside potential for having AI as a feature. One is you might be able to feature. One is you might be able to feature. One is you might be able to charge more. So in conversations with charge more. So in conversations with charge more. So in conversations with chat GPT, it suggests that some chat GPT, it suggests that some chat GPT, it suggests that some companies are able to increase prices companies are able to increase prices companies are able to increase prices between 20 and 50% for premium AI between 20 and 50% for premium AI between 20 and 50% for premium AI features. Another potential upside is features. Another potential upside is features. Another potential upside is adding AI now can offer differentiation adding AI now can offer differentiation adding AI now can offer differentiation in competitive markets and it can in competitive markets and it can in competitive markets and it can improve retention through habit forming

improve retention through habit forming improve retention through habit forming workflows. Finally, AI as a feature can workflows. Finally, AI as a feature can workflows. Finally, AI as a feature can be a natural upsell path for existing be a natural upsell path for existing be a natural upsell path for existing customers. Let's talk about the risks. customers. Let's talk about the risks. customers. Let's talk about the risks. The first is that this isn't really a The first is that this isn't really a The first is that this isn't really a competitive advantage because competitive advantage because competitive advantage because competitors can copy AI features competitors can copy AI features competitors can copy AI features honestly usually within a few weeks or a honestly usually within a few weeks or a honestly usually within a few weeks or a few months. So, it is not a longlasting few months. So, it is not a longlasting few months. So, it is not a longlasting advantage. Second is quality advantage. Second is quality advantage. Second is quality expectations. Bad AI is often worse than expectations. Bad AI is often worse than expectations. Bad AI is often worse than no AI and so you really have to vet your no AI and so you really have to vet your no AI and so you really have to vet your results and what you're delivering for results and what you're delivering for results and what you're delivering for your customers and that it is actually your customers and that it is actually your customers and that it is actually providing benefits and it's not just a providing benefits and it's not just a providing benefits and it's not just a checklist item that you build. The third checklist item that you build. The third checklist item that you build. The third is cost management. AI API costs can is cost management. AI API costs can is cost management. AI API costs can destroy your unit economics if your destroy your unit economics if your destroy your unit economics if your customers use them often. And the fourth customers use them often. And the fourth customers use them often. And the fourth one is overpromising, which really ties one is overpromising, which really ties one is overpromising, which really ties back into quality expectations. But the back into quality expectations. But the back into quality expectations. But the idea is in your marketing or your sales, idea is in your marketing or your sales, idea is in your marketing or your sales, are you writing checks that the product are you writing checks that the product are you writing checks that the product can't cash? The third is AI for building can't cash? The third is AI for building can't cash? The third is AI for building your product. So this is for the devs in your product. So this is for the devs in your product. So this is for the devs in the audience. This is where you're not the audience. This is where you're not the audience. This is where you're not building an AI product. You're using AI building an AI product. You're using AI building an AI product. You're using AI to build faster. GitHub Copilot, Cursor, to build faster. GitHub Copilot, Cursor, to build faster. GitHub Copilot, Cursor, Claude Code. These tools mean an Claude Code. These tools mean an Claude Code. These tools mean an engineer can now build more faster. The engineer can now build more faster. The engineer can now build more faster. The AI never touches your customers, but AI never touches your customers, but AI never touches your customers, but it's transforming how quickly you can it's transforming how quickly you can it's transforming how quickly you can ship. Wind surf, lovable, so many ship. Wind surf, lovable, so many ship. Wind surf, lovable, so many examples in this space. The upside examples in this space. The upside examples in this space. The upside potential here is faster velocity. I've potential here is faster velocity. I've potential here is faster velocity. I've heard someone quote, you can get a 3x or heard someone quote, you can get a 3x or heard someone quote, you can get a 3x or 10x development velocity improvement.

