Create an AI Research Assistant That Summarizes Articles Daily

Start with a question: “What if every morning you received a concise briefing of the day’s most important articles—without lifting a finger?” In this guide, create an AI research assistant that summarizes articles daily will show you how to combine no-code automation and AI to scan RSS feeds, extract key insights, and deliver readable summaries straight to your inbox each morning.

Key Sections

1. What You’ll Need to Build Your AI Research Assistant

2. Choosing the Right No-Code AI Platform

3. What Tools to Use in Your Create an AI Research Assistant That Summarizes Articles Daily

4. Step-by-Step Workflow Setup

5. Best Practices for Prompt Engineering & Deployment

1. What You’ll Need to Build Your AI Research Assistant

First, you’ll require a no-code workflow platform (such as n8n, Make, or Zapier) to orchestrate the steps. You’ll also need an AI text-generation API—OpenAI’s ChatGPT is popular—to handle the summarization. Next, choose your content sources: RSS feeds, news APIs, or bookmarked webpages. Finally, decide on how to receive summaries—via email, Slack, or a daily digest stored in Google Sheets or Notion.

2. Choosing the Right No-Code AI Platform

Your platform choice influences flexibility and ease of setup. If you want open-source control and the ability to self-host, n8n is ideal. For straightforward integrations and rapid deployment, Zapier offers a broad app library. Make (formerly Integromat) balances visual clarity with advanced data transformations. Select the tool that aligns with your technical comfort and required integrations.

3. What Tools to Use in Your Create an AI Research Assistant That Summarizes Articles Daily

At the center of your assistant sits the ChatGPT API, which you’ll call to produce concise article summaries. Use your automation hub’s RSS or HTTP Request nodes to fetch new items from your chosen feeds. Store raw article text temporarily in Google Sheets, then invoke ChatGPT to generate 3–5–sentence overviews. Finally, leverage your platform’s email or chat nodes to deliver the daily digest—formatted and ready to read.

4. Step-by-Step Workflow Setup

Begin by configuring a “Cron” or schedule trigger to run each morning. Next, add RSS Feed or HTTP nodes to pull the latest articles. For each new entry, use a “Function” node to extract title, link, and main content snippet. Send this payload to your AI node with a prompt like, “Summarize this article in three sentences.” Receive the AI’s response, aggregate all summaries into a single digest, and email it via SMTP or post to Slack. Conclude by logging each run in Google Sheets for audit and refinement.

5. Best Practices for Prompt Engineering & Deployment

Effective summaries hinge on clear prompts. Instruct the AI to focus on “key findings, date, and implications” and to write in a neutral, concise tone. Implement retry logic in your workflow to handle occasional API timeouts. Protect sensitive feeds by securely storing credentials and limiting access. Finally, review logged summaries weekly to refine your prompt and ensure the assistant stays aligned with your information needs.

“Ready to get your morning insights on autopilot? Sign up for STGNX Starter and download our free ‘AI Research Assistant Template’—start receiving concise article summaries daily!”