Dylan Kinder

Client: Dylan Kinder, DataCose
Format: Long form
Published views: 98
Video: https://www.youtube.com/watch?v=ooGi8dZ5Pvw
Content pillar: Client Case Study
Hook template used: Before and After
Target runtime: 14 minutes (2106 words at 150 words per minute)

Title options
1. How We Cut 255 Invalid Orders to 3
2. The 3 Jobs Every Service Business Should Hand to AI Today
3. 255 Errors a Month to 2 With One Custom App

Thumbnail direction
Dylan on the right third of the frame, one hand open toward a large number graphic reading "255 to 2", caps text overlay across the top reading "IT IS LITERALLY PRINTING MONEY". Behind him, a clean shot of the custom app dashboard with order statuses visible. Confident, slightly amused expression, no clutter.

The script

[ON SCREEN: "255 errors a month"]

Today I want to show you how a digital HQ turned a service business into a money printing machine.

One company, three full time employees tied up in a single process. They had 255 orders every month arriving with some kind of error in them. They deal with a lot of documents, and those documents can be wrong or have fields filled out incorrectly. Every invalid order triggered a massive back and forth between two external parties. Manual follow ups, resubmissions, escalations, wasting hours of time every single week.

We built one application. Now they process twice as many orders and they have two order issues per month. The best part is that one part time employee manages all of it. No more back and forth. No more mess. In their own words, it is literally printing money.

[ON SCREEN: "This is what an AI employee actually is"]

This is what AI employees actually look like inside a service business. It is not a chatbot you ask little questions to, and it is not a fancy to do app. It is something that does the work for you. It is a system that replaces the work itself. Let me show you how.

Before we get into it, a quick intro. My name is Dylan. I have been running DataCose for five years, helping over 60 service businesses, and scaling a team to over 20. I have had a lot of time to watch what breaks in service businesses and to see what fixes them.

This video is about three specific things I see service businesses doing every single day that should be handed over to AI employees immediately.

[ON SCREEN: "1. CRM notes and logging"]

Problem number one is CRM notes and logging communication. Making sure you capture the most important things out of every client call, email, text, whatever it may be. What matters is that somebody or something has to log it. Nobody logs it because it is fun. No one likes doing it. You log it because the next step in the process, or the next person or AI employee who works with this client, will be flying blind without it.

For most service businesses, CRM logging is falling between the cracks, being done poorly, or being done very inconsistently. And even if you do it well, you are creating bottlenecks around your most expensive people. If you or someone on your team has to spend an extra 20 or 30 minutes writing detailed notes after every call or customer communication, that is time they cannot spend on calls with other customers.

[ON SCREEN: "Nobody has to remember"]

An AI employee handles this automatically. Calls, emails, and texts converted straight into useful notes in your CRM that you can reference later. Nobody has to remember. Nobody does it twice. No one skips it because they are too busy. That is the first thing you should pass off to an AI employee immediately.

The second thing is proposals. If you run a service business, proposals are probably an important part of your workflow, and they eat your senior people's time. Even if you have a template that is 70% the same every time, you really should be tailoring it to the needs and wants of the person you are making the proposal for. I have seen people spend two to three hours writing a single proposal.

[ON SCREEN: "2. Proposals in minutes, not hours"]

An AI employee trained on your services, your business model, and your pricing can create one of these in minutes. Then your team reviews it in 10 or 15 minutes, puts the final polish on it, makes sure the pricing is spot on, and sends it to the client. You get the same level of output and quality, or even better, without all of the manual overhead.

And I say even better for a reason. What we are seeing is that AI spends far more time personalizing the proposal to the prospect than a human could feasibly do in a normal day. It would have to be someone's full time job, and even then they might run out of time.

[ON SCREEN: "3. Reporting on demand"]

Now the third thing you should hire an AI employee for is reporting. All of your reporting. Business reports, project status updates, monthly performance summaries for your team members and for your clients.

Most of us already have this data sitting across all of our different tools and systems. It is just challenging to go track it down, clean it up, and put it together into a report. Because of that, many of us do not do it at all, or we only take the time to do it once or twice a year.

This task is very important, but it should not cost you a ton of overhead. In today's world, with all of the information we have stored in our applications and online, we should be able to produce these reports whenever we need them, in a moment. That is exactly what an AI employee can do.

[ON SCREEN: "Only surface what matters"]

It can even monitor your systems in real time and only surface a report when it is relevant or important for you to see today. Instead of drowning in reports about every little thing happening, we have seen it work very well when the AI decides whether to surface a report based on what you have instructed it to look out for, or based on something it believes you should be aware of.

And even if you do not consume every report today, the AI can build a library of them. That lets a future AI employee reference past data and see the bigger picture of the trends happening in your industry, in your business, across your team, and across your client portfolio. That is very, very important information.

[ON SCREEN: "Work humans hate doing"]

So those three categories are totally different areas of the business, although in business everything is interconnected one way or another. They are all things AI employees can do effortlessly, and things humans really do not like doing, or that we simply do not have the capital or the extra time to do ourselves.

Now here is the biggest concern I hear from business owners when I recommend they start here. They say things like, our processes are just too complicated. Our reports are too tailored, too custom. I hear it constantly, and I actually get it. Just a few years ago, automating these complex processes to 80% or 100% was completely impossible. All of that is changing, and let me show you why.

[ON SCREEN: "Old automation: if this, then that"]

In traditional automation, we had to write if then rules for everything. Literally everything. If the automation ran into something it did not know how to handle, it broke instantly. To figure out why it broke, we had to dig through the logs, then try to recreate the exact environment it was running in when it failed. It was painful. It was hard to maintain and hard to build anything really robust. We were stuck in a never ending loop of trying to harden the system so it would not break in the real world.

That is not how AI employees work at all. AI employees operate on step by step instructions written in plain English. When they encounter something they do not know how to handle, they either try to figure it out using their best judgment, or they come back to a human and ask for input. In plain English. No more digging through logs.

[ON SCREEN: "It explains itself. It improves."]

The AI employee will actually explain the limitation it ran into, along with ideas and suggestions to overcome it. All you have to do is say yes or no, or give it the correct input. Then it takes your input and updates its own instructions, so next time that situation comes up, it already knows how to handle it. They explain themselves, they improve over time, and they do not require thousands of lines of code to keep running. That is an absolute game changer for business and for automation.

For me personally, I spent years in software development. I thought writing custom code and building custom automations was complicated, challenging, deeply technical work. AI has made quick work of it. I have been incredibly humbled. Honestly, most of the time now, it does it better than I do.

[ON SCREEN: "50% is the floor"]

So if AI can assist in complicated software development projects, it can definitely help you take better notes in your CRM, create tailored proposals for your leads, and handle a lot of the reporting you should be running.

At a very minimum, 50% of the things you do in your business can be handled by AI. We like to start with the low level work to free your humans up for the higher level work, but 50% is the floor. More realistically, I believe it can do 80%. And I am not making that up. That is what I am seeing in the real world when we start hiring AI employees into real service businesses.

[ON SCREEN: "This is not just for Google and Microsoft"]

Here is the main thing I want you to take away from this video. AI is not just for Google, for Microsoft, for the really big companies. You can start using it in your business today.

The cost of building AI powered systems has dropped dramatically. We can develop custom solutions four to five times faster than we could two years ago, because AI is involved in the entire development process. Those cost savings pass directly to business owners. Right now we are in a once in a lifetime opportunity for small and medium businesses. You have the chance to take on much larger competitors with smarter systems and AI teams.

So the real question is this. Will you be one of the owners who adopts AI early and uses it to scale, or will you sit on the sidelines while your competitors do it?

[ON SCREEN: "This is not anti human"]

There is one thing I want to be clear about, and one narrative I want to push back on. This is not anti human. It frees up your existing human talent to do the things that really matter. Not the low level work, the high level work. It also creates opportunities to leverage your people in ways that were never possible before. They can use their full skill set, their full interests, and their creativity to market the business, grow it, and build strong relationships with your customers and your suppliers. It creates a much better place to work.

I have seen this play out in a few different ways. Another great outcome is when you do not give your employees new things to do at all. They simply do the 20% that AI cannot do, and they do it exceptionally well, because now they have the time for it. They are not stressed trying to move information around, write quick little notes, or prepare endless documents. They can focus purely on what matters, and they are a lot less stressed, because it is easier for them to double down, or in this case quadruple down, on the work that counts.

[ON SCREEN: "Humans plus AI employees"]

That is really the challenge right now. The businesses that figure out the balance between their AI employees and their human employees are going to dominate their industries over the next few years. The tech is incredible, and the cost to develop it has dropped tremendously. That creates an incredible opportunity, and it is available to any service business that decides to give it a shot.

If you are watching this and thinking, I have similar challenges or similar goals for my business, I want to talk to you. We build digital HQs. Custom systems your humans work inside of, and your AI employees work inside of, to automate all of the low level work for you. They create proposals, build reports, and write custom CRM notes. Beyond the three I highlighted today, we use them for content creation and writing blogs too. Those three were just examples. If you can write down a step by step instruction, AI can probably handle it.

[ON SCREEN: "Book a 30 minute inspection"]

If you want to accelerate your time to hiring your first AI employee, and make sure that when you hire it, you hire the right one and it does exactly what you need from day one, I recommend booking an inspection with me. There is a link in the description below. It is 30 minutes. If I cannot find at least 20 hours of tasks that can be offloaded to an AI employee in that 30 minute call, I will pay you $500. That is how confident I am that at a minimum, 50% of your work can be offloaded to AI employees.

I am excited to see what is possible for you in your business. Thanks for watching.

Client: Dylan Kinder, DataCose
Format: Long form
Published views: 77
Video: https://www.youtube.com/watch?v=TOPWokCRJB0
Content pillar: Systems and Automation
Hook template used: Warning
Target runtime: 7 minutes (1119 words at 150 words per minute)

Title options
1. AI Employees and A Digital HQ: The Blueprint
2. The Digital HQ Blueprint for Service Businesses
3. Why Your Competitors Will Pass You Without Hiring Anyone

Thumbnail direction
Dylan center frame, arms crossed, serious expression, caps text overlay reading "AN EXTINCTION EVENT". Behind him a simple two panel graphic: a crowded org chart on one side, a single clean dashboard on the other. Keep colors dark with one accent color so the text pops on mobile.

The script

[ON SCREEN: "It's coming for our businesses"]

AI is not just coming for jobs. It is coming for our businesses. While you are busy scaling and managing a large team, your competitors are building teams of AI employees that do ten times the work without the payroll.

I have looked behind the curtain of over 60 service businesses, and I am seeing an extinction event in real time. The companies still hiring to grow are drowning in overhead, while the companies fully embracing AI are growing ten times faster with far higher margins to reinvest back into the business.

If you do not have teams of AI employees doing at least 50% of the work in your business by the end of the year, you will not just be slower. You will start to become irrelevant.

[ON SCREEN: "The blueprint"]

Today I am giving you the blueprint I used to automate thousands of hours of manual work with systems that never sleep. If you already know AI is the future, and you want to use it to scale your business and maybe exit in the next few years, keep watching.

If we have not met yet, I am Dylan. My educational background is in data science, but I have spent my entire professional career building systems for service businesses, covering every corner of them. I have experienced it all myself, from scaling a 20 person agency the hard way, to leading the charge with AI employees. Now I work with over 60 businesses to help them do the same.

