“I want to become an automated content creator.”
A friend told me this before he had even started creating content. He had spent months watching creators, saving videos, learning strategies, and planning what he might post. Now he was thinking about how to automate it.
I understand the appeal. If you can build a system that handles the hard part, why not start there? But there is a problem: until you have done the work yourself, you do not know which part is worth handing over to a system.
Start with the work, not the workflow
I hear the same question in different forms: “Can I automate my LinkedIn?” “Can AI create all my content?” “Can I build a system that posts automatically?”
I work with both tech and digital marketing. I like automation. I use it because it can take repetitive work off your plate and give you more time for the work that needs your attention. But it needs something real to work with.
If you have never written a post, you do not yet know what you enjoy talking about, what you can explain clearly, or what people respond to. You do not know whether the slow part is finding an idea, writing a first draft, editing, or simply getting yourself to publish. Building an elaborate workflow before learning that is solving a problem you have not identified.
Write 10 bad posts first. Then write 20 better ones. Not because 30 is a magic number. Because the act of publishing gives you information that another planning session cannot.
Find out what should stay human
As you write, pay attention. Which subjects do you come back to without forcing it? Which questions do people ask you? Which posts sound like you, and which sound like something you would never say out loud?
Also notice where your time goes. You may find that keeping a list of ideas helps. You may need a simpler way to turn notes into drafts. You may want a repeatable check before publishing. Those are useful places for a system. But you can only spot them once you have a process to observe.
This is where AI can help too. It can help you sort notes, suggest a structure, or clean up a draft. It cannot decide what you have actually learned from your work or why someone should listen to you. If the input has no point of view, a faster way to produce it does not fix that.
The same applies beyond content. “Automate my business” sounds good, but which task? What happens today, where does it get stuck, and what would a better result look like? If you cannot answer those questions from doing the work, the automation may just make a messy process run faster.
Automate after you understand the process
The order I trust is simple:
Start → Learn → Optimize → Automate → Scale.
Start manually. Learn where the friction is. Improve the steps that do not work. Then automate the repeatable parts. Once that process produces something useful, make it bigger.
The other order is familiar too: plan, plan again, watch YouTube, build an automation, then go back to planning. It feels productive because there is a lot to set up. But setup is not the same as progress.
Automation is a multiplier. Multiplying zero still gives you zero.
So publish the first post. Make it ugly if necessary. Find out what you want to say and what you need help doing. You can build the fancy AI workflow later. That is what the tech is for: making a process you understand faster, not replacing the part where you learn how to do it.
What are you currently over-planning instead of starting?
Originally posted on LinkedIn.