This article provides a complete, practical walkthrough of the Splitout Code Create Scheduled n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:
   Automated AI-Powered News Digest Using n8n and GPT-4o: Delivering Smart Briefings for Executives
   
   Meta Description:
   Discover how an automated n8n workflow fetches news, analyzes headlines using GPT-4o, and emails a daily digest tailored for executives—turning scattered information into strategic insights.
   
   Keywords:
   n8n workflow, GPT-4o, executive news briefing, automated email digest, RSS automation, Calcalist, Mako, AI news selection, HTML email automation, Israeli news digest
   
   —
   
   Article:
   
   Delivering Executive Intelligence: Automating News Digests with n8n and GPT-4o
   
   For senior executives, staying informed on a daily basis is essential—but time is finite. In an era inundated with digital noise, how do you filter hundreds of news articles down to only what really matters?
   
   This challenge is elegantly solved by an automated workflow built on n8n, the open-source automation platform, and powered by GPT-4o, OpenAI’s latest multimodal model. This intelligent integration collects dozens of news articles daily from top Israeli sources, selects the most relevant headlines using AI, and formats a curated briefing directly into an email inbox every evening at 8 PM.
   
   Let’s break down how this system works—and why it’s a game-changer for information-hungry professionals.
   
   Step 1: Smart News Aggregation from Reputable Sources
   
   The journey begins with n8n's Schedule Trigger, which activates the workflow once a day at 20:00 Israel time. From here, the workflow fetches the latest articles from two prominent RSS feeds:
   
   - Calcalist (https://www.calcalist.co.il/GeneralRSS/0,16335,L-8,00.xml)
   - Mako (https://storage.googleapis.com/mako-sitemaps/rss-hp.xml)
   
   These feeds span topics including national economy, technology, and current affairs. Once fetched, each article is parsed and cleaned up for readability—this includes stripping overly formatted titles, normalizing links, and converting publication dates into Unix timestamps for sorting.
   
   Step 2: Data Cleaning and Deduplication
   
   To avoid redundant or outdated news, the workflow filters out any invalid (NaN) publication dates. It then sorts all the remaining articles by publication time, ensuring that only the freshest content is considered.
   
   Through a custom JavaScript node titled “Clean List,” the system de-duplicates articles using their URLs and selects the top 50 by recency. These headlines and links are formatted into a structured prompt for the next step: AI evaluation.
   
   Step 3: Relevance Filtering by GPT-4o
   
   Now comes the magic moment.
   
   n8n passes the top 50 headlines and links to OpenAI’s GPT-4o via the ChatGPT node. Prompted as a virtual editorial assistant, GPT-4o is instructed to choose the five most important and relevant articles suitable for a busy CEO.
   
   Criteria for the selection include:
   
   - Focus on economy, technology, and strategy
   - At least one article concerning national security or current affairs
   - Prioritization of actionable insight over sensationalism
   
   The AI responds with structured JSON data including article titles and links, forming the curated content list for that day.
   
   Step 4: Enriching with Content Summaries
   
   To make the briefing more actionable, the workflow enhances selected articles by fetching their actual page content. Using n8n's HTTP Request node combined with CSS-selectors in the HTML Extract node, it retrieves short summaries directly from each article’s source page.
   
   This allows executives to grasp the key message at a glance without having to dive into full articles unless they choose to.
   
   Step 5: Personalized HTML Email Digest
   
   The workflow synthesizes this data into a clean, RTL-formatted (right-to-left) HTML email written in Hebrew. Each entry includes:
   
   - Title
   - Executive-focused summary
   - Direct link to the article
   - Responsive formatting for mobile + desktop
   
   This digest email is generated via a custom HTML template emphasizing readability, elegant formatting, and brand personalization (e.g., “Elay’s AI Assistant”).
   
   At the bottom of the email, a subtle signature promotes the transparent involvement of AI: “✨ This daily Israeli economic newsletter was automatically built for you by n8n AI Agent – because technology can work for you.”
   
   Step 6: Automated Email Delivery
   
   The composed digest is then merged with date metadata and sent using n8n’s Email Send node via configured SMTP credentials. The subject line dynamically personalizes each day’s email, e.g.:
   
   סקירה ה-AI היומית שלך: 12/04/2025  
   ("Your Daily AI Review: 12/04/2025")
   
   The recipient is a senior executive, in this case "Elay Guez,” providing a personalized and context-aware briefing every single day—without lifting a finger.
   
   —
   
   Third-Party APIs and Tools Used:
   
   1. OpenAI GPT-4o (via n8n LangChain integration)
   2. Calcalist RSS Feed – https://www.calcalist.co.il/GeneralRSS/0,16335,L-8,00.xml
   3. Mako RSS Feed – https://storage.googleapis.com/mako-sitemaps/rss-hp.xml
   4. SMTP Provider (e.g., Gmail SMTP for email delivery)
   
   —
   
   Conclusion:
   
   This n8n workflow shows how automation and AI can be seamlessly blended to solve a common executive pain point: information overload. By intelligently sourcing, filtering, enhancing, and delivering key news, it transforms a cluttered information landscape into a daily knowledge advantage.
   
   More than just a tech experiment, this system demonstrates a scalable blueprint for how AI agents can be deployed in practical, high-impact ways—serving the C-suite not just in theory, but in inboxes, every day.
   
   If time is money, then automated insight is ROI realized.
   
   Want to try something similar? Get started with n8n and connect your own data sources. The future of executive intelligence is already here.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.