Because I understand the technical side and the business side, I know exactly where things start to break down and where money gets wasted. I am not here to give you tips. I am here to give you the exact blueprint for what to do when tech and business collide in an AI economy, and to help you grow your service business without the pain and struggle of scaling a large team.

[ON SCREEN: "The trap that feels like growth"]

So here is the truth about scaling a team. The more people you have, the more people you need to manage. It feels like growth, but for many business owners it becomes a trap.

When I had a larger team, I honestly lost track of many of the numbers I should have stayed on top of. I was stuck in reactive firefighting mode, and even though our revenue had never been higher, I had no time to work on the business. The business owned me more than I owned it.

I could not track profit per person, per project, or per task. My team and I were copying and pasting data from a ton of different systems, trying to put it on some sort of dashboard so we had the smallest clue of what was going on. Because we had no systems to provide warning signals, we only found out about issues after the fact. By the time people reached out to me, it was too late, and I was living the business owner's nightmare of constant damage control.

[ON SCREEN: "Ask yourself these two questions"]

Take a moment and ask yourself two questions. Do you know the profitability of every project? Do you know the status of every project right now?

If the answer to either of those lives inside your head, your business is too fragile. And when it comes to AI, you are already starting to fall behind, because you are not even in a position where AI can help you most. This should be a major priority for you.

Even if your team happens to know the answers to those questions, if the answers only live inside people's heads, that is a major business risk. If they leave, the key information you need to run your business leaves with them. If they are unavailable, you are stuck.

[ON SCREEN: "Why a digital HQ matters"]

This is why building a digital HQ is so important. Having all of your information in one centralized system means your institutional knowledge is not lost when someone leaves. You are actually building an asset that someone else will be very eager to buy. And it sets you up to explode with AI.

Let me show you exactly how, by diving deeper into what a digital HQ actually is.

Put simply, a digital HQ is a tool that matches your exact business. It acts as a single source of truth, storing all of your data in one place. You and your team go there to complete all core workflows. There are real time interfaces and dashboards where everything is logged and tracked. From the second a client pays to the moment the work is delivered, the system knows exactly where everything is and what is needed next.

[ON SCREEN: "You are selling a system, not a team"]

If you sell a business with a digital HQ tomorrow, you are not just selling a team. You are selling a system that hits your targets every month, no matter who is sitting in the seat.

But the biggest unlock of a digital HQ in an AI economy is that you have built a place where AI employees can actually work. Not just work, but thrive.

The reason many companies have lower margins than they would like is that their internal systems are a complete mess. If you try to hire an AI employee into that kind of environment, you are setting it up to fail. But if you give it a clean place to work, it will very quickly become your favorite employee, and it works for less than 50 cents an hour.

[ON SCREEN: "What's coming on this channel"]

On this channel, I am going to show you exactly how to build these systems. You will see real walkthroughs of our digital HQs, behind the scenes deep dives into businesses doing the same thing, real AI employees doing the work of entire departments, plus templates and frameworks you can start using immediately. No fluff, no theory, just what actually works.

Because here is the truth. The businesses that win in the next five years will not be the ones with the most employees. They will be the ones with the best systems to support their human team and manage their army of AI employees.

[ON SCREEN: "One more thing"]

One more thing. If you are looking to use this opportunity to scale and exit your business with AI, here is what I need from you.

First, like the video, so YouTube shows it to more founders who need to hear it. Second, subscribe and hit the bell, because I am dropping a new breakdown every single week. And last, comment below with the one task you would love to hand over to an AI employee first. I will reply to every single comment with specific advice.

Next video, I am showing you a behind the scenes look inside a real digital HQ. Full transparency, every system we use.

Client: Dylan Kinder, DataCose
Format: Long form
Published views: 68
Video: https://www.youtube.com/watch?v=2wCOWwpA4qg
Content pillar: AI Employees
Hook template used: Contrarian Take
Target runtime: 16 minutes (2423 words at 150 words per minute)

Title options
1. AI Employees Are Not What You Think
2. The First 3 AI Employees Every Service Business Should Hire
3. Tool vs AI Employee: What Founders Get Wrong

Thumbnail direction
Dylan on the left, laptop with a ChatGPT tab visible on the right with a red X over it, caps text overlay reading "THIS IS NOT AN AI EMPLOYEE". Slight smirk, arms open, and three small labeled icons stacked in the corner for CRM logger, proposal writer, and status reporter.

The script

[ON SCREEN: "A tab is not an employee"]

Every founder I talk to has tried AI. They have a ChatGPT tab open. They may even have a Claude subscription. They are not just writing emails with it anymore. They are using it to create proposals, to draft faster, even to strategize about business decisions.

But this is not an AI employee. This is just a tool. There is a massive difference between a tool and an AI employee, and today I want to show you what an actual AI employee looks like inside your business.

I am Dylan from DataCose, where we build custom digital HQs for service businesses. These digital HQs are the perfect place for your human team members to work, and for your AI employees to thrive.

[ON SCREEN: "What we're covering"]

I want to spend this video being very specific about what AI employees are and what they are not. Then I will give you my recommendation for the top three AI employees every service business owner should consider hiring first.

The biggest mistake I see business owners make is treating AI like a chat interface instead of an employee that can do real work in your business without you prompting it every single time. The businesses getting the most out of AI right now are not just prompting. They are building teams of AI employees that do the work faster, cheaper, more reliably, and automatically in the background.

[ON SCREEN: "What makes it an employee"]

So here is what makes an AI employee an AI employee. It is not a tool that waits for you to prompt it. An AI employee has a very specific job to do, and when it needs to do it, it wakes up and does it without being asked.

An AI employee has a few things. It has a defined workflow that it is responsible for. It has a specific trigger that activates it and starts the workflow. It has a set of inputs it uses to do the job properly, and it may have additional context it looks at, for example a strategy document or brand guidelines that help it do a better job. Most importantly, it has a step by step SOP written in English that it follows.

[ON SCREEN: "Optional: the QC check"]

Lastly, and this one is optional, it might have a QC check. Before it marks a task done, or before it submits work to a human for approval, it runs a quality check against criteria we have defined, just to make sure the output actually lives up to the standard of the task before a human is pinged to review it.

Take client onboarding as an example. When a client signs an agreement and pays the first invoice, the AI employee is not waiting for someone to tell it to begin onboarding. It just starts. It looks at the welcome email template and tailors it using the transcripts of the sales calls that happened before, the agreement, and any other valuable context. Before sending the email, it might create an onboarding questionnaire form and include that link inside the email. It might look at the team's calendar and coordinate a few good kickoff dates and times to include so the client can choose. Then it finds the deal that the agreement was associated with inside the CRM and marks it closed won.

[ON SCREEN: "One trigger. All of it."]

All of that happens automatically in the background from a single trigger. That is a great example of an AI employee. It is not a prompt and it is not a template. It is a worker with accountability.

So here are three incredible AI employees I recommend every service business consider hiring first. This is based on working with over 50 service businesses. These create the fastest ROI, and they are also easier to build, because they do not necessarily require a human in the loop to approve the final output.

[ON SCREEN: "1. The CRM logger"]

The first AI employee is a CRM logger. In our company we call this employee the CRM data clerk.

The CRM data clerk is triggered after every single call. We no longer have to go into the CRM afterward and take notes on what we think is important, figure out what is noteworthy and what is not, or look at the handwritten notes we scribbled during the call to remember what to write down. All of that is gone.

If we are being honest, we forgot to do it all the time. It was a pain. We knew we should be doing it, but there is so much we should be doing, and so much we actually have to do in the next 24 hours. We are busy business owners with clients to serve. So this is often one of the first things we drop.

[ON SCREEN: "Triggered the moment a call ends"]

Our CRM data clerk wakes up the moment we end a call. It is triggered by our transcription tool, Fireflies. Its first step is to identify whether the call was internal with just our team, or whether it included an external participant, someone not on our DataCose domain.

If it was an external call, it creates a note about what we discussed. There are four things we care about personally, so it creates four sections inside the note. Then it looks into our CRM to see if this contact already exists. If so, it matches. If not, it creates a new contact. Then it attaches the note to the contact and includes a direct link to the Fireflies transcript at the bottom.

[ON SCREEN: "Keeping the team in the loop"]

We also have a partnership manager. If a partnership is discussed with DataCose at any time, it goes into Slack, and the CRM data clerk pings her, tells her what was discussed, and fills her in. She can always open the transcript if she has follow up questions. That alone has been tremendous for keeping her in the loop while we are having all of these meetings with potential partners, or with clients who can become partners.

This data is so important to capture because you can use it downstream for additional AI employees, to provide more context about the person you are interacting with. For example, we can use it to remember the services a partner provides. If we talk to a new person or an existing client and they mention needing a service we do not provide, the system can look through the CRM, see the notes that were taken, and surface a referral opportunity where we connect that client to one of our partners.

[ON SCREEN: "No hunting. No remembering."]

We do not have to do the hunting or the searching. We do not have to remember the right partner in the exact moment we are on the call. It can all happen automatically, and that is a downstream automation the CRM data clerk enables.

It also lets you automate your proposals and agreements down the road based on the conversations you had before. It makes sure everything you promised gets included in the scope, so the client is fully in the loop and every expectation is met.

[ON SCREEN: "2. The proposal writer"]

Speaking of proposals, a proposal writer is the second AI employee on the list.

If you are like most teams, you are not creating a completely new proposal every single time. You are using at least 70% of the same information. The same offer, the same framework, the same or very similar pricing. And yet, despite having templates, it still takes one, two, sometimes three hours of a very senior person's time to put the proposal together, get the agreement built, and load it into PandaDoc or DocuSign for an e signature so everything can move forward.

If we are honest, nobody likes doing this. Personally, the only thing that gets me through it is knowing there is probably a sale coming out the other side.

[ON SCREEN: "The conversation is a goldmine"]

An AI proposal writer knows your offering, knows your services, knows your client, and can also look into the discussions you have had before. Looking into the conversation is an absolute goldmine. Not only can you make sure the agreement fulfills every expectation you set with the client, you can tailor the language to mirror exactly what they highlighted as their goals for the engagement and the challenges and pains they are walking in with. That makes the proposal land so much better, without taking hours of a senior person's time.

These proposals can be created in under five minutes by an AI employee. And even if it is not ready to send immediately, maybe your AI employee needs a bit more training to be dialed in 100%, a team member can take what has been prepared, review it, and put the final 10 to 20% of finishing touches on it.

[ON SCREEN: "Senior time on the parts that matter"]

What I love about this is that a senior employee's time is not wasted typing repetitive, basic information into a template. Instead, he can spend that 30 minutes or that hour making the proposal the best proposal possible, focusing on the things that matter most and making sure those are top quality.

That is one of my personal favorite advantages of using AI employees. Proposal creation time can easily drop to 30 minutes or less, and the quality actually increases, because your best team members are only looking at the most important parts and doing whatever they can to make those two or three times better.

[ON SCREEN: "3. The status reporter"]

The third AI employee is a status reporter.

Whether it is management inside your company or your clients, everyone wants to know how projects are progressing. To do that today, a lot of teams pull data manually and compile the reports by hand. It might be semi automated, but it is still wasting valuable team member time. And that is if you are providing reports at all. If you only provide monthly reports, a lot of clients would prefer weekly or biweekly. Even if they do not read them, it helps them know you are on track, you are transparent, and everything is okay.