10x development velocity improvement. 10x development velocity improvement. So, anytime you can make developers more So, anytime you can make developers more So, anytime you can make developers more efficient and ship code faster, efficient and ship code faster, efficient and ship code faster, obviously that's a good thing. This obviously that's a good thing. This obviously that's a good thing. This allows small teams to potentially allows small teams to potentially allows small teams to potentially compete with larger competitors. Your compete with larger competitors. Your compete with larger competitors. Your iteration cycles can be cut down iteration cycles can be cut down iteration cycles can be cut down especially in the early days from months especially in the early days from months especially in the early days from months to weeks or weeks to days. In theory, to weeks or weeks to days. In theory, to weeks or weeks to days. In theory, you can have a dramatic reduction in you can have a dramatic reduction in you can have a dramatic reduction in technical debt and an expansion of test technical debt and an expansion of test technical debt and an expansion of test coverage cuz like what developer really coverage cuz like what developer really coverage cuz like what developer really loves writing tests and frankly AI is loves writing tests and frankly AI is loves writing tests and frankly AI is actually quite good at that. So now actually quite good at that. So now actually quite good at that. So now let's look at the primary risks. The let's look at the primary risks. The let's look at the primary risks. The first is code quality. you can introduce first is code quality. you can introduce first is code quality. you can introduce subtle bugs that are hard to spot. And subtle bugs that are hard to spot. And subtle bugs that are hard to spot. And if you're not a senior or a mid-level if you're not a senior or a mid-level if you're not a senior or a mid-level dev really combing through the code and dev really combing through the code and dev really combing through the code and really looking at the test, it's easy to really looking at the test, it's easy to really looking at the test, it's easy to build up technical debt. That's number build up technical debt. That's number build up technical debt. That's number two. If you move fast without two. If you move fast without two. If you move fast without understanding your code, you can understanding your code, you can understanding your code, you can introduce technical debt and it's easy introduce technical debt and it's easy introduce technical debt and it's easy to get kind of lazy or kind of sloppy to get kind of lazy or kind of sloppy to get kind of lazy or kind of sloppy and start building technical debt over and start building technical debt over and start building technical debt over time. The third one is over reliance. time. The third one is over reliance. time. The third one is over reliance. Your team can lose the ability to code Your team can lose the ability to code Your team can lose the ability to code without AI. Now, you're not going to without AI. Now, you're not going to without AI. Now, you're not going to lose all of it, but you're going to lose lose all of it, but you're going to lose lose all of it, but you're going to lose certain skills over time. And the fourth certain skills over time. And the fourth certain skills over time. And the fourth one is security vulnerabilities. Is AI one is security vulnerabilities. Is AI one is security vulnerabilities. Is AI introducing exploitable patterns? Today introducing exploitable patterns? Today introducing exploitable patterns? Today it is. There are many examples of it is. There are many examples of it is. There are many examples of specific tools that have introduced specific tools that have introduced specific tools that have introduced security vulnerabilities. And you know security vulnerabilities. And you know security vulnerabilities. And you know another one is that the development another one is that the development another one is that the development velocity improvements are up for debate.

velocity improvements are up for debate. velocity improvements are up for debate. There was a recent study where folks There was a recent study where folks There was a recent study where folks were saying that developers are not were saying that developers are not were saying that developers are not actually faster with AI coding actually faster with AI coding actually faster with AI coding assistance. Now I think the best assistance. Now I think the best assistance. Now I think the best developers are actually better with it, developers are actually better with it, developers are actually better with it, but I think that will shake out over but I think that will shake out over but I think that will shake out over time. Before I get into category 4, I time. Before I get into category 4, I time. Before I get into category 4, I wanted to let you know that tickets for wanted to let you know that tickets for wanted to let you know that tickets for Microconf US 2026 are on sale. The event Microconf US 2026 are on sale. The event Microconf US 2026 are on sale. The event is April 12th through the 14th in is April 12th through the 14th in is April 12th through the 14th in Portland, Oregon. Microcom is where all Portland, Oregon. Microcom is where all Portland, Oregon. Microcom is where all of this started. We've been running this of this started. We've