Some people use Claude to write emails. Others use it to basically run their entire business while they play Wordle.

This isn't just ChatGPT's cooler cousin. It's the AI that's quietly revolutionizing how smart people work – writing entire business plans, planning marketing campaigns, and basically becoming the intern you never have to pay.

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I want to tell you about a Tuesday morning a while back.

I had a discovery call booked at ten. By the time I sat down to open my laptop, the prospect had already received a personalized welcome sequence with a pre-call questionnaire, my calendar confirmation, a short two-minute video introduction from me, and a reminder email with a one-click rebook link in case something came up. All of it went out automatically the moment they filled in the form on my website. No human touched it. It ran itself.

By the time we got on the call, they felt like they already knew me. They had watched the video. They had answered the questionnaire. They had a sense of how I think. The close took eleven minutes.

That entire sequence cost me zero minutes to run that morning. I built it once on a Saturday afternoon about two years ago. It has run hundreds of times since without me thinking about it once.

That is what an actual automation stack does for your business. Not just time savings on individual tasks. It makes your entire operation feel bigger, more responsive, and more professional than you could ever manage manually at any scale. And it does it consistently, even when you are on vacation, even when you are slammed with client work, even when you forgot to follow up.

Today I am walking you through the stack. Not the aspirational version. The actual one I run.

The Foundational Principle Most People Miss

Most service business owners who try to automate their operations end up with a pile of disconnected tools that each do one thing but do not talk to each other. They have a CRM that does not know what their email platform knows. An email platform that does not know what their project management tool knows. A calendar tool that exists in a completely separate universe from all of the above.

What they end up with is a mess that actually creates more manual work than it saves. They become the middleware between their own tools. Every morning they are checking five different dashboards, copying information from one place to another, trying to synthesize a picture of their business from six disconnected data sources. That is not automation. That is digital chaos with a subscription fee.

A real automation stack is built around one principle: everything connects to everything. There is a central hub that all the other tools report to, and any meaningful action in any tool can trigger an action in any other tool. A lead submits a form and six things happen automatically across four different tools. A client signs a contract and the entire onboarding sequence kicks off without a single person doing anything manually. When you build to that standard, you have stopped automating individual tasks and started automating entire workflows.

Here is how I have built it.

Layer One: The CRM as Command Center

Everything runs through Go High Level. This is the hub. Every lead, every client record, every conversation, every pipeline stage lives here. GHL handles the CRM function, the pipeline visualization, the email sequences, the SMS follow-up, the booking pages, the intake forms, the basic automation triggers, and the contact database.

If you are a service business doing more than ten thousand dollars a month and you are not running a proper CRM with full pipeline visibility, you are operating blind. You have no real data on where leads drop off, which follow-up touchpoints convert, how long your average sales cycle runs, or what your close rate looks like across different lead sources. That visibility is the difference between growing intentionally and just hoping next month is better.

Go High Level also consolidated three separate tools I was paying for: my email platform, my appointment booking tool, and my pipeline tracker. The consolidation alone pays for the subscription. The automation capabilities on top of that are what make it genuinely transformative for a service business at this stage.

I run my entire client communication workflow through GHL's pipeline: new lead, call booked, call completed, proposal sent, contract signed. Every stage transition triggers an automated sequence. Nothing falls through the cracks because the system does not forget.

Layer Two: The Automation Engine

This is where Make.com earns its place. If Go High Level is the command center, Make is the connective tissue between everything else. It handles the cross-tool logic that native integrations cannot manage, which is most of the interesting stuff.

Let me walk you through a concrete example. When a new client signs their contract, here is everything that happens automatically within about forty-five seconds:

A new client folder gets created in my project management tool, already labeled and organized. A welcome email goes out from Go High Level with their onboarding questionnaire attached. A kickoff call gets added to my calendar with a pre-populated agenda. They get added to the client-specific Slack channel with a welcome message. Their contract value gets logged in my revenue tracker in Notion. A task gets created in my task manager for me to personally review their questionnaire before the kickoff call.

All of that used to take twenty-five to thirty minutes per new client, either by me or by a team member. It now takes zero minutes. I set the Make scenario up once. It fires every time without variation or error.

Make uses a visual drag-and-drop interface that makes genuinely complex multi-step automations buildable without any coding knowledge. If you have never used it, start with the free tier and pick one process that you repeat at least weekly. Build the automation for that one thing. The moment it runs without you touching it for the first time, you will understand exactly why people get obsessive about this tool.