[ON SCREEN: "Auto send, or ping a human"]

Your status reporter can pull all relevant data in real time, say every Friday at the end of the week, and prepare the report based on a template. If everything in the report is great, it can go ahead and auto send it. If there are things in the report that might be alarming, it pings one of your team members on Slack, or whatever tool you use, and asks them to review it, soften it, or deliver it with additional context and a human note.

And even if you decide not to deliver the report, it is very important to have these alerts surface problems before they grow into major issues. A lot of teams are just busy, and things get missed or overlooked. This keeps you on track.

[ON SCREEN: "Transparency builds trust"]

I have personally seen this decrease a lot of the overhead in managing clients. Even if they do not read the report, they know you are on top of things. They do not have to worry about you. They do not have to ask for updates. A lot of the time they are not even asking because they care about the detail, they are asking to make sure you are doing what they are paying you to do. So this is a great way to elevate transparency and increase the trust you have with your client.

[ON SCREEN: "But our processes are too complicated"]

Every time I describe automation, I hear the same thing. Our processes are too hard to automate, too complicated, too much nuance.

I completely understand where that comes from, because I felt the same way just a few years ago. For example, most of the custom development we are doing at DataCose is now done by AI. If you had asked me two or three years ago whether that could be automated, I would have said absolutely no way. Maybe I could have read some of the writing on the wall and seen how AI was progressing, but it was impossible to imagine it handling nearly the whole software development life cycle. It is a complicated process, or so I thought.

[ON SCREEN: "SOPs and guardrails, not if then rules"]

Today's AI employees are not a piece of code running a bunch of if then rules and breaking at every edge case. They follow an SOP, and there are clear guardrails on what they can and cannot do. If they bump into something unexpected, they step back, observe, and start to reason about how to overcome the obstacle on their own. And if they cannot overcome it, they ping a human and explain in plain English what the blocker is and what they need in order to be unblocked.

For example, we have had API keys expire. Instead of a cryptic error buried in a server log somewhere, the AI employee pings a team member, tells them exactly what it needs, and gives step by step instructions to go into the system, generate the new API key, and provide it back. It is absolutely incredible.

[ON SCREEN: "A self optimizing machine"]

These AI employees are also capable of improving over time. If you define goals for each of your workflow SOPs, which really is not hard to do, you can have an AI manager meet with every single AI employee every day, look at everything they have done, and strategize together on how to improve that SOP to hit the goal more reliably or more quickly. It can surface real optimizations to each of your processes for you to review and approve every single week. It is truly building a self optimizing machine to power your entire business.

I truly believe that right now, about 50% of the tasks businesses do every day can be delegated fully to AI employees, and personally I am leaning closer to 80% based on what we are seeing. That is not a guess. It is what I see every day across working with over 50 service businesses.

[ON SCREEN: "Stop treating AI like a chat box"]

So the main takeaway I want to leave you with is this. Stop thinking of AI as just a chat interface. Start using it to actually do work for you, without you guiding it every step of the way.

If you would like me to show you exactly which AI employees you could benefit from the most, and how to implement them, there is a link in the description to book a free 30 minute inspection with me. During that inspection we will look at your specific business, your challenges, and your goals, and I will give you a clear plan to get 20 hours back on your calendar through the use of AI employees.

If you found this useful, please subscribe to the channel. I drop a new breakdown every single week. See you next time.

Client: Dylan Kinder, DataCose
Format: Long form
Published views: 53
Video: https://www.youtube.com/watch?v=TBGJ8oLyTXM
Content pillar: Founder Bottleneck
Hook template used: Story Open
Target runtime: 9 minutes (1386 words at 150 words per minute)

Title options
1. Build a Business That Runs Without You
2. I Took 2 Weeks Off and Nothing Broke. Here Is the System.
3. The 90 Day Digital HQ Build, Explained

Thumbnail direction
Dylan relaxed with his laptop closed, caps text overlay reading "2 WEEKS OFF. NOTHING BROKE." Behind him, a clean real time project dashboard on a monitor, all green statuses. Calm, confident expression.

The script

[ON SCREEN: "2 weeks off. Nothing broke."]

I just took two weeks completely off. No Slack, no email, no client calls. And the best part was that when I came back, every project was on track, every client had been updated, and revenue had not dropped.

I am not sharing that to flex. I am sharing it to show you that it is actually possible. In this video I am going to show you exactly how it works.

I am Dylan, founder of DataCose. We build digital HQs for service businesses. They are custom operating systems where your human employees work, and where your AI employees work too.

[ON SCREEN: "50 to 80% can be automated"]

From what I am seeing, about 50 to 80% of service business work can actually be automated by AI employees. When you do that, you free up your human team members to do incredibly high value work.

I spent the last five years learning how to actually build digital HQs and hire AI employees that work. First for my own agency, and then across over 50 service businesses in industries ranging from law to accounting, finance, marketing, and many more.

In this video I want to pull back the curtain on what a digital HQ actually is, how it is built, and what it changes for a service business. This will not be a bunch of theory or complicated technical concepts. It is what I actually see when a service business owner comes to me for help, and all the progress we make together in just 90 days.

[ON SCREEN: "4 problems that are always true"]

Before we dive into the solution, let me start with the problem. In almost every service business that comes to us, there are four problems that are always true.

First, important business knowledge about processes, clients, and deals lives inside people's heads, not inside systems. The only way to get an update on a project or a task is to ask the person managing it. If they are unavailable, or if they leave, you are completely stuck.

Second, AI is completely underutilized. More often than not, it is just a little email editor, and it can do so much more. People have ChatGPT open in the browser and use it for a quick draft here, a quick email response there. That is nowhere near an AI employee. It is an assistant winging it alongside one team member, with no proper guardrails, no accountability, and no way to spread that work across the organization to make a real impact.

[ON SCREEN: "10 plus tools that don't talk"]

Third, data is scattered across 10 or more tools, and of course the tools do not talk to each other well. Some integrate halfway, enough to keep the lights on, but it is far from ideal or efficient. On top of that, we see a lot of aspirations for how processes should work, and in reality people do not follow them. Ask yourself how well you are maintaining your CRM notes about your current customers, your leads, and the deals in your pipeline. That is one area where the ball is dropped constantly.

And the last thing these businesses have in common is that the founder, or one key member of leadership, is the biggest bottleneck in the business. Everything depends on them. If they are unavailable, or sick, or in the worst case they leave and can no longer continue working, it is a house of cards that crumbles immediately.

[ON SCREEN: "Simple problems have simple solutions"]

Here is the good news. What I just described are not people problems. They are simple problems, and simple problems have simple solutions.

So let us move into the digital HQ. What is it? It is a single source of truth application that fits your business perfectly. It is not a generic SaaS tool, and it is not something non technical people wing and throw together. It is engineered for your success and your growth.

Here are the things it most often contains.

[ON SCREEN: "1. Real time project dashboard"]

First, a real time project dashboard, where every client, every project, every deliverable, and every timeline is visible in real time and visible at a glance. You do not have to ask for status updates. Everyone is literally on the same page.

Second, automated workflows. From creating tailored custom proposals for your leads, to onboarding new clients, to managing agreements and invoices, to sending regular status updates and reports to your clients on their projects. Your systems should be moving work automatically through the pipeline, and only pulling in a human when it is actually necessary.

[ON SCREEN: "3. Real AI employees"]

The third thing inside a digital HQ is AI employees. This is one of the most exciting advancements of the last six months. Not AI chatbots. Actual AI employees, responsible and held accountable for a very specific workflow.

For example, a proposal writer who creates tailored proposals based on all of the sales call transcripts you have with a customer. A project report builder that looks at every active project and compiles a weekly overview report for management or for the team, so everyone is on the same page and nothing falls through the cracks. A CRM logger that documents every client interaction over call, email, or text the moment it happens.

[ON SCREEN: "4. Institutional knowledge base"]

And the last critical part of the digital HQ is an institutional knowledge base. This gets all of the processes, the logic, the conditions, and the decisions out of people's heads and into a sellable system.

That means any new team member can immediately jump in and start doing meaningful work. When someone leaves, their replacement can be onboarded at lightning speed, often within a week, because everything they need is in the system. It is not trapped in their predecessor's memory.

[ON SCREEN: "How we build it in 90 days"]

So here is how we actually build it in just 90 days.

We start with an inspection. Just 30 minutes to look at your business at a high level from A to Z. We track a dollar through the entire process, looking for where your most expensive team members are spending the most time on things AI employees should be handling automatically.

From there, we design a road map. This is the path forward to the perfect digital HQ for you. Every core workflow mapped, every essential AI employee defined, and every key integration specified. We always build the road map before writing any code, so there is no waste and we can move as fast as possible to get you fully running within 90 days.

[ON SCREEN: "Planning is the difference"]

That kind of planning makes all the difference between a project that falls flat on its face and does not live up to expectations, and one that hits the mark and makes a significant impact, not just today but on the future of the business.

Once the road map is locked down and airtight, we build. We have guiding principles and best practices for what makes a successful digital HQ. It is not a template. It is custom code and custom logic built around exactly how your business operates. We build it, we launch it, we onboard the team, and then we make sure it is delivering the value we all expected from the beginning.

[ON SCREEN: "Why wait?"]

So if an inspection only takes 30 minutes, why not see whether this could be the thing that takes your business to the next level and lets you fully capitalize on the opportunity AI is presenting?

The longer you wait to start implementing, the farther you fall behind, and the less opportunity you have to make a big exit in the next few years by being first to market. Especially if your business is bottlenecked by you, or by one or two key players on your team, this is an investment that quickly pays for itself. You really owe it to yourself, because as business owners we are trying to build an asset that is sellable and something we can exit one day.

[ON SCREEN: "Book a free 30 minute inspection"]

So again, to see if this is right for you, there is a link to book your free 30 minute inspection in the description. I run every single one of them personally. Typically I am able to find 40 hours of wasted time that I can put back on your calendar and your team's calendar. That is valuable knowledge you are free to keep regardless of whether we work together or not.

If this video was useful, please subscribe. I post a new breakdown every single week. See you next time.

Client: Dylan Kinder, DataCose
Format: Long form
Published views: 50
Video: https://www.youtube.com/watch?v=pdK8WWoOYRE
Content pillar: Margin and Scaling
Hook template used: Question Hook
Target runtime: 7 minutes (1076 words at 150 words per minute)

Title options
1. Why Hiring More People Destroys Margins
2. The Growth Trap Killing Your Profit Margins
3. Why Sub $1M Businesses Out Earn $3M Businesses

Thumbnail direction
Dylan next to a simple line graphic where revenue climbs and margin falls, caps text overlay reading "MORE PEOPLE, LESS PROFIT". Direct eye contact, slight frown, one accent color on the falling line.

The script

[ON SCREEN: "Why is growth so hard?"]

Why is growing a service business so challenging?

I have sat across the table from dozens of service business owners and I have heard the same thing many times. Their revenue is up, their team is bigger, but somehow every step forward feels like a half step backwards. They are not wrong. It is not bad luck. It is math.

My name is Dylan. I run DataCose. I have worked with over 50 service businesses in the past five years, from small agencies to large firms doing eight figures. I have seen the same growth trap destroying profit margins at every revenue level.

[ON SCREEN: "I lived it too"]

I have also seen it in my own business. I grew my agency to over 20 team members. One hire at a time, one problem at a time, one fire at a time. And while revenue hit numbers I was proud of, the profit told a different story. That experience is exactly why I build what I build now.

