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Send a daily AI-curated tech news digest via Gmail

Pulls from 14 RSS sources, selects top 10 stories with AI, and delivers a formatted HTML email. Built with OpenAI and Gmail.

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Startup founders and newsletter operators want a polished morning briefing without hiring an editor. This AI automation pulls from top tech publications, filters the noise, and emails a clean digest every day without anyone lifting a finger.

What This Automation Does

  • Aggregates articles from 14 premium tech publications via RSS feeds on a daily schedule
  • Uses AI to score and select the ten most relevant and trending stories from the full batch
  • Generates a professionally formatted HTML newsletter with summaries and source links
  • Delivers the finished digest to a Gmail inbox automatically at a configured send time

Tools Used

  • n8n
  • OpenAI
  • Gmail

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On Contra, top freelancers across this stack have earned 97 combined verified reviews from real client projects.

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How To Build It

Wire up RSS sources and a daily trigger

Configure a scheduled trigger to fire each morning, then connect each of the 14 RSS feed sources so fresh articles are fetched and held in memory before any processing begins.

Standardise and deduplicate incoming articles

Transform raw feed data into a consistent structure containing title, summary, publication date, and source URL, then cap the number of articles accepted per source so no single outlet floods the dataset.

Pass the full batch to OpenAI for curation

Send the cleaned article list to OpenAI with a prompt that instructs the model to identify the ten most impactful and timely stories, returning a ranked selection with concise editorial summaries ready for the newsletter body.

Assemble the HTML newsletter from AI output

Use a code step to loop over the ten selected stories and inject each title, AI-written summary, and source link into a pre-built HTML template, producing a single polished email body that renders correctly across email clients.

Deliver the digest through Gmail on schedule

Pass the finished HTML to Gmail, setting the subject line, recipient address, and send-as alias so the digest lands in the subscriber's inbox each morning from a recognisable sender without any manual intervention.

Pitfalls

  • RSS feeds from major publications occasionally change their URL structure or go offline, which silently drops that source from the digest without triggering an error unless you add explicit feed-health checks.
  • OpenAI rate limits can cause the curation step to time out if the full article batch is too large; chunking the payload or trimming article bodies to a character limit before sending prevents this.
  • Gmail OAuth tokens expire and are not automatically refreshed if the workflow has been idle for an extended period, causing the delivery step to fail quietly until the connection is manually re-authenticated.

FAQ

Can I build this without coding?

Almost entirely. The RSS collection, scheduling, and Gmail delivery require no code at all. The one code step formats the AI output into HTML, and a basic template with clear variable placeholders is straightforward to adapt even without a development background.

How long does it take to build?

Expect three to five hours for a first build, including sourcing the RSS feed URLs, writing the OpenAI curation prompt, and testing the HTML output across a couple of email clients. Repeat builds for new clients are significantly faster once you have a working template.

What can I charge for this service?

Pricing is your call based on your market, but the income angle here is a monthly retainer for a white-labeled daily digest delivered to a client's subscriber list. The automation runs itself after setup, so the retainer covers your initial build and ongoing maintenance rather than daily labour.

Which tools are required versus optional?

OpenAI is required for the curation and summarisation step. Gmail is the delivery layer and can be swapped for another SMTP provider or email service if a client uses a different platform. The RSS reading and scheduling components are handled natively inside n8n.

This is original DigiNo analysis. The underlying automation pattern is a community workflow template – view the original on n8n.

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