Automate Your Newsletter With AI

What You'll Learn

I publish two newsletters — Signal Over Noise and Second Brain Chronicles. For a while, each issue took four to five hours: research, outline, draft, edit, format, schedule. Some weeks I skipped issues because the overhead was too high. The pipeline I built cut that to under an hour while making the writing better, not worse.

• The production problem — Why newsletter consistency fails and where the time actually goes. The case for automation that keeps you in control of the parts that matter.
• The content pipeline — Seven stages from topic selection to publication queue, each as a discrete skill or agent. The newsletter-researcher, newsletter-writer, and content-pipeline skill — how they connect and why the separation matters.
• Teaching AI your voice — VOICE.md, the voice-analyzer, and the draft-reviewer quality gate. How to build a voice profile from your existing writing so AI-generated drafts sound like you, not a committee.
• Kit.com from the terminal — The Kit CLI for subscriber management, broadcast scheduling, tag-based segmentation, and sequence automation. Everything the web dashboard does, from your command line.
• The full workflow — One command that goes from topic to queued draft. What to automate and what to keep human. The principle that separates useful automation from automation that erodes the reason people subscribed in the first place.

Everything here comes from the pipeline I run every week. The skills and agents referenced are the actual ones in my Claude Code setup — not hypothetical examples built for this course.

Time commitment: About 2 hours to read. Another two to three hours to set up your own pipeline, depending on how much of it you already have in place.