In this video, I want to show you exactly what is happening inside your business, and what the best service businesses do to grow with great margins.

[ON SCREEN: "The math of the trap"]

So here is the math of the trap in a service business. Every client requires more output. More output requires more people. More people require management, and management is expensive and it does not directly generate revenue. So your revenue grows, your team grows quickly, and your margins start to shrink.

The sneakiest part is that it feels like you are winning. You are hiring, you are busy, you are growing. But the number that matters most is trending in the wrong direction.

I have seen sub million dollar companies generating more profit than three million dollar businesses. The difference is almost never the offer or the pricing. It is the system underneath the business.

[ON SCREEN: "Where the money actually goes"]

Let me tell you where the money actually goes. It is not the salaries on paper. It is the hidden cost of what those salaries are being spent on.

CRM notes after every call. Status updates to every client. Copying and pasting data between a dozen disconnected tools. Drafting proposals slightly differently every time instead of following a standard process. Following up with leads who went quiet. Chasing your existing clients to do the things you need them to do.

These tasks are not strategic. They do not move the business forward. They are manual and repetitive, and in 2026 every single one of them should be handled by an AI employee, not by a person on your payroll.

[ON SCREEN: "31% of senior time"]

We just audited one client and found that 31% of their senior team's time was being spent on these types of tasks. Tasks that could be fully automated, wasting the time of their most expensive people. This is the hidden tax that does not show up as a line item on your P&L, but it definitely shows up in your margins.

The businesses with the best revenue per employee are doing something different. They build scalable systems before they actually start scaling. At DataCose, we call these systems a digital HQ.

[ON SCREEN: "What a digital HQ is"]

Simply put, a digital HQ is a place where your human employees can work and your AI employees can also work. It is not an off the shelf tool like ClickUp, Asana, or Notion. It is custom built for you, your team, your clients, and your business.

From the moment the client pays to the moment the work is delivered, the system tracks everything and does the work in the background, only raising exceptions for your team to handle manually.

The result is that one person can manage what used to take three. Your best people only spend time on things that actually grow the business and move the needle. And every new client you add costs a fraction of what it used to cost to service.

[ON SCREEN: "Tripled capacity, zero new hires"]

We have literally had clients who tripled their capacity after building a digital HQ without making a single new hire. That is what leverage through building systems actually looks like.

Here is the part most founders underestimate. When you build a system like this, you are not just improving your margins today. You are building an asset that makes the business more valuable and more attractive to a buyer tomorrow.

Buyers do not buy jobs. They buy systems. A business with a working digital HQ and a team of AI employees doing 50 to 80% of the operations is fundamentally different from every other service business in your industry on the market. And it is so much more attractive to a buyer than one bottlenecked by the founder or a couple of key senior people.

[ON SCREEN: "Find the leaks first"]

To move in this direction, the first step is not to start building. The first step is to see where your business is actually leaking.

I run a 30 minute inspection with service business owners where we look at your business from A to Z, tracking the dollar from the first moment a client pays all the way to the end of your process. We look for leaks. We look for where your most expensive people are wasting time on things they should not be touching.

For most service business owners I speak with, I am able to find 60 to 80 hours of wasted time per week during a 30 minute call. I actually guarantee that I can find at least 20 hours of wasted time across your team, or I will pay you $500 for wasting your time. The inspection is free, and you keep the findings whether we work together or not.

[ON SCREEN: "90 days to a digital HQ"]

I recommend starting there. See if this is even the right direction for you. Does it make sense for you, your goals, and your service business? From there, we design the specific road map for your business to help you reach those goals.

That is all it takes. 90 days to get your digital HQ and your first team of AI employees, and to start building a better business that runs without you.

So stop trying to hire your way to better margins. We know the long term cost of that strategy. If you want to see whether a digital HQ and AI employees could work for you and your business, the link to book an inspection with me is in the description. In just 30 minutes together, I will show you exactly where your profit margin is leaking. See you in the next one.

Client: Dylan Kinder, DataCose
Format: Long form
Published views: 22
Video: https://www.youtube.com/watch?v=UGyO51ZtL9U
Content pillar: Client Case Study
Hook template used: Shock and Stat
Target runtime: 18 minutes (2650 words at 150 words per minute)

Title options
1. How This Founder Scaled 382%
2. 30 Members to 600: Inside a 382% Year
3. The Founder Interview: Building Renaissance Club From Google Docs to a Custom Platform

Thumbnail direction
Two shot interview framing, Dylan on the left listening, Mike on the right mid sentence, with a bold caps overlay reading "382% IN ONE YEAR" across the lower third and a smaller line reading "30 MEMBERS TO 600". Keep the setup clean and conversational, no stock imagery, so it reads as a real founder interview.

The script

[ON SCREEN: "382% in one year"]

MIKE: We grew 382% in the last year alone. When we started, we were struggling to get 20 or 30 paying members for months. Today we have over 500 active recurring members, nearly 600 now, and we are generating roughly 50,000 a month in gross revenue.

DYLAN: Today I am sitting down with Mike, the founder of Renaissance Club, to talk about what we built together, what it took, and the numbers on the other side of it. Mike, let us start at the beginning. What were your biggest concerns when you went looking for a dev team?

[ON SCREEN: "The concern: not just an engineer"]

MIKE: The biggest struggle was figuring out how to build a system that filters and organizes data in a way that reduces complexity and makes doing this at scale possible. So my biggest concern was finding someone who was not merely an engineer, but an actual data scientist and a systems expert. Someone who can think big and hold the immense complexity of how a system like that gets designed most efficiently in reality, not just in theory.

DYLAN: And beyond the tech, were you also looking for someone who could understand the business side?

MIKE: Oh yeah, absolutely. I wanted the most holistic view possible, from every line of code all the way out to the emotional human experience, and everything in between, end to end. It is not enough to just have a generalist, and it is not enough to have a sniper expert. Having people who can really fill both roles is a unicorn, but it is really important.

[ON SCREEN: "Why DataCose?"]

DYLAN: So why did you ultimately choose DataCose?

MIKE: I chose DataCose because I felt like I got exactly that. I felt like I was getting a team that had specialized experts and a generalist, holistic understanding of what we are really trying to accomplish. Which is not just lines of code. We are trying to create an emotional experience for people and provide real value. I felt so taken care of by you and everyone on the team. It was a very natural process.

DYLAN: Can you tell people what we actually built for you? What is the solution in the end?

[ON SCREEN: "It started in Google Docs"]

MIKE: I mean, we built everything together. It is not like I had a whole platform half ready to go and you guys just improved it. When Renaissance Club started, it was Google Docs. I was sending emails and putting things in Google Sheets. DataCose was in it from the very ground floor. Literally none of this was possible without you and your team.

We started with a hybrid approach, sort of Airtable but souped up with a custom platform on top. And after two and a half, three years, we are now building a completely custom platform. That is the only thing that has allowed this to even happen.

[ON SCREEN: "No blueprint to copy"]

DYLAN: I want to ask about the early days specifically. In the beginning it is scrappy. There are funding constraints, time constraints, all these tight constraints, and you are trying to balance building the best product at the lowest cost in the fastest time. How did we work through that with you?

MIKE: This was a relatively radical idea, and there really was no blueprint for it. So DataCose was absolutely essential in being ultra flexible. We were trying to build a minimum viable product that people could actually use, and you and Wouter were instrumental in helping me decide what should ship and what should stay. What we should push to later, what is less important, what is more important, what is crucial. That was a lot of conversation, a lot of big picture and creative thinking before anything was even built. This was an absolutely untouched space.

[ON SCREEN: "Most products have a road map. This one didn't."]

DYLAN: With most products there is a road map. Many people have done it before, so you know roughly what to build, then you pick your differentiator and ship it to market. A lot of the time the difference is more in the marketing than in the thing itself. An insurance company is an insurance company. They all work the same way, the terms are just different. With you, we were building a completely new product.

MIKE: That is right.

DYLAN: And I should be transparent, Renaissance Club is a unique project in our portfolio. We are not typically bringing brand new ideas to life. It is more risky and honestly a lot harder. Most of our projects go into existing businesses, typically service based businesses, helping them productize a service that already works. There are proven workflows and a road map, and the chances of success are much higher.

[ON SCREEN: "The relationship is the project"]

DYLAN: Which is why, on a project like yours, your attitude and how you show up defines so much. We have to work together, and there are going to be problems and challenges and tough things. It is a really hard thing that we are doing together.

MIKE: Absolutely, and that goes both ways. You guys are unbelievably professional, but also very human and friendly and kind. I do not feel like I am working with a corporation. I feel like I am working with a group of human beings. I think that is crucial to feel on both sides.

[ON SCREEN: "Staying on the edge"]

MIKE: One thought I really appreciate about DataCose is how you are constantly researching and trying to stay on the cutting edge of what is possible. The tech sector is probably the fastest growing and fastest changing sector in the world, and it has been for a while, so keeping up with what is possible is its own full time job.

You guys are not resting on your laurels. You could solve tons of problems for tons of people without learning anything new, maybe keeping up with a few updates here and there. Instead you are constantly stretching yourselves. As a client, that makes me feel so safe, because I know what we are building uses those new capabilities, even if it is the first time you are using them. You are not afraid to move fast and try new technologies and new protocols. That is one really crucial reason I feel like we will not be left behind.

[ON SCREEN: "The AI conversation has changed"]

DYLAN: There are some exciting things coming your way with AI first.

MIKE: Oh yeah. I have been thinking a lot about how to use it. Funny enough, we originally felt AI was not useful in many cases, because it was more uncertain than the algorithm we had already built. But for things like suggested itineraries, that is changing.

DYLAN: I would say the conversation we had before is not the same conversation anymore. The tech has really improved. Back then it was not feasible. Now I think it is coming your way. As a side note, this quarter we are really focused as a company on AI. We are doing a lot internally to experiment with it, and the idea is to be able to lead you and our other clients through the next few years, because I think it is going to change everything.

[ON SCREEN: "AI as a tool, not a threat"]

MIKE: There is no question. Figuring out how we continue to be valuable to people is a big reason I wanted Renaissance Club to pivot toward community, because that is something AI cannot solve. AI can give people suggestions for great experiences that meet all their criteria. It can do that. What AI cannot do is give them deals on it, at least not consistent deals on everything, and it cannot ensure that you are going to be at that pottery class with ten other members of a like minded community.

So leaning into community building while removing all the friction from discovering experiences, in one hybrid social engine, is really what we are trying to build now. AI will be a tool there, not a threat.

DYLAN: It is really good that you are not just thinking about it, you are aligning your strategy to be AI friendly. AI is starting to have some notion of tasks and schedules, sending reminders, doing things. It is moving toward potentially even booking something for you. But past that point, the rest has to be engineered. It has to be put together by someone. It has to be deliberate.

[ON SCREEN: "The numbers"]

DYLAN: Let us talk about outcomes. What quantifiable improvements have you seen since implementing?

MIKE: I do have very good quantifiable numbers, and that is really thanks to DataCose. We grew 382% in the last year alone. When we started, we were struggling to get 20 or 30 paying members for over a few months. Today we have over 500 active recurring members, nearly 600 now, and we have had more than a thousand members total since we started. We are currently generating roughly 50,000 a month in gross revenue.

We are also generating tens of thousands of dollars per month for small local businesses and vendors. So we are really bolstering small local businesses, which is a huge piece of why we exist. To help not just members, but vendors that people normally would not stumble on.

