Tech news_curator - analyze daily news using AI_agents with Mistral

Open on n8n.io

$20/month : Unlimited workflows

2500 executions/month

Try free

THE #1 IN WEB SCRAPING

Scrape any website without limits

Try free

HOSTINGER

Early Deal
DISCOUNT 20%

Self-hosted n8n

Unlimited workflows - from $4.99/mo

Try free

#1 hub for scraping, AI & automation

6000+ actors - $5 credits/mo

Try free

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Best for

Content Creation automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.merge, n8n-nodes-base.aggregate, n8n-nodes-base.rssfeedread, n8n-nodes-base.filter, @n8n/n8n-nodes-langchain.lmchatmistralcloud, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.splitout, n8n-nodes-base.scheduletrigger

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Hybroht.

Original n8n.io source

1.1 Workflow description

Title: Tech news_curator - analyze daily news using AI_agents with Mistral
Workflow name: Tech news_curator - analyze daily news using AI_agents with Mistral

Using Mistral API, you can use this n8n workflow to automate the process of: collecting, filtering, analyzing, and summarizing news articles from multiple sources. The sources come from pre-built RSS feeds and a custom DuckDuckGo node, which you can change if you need. It will deliver the most relevant news of the day in a concise manner.

++How It Works++

The workflow begins each weekday at noon.

The news are gathered from RSS feeds and a custom DuckDuckGo node, using HTTPS GET when needed.

News not from today or containing unwanted keywords are filtered out.

The first AI Agent will select the top news from their titles alone and generate a general title & summary.

The next AI Agent will summarize the full content of the selected top news articles.

The general summary and title will be combined with the top 10 news summaries into a final output.

++Requirements++

An active n8n instance (self-hosted or cloud).

Install the custom DuckDuckGo node: **n8n-nodes-duckduckgo-search**

```
A Mistral API key
```

Configure the Sub-Workflow for the content which requires HTTP GET requests. It is provided in the template itself.

++Fair Notice++

This is an older version of the template. There is a superior updated version which isn't restricted to tech news, with enhanced capabilities such as communication through different channels (email, social media) and advanced keyword filtering. It was recently published in n8n. You can find it here. If you are interested or would like to discuss specific needs, then feel free to contact us.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Merge

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.1

Block 2 - Aggregate

Type / Role: n8n-nodes-base.aggregate - aggregate
Config choices: Version 1

Block 3 - ScienceDaily Feed

Type / Role: n8n-nodes-base.rssFeedRead - rssFeedRead
Config choices: Version 1.1

Block 4 - AlternativeTo Feed

Type / Role: n8n-nodes-base.rssFeedRead - rssFeedRead
Config choices: Version 1.1

Block 5 - MIT Technology Review Feed

Type / Role: n8n-nodes-base.rssFeedRead - rssFeedRead
Config choices: Version 1.1

Block 6 - lobste.rs Feed

Type / Role: n8n-nodes-base.rssFeedRead - rssFeedRead
Config choices: Version 1.1

Block 7 - Filter by Datetime

Type / Role: n8n-nodes-base.filter - filter
Config choices: Version 2.2

Block 8 - Mistral Cloud Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatMistralCloud - lmChatMistralCloud
Config choices: Version 1

Block 9 - News Analyzer

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.6

Block 10 - Split Out News Data

Type / Role: n8n-nodes-base.splitOut - splitOut
Config choices: Version 1

Block 11 - Remove Certain Content

Type / Role: n8n-nodes-base.filter - filter
Config choices: Version 2.2

Block 12 - Silicone Republic Technology Feed

Type / Role: n8n-nodes-base.rssFeedRead - rssFeedRead
Config choices: Version 1.1

Block 13 - Silicone Republic Science Feed

Type / Role: n8n-nodes-base.rssFeedRead - rssFeedRead
Config choices: Version 1.1

Block 14 - Schedule

Type / Role: n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices: Version 1.2

Block 15 - HTTP Request

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 16 - Rejoin Data

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 17 - Join Outputs

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.2

Block 18 - Final Aggregate

Type / Role: n8n-nodes-base.aggregate - aggregate
Config choices: Version 1

Block 19 - Website Summarizer

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.6

Block 20 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 21 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 22 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 23 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 24 - Sticky Note5

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Showing the first 24 of 48 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Tech news_curator - analyze daily news using AI_agents with Mistral
Complexity	advanced
Nodes	48
Categories	Content Creation, AI Summarization
Author	Hybroht
Published	25 Jun 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/5339/5339.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Content Creation workflows AI Summarization workflows

Frequently asked questions

What does Tech news_curator - analyze daily news using AI_agents with Mistral do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, AI Summarization use case.

