This article provides a complete, practical walkthrough of the Splitout Schedule 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:  
   Automate an AI-Powered Tech Newsletter with n8n, OpenAI, and Gmail
   
   Meta Description:  
   Learn how to use n8n, OpenAI, and Gmail to build your own AI-powered personalized tech newsletter that summarizes news from top RSS feeds weekly based on your interests.
   
   Keywords:  
   n8n automation, AI tech newsletter, RSS news summary, OpenAI GPT, Gmail automation, vector database, tech news aggregator, OpenAI embeddings, LangChain, semantic search, personal newsletter AI, GPT-4o
   
   Third-Party APIs Used:
   
   - OpenAI API (embeddings, GPT-4o summarization)
   - Gmail API (sending email via Gmail OAuth2)
   - RSS Feed Reader (builtin to n8n, for parsing feeds)
   
   —
   
   Article:
   
   Stay Updated Without the Overload: Automating Your Personalized AI Tech Newsletter in n8n
   
   In the age of information overload, keeping up with the latest in technology can feel overwhelming. While RSS feeds and newsletters offer solutions, they often deliver too much content with too little personalization.
   
   What if you could have an AI assistant that reads the top tech news daily, stores the most relevant stories based on your interests, and sends you a tidy, personalized summary every week?
   
   With the no-code automation tool n8n, coupled with OpenAI and Gmail, you can now build exactly that.
   
   Let’s explore how this workflow functions and how you can make it your own.
   
   ☕ The Concept
   
   This n8n workflow is designed to automate the process of news discovery, filtering, summarization, and delivery—all without you lifting a finger. It combines multiple technologies to create a seamless experience:
   
   - Uses RSS to fetch articles from leading tech sites like Wired, The Verge, TechCrunch, and Ars Technica.
   - Extracts and transforms article data (title, summary, date).
   - Embeds articles into a vector store with OpenAI embeddings for semantic search.
   - Weekly, it uses GPT-4o to summarize the top stories based on your declared interests.
   - Delivers that summary straight into your Gmail inbox in a clean HTML format.
   
   🛠️ How It Works
   
   Here’s the play-by-play of how the workflow operates:
   
   1. Daily Article Collection
   A scheduled n8n trigger runs every day to perform the following:
   
   - Loads RSS feeds from major tech sites like:
     - https://www.theverge.com/rss/index.xml
     - https://techcrunch.com/feed/
     - https://www.engadget.com/rss.xml
     - And others
   
   - Reads each feed and splits the articles out individually.
   - Normalizes fields like title, summary (content), and publish date.
   - Creates vector embeddings of these articles using OpenAI’s API.
   - Loads the processed content into an in-memory vector store for efficient text retrieval and semantic matching.
   
   2. Weekly AI Summary & Email Delivery
   A second scheduled trigger runs once a week to generate and send your personalized newsletter:
   
   - You predefine your interests (e.g., AI, games, gadgets) and the number of news items to include.
   - n8n uses a built-in LangChain-compatible AI agent (GPT-4o behind the scenes) to:
     - Query the vector store.
     - Retrieve news articles from the past week.
     - Generate a plain-language summary focused specifically on your topics.
   - The response is converted into email-friendly HTML.
   - Finally, Gmail sends the formatted newsletter directly to your inbox.
   
   All of this, fully automated. No app switching, no endless scrolling.
   
   ⚙️ Under the Hood: Tools and APIs
   
   This system utilizes several core technologies:
   
   - 🤖 OpenAI API:
     - Used twice:
       - Once to embed the news content semantically into a vector database.
       - Again to generate the newsletter summary with GPT-4o.
   - 📧 Gmail API:
     - Sends the finished email to the user using OAuth2 authentication.
   - 📡 RSS Feed parsing:
     - Built-in n8n nodes handle RSS reading from multiple sources.
   
   💡 What Makes This Workflow Powerful
   
   - Personalized: You control the topics and number of headlines.
   - Noise reduction: No FOMO or clickbait—just focused, relevant content.
   - AI-generated summaries: Professional, readable recaps driven by GPT-4o.
   - Automated delivery: Never miss a beat—your newsletter arrives weekly without intervention.
   
   🧪 Customize It to Fit Your Needs
   
   The workflow is modular and can be easily adjusted:
   
   - Swap in your preferred RSS sources.
   - Change from Gmail to Telegram or Slack for delivery.
   - Use a persistent vector database like Pinecone, Weaviate, or Qdrant to maintain news storage over time.
   - Modify the system message prompt to alter tone, format, or language of the summaries.
   
   📦 Requirements to Get Started
   
   - An n8n instance (self-hosted or cloud)
   - OpenAI API key (for embeddings and chat model)
   - A Gmail account (OAuth2 credentials configured in n8n)
   - Optional: Other messaging or database integrations
   
   📨 Let AI Be Your News Curator
   
   Imagine starting each week with a thoughtful roundup of relevant tech trends—tailored to your interests and curated by AI. This workflow is more than an automation; it’s a personal AI journalist who knows what matters to you.
   
   With n8n, that future is plug-and-play.
   
   —
   
   Try it. Tweak it. Own your information experience—on your terms. 🧠💌

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.