[ON SCREEN: "Retention is the real proof"]

MIKE: What I am most proud of, though, is that we have so many members who have been with us for over a year, and some for more than two years now. That shows me what we have built is not merely a fun sounding idea. It is one that delivers consistent value that makes people keep coming back.

DYLAN: Can you share a story about working with DataCose?

MIKE: It is hard to share just one, because there are so many examples. DataCose has consistently gone above and beyond in every way imaginable. What I love most about this team is that you do not feel like robots for hire who merely do whatever I ask and execute. Every team member treats this project like an owner. You are incredibly engaged, no egos. We very much have a best idea wins mentality and nobody is afraid to disagree if they feel something can be better or done more efficiently.

[ON SCREEN: "Weekends and vacations"]

MIKE: There have been so many cases where Wouter or Radon or you met with me on weekends, or while on vacation, to solve urgent problems. I never want to abuse your time, but you have been incredibly generous and honest, which is invaluable for a first time solo founder bootstrapping the cost of everything.

Transparency and honesty are enormous. Being able to go to sleep at night knowing you are not being exploited or stretched for money, that nobody is saying this will take ten hours when it could really take one or two. People who are not in this world do not always know how much that matters. You just make people feel super safe. So it is not really a story, it is more a constant tone of gratitude.

[ON SCREEN: "Same side of the table"]

DYLAN: We take that really seriously. I feel the same way about the team. I know that if something breaks, I can trust them to go handle it. You and I are on the same side of this.

MIKE: We absolutely are. It is crazy, because especially getting into something for the first time, you expect the first three relationships you have to go really poorly. To be fair, I did interview four or five people. I found you guys on Upwork. But after talking to you, I felt by far the most confident.

[ON SCREEN: "The red flag: instant yes"]

MIKE: And maybe this is a story of sorts. I remember distinctly that everyone else I interviewed very quickly said, oh yeah, yeah, we can do that, no problem. That is usually a red flag for me, because I do not think they actually heard what we were trying to build. If you are very quick to say of course we can do it, no problem, I do not think you truly listened.

You were very thoughtful. You really considered everything I was saying, and you were cautious and slow about what was possible because you were deeply trying to understand. This was back at the very first iteration. Renaissance Club has evolved tremendously since then, but even that first idea was quite complex. You were so transparent. Here is what I think we can build, and it is going to take a lot of talking and back and forth. There was none of this pay up, relax for two months and we will have it done. It was, this is going to be a consistent conversation and there are a lot of unknown unknowns. That gave me the confidence that you were really listening and trying to stay aligned with me, not just trying to get a paycheck.

[ON SCREEN: "The call where everyone was wrong"]

DYLAN: I have a funny story for you while we are here. A few weeks ago there was a call where internally there was a disagreement about how something should function. Radon had a bet on how it should work. It was about whether a time should be clickable and selectable, and what the function of a certain view actually is. Radon said the real use of that view meant the time should not be clickable, which felt very counterintuitive. Wouter and Casper immediately said, well, obviously it should be clickable. But there was a reason it should not be, and Radon was in fact right.

MIKE: I do remember that. That is hilarious.

DYLAN: And later in that same call, we were all stuck on another problem, and Irina, who had been quietly listening the entire time and had not said a word, suddenly said, can I suggest something? And she came up with a solution that immediately made everyone go, oh, duh.

MIKE: I just remember party hat emojis flying up. It was really cool. I love those collective calls where everyone is firing creatively, not just executing tasks. It feels like working with a bunch of artists. Technical artists. It is really cool.

[ON SCREEN: "So what is Renaissance Club?"]

DYLAN: Last thing. For anyone watching who does not know, how would you introduce Renaissance Club?

MIKE: One line I have been saying recently is, if life had a surprise me button, this would be it. We are a membership service that sends members on a unique mystery experience, prepaid, each month. Everything from archery to pottery, cooking classes, kayaking, blacksmithing, helicopter flight lessons, and a hundred other experiences.

I noticed that adult loneliness and stagnation are two problems that are separate but interrelated. People tend to be very stuck in their routines and in the general monotony of a life or a relationship. My hypothesis was that the reason for that, more than anything, is friction. It is basic human nature to take the path of least resistance, and we often do not explore new things proactively because it requires so much research, planning, and logistics to try new things on a regular basis.

[ON SCREEN: "It's like running an airline"]

MIKE: So Renaissance Club was a question and an attempt to see if you could remove all of that friction for people, end to end, in a way that actually works in reality. With their changing lifestyles, with all the complexities of the vendors, and all the complexities of the members and their criteria and availability.

In that way, the project is a little bit like creating an airline. You have all these moving parts you need to constantly connect in a systematic way. And this is not possible without a team that is obviously very tech savvy, but also very high level and systems oriented. That is really the whole art form. How do you organize all of this information in a way that is actually useful, so a concierge can book somebody for the perfect experience with the perfect people, in under five minutes, out of a hundred choices? How do you do that? That is really what we are doing. Which is miraculous that we were able to do it.

DYLAN: That is great, Mike. Thanks for doing this.

Client: Dylan Kinder, DataCose
Format: Short form
Published views: 904
Video: https://www.youtube.com/watch?v=1hV3BSLDkcQ
Content pillar: Systems and Automation
Hook template used: Contrarian Take
Target runtime: 1 minute (107 words at 150 words per minute)

Title options
1. Everything's going great, said every employee
2. Your Team Is Not Telling You The Truth
3. The Dashboard That Kills Status Updates

Thumbnail direction
Dylan mid frame, arms open, skeptical half smile, with caps text overlay reading "IT'S GOING GREAT" and a small red down arrow beside it. Keep the background as the live dashboard screen so the payoff is visible in one glance.

The script

[ON SCREEN: "Everything's going great"]

Your employees are lying to you, but not on purpose. When you ask how the project is going, they say good, because nobody wants to look bad. And too often, as the business owner, you have no idea what is actually happening until it is too late.

The fix is simple. Real time dashboards. No more checking in just to get an update. You look at your dashboard and you immediately see the truth.

[ON SCREEN: "What you measure, you improve"]

And this level of transparency actually helps your team hit their targets. What you measure, you improve. Comment dashboard and I will send you the full list of metrics you should be tracking.

Client: Dylan Kinder, DataCose
Format: Short form
Published views: 785
Video: https://www.youtube.com/watch?v=K4EcoKkgNeQ
Content pillar: Margin and Scaling
Hook template used: Contrarian Take
Target runtime: 1 minute (99 words at 150 words per minute)

Title options
1. Billionaires just have bigger levers
2. Billionaires Do Not Work Harder Than You
3. Build a Bigger Lever, Not a Bigger Team

Thumbnail direction
Tight shot of Dylan, calm and direct, caps text overlay reading "BIGGER LEVER, NOT BIGGER TEAM". Simple dark background so the line carries the frame.

The script

[ON SCREEN: "They just have bigger levers"]

Billionaires do not work harder than you. They just know how to create more leverage.

Leveraging people is slow, it is messy, and it is insanely expensive. Leveraging AI is cheap, it is instant, and it never sleeps. We are in a unique window right now where you can build an AI first infrastructure that runs for a fraction of the price of a human team.

[ON SCREEN: "Build a bigger lever"]

So the best way to scale is not building a bigger team. It is building a bigger lever. Are you ready to get ahead? Comment leverage and I will send you the blueprint.

Client: Dylan Kinder, DataCose
Format: Short form
Published views: 770
Video: https://www.youtube.com/watch?v=0nIRZaiXwwI
Content pillar: Systems and Automation
Hook template used: Story Open
Target runtime: 1 minute (97 words at 150 words per minute)

Title options
1. Service delivery system in 4 weeks
2. I Built My Entire Delivery System in 4 Weeks
3. This Is Not Airtable. It Is a Digital HQ.

Thumbnail direction
Dylan holding his phone up toward camera showing the live project view, caps text overlay reading "4 WEEKS". Confident, slightly amused expression.

The script

[ON SCREEN: "4 weeks. Whole delivery system."]

I built an entire system to manage my service delivery in just four weeks. And I am not talking about a generic tool or some fragile Airtable or Notion workspace. It is a custom digital headquarters for my business. It is a brain that tells my humans and my AI exactly what to do.

[ON SCREEN: "Every project. Every dollar."]

I have full visibility into every project, every dollar, and all communication from my phone. While my competitors are out there handling fires, I am watching my team hit their targets. Want to see the setup? Comment show me below for a walkthrough.

Client: Dylan Kinder, DataCose
Format: Short form
Published views: 222
Video: https://www.youtube.com/watch?v=R0MKXDb0xf4
Content pillar: Founder Bottleneck
Hook template used: Warning
Target runtime: 1 minute (182 words at 150 words per minute)

Title options
1. The Bottleneck Is You
2. You Are the Bottleneck in Your Own Business
3. Stop Being the System. Start Building One.

Thumbnail direction
Dylan pointing at the lens, serious expression, caps text overlay reading "THE BOTTLENECK IS YOU" with a thin arrow pointing back at him.

The script

[ON SCREEN: "The bottleneck is you"]

The single biggest bottleneck in your business is you. Every DM you answer, every decision you make, and every approval you give is proof of that. Here is the one decision I made that changed my business and gave me back a ton of time.

I used to believe that staying on top of everything happening was good for the business. That is actually what made the business fragile and prevented its growth. If everything goes through you, the business cannot scale past your bandwidth, and no matter how incredible you are, your bandwidth has a cap. At least at 24 hours a day.

[ON SCREEN: "Build the system outside of you"]

The shift is simple in concept and hard in execution. You need to stop being the system and start building a system outside of you. You do that by taking everything that lives in your head and putting it inside a digital HQ. There, your human employees and your AI employees can do the work without pulling you into every decision, and the business keeps moving forward. This is how the best business leaders are thinking in 2026.

Client: Dylan Kinder, DataCose
Format: Short form
Published views: 212
Video: https://www.youtube.com/watch?v=dD2Ow8K3c1w
Content pillar: Systems and Automation
Hook template used: Contrarian Take
Target runtime: 1 minute (132 words at 150 words per minute)

Title options
1. Your knowledge is buried in 200 Slack channels
2. Slack Is Where Your Business Knowledge Goes to Die
3. Build a Jarvis for Your Company

Thumbnail direction
Dylan beside a wall of blurred Slack channels, unimpressed expression, caps text overlay reading "BURIED IN 200 CHANNELS".

The script

[ON SCREEN: "200 channels. Zero knowledge."]

Slack and email are great for chatting, but they are terrible for storing business knowledge. When your data is buried in 200 channels and thousands of email threads, it is invisible to you, to your team, and to your AI.

I am using all of that communication in my own business to build a competitive moat and to build my own custom AI. I have built a digital HQ that gives our human employees and our AI employees one place to see everything going on in the business.

[ON SCREEN: "Like a Jarvis for your company"]

Now we work faster and we make far better decisions. It is like having a Jarvis for our company. Want to scale faster with AI? Drop a rocket in the comments and I will show you exactly how to build your own AI brain.

Client: Dylan Kinder, DataCose
Format: Short form
Published views: 179
Video: https://www.youtube.com/watch?v=AGVzeGsb1-0
Content pillar: Margin and Scaling
Hook template used: Warning
Target runtime: 1 minute (124 words at 150 words per minute)

Title options
1. The Invisible Cap
2. The Hidden Ceiling on Every Service Business
3. Your Ceiling Is Not Sales. It Is Capacity.