been running this of this started. We've been running this event for 15 years. It's a gathering of event for 15 years. It's a gathering of event for 15 years. It's a gathering of 275 to 300 of your favorite bootstrapped 275 to 300 of your favorite bootstrapped 275 to 300 of your favorite bootstrapped SAS founder friends. It's an incredible SAS founder friends. It's an incredible SAS founder friends. It's an incredible event. You're going to make connections event. You're going to make connections event. You're going to make connections that will last you years. You're going that will last you years. You're going that will last you years. You're going to build your network. You're going to to build your network. You're going to to build your network. You're going to see incredible talks and be in the best see incredible talks and be in the best see incredible talks and be in the best hallway track in the world for Bootstrap hallway track in the world for Bootstrap hallway track in the world for Bootstrap SAS. To get all the details, head to SAS. To get all the details, head to SAS. To get all the details, head to microcom.com/ microcom.com/ microcom.com/ us. And for subscribers of this channel, us. And for subscribers of this channel, us. And for subscribers of this channel, you can use promo code rob50 to get $50 you can use promo code rob50 to get $50 you can use promo code rob50 to get $50 off your ticket. So, category 4 is AI off your ticket. So, category 4 is AI off your ticket. So, category 4 is AI for growing your business. This is AI as for growing your business. This is AI as for growing your business. This is AI as your growth engine. It's not in your your growth engine. It's not in your your growth engine. It's not in your product, but it's in how you acquire product, but it's in how you acquire product, but it's in how you acquire customers. This is AI powered cold customers. This is AI powered cold customers. This is AI powered cold outreach that personalizes at scale.

outreach that personalizes at scale. outreach that personalizes at scale. It's content generation that helps you It's content generation that helps you It's content generation that helps you dominate SEO, ad copy that tests dominate SEO, ad copy that tests dominate SEO, ad copy that tests hundreds of variations automatically. hundreds of variations automatically. hundreds of variations automatically. This is where you're using AI to grow This is where you're using AI to grow This is where you're using AI to grow faster and cheaper than your faster and cheaper than your faster and cheaper than your competitors. So, some examples of this competitors. So, some examples of this competitors. So, some examples of this are Clay for outbound sales, Jasper.ai, are Clay for outbound sales, Jasper.ai, are Clay for outbound sales, Jasper.ai, and Copy.AI for content, AI email and Copy.AI for content, AI email and Copy.AI for content, AI email personalization tools, AI powered ad personalization tools, AI powered ad personalization tools, AI powered ad optimization. And the upsides, I feel optimization. And the upsides, I feel optimization. And the upsides, I feel like, are obvious. 10 to 100x increase like, are obvious. 10 to 100x increase like, are obvious. 10 to 100x increase in outreach capacity, dramatically lower in outreach capacity, dramatically lower in outreach capacity, dramatically lower cost to acquire a customer through cost to acquire a customer through cost to acquire a customer through better targeting, content production at better targeting, content production at better targeting, content production at crazy scale, and true personalization crazy scale, and true personalization crazy scale, and true personalization that can convert better. But there are that can convert better. But there are that can convert better. But there are some risks, and you might not have some risks, and you might not have some risks, and you might not have thought of these. The first is thought of these. The first is thought of these. The first is authenticity. Are customers going to authenticity. Are customers going to authenticity. Are customers going to detect or reject AI outreach? Are you detect or reject AI outreach? Are you detect or reject AI outreach? Are you going to cause brand damage when AI goes going to cause brand damage when AI goes going to cause brand damage when AI goes off-brand in public? Are there off-brand in public? Are there off-brand in public? Are there compliance issues? AI can violate compliance issues? AI can violate compliance issues? AI can violate regulations if you're not paying regulations if you're not paying regulations if you're not paying attention. And finally, channel attention. And finally, channel attention. And finally, channel saturation. Everyone's using the same saturation. Everyone's using the same saturation. Everyone's using the same tactics. Are they going to work now and tactics. Are they going to work now and tactics. Are they going to work now and in the future? All right, my fifth and in the future? All right, my fifth and in the future? All right, my fifth and final category is AI for operating your final category is AI for operating your final category is AI for operating your business. This is where you use AI business. This is where you use AI business. This is where you use AI internally. It's the stuff that helps internally. It's the stuff that helps internally. It's the stuff that helps you run your company more efficiently.