Layer Three: The Content Distribution Layer

For social content, I use Buffer. The concept here is simple: batch once, publish all week. I spend one block of time at the start of the week reviewing and loading content into the queue. Buffer handles the distribution across platforms on the schedule I set.

No daily posting decisions. No manual publishing. No Sunday night scramble to get something up before Monday morning. The queue is loaded, the schedule is set, and the content goes out whether I am paying attention or not.

The important thing to understand here is that Buffer is not the strategy. Batching is the strategy. Buffer just makes batching frictionless. If you sit down every morning and try to figure out what to post that day, a scheduling tool will not fix that problem. But if you can commit to a weekly batching session of sixty to ninety minutes, a scheduling tool like Buffer will make that session thirty times more powerful than posting manually.

The newsletter publishes through Beehiiv, which handles subscriber management, analytics, list growth tools, and the publication itself. You are reading this on Beehiiv right now. It requires no manual distribution effort beyond writing the content and hitting publish.

Layer Four: The Meeting Intelligence Layer

Every client call and every sales call I take gets recorded and transcribed automatically through Fathom. After each call, Fathom sends me an AI-generated summary with key discussion points, action items called out explicitly, and follow-ups that were mentioned during the conversation.

This does several things for me simultaneously. First, I do not take notes during calls anymore. I am completely present in the conversation, which makes me a better listener and a better strategist in the room. The call quality goes up because I am not splitting my attention between the person talking and my notepad.

Second, I have a searchable, permanent archive of every meaningful conversation I have ever had with a client or prospect. If someone references something we discussed nine months ago, I can find the exact moment in the transcript in thirty seconds. That kind of recall makes clients feel genuinely heard in a way that earns deep trust over time.

Third, and this is the one most people miss, Fathom surfaces referral opportunities hiding inside conversations. If a client mentions a colleague dealing with a problem we solve, that name is captured in the transcript. I review the summary after every call and if there is a name worth following up on, I have a warm, specific, timely reason to make the referral ask. This has generated real business that I would have lost entirely if I were relying on my memory to surface the connection.

Layer Five: The AI Hub

Rather than juggling Claude, ChatGPT, Grok, and HeyGen across different browser tabs and separate subscriptions, I use Galaxy.ai as a unified AI workspace. One interface, all the models, no context switching between a dozen different tabs.

For content drafting, strategy frameworks, client deliverables, research, and anything else where AI assistance adds real leverage, having one workspace eliminates the constant friction of switching tools. It sounds like a small thing but over the course of a week it adds up to a meaningful amount of saved mental overhead and wasted time.

How to Build This Without It Consuming You

The trap most people fall into when they see a stack like this is thinking they need to build all of it before any of it produces value. That is the wrong frame entirely and it is what causes most automation projects to stall at zero.

Build it in layers across sixty to ninety days. Start with your CRM. Get your leads flowing into it, build your pipeline stages, and create your first automated follow-up sequence. That one step will change your conversion rate noticeably. Once the CRM is stable, add Make and connect two or three tools together around your highest-volume workflow. Then layer in meeting intelligence. Then content scheduling. Then AI.

Each layer compounds the value of everything below it. By the time all five are running, you have a business that operates with the efficiency of a much larger team while staying lean and profitable. The Automation Pack covers the specific Make scenarios for client onboarding, lead follow-up, and referral tracking, complete with step-by-step build instructions. Reply with AUTOMATE to grab it.

One Move This Week

Identify the single manual task in your business that you perform most frequently and hate the most. The thing that eats twenty minutes every time it comes up and contributes zero strategic value to the outcome. The one that you keep meaning to fix and never quite getting to.

Write out every step involved in that task from start to finish, as if you were explaining it to someone who has never done it before. Then open Make.com, start a free account if you do not have one, and see how many of those steps can be replaced with a scenario. In most cases you will find that the answer is all of them.

Build it this week. Not the whole stack. Just that one thing. Watch it run the first time without you and notice how that feels. That feeling is what the rest of the stack delivers, multiplied across your entire operation.

The DSG Automation Pack includes the exact Make scenarios I use for onboarding, follow-up, and referral tracking. Reply with AUTOMATE to grab it. Or reply with SPRINT if you want the whole stack built out with you in 30 days.

Reply with AUTOMATE and I will send you the details.

Talk Soon,

Dan

Dan Kaufman

Founder, Dead Simple Growth & Pinnacle Masters

deadsimplegrowth.com