Thumbnail direction
Dylan with his hand flat above his head like a low ceiling, caps text overlay reading "THE INVISIBLE CAP". Neutral, serious expression.

The script

[ON SCREEN: "The invisible cap"]

There is a hidden ceiling on every service business. Most owners hit it and have no idea why they are stuck. The ceiling is not the market and it is not your sales ability. It is your operational capacity.

When you can only handle as many clients as your team can manually manage, you cap yourself. Every new client becomes a new management problem. Every new project only adds to the chaos.

[ON SCREEN: "Capacity is a system problem"]

The businesses that break through this are not trying to hire their way through the ceiling. They are building digital HQs. One system that 10x's the output of every person on the team. In today's age, with tech and AI, capacity becomes a system problem. And system problems have clear engineering solutions.

Client: Dylan Kinder, DataCose
Format: Short form
Published views: 178
Video: https://www.youtube.com/watch?v=OZ_iOeYdDgQ
Content pillar: Margin and Scaling
Hook template used: Story Open
Target runtime: 1 minute (88 words at 150 words per minute)

Title options
1. Stole this from a $10M company
2. What a $10M Company Taught Me About Hiring
3. Never Hire for Capacity. Hire for Capability.

Thumbnail direction
Dylan leaning in like he is sharing a secret, caps text overlay reading "STOLEN FROM A $10M COMPANY".

The script

[ON SCREEN: "Stolen from a $10M company"]

I stole this from a $10 million company and it changed my entire approach to business. This company never hired for capacity. They hired for capability, and then they built systems to 10x the output of those A players. One person could manage 50 clients because the system did all the heavy lifting.

[ON SCREEN: "Small team. Great systems."]

That is when I realized that small teams with great systems beat large teams with a lot of chaos. Save this so you have it when you are ready to scale, and follow for more.

Client: Dylan Kinder, DataCose
Format: Short form
Published views: 132
Video: https://www.youtube.com/watch?v=MI6J2Cqol0k
Content pillar: Founder Bottleneck
Hook template used: Story Open
Target runtime: 1 minute (168 words at 150 words per minute)

Title options
1. You Cannot Take a Vacation
2. I Took 2 Weeks Off and Nobody Noticed
3. If It Breaks When You Leave, You Own a Job

Thumbnail direction
Dylan relaxed, phone face down on the table, caps text overlay reading "2 WEEKS OFF. NOBODY NOTICED."

The script

[ON SCREEN: "2 weeks off"]

You have not taken a vacation in two years. Not because you do not want to, but because the moment you leave, everything breaks. I just took two weeks off and nobody noticed. Here is how I made that possible.

When you are the system, you cannot leave. Every decision, every escalation, every client question routes back to your DMs. The fix is usually not another hire. It is a better system. A system where your processes happen automatically in the background and they are not dependent on any person, including you.

[ON SCREEN: "A business, not a job"]

Your team logs in and the system tells them exactly what to do, what to prioritize, and it raises the alarm if anything is off track. That alone eliminates so many status calls, check ins, and updates. Your business should run whether you are there or not. If it does not, then you own a job and not a business. Follow me to see how I help service business owners build companies that run without them.

Client: Dylan Kinder, DataCose
Format: Short form
Published views: 131
Video: https://www.youtube.com/watch?v=GhTrS7yyzHQ
Content pillar: AI Employees
Hook template used: Warning
Target runtime: 1 minute (113 words at 150 words per minute)

Title options
1. AI Employees or Traditional Hiring?
2. AI Is Not Coming for Jobs. It Is Coming for Businesses.
3. 30 Service Businesses Later, Here Is What I See

Thumbnail direction
Dylan straight to camera, serious, caps text overlay reading "10X THE WORK. 50 CENTS AN HOUR." Split background hinting at a crowded team on one side and a single operator on the other.

The script

[ON SCREEN: "It's coming for our businesses"]

AI is not just coming for our jobs. It is coming for our businesses. While you are busy managing a bunch of people and a bunch of tools, your competitors are building teams of AI employees. They do ten times the work and cost 50 cents an hour.

[ON SCREEN: "Old way is crawling"]

I have worked with over 30 service businesses this year alone, and the ones scaling the old way, by increasing their head count, are crawling compared to the ones with a few team members heavily backed by AI. This is our chance to take on the giants of our industries. Follow for a behind the scenes look at how to scale service businesses with AI.

Client: Dylan Kinder, DataCose
Format: Short form
Published views: 127
Video: https://www.youtube.com/watch?v=WOalo4hu7Hk
Content pillar: Margin and Scaling
Hook template used: Contrarian Take
Target runtime: 1 minute (119 words at 150 words per minute)

Title options
1. Most founders think they have a people problem
2. You Do Not Have a People Problem
3. Watch This Before Your Next Hire

Thumbnail direction
Dylan shaking his head slightly, caps text overlay reading "PEOPLE PROBLEM?" with the word crossed out and "SYSTEMS PROBLEM" underneath.

The script

[ON SCREEN: "People problem or systems problem?"]

Many founders think they have a people problem when they actually have a systems problem. Hiring for scale is often a trap. Let me explain.

The more people you hire, the more people you need just to manage them. That makes your margins shrink so much you start to question whether it is even worth scaling.

[ON SCREEN: "$500,000 per employee"]

I have seen service businesses pulling in 500,000 in revenue per employee because they invested in great systems. That also makes the business easier to sell, and at a higher multiple. So scale your systems to avoid scaling your problems. Save this to watch before your next hire, and follow along if you want to see the new way to scale service businesses.

Client: Dylan Kinder, DataCose
Format: Short form
Published views: 115
Video: https://www.youtube.com/watch?v=iSVRJqpsKRE
Content pillar: Margin and Scaling
Hook template used: Warning
Target runtime: 1 minute (149 words at 150 words per minute)

Title options
1. The Leverage Equation
2. The Most Expensive Hire You Can Make in 2026
3. The Fastest Growing Businesses Have the Smallest Teams

Thumbnail direction
Dylan at a whiteboard with a simple two column comparison, caps text overlay reading "THE LEVERAGE EQUATION". Focused, mid explanation expression.

The script

[ON SCREEN: "The wrong hire is expensive"]

Hiring the wrong person to grow your service business is one of the most expensive mistakes you can make right now. The businesses scaling the fastest in 2026 have the smallest teams. Here is the math behind why.

Creating leverage through people is slow, messy, and expensive. You need to recruit, train, manage, and retain every single one of them. Leverage through AI is fast, cheap, and available all around the clock. One AI employee often costs less for an entire month than one hour of your senior person's time.

[ON SCREEN: "Pull a better lever"]

The founders winning right now are focused on building their AI teams. Then, if you hire strategically on top of that, your overhead will be a fraction of the competition, and those team members will produce at least twice the output, if not more. For most service businesses, more people are not the answer. Pull a better lever instead.

Client: Dylan Kinder, DataCose
Format: Short form
Published views: 104
Video: https://www.youtube.com/watch?v=Hharzhkuskk
Content pillar: AI Employees
Hook template used: Shock and Stat
Target runtime: 1 minute (97 words at 150 words per minute)

Title options
1. 50% of service businesses are on their way out
2. Half of Service Businesses Are Walking Corpses
3. Automate Today or Regret It Tomorrow

Thumbnail direction
Dylan blunt and unsmiling, caps text overlay reading "50% ARE ALREADY DEAD". Dark, high contrast frame.

The script

[ON SCREEN: "50% are walking corpses"]

50% of service businesses are walking corpses. If you own a service business and you have not automated an entire workflow yet, you probably already have one foot in the grave.

While you are paying humans to move data between systems, your competitors are building AI employees that do 100 times the work for pennies on the dollar.

[ON SCREEN: "Start today"]

This is not science fiction anymore, and AI is not going anywhere. Seriously, start automating today or start regretting it tomorrow. Ready to automate? Comment AI and I will send you the highest ROI AI employee to hire first.

Client: Dylan Kinder, DataCose
Format: Short form
Published views: 81
Video: https://www.youtube.com/watch?v=tPC3_QJtuis
Content pillar: Systems and Automation
Hook template used: Story Open
Target runtime: 1 minute (194 words at 150 words per minute)

Title options
1. The Data Science Trap
2. My Data Science Degree Taught Me the Wrong Lesson
3. 60 Service Businesses Later, Here Is What Separates Them

Thumbnail direction
Dylan seated, hands open, caps text overlay reading "3 YEARS WRONG ABOUT DATA". Keep a single clean dashboard visible behind him.

The script

[ON SCREEN: "I got data completely wrong"]

I have a master's degree in data science, and I still wasted three years thinking about data completely wrong. Here is what I finally figured out.

I have worked inside 60 service businesses, and the thing that separates the ones that are stuck from the ones growing exponentially is really simple. The fastest growing service businesses do not necessarily have the best people. They have incredible systems that supercharge their human talent. They have one clean single application that is their source of truth. It shows every project, every dollar, every KPI, and every deadline in real time. And now they have AI employees handling 50% of the work that used to consume their best team members' days.

[ON SCREEN: "I learned this the hard way"]

I spent five years learning this the hard way. I grew my agency to over 20 people and I watched margins shrink at the same time. Now I finally built what I should have built in the beginning, a digital HQ. It is custom to my business, and we are building the same thing for other service businesses in just 90 days. Follow to see behind the scenes of what we are building every single week.

Client: Dylan Kinder, DataCose
Format: Short form
Published views: 80
Video: https://www.youtube.com/watch?v=Cy3PIvGx17M
Content pillar: Client Case Study
Hook template used: Shock and Stat
Target runtime: 1 minute (164 words at 150 words per minute)

Title options
1. The 255 Invalid Orders Story
2. From 255 Bad Orders a Month to 2
3. This Client Says It Is Literally Printing Money

Thumbnail direction
Dylan beside a big number graphic reading "255 to 2" with caps text overlay "3 EMPLOYEES FREED". Confident, matter of fact expression.

The script

[ON SCREEN: "255 bad orders a month"]

This company had three full time employees doing nothing but fixing errors in paperwork. When we first met them, they had 255 bad orders every single month. We cut that down from 255 per month to just two, and here is exactly how.

Every time an order was submitted with invalid information, it triggered a huge back and forth email chain. Hours of rework, waiting, and chasing every single week. To solve it, we built one custom application full of AI employees to handle it all automatically in the background.

[ON SCREEN: "Twice the orders. Two errors."]

This company is now processing twice as many orders as before, with only two errors per month on average. In their words, it is literally printing money. And it is managed by just one part time employee. This is what happens when you actually start hiring AI employees into your business. Comment ROI and I will share the tool we used and what it would cost to implement the same thing in your business.

Client: Dylan Kinder, DataCose
Format: Short form
Published views: 80
Video: https://www.youtube.com/watch?v=9l6vvs1Kq9E
Content pillar: AI Employees
Hook template used: Story Open
Target runtime: 1 minute (114 words at 150 words per minute)

Title options
1. Stop wasting time on manual team updates
2. The AI Employee That Keeps My Team In The Loop
3. No More Manual Meeting Recaps

Thumbnail direction
Screen recording of the Slack ping from the CRM data clerk, with Dylan in a corner bubble and caps text overlay reading "NOBODY WRITES THE RECAP".

The script

[ON SCREEN: "Nobody writes the recap"]

Here is one small AI employee that removed a surprising amount of manual work for us. We have a partnership manager. If a partnership is discussed with DataCose at any time, it goes into Slack, and our CRM data clerk pings her, tells her what was discussed, and fills her in.

