Make.com AI Newsletter Automation

How to Automate AI Newsletters and Podcasts with Make.com

Using make.com, you can build a fully automated system that turns articles, videos, or RSS feeds into AI-written newsletters and podcasts, then delivers them to your audience with minimal manual work.

This how-to guide walks you step by step through planning, building, and optimizing your AI automation based on the official tutorial on the make.com website.

Why Use Make.com for AI Content Automation

Before diving into the build, it helps to understand why make.com is ideal for AI newsletter and podcast workflows.

  • No-code interface to connect apps, APIs, and AI models
  • Visual scenarios to design multi-step automations
  • Built-in scheduling, routing, filtering, and error handling
  • Easy integration with email tools, RSS, cloud storage, and more

With these features, make.com can control each stage of your content pipeline, from content discovery to publication and distribution.

Plan Your Make.com Automation Workflow

The original guide emphasizes planning your workflow before building anything inside make.com. Start by defining your inputs, transformations, and outputs.

1. Choose Your Content Sources

Decide which sources your automation will monitor. Examples include:

  • RSS feeds from blogs, news sites, or YouTube channels
  • Internal content repositories such as Notion or Google Docs
  • Social posts or bookmarks pulled via API

In make.com, each of these sources will become a trigger or a regularly polled module.

2. Define Your AI Outputs

Decide what your AI-powered newsletter or podcast should look like:

  • Concise weekly email newsletter summarizing selected content
  • Opinionated commentary with key insights and takeaways
  • Podcast-style script that can be converted to audio

Make.com will orchestrate AI models to generate these outputs from the raw content.

3. Map the End Destinations

Common destinations for an automation like this include:

  • Email service providers (ESP) for newsletters
  • Podcast platforms via RSS feed or hosting APIs
  • Internal archives like Google Drive, Notion, or Airtable

Once you know the destinations, you can select the appropriate connectors inside make.com.

Set Up Triggers and Data Collection in Make.com

Begin by configuring how your scenario starts and how data is collected.

Step 1: Create a New Scenario in Make.com

  1. Log in to your make.com account.
  2. Click Create a new scenario.
  3. Add your first module, usually a trigger such as an RSS, webhook, or schedule module.

The visual editor in make.com lets you drag and connect modules as you go.

Step 2: Add Your Content Source Modules

Depending on your plan, you might use:

  • RSS module to watch for new items
  • HTTP module to pull data from a custom API
  • Google Docs or Notion modules to list or search documents

Configure filters so that make.com only processes the most relevant articles or videos.

Step 3: Normalize and Clean the Data

The source tutorial shows how important it is to structure data before sending it to AI. In make.com, you can use:

  • Text parser modules to strip HTML and clean titles or descriptions
  • Array aggregator to bundle multiple posts into a single prompt
  • Routers to branch logic based on tags, categories, or source type

Clean data ensures the AI model produces consistent newsletter or podcast content.

Connect AI Models with Make.com

The core of this system is AI, and make.com can orchestrate several AI services to turn raw content into polished text.

Step 4: Build the AI Prompting Flow

Inside make.com, add AI modules such as OpenAI or another supported provider. Then:

  1. Design a structured prompt that includes titles, brief descriptions, and links.
  2. Specify what you want: summaries, commentary, newsletter sections, or podcast scripts.
  3. Include constraints: tone of voice, maximum length, formatting style, and language.

Use variables from earlier modules so each run of your make.com scenario dynamically adapts to new content.

Step 5: Split Outputs for Newsletter and Podcast

The reference guide demonstrates how a single AI call can produce content for multiple formats. In make.com, you can:

  • Ask the model to return a JSON structure with newsletter and podcast_script fields.
  • Use the JSON parser in make.com to extract each field.
  • Send the newsletter text down one branch and the podcast script down another.

This approach keeps your scenario efficient and easier to maintain.

Create the Newsletter with Make.com

Once AI has generated your text, you can assemble and send your email newsletter.

Step 6: Format the Newsletter Content

Use tools in make.com to prepare the final email-ready content:

  • Text functions to add headings, bullet points, or signatures
  • HTML templates stored in variables or external files
  • Conditional blocks to include or exclude sections

The source tutorial shows how a repeatable template makes it easy to standardize each issue.

Step 7: Send the Newsletter via Your Email Tool

Connect your ESP using a make.com module. Typical actions include:

  • Create a new campaign or draft
  • Update a template with AI-generated content
  • Send to a segment or subscriber list

Use a scheduled trigger in make.com (for example, weekly) to ensure your newsletter goes out consistently.

Generate and Publish Podcasts Using Make.com

The same AI-generated summaries can power an audio podcast, and make.com can link the pieces together.

Step 8: Turn Scripts into Audio

Following the pattern from the original guide, you can:

  • Send the podcast script to a text-to-speech API using an HTTP or dedicated module
  • Store the resulting audio file in cloud storage such as Google Drive or S3
  • Capture file URLs to use later in podcast feeds

Make.com keeps all of these steps inside a single automated scenario.

Step 9: Update Your Podcast Feed

To publish new episodes automatically:

  • Use modules or HTTP calls to update your podcast hosting platform
  • Attach audio URLs and AI-generated descriptions
  • Trigger publish or schedule episodes directly from make.com

This creates a true end-to-end AI pipeline from article discovery to podcast publication.

Monitor, Test, and Improve Your Make.com Scenarios

The original make.com guide stresses continuous improvement so your automation stays accurate and on-brand.

Step 10: Test and Log Runs

Inside make.com, turn on:

  • Manual run mode for initial testing
  • Execution history to review data at each module
  • Error handlers and notifications for failed runs

Use this data to refine prompts, filters, and routing rules.

Step 11: Iterate on AI Prompts and Templates

Small tweaks can significantly improve quality. Experiment with:

  • Tone instructions (formal, friendly, technical)
  • Length constraints for summaries and scripts
  • Bullet vs. paragraph formatting for readability

Because make.com scenarios are modular, you can adjust one part without rebuilding the entire flow.

Next Steps and Additional Resources

By following these steps, you can reproduce and adapt the automation approach shown in the official make.com tutorial for your own industry, language, or audience size.

For more strategy, optimization ideas, and automation consulting, you can visit Consultevo, which offers guidance on scaling workflows similar to those built on make.com.

To dive deeper into the original walkthrough, screenshots, and specific module settings, study the full guide on the official make.com how-to page.

Need Help With Make.com?

If you want expert help building, automating, or scaling your Make scenarios, work with ConsultEvo — certified workflow and automation specialists.

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