Templates / Create weekly AI research briefings with Decodo, OpenAI, and Gmail

Create weekly AI research briefings with Decodo, OpenAI, and Gmail

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by Abdullah Alshiekh ✓ · 50 views · created 2025-12-23 · Market Research, AI Summarization

Unknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 17 nodes and runs on a schedule (every 7 days at 06:00). Along the way it connects Gmail, OpenAI Chat Model, Telegram and Decodo (community).

How it runs

Trigger: On a schedule (every 7 days at 06:00).

  1. Set Search Config (Edit Fields (Set)): sets or maps fields
  2. Search API (Decodo) (Decodo): google search
  3. Filter & Parse URLs (Code): runs custom JavaScript code
  4. Batch Loop (Loop Over Items (Split in Batches)): loops over the items in batches
  5. Summarize Chain (Summarization Chain): summarizes text with AI, with model: OpenAI Model (Summary)
  6. Scrape Content (Decodo) (Decodo): uses Decodo
  7. Aggregate Summaries (Code): runs custom JavaScript code
  8. Check Content Quality (If): checks a condition and branches into true / false
  9. Check Results Exist (If): checks a condition and branches into true / false
  10. Sanitize HTML (Code): runs custom JavaScript code

…plus 4 more steps. See the full node list below.

Services it uses

GmailOpenAI Chat ModelTelegramDecodo (community)

Before you upgrade to n8n 3.0

We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).

  • Check that @decodo/n8n-nodes-decodo is verified or supports 3.0 (used in Search API (Decodo), Scrape Content (Decodo)).

Nodes used (11)

From the author

What Problem Does It Solve? - Staying up-to-date with AI and LLM developments requires reading dozens of articles every week. - Manual research is time-consuming and often leads to “information overload” or reading low-quality clickbait. - Important technical…

Excerpt from Abdullah Alshiekh's description on n8n.io.

View the original on n8n.io → Check your own copy

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