[ON SCREEN: "Everyone stays in the loop"]

She can always open the transcript to see more if she has follow up questions, but this alone has been tremendous for keeping her in the loop while we are having all of these meetings with potential partners, or with clients who can become partners. No status calls, no manual recaps. It has been an incredible tool to keep everyone in the loop.

Client: Dylan Kinder, DataCose
Format: Short form
Published views: 74
Video: https://www.youtube.com/watch?v=zumfzSxH5W4
Content pillar: AI Employees
Hook template used: Contrarian Take
Target runtime: 1 minute (127 words at 150 words per minute)

Title options
1. Why You're Using AI Wrong
2. A ChatGPT Tab Is Not an AI Employee
3. Tool vs Employee: The Difference That Matters

Thumbnail direction
Dylan next to a laptop with a ChatGPT tab open, caps text overlay reading "THIS IS NOT AN AI EMPLOYEE" with a red X over the tab.

The script

[ON SCREEN: "A tab is not an employee"]

Having ChatGPT open in a tab is not the same as having an AI employee. In fact, it is the fastest way to fall behind.

There is a difference between using AI as a tool and using it as an employee, and once you see it, you will never go back. A tool waits for you to use it. An AI employee has a job, a goal to hit, and it does the job without being asked.

[ON SCREEN: "No prompting. No reminding."]

When a client signs, it sends the welcome email, starts onboarding, and updates the CRM all on its own. No prompting, no reminding. So stop using AI like a chatbot and start treating it like a team member. Follow to see exactly how we build AI employees inside real businesses.

Client: Dylan Kinder
Format: Short form
Published: 2026-04-22
Views: 972
Video: https://www.youtube.com/watch?v=oUMsjV-rZ8w
Runtime: 35 sec (93 words)

The script, as delivered on camera

I've been paid over $1 million for free. This is the exact system that [music] I use to run my own business. It's how to build the perfect application to manage everything. We have one central place called our digital HQ where [music] every item, every dollar, every project is tracked.

The best part is that the business is 80% automated. I spent 5 years perfecting this across 60 businesses and today I'm revealing all the secrets so [music] you can copy it. Comment blueprint and I'll send you the walk-through.

No catch.

Client: Dylan Kinder
Format: Short form
Published: 2026-05-29
Views: 484
Video: https://www.youtube.com/watch?v=RRS6PBC8A_M
Runtime: 1 min 1 sec (162 words)

The script, as delivered on camera

You're paying six figures [music] in salary for work that a system should be doing for $50 a month. I've replaced hundreds of thousands of dollars [music] in cost through automation. The same or even better quality without all the overhead.

Whether it's logging notes in your CRM after every client call, [music] drafting proposals, sending status updates, scheduling follow-ups, organizing documents, every single one of these tasks and many more are things that AI employees should be handling for you. These tasks are repetitive, they follow step-by-step [music] instructions, and they're a complete waste of time for people who could be doing real [music] strategic work. So, while AI employees handle all of this, your team can be out there doing things that actually grow the business and move the needle.

This is a new division of labor in 2026, and the service businesses who have not made [music] the shift yet are paying in overhead, burnout, and shrinking margins. [music]

Client: Dylan Kinder
Format: Short form
Published: 2026-04-18
Views: 208
Video: https://www.youtube.com/watch?v=gftHZLcKYi0
Runtime: 40 sec (106 words)

The script, as delivered on camera

Tools for small and medium businesses are terrible. Here's why. You're paying hundreds or thousands of dollars in monthly software subscriptions that your team only uses 10% [music] of. Your data is still everywhere in Slack, random notes, and all across your email.

More tools mean more things that will break and [music] more places that information lives. You don't need more tools to manage all of your tools. You need a digital HQ, one single place where you log in and all of your critical workflows are visible, tracked, completed, and measured.

[music] Comment HQ below to see how the perfect system doubles your margins.

Client: Dylan Kinder
Format: Short form
Published: 2026-06-08
Views: 128
Video: https://www.youtube.com/watch?v=H2u7p1rEHQ0
Runtime: 57 sec (166 words)

The script, as delivered on camera

If you haven't delegated a single end-to-end workflow to an AI employee yet, your business has one foot in the grave, and I am not being dramatic. There is one very specific warning sign [music] that tells me a business is about to get left behind. The warning sign is this: [music] Your team is doing the same repetitive activity again and again and again.

If someone on your team is copying data from one tool [music] to another, writing the same kind of email they wrote last week, pulling data for another [music] weekly report, this is a business bleeding out in slow motion. Your competitors are not going to wait for you to [music] catch up. They're busy building AI employees that handle 100 times the amount [music] of work for a penny on the dollar.

The window to use this to [music] increase the value of your business is closing inch by inch [music] every single day. It will not stay open forever.

Client: Dylan Kinder
Format: Short form
Published: 2026-05-23
Views: 120
Video: https://www.youtube.com/watch?v=x8dyILtRp1E
Runtime: 59 sec (153 words)

The script, as delivered on camera

You keep hiring what you think are A-players, but they become C-players inside of your business. Maybe the problem isn't them. A-players put into a broken system will perform like C or sometimes even D-players every single [music] time.

They can quickly get buried in status updates, repetitive admin tasks, or copying and pasting [music] data. The companies doing half a million dollars in revenue per employee are not just lucky. They've likely invested in incredible systems that do all the heavy lifting and free up the team to work on what matters most.

Small team, powerful system beats a large team with chaos every single time. Save this video for the next time you have a people problem, and follow for the system powering the best businesses. The best service businesses I have ever seen hire for capability, and then build the systems to get the best [music] out of those people.

Client: Dylan Kinder
Format: Short form
Published: 2026-05-11
Views: 103
Video: https://www.youtube.com/watch?v=5d4jFTBt458
Runtime: 42 sec (115 words)

The script, as delivered on camera

You hired three people for the same role and all three failed. Here's why. I built something that does the job of your best team member for 50 cents an hour. At Data Cores, in a 30-minute inspection, we guarantee that we'll find at least 20 hours of wasted work in your team per week.

If we're wrong, we'll give you $500 in cash. No complicated new hires, just one system filled with AI employees that do the work reliably background for you. We've done this in over 50 [music] service businesses and it works every single time.

Comment inspect below and I'll send you a link to book a free call with me personally.

Client: Dylan Kinder
Format: Short form
Published: 2026-05-17
Views: 98
Video: https://www.youtube.com/watch?v=W7MnQNUmT8o
Runtime: 54 sec (169 words)

The script, as delivered on camera

Your team is lying to you, and not on purpose, but because they have no way to show you the truth. When you ask someone how a project is going, they really want to say that everything's [music] great and going well. First, they don't want to look bad, and second, they often actually don't even know if things aren't going well until it's way too late.

So many teams are flying blind, not knowing what's actually happening until clients start complaining. And the fix for this is often just a [music] real-time dashboard. This dashboard eliminates a bunch of status meetings that no one likes, and allows you to stop chasing your team all the time for updates.

You can just open your phone and see the truth about all the projects, all of the revenue, and all of the deadlines in your business. What you measure improves, and what you don't see eventually burns you. Follow me for a behind-the-scenes look at how I build these systems.

Client: Dylan Kinder
Format: Short form
Published: 2026-06-15
Views: 97
Video: https://www.youtube.com/watch?v=75eJmbDa3jA
Runtime: 36 sec (112 words)

The script, as delivered on camera

I truly believe that right now about 50% of the tasks businesses are doing every single day can be delegated fully to AI employees. And personally, I'm even leaning closer to 80% based on what we're seeing in our appliance. And that's not just a guess, it's really what I'm seeing every single day across working with over 50 service businesses.

So, the main takeaway I'd like to leave you with is to really push you to stop thinking of AI just as a chat interface. I want you to start using it to actually do work for you without you having to be there guiding it every step of the way.

Client: Dylan Kinder
Format: Short form
Published: 2026-04-29
Views: 95
Video: https://www.youtube.com/watch?v=rnVzXEP48vY
Runtime: 48 sec (134 words)

The script, as delivered on camera

I replaced three roles with just $200 in AI credits per month. We no longer need to pay people to just move data between systems, [music] prepare reports, or even send follow-ups. I hired a few AI employees to handle our project management for us.

It saves over a hundred thousand in payroll every year. AI is finally living up to the hype, and it can now do at least half of the work in your business. You and your team should be building real relationships, solving hard problems, and not just copying data back and forth.

Want to see which AI employee you should hire first? Comment ROI, and I'll share a tool that lists 36 AI employees you can hire today, and helps you calculate their ROI based on your specific business.

Client: Dylan Kinder
Format: Long form
Published: 2026-04-26
Views: 82
Video: https://www.youtube.com/watch?v=rdmqhUchoPU
Runtime: 6 min 48 sec (1,185 words)

The script, as delivered on camera

I hired five project managers, five. Not bad ones, not cheap ones. By the final hires, I was bringing in project managers with great experience and incredible resumes. Each one costs more than the last, but every single one of them failed.

And unfortunately, it took me five attempts and three years to figure out why. It wasn't a people problem, it was actually a systems problem. And the moment I understood that, [music] everything about how I run my company changed.

Before I get into it, quick background. I'm Dylan, and I spent five years building systems inside of service businesses. My agency, Data Driven Design, grew to over 20 team members. We've worked in over 60 businesses throughout that time.

And across all of it, I kept seeing the same thing. Smart owners trying hard, but failing for the same reason. Not because they weren't capable, because they kept trying to solve a systems problem with people. All right, so the first few years at Data Driven Design, every week looked the same.

Timelines slipping, clients asking where things are, my team rushing to get things done on time, and me being in the middle of it trying to hold it all together. And the obvious solution, what I kept hearing from every advisor, every book, and all of my research, was to hire a project manager. So, we hired one.

Here's what kept happening. They couldn't stay in the loop on all of our projects simultaneously. The context was too much, and the details moved too fast. And without full real-time context over all of the projects, they really couldn't manage any of them.

What they could do [music] really well was send some emails and schedule some calls. So, that's what project management became at Data Driven Design. And with time, we thought maybe we needed someone more senior, with more experience, with more knowledge in our domain.

[music] And if only we got that, they'd be able to handle all of the context. Second [music] PM, third, fourth, fifth. Three years. Each one costs more. Each one failed for the same reason. And here's the question that finally broke through to me after attempt number five.

Instead of asking what's wrong with these people, I looked at the role and asked, "What about it is making them fail?" And that's when I saw it. The project manager role, as we designed it, required them to hold an impossible amount of context simultaneously across multiple projects and team members. And they [music] had to act on that context perfectly in real time 24/7.

And the truth is, there aren't many people who can do that. Even the best of us will struggle. So, we haven't had a hiring problem for 3 years. We had designed an impossible job and kept trying to fill it with people. This was our [music] system problem.

So, how did we solve it? Well, we stopped trying to hire and we started building our way out of it. We created our own internal project manager, not person, an AI employee, a system that could hold all of the context, that could track every project, every timeline, every client communication, and surface it at the exact moment we needed to know about it.

And here's the thing about everything that had been killing our project managers. The volume, the context switching, [music] never feeling like they could log off. These are all strengths of AI. Today, I'm using AI roughly 8 hours plus a day, not occasionally, continuously.

