How I Cut $3,000–$4,000/Year from SMM with a Simple AI Automation

How do you save $3,000–$4,000 a year on SMM without turning your channel into spam?

For me, the answer was a simple automation in Make. It’s not magic, and it’s not “AI replaces people.” But for my use case, it’s a pragmatic way to keep content flowing consistently—at a fraction of the cost.

What the automation does

The workflow is straightforward. AI now handles the repetitive parts of my posting routine:

• Finds the most important news in my niche.
• Writes a post based on that news.
• Generates a poster image for the same topic.
• Publishes on a schedule to the channel.

This is the kind of task where consistency matters more than perfection. I’m not trying to produce long-form editorial pieces here—I’m trying to maintain a steady rhythm and stay relevant.

Model choice matters: “thinking” models only

I’m using GPT o3. In my experience, you really want a model that can reason. If you go with a cheaper, non-thinking option, the output quality drops noticeably: weaker summaries, less coherent framing, and more generic posts overall.

Quality vs. cost: I’m happy with 90%

Does a good human SMM specialist do better? Absolutely.

But in this case it wasn’t critical to squeeze out that last 10% of quality. The automation gets me to a level I’d call ~90% “good enough”—and the economics make sense.

What’s next

I attached examples of the generated posters and post drafts in the original context. There’s still room to experiment with prompts—especially to better match tone, add stronger hooks, or enforce a consistent structure.

If you’re spending real money on routine posting, this is one of the easiest places to start optimizing: automate the repeatable steps, keep a human for the parts that truly need taste and judgment, and iterate on prompts until the output matches your brand.