What building my own AI automations taught me about using AI properly

Earlier this year I set out to automate my social media content pipeline for my publishing business. Facebook, Instagram, Threads, scheduled and posted automatically, with content generated and queued without me having to think about it every day.

I got it working. But the process of building it taught me something I think applies to any indie author considering AI tools, whether that’s automations, writing assistants, or anything else in the growing stack of AI-powered options available to us.

Before I wrote a single prompt or connected a single tool, I had to get very clear on a few things:

What was my existing workflow, and where were the inefficiencies? What problem was I actually trying to solve? What did good output look like, specifically? What were the edge cases, the things that could go wrong?

Only once I had honest answers to those questions could I start building anything useful.

What I discovered quickly is that deploying an automation is not the end of the job. It’s the beginning of a different one. Monitoring output quality, refining prompts, catching the things the agent gets subtly wrong. That work doesn’t stop. It just changes shape.

The mistake I see repeated, both in the corporate world where I consult and in the indie author community, is jumping straight to the tooling. Someone recommends a shiny new AI tool, you sign up, you start using it, and then wonder why the results are inconsistent or disappointing. The tool isn’t the problem. The missing clarity about what you were trying to do in the first place is.

AI won’t figure it out on its own. Not without someone paying close attention, at least not yet.

So before you build or buy anything, do the thinking first. Map the workflow you want to improve. Define what good looks like. Then choose the tool.

The automation I built is working well now. I’ll be doing a full walkthrough of the setup, including the prompts, the tools, and the workflow behind it, in a future paid post in Resources. But the lesson above is the one I’d want any author to take away before they get into the mechanics.

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