And I'm not just talking about in my browser, chatting with ChatGPT, Gemini, or Claude, but actually working with them as team members on my team. I use them to help with blog posts, LinkedIn content, gathering and writing project requirements, preparing proposals, taking notes in our CRM, developing our solutions, and now even making UI/UX mock-ups. When I think about how we used to do all of this work manually, it's honestly insane to me.

It's like doing research before Google. The landscape has completely shifted, but most businesses are still operating like it's 5 years ago. So, let me paint you a quick picture. A bad week at Data Driven when I first started looked like 7 days of fire fighting, timelines off, client calls I wasn't fully prepared for, team was stressed, and I was buried inside of the operations of my business instead of working on [music] it to grow it.

The three win conditions for the week were survived, didn't lose a client, and [music] didn't miss every deadline. Now, a good week we solved one key problem very, very, very well that has tremendous value and huge ROI. It's also one where we actually deliver early on all of our timelines.

And it's one where my team owns the results, and I can see the scoreboard moving in the right direction in real time. That shift from surviving to building really happened because we stopped trying to put people into impossible or very challenging roles. And instead, we started designing systems that allow humans to do what they're very good at.

And that shift from surviving to building started happening when we stopped trying to squeeze people into impossible roles and started allowing humans and AI to [music] do what they're best So, if I could go back and tell myself something 3 years ago, here's what I'd say. Stop trying to hire your way out of a system problem. Give your team real autonomy.

Give them a clear scoreboard, how close they are to their target in real time, set expectations, set targets, and hold them accountable. And what gets measured improves. Honestly, what I'm talking about wasn't all fully possible 3 years ago.

AI has improved tremendously. But now that I have AI, I'd also add the advice to build a an AI layer that supercharges you and your team. And please, if anything, don't waste 3 years like I did, and don't go through five expensive hires.

So, if you're running a service business and any of this sounds familiar, the firefighting weeks, the roles that kept failing, the feeling that you're stuck working inside of the business instead of on it, I'd love to talk to you. We work with service businesses to design what we call digital H cubes. This is a custom application where AI employees handle your most repetitive and common workflows.

So, your humans can focus on the work that actually moves the needle. And this all starts with a 30-minute inspection where I will find at least 20 hours a week that you're wasting that could be handed over to AI. And if I can't, I'll actually pay you $500.

The link to apply for the inspection is in the description below. Book a call, it's 30 minutes, and I'll honestly tell you what's possible for your business. But, I've never wasted all this time putting people into impossible positions.

So, I'd love to save you the same kind of struggles. Thanks for watching.

Client: Dylan Kinder
Format: Short form
Published: 2026-04-27
Views: 70
Video: https://www.youtube.com/watch?v=RHdaWTNnQY4
Runtime: 45 sec (134 words)

The script, as delivered on camera

The real reason you're stuck at $1 million revenue is because you're the bottleneck. Every decision goes through your DMs. Every client wants your number, and unfortunately, you can't clone yourself. But here's the next best option.

To break out of it, you need to focus on turning your business into a machine that runs without you. Usually, when I say this, I hear "Easier said than done." and I get it. But if you know what you're doing and you have a clear [music] process to do it, it's not as hard as you think, especially now with AI.

The first step is getting all of your core workflows into a single tool that you, your team, and AI can actually use. Like if this hits close to home, follow for the solution.

Client: Dylan Kinder
Format: Short form
Published: 2026-06-21
Views: 69
Video: https://www.youtube.com/watch?v=2C8pF69qTSQ
Runtime: 47 sec (111 words)

The script, as delivered on camera

the founder or one key member of leadership is the biggest bottleneck in the business and everything depends on them. If they're unavailable or they're sick or in worst case they they leave or can no longer continue working, it's a house of cards that crumbles immediately. But what I just highlighted aren't actually people problems.

They're really systems and architectural problems. What's great about those is that they have very simple solutions. So moving into the digital HQ, what is it? It's a single source of truth application that fits your business perfectly.

It's not a generic SaaS tool and it's not something non-technical people just wing and throw together.

Client: Dylan Kinder
Format: Short form
Published: 2026-05-13
Views: 51
Video: https://www.youtube.com/watch?v=P8a1M_VzcqQ
Runtime: 56 sec (152 words)

The script, as delivered on camera

Buyers do not buy jobs. They buy systems. [snorts] Here's exactly why your business might not be sellable. I help service business owners build businesses that others are dying to buy. Here's the first thing I look at. If the business depends on you to function, it has no enterprise value.

Every buyer's very first question is, "Can this run without the founder?" And the ones that sell at the highest multiples [music] have one thing in common, a solid operating system. A system where every workflow, every dollar, and every task [music] is done automatically and tracked by the system. And they can happen [music] even faster than you think.

We built one for a client in just 90 days that enabled him to triple the amount of customers he's servicing. Now, they're talking to interested buyers and starting the exit process. Comment exit [music] and I'll send you the blueprint.

Client: Dylan Kinder
Format: Short form
Published: 2026-06-13
Views: 49
Video: https://www.youtube.com/watch?v=alWGnqqaaAg
Runtime: 58 sec (189 words)

The script, as delivered on camera

Now, a lot of teams have to pull data manually and compile these reports, and they may be semi-automated, but it's still wasting valuable team member time. And that's if you're even providing reports at all. And if you're only providing monthly reports, a lot of clients would prefer to have weekly reports or bi-weekly reports, and [music] even if they don't look at them, it just helps them know that you're on track, you're being transparent, [music] and everything is okay.

So, your status report order can pull all relevant data in real time, maybe at the end of the week, every Friday, prepare a report based on a template, and perhaps if [music] everything in the report is great, then it can go ahead and auto-send it. If there are some things in the report that might be alarming, then it can ping one of your team members on Slack or whatever tool you're using and ask them to kind of review it, maybe, you know, soften it or deliver it with some additional context and [music] kind of a human note, whatever the case may be.

Client: Dylan Kinder
Format: Short form
Published: 2026-05-04
Views: 47
Video: https://www.youtube.com/watch?v=8c-OCJKh3GY
Runtime: 42 sec (119 words)

The script, as delivered on camera

Are you turning customers away because you don't have capacity for them? I've seen so many founders that are incredible at what they do. So much so that the word spreads like fire. They have more leads than their team can handle.

But when they try to hire more, it doesn't work out. A players are really hard to find. It is such an exciting time to be in business because AI can take 50 to 80% of the tasks off your hands. This lets your team quadruple down on the highest value work and billable hours, not replying to silly emails or copy and pasting data around.

Follow me to see how the best are building AI employees.

Client: Dylan Kinder
Format: Short form
Published: 2026-06-12
Views: 42
Video: https://www.youtube.com/watch?v=nRklG_k9v7Q
Runtime: 1 min 5 sec (168 words)

The script, as delivered on camera

In 90 days, we'll build the system that lets your business run without you. Here's the exact three-step process. Step one is a free inspection. [music] 30 minutes with me personally where we'll find at least 20 hours of wasted [music] time to begin automating with AI employees.

Step two is the roadmap. We'll design the exact ROI prioritized initiatives to build the perfect digital HQ and hire the best AI employees. Every workflow automation AI employee module is [music] tailored to your challenges and your goals.

And step three, we build it, we test it, we hand it over to your team, and make sure that they start using it. In just 90 days, a huge amount of the manual work you're doing now will be managed [music] by AI employees and systems instead of people. It'll be like getting two or three new employees in 90 days without any onboarding, any training, zero salaries.

Comment build and I'll send you a link to start the process.

Client: Dylan Kinder
Format: Short form
Published: 2026-06-11
Views: 33
Video: https://www.youtube.com/watch?v=eEiIsFcANjM
Runtime: 56 sec (151 words)

The script, as delivered on camera

I will find 20 or more hours of wasted time inside of your service business in just 30 minutes. That's not a marketing line. That is our actual guarantee. I built a free 30-minute process to find at least 20 hours of wasted time inside of a service business.

Here's exactly how it works. We'll trace a dollar through your business from the moment a client signs all the way to the end when the work is delivered and every step where your team touches something manually, that is where we'll find the waste. Most service businesses are wasting 50 to 80% of the time their team spends on activities that AI employees should be handling for them.

And the best part about 30-minute inspection is that you keep all the findings whether we work together or not. Comment free and I'll send you the link to book directly with me.

Client: Dylan Kinder
Format: Short form
Published: 2026-06-09
Views: 27
Video: https://www.youtube.com/watch?v=3nVLYfDUMAY
Runtime: 1 min 18 sec (212 words)

The script, as delivered on camera

So, looking into the conversation [music] is an absolute goldmine because not only can you make sure in the agreement you fulfill every single expectation you've set with the client, you can also tailor the language to mirror exactly what they highlighted as their goals for the engagement, as their current challenges [music] and pains going into the engagement, and that just makes the proposal land so much better without taking hours of that senior person's time to tailor. And these proposals can be created under a 5 minutes easily by an AI employee. And even if it's not ready to send immediately, maybe your AI employee needs a little bit more training to get it dialed in 100%.

A team member can always take what's been prepared, review it, and kind of put the final 10-20% finishing touches on it to make that proposal incredible. But, what I love about this [music] is that a senior employee's time doesn't have to be wasted writing very repetitive, basic, simple things into the template. Instead, he can spend the hour or 30 minutes that he [music] has on making the proposal the best proposal possible.

Just really focusing on the key things that mattered the most and making sure those are top quality.

Client: Dylan Kinder
Format: Short form
Published: 2026-06-22
Views: 15
Video: https://www.youtube.com/watch?v=d5GzVgRnzDI
Runtime: 52 sec (124 words)

The script, as delivered on camera

The third thing that's inside of a digital HQ are AI employees. This is one of the most exciting advancements of the last 6 months. Not AI chatbots, actual AI employees responsible and held accountable for a very specific workflow.

For example, a proposal writer AI employee who creates tailored proposals based on all of the sales call transcripts that you have with the customer. A project report builder who looks at all of the active projects and every week compiles an overview report for management or for the team to make sure that everyone is on the same page and nothing is falling through the cracks. A CRM logger that documents every client interaction over call, email, or text the moment it happens.

Client: Dylan Kinder
Format: Short form
Published: 2026-06-23
Views: 7
Video: https://www.youtube.com/watch?v=7dRBGfBLqpU
Runtime: 34 sec (98 words)

The script, as delivered on camera

You think your business runs tight? I'll bet you $500 it does not. I will find 20 wasted hours in your business or pay you $500. On a free 30-minute call, we'll trace every dollar from through your business. From the moment a client signs to the moment the work is delivered.

Every place a human hand touches that dollar likely has a lot of wasted time. Most service businesses are leaking between 50 and 80% of their time. You'll keep every finding even if we never work together. Comment inspect and I'll send you the booking link.

Client: Dylan Kinder
Format: Short form
Published: 2026-06-26
Views: 5
Video: https://www.youtube.com/watch?v=MCsCIKy61tY
Runtime: 40 sec (129 words)

The script, as delivered on camera

You're doing a million a year in sales and still doing all of the work yourself? That is not success. That is a trap. Here is how founders passed a million in sales stop doing all the work. At a million in revenue, most business owners are still the system.

Every approval, every update, and every fire goes directly through you. And it's hard to hire your way out because the more people you add, the more work you have to manage all of them. Right now in 2026, the easiest fix is by building a digital HQ.

It's one custom [music] system where your human team members and your AI employees can work together on the same page. Comment HQ and I'll show you exactly how it's built.