Hi my friend!
Let's be honest for a second. I still see that a lot of people are using AI completely wrong.
They treat it like a cheap freelance writer. They feed it a prompt (doesn't matter how detailed), hit "generate," copy-paste a generic blog post that says nothing new, and then wonder why their engagement and traffic are tanking.
But there's soo many less-talked about ways to use it that save a ton of time and let you write much better content.
Whether you're a content marketer trying to scale production or a founder building a founder-led content engine, it's time to stop thinking like a writer trying to save a few minutes on a draft, and start thinking like a Content Engineer.
So here's a few of the systems worth building:
(I’d suggest AirOps for all three of these, mostly because it's built specifically for content ops instead of being a general-purpose automation tool.)
1. End-to-end blog writing
You enter the keyword, and the system does SERP analysis, finds the gaps, and writes the brief. Once you approve the brief and the outline, it moves on to drafting the full article.
I'd suggest you let the system make a draft, but don't treat it like a final one. Spend real time rewriting it yourself, that's how it actually becomes valuable. Add your first-hand experience, describe things in your own words, bring in examples that only you'd think to use.
2. Newsletter into LinkedIn posts
You import your full newsletter library, and let the system pull out the standalone ideas worth their own post.
Once you pick which ones are actually worth publishing, it drafts each one separately.
You edit for voice, and they're ready to go out.
3. Webinar into social posts
The system automatically scrapes webinar transcripts from your recordings. It then pulls out the key moments and turns each one into their own post idea.
You choose which ones are worth writing up, it drafts them, and you do the final pass before publishing.
I'm keeping this issue brief on purpose as I'm still building these out. But I'll be back over the next few weeks with the actual breakdowns of what worked, what didn't, and how to build each workflow step by step.
Like I said, my choice is AirOps, but the tool itself doesn’t really matter. You could build the exact same systems in Make, n8n, Claude Code, or any agentic AI you like. What matters is the system you build, not which one you use.
Which of these three workflows would you want the full breakdown on first? Hit reply and tell me.
If you’re interested in starting a newsletter like this, try out beehiiv (that’s what I use).
See you next week,
Kate 🌟
