The Future of Newsletters: Use AI to Create Them Automatically

By Dan Sanchez · Episode published

A practical look at combining a CRM journey builder with OpenAI to turn podcast source material into consistent newsletter drafts and automated campaigns that can be reviewed and improved.

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Newsletter creation does not have to be a fully manual process. Combining ordinary marketing automation with AI lets a newsletter be assembled and sent without writing every line by hand.

Connect automation to the model

The important idea is not one particular AI model. It is the way the model fits inside a journey builder. I was using HighLevel, but the same pattern can work in other automation platforms. A trigger starts the journey, the workflow gathers the information it needs, and an AI step queries OpenAI and stores the response in a field.

That field can then be used by later steps to format an email, add a subject line, or pass content to another part of the campaign. The automation platform handles timing, contact records, and delivery. AI handles the language task inside the larger system.

Build from a repeatable source

A podcast is a useful starting point because every episode already has source material. The workflow can take an RSS item or transcript, ask AI to identify the useful ideas, and turn those ideas into newsletter content. Prompts can define the audience, format, length, tone, and the structure the response should follow.

The goal is not to pretend the first output is final. It is to create a repeatable draft that improves as the prompts and models improve. A consistent format also gives the reader a familiar experience. If the newsletter always includes a clear subject, a short introduction, useful takeaways, and a link back to the source, the automation has a job that can be checked.

Keep the human purpose clear

Some writers will dislike the idea of automating the craft. I understand the concern, but I approach it as a marketer. If a system can handle repetitive production, I would rather spend my time on the strategy, the source material, and the decisions that make the message useful.

Automation also creates responsibility. The source needs to be accurate, the prompt needs to preserve the intended voice, and the final message needs a review path. The point is not to remove every human decision. It is to remove the manual steps that keep good ideas from becoming consistent communication.

Build the workflow now, test it with real content, and improve it as the tools get better. That is how marketers learn to use AI before the process becomes standard everywhere.