you run your company more efficiently. you run your company more efficiently. Examples include AI handling tier one Examples include AI handling tier one Examples include AI handling tier one support tickets, AI screening resumes, support tickets, AI screening resumes, support tickets, AI screening resumes, analyzing customer feedback for analyzing customer feedback for analyzing customer feedback for patterns. The key here is that your team patterns. The key here is that your team patterns. The key here is that your team is the user, not your customers. It's is the user, not your customers. It's is the user, not your customers. It's about operational leverage, not product about operational leverage, not product about operational leverage, not product differentiation. Tools you might use differentiation. Tools you might use differentiation. Tools you might use here include chatgpt claude or whatever here include chatgpt claude or whatever here include chatgpt claude or whatever chat tool you prefer, intercom's fin for chat tool you prefer, intercom's fin for chat tool you prefer, intercom's fin for customer support, any AI hiring or customer support, any AI hiring or customer support, any AI hiring or screening tool, automated data entry, screening tool, automated data entry, screening tool, automated data entry, processing, categorization, internal processing, categorization, internal processing, categorization, internal knowledge bases, and AI powered knowledge bases, and AI powered knowledge bases, and AI powered analytics. The upside potential is analytics. The upside potential is analytics. The upside potential is significant. You can see 30, 50, 80% significant. You can see 30, 50, 80% significant. You can see 30, 50, 80% operational cost reductions in certain operational cost reductions in certain operational cost reductions in certain departments. You can scale support departments. You can scale support departments. You can scale support without linear headcount. It offers 24 without linear headcount. It offers 24 without linear headcount. It offers 24 by7 availability. And of course, it can by7 availability. And of course, it can by7 availability. And of course, it can achieve consistency that humans can't achieve consistency that humans can't achieve consistency that humans can't match. But the risks are significant as match. But the risks are significant as match. But the risks are significant as well. The customer experience can well. The customer experience can well. The customer experience can suffer. What if AI mishandles sensitive suffer. What if AI mishandles sensitive suffer. What if AI mishandles sensitive issues or frustrates your customers? issues or frustrates your customers? issues or frustrates your customers? Employee morale might be an issue. What Employee morale might be an issue. What Employee morale might be an issue. What if your team fears being replaced? And if your team fears being replaced? And if your team fears being replaced? And finally, compliance and legal. We all finally, compliance and legal. We all finally, compliance and legal. We all know that without human oversight, AI know that without human oversight, AI know that without human oversight, AI can easily violate laws or internal can easily violate laws or internal can easily violate laws or internal company policies. So again, those five company policies. So again, those five company policies. So again, those five categories are AI as your core business, categories are AI as your core business, categories are AI as your core business, AI as a feature, AI for building your AI as a feature, AI for building your AI as a feature, AI for building your product, AI for growing your product, product, AI for growing your product, product, AI for growing your product, and AI for operating your business. As and AI for operating your business. As and AI for operating your business. As you look at your list of how you use AI, you look at your list of how you use AI, you look at your list of how you use AI, if everything generally falls into these if everything generally falls into these if everything generally falls into these categories, can you hit like on this categories, can you hit like on this categories, can you hit like on this video? And if you have a use case that video? And if you have a use case that video? And if you have a use case that doesn't fit into these categories or an doesn't fit into these categories or an doesn't fit into these categories or an edge case that I should be considering, edge case that I should be considering, edge case that I should be considering, I'd love it if you drop it in the I'd love it if you drop it in the I'd love it if you drop it in the comments below. If you're considering AI

comments below. If you're considering AI comments below. If you're considering AI as your core business or as a feature, as your core business or as a feature, as your core business or as a feature, you really need to think through you really need to think through you really need to think through platform risk. In this next video, I go platform risk. In this next video, I go platform risk. In this next video, I go indepth on the risks associated with indepth on the risks associated with indepth on the risks associated with relying too heavily on an outside relying too heavily on an outside relying too heavily on an outside partner and what you can do to mitigate partner and what you can do to mitigate partner and what you can do to mitigate that risk. Thanks for watching. I'll see that risk. Thanks for watching. I'll see that risk. Thanks for watching. I'll see you next time.