Hybroht

6 workflows

Nodes

n8n-nodes-base.merge n8n-nodes-base.aggregate n8n-nodes-base.rssfeedread n8n-nodes-base.filter @n8n/n8n-nodes-langchain.lmchatmistralcloud @n8n/n8n-nodes-langchain.agent n8n-nodes-base.splitout n8n-nodes-base.scheduletrigger

Complexity

advanced

Published 25 Jun 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/5339/5339.json

Share Your Workflow

Have a useful automation to share? Publish it and help the community.

Submit Your Template How to Submit

Related Workflows

Send daily LinkedIn post drafts with Tavily, Groq Llama 3.3 and Gmail

## Quick overview This workflow runs daily at 8 AM to rotate through a topic list, research it with Tavily web search, generate a LinkedIn post and image prompt with Groq (Llama 3.3 70B), create a Pollinations.ai image URL, and email you the post with the image attached via Gmail. ## How it works 1. Runs every day at 8:00 AM on a schedule. 2. Selects today’s topic from a rotating list based on the day of the year. 3. Searches the web with Tavily to fetch up-to-date results for the selected topic. 4. Uses a Groq-hosted Llama model to write a LinkedIn post and a matching image prompt grounded in the Tavily results. 5. Builds a Pollinations.ai image generation URL from the image prompt and downloads the generated image file. 6. Emails the post text with the image attached via Gmail, and sends a text-only fallback email if image generation or download fails. ## Setup 1. Add a Groq API credential to the Groq Chat Model node. 2. Create a Tavily API key and configure HTTP Header Auth with `Authorization: Bearer <YOUR_TAVILY_KEY>` for the Tavily Search request. 3. Connect a Gmail OAuth2 credential and update the recipient email address in both Gmail send steps. 4. Edit the topic list in the topic-selection code step if you want different rotating themes. ## Requirements - Groq API key (free tier available) - Tavily API key (free tier — 1,000 searches/month) - Gmail account (OAuth2) ## Customization - Edit the topic list inside the "Pick Today's Topic" code node to change what subjects the post rotates through. - Change the Groq model in the "Groq Chat Model" node if you want a different LLM (e.g. a smaller/faster or larger Groq model). - Adjust the schedule trigger if you want a different posting time, or swap the Gmail "send to" address to deliver the draft to someone else for review. ## Additional info This workflow emails you a draft for manual review before posting — it does not post to LinkedIn automatically. If image generation fails, a text-only fallback email is sent instead so you never miss the post text.

View

Generate VEO3 videos from form ideas with ChatGPT, fal.ai, Drive and Gmail

## Quick overview This workflow collects a video idea via an n8n Form, uses OpenAI to turn it into an optimized prompt, generates an 8-second VEO3 video with native audio via fal.ai, saves the MP4 to Google Drive, and emails the Drive link via Gmail. ## How it works 1. Receives a submission from an n8n Form with the requester’s email, a plain-English video idea, and a selected style. 2. Uses OpenAI (via an AI Agent) to convert the idea and style into a structured VEO3 title and detailed prompt returned as JSON. 3. Cleans and parses the AI JSON, creates a filename-safe title, and sets the generation parameters to 16:9 and 8 seconds. 4. Submits the prompt to fal.ai’s queue endpoint for the fal-ai/veo3 model and gets a request ID. 5. Polls fal.ai every 30 seconds until the job status returns COMPLETED. 6. Retrieves the final MP4 URL from fal.ai, downloads the video, uploads it to Google Drive, and emails the Google Drive web link to the requester via Gmail. ## Setup 1. Create a fal.ai account, generate an API key, and replace `YOUR_FAL_AI_API_KEY` in the fal.ai HTTP request headers. 2. Add an OpenAI API credential in the OpenAI Chat Model node and select the model you want to use. 3. Connect Google Drive OAuth2 and replace `YOUR_GDRIVE_FOLDER_ID` with the target folder ID where videos should be saved. 4. Connect Gmail OAuth2 for sending emails, then activate the workflow and use the Form URL (path `veo3-video-generator`) to submit requests.

View

Generate presentation decks from prompts with Encelade

## Quick overview This workflow starts a presentation generation job in Encelade from a prompt and outline hints, polls Encelade for completion, and outputs the finished deck link (or stops with an error if generation fails). ## How it works 1. Starts when you manually execute the workflow in n8n. 2. Sends the topic, slide count, audience, tone, theme settings, and outline hints to Encelade to generate a 6-slide presentation. 3. Waits 20 seconds and then checks the Encelade session status using the returned session ID. 4. If the session phase is not finished, it keeps waiting and rechecking until the phase changes. 5. When the phase is "done", it returns the generated deck link and project PID. 6. When the phase is "failed", it stops the workflow and raises an error with the failure details. ## Setup 1. Install and configure Encelade credentials in n8n for the Encelade node. 2. Update the generation inputs (topic, page count, outline hints, audience/tone, theme mode, and media provider) to match the deck you want to create. 3. Ensure the workflow has enough time to complete by adjusting the 20-second wait interval if your Encelade generations typically take longer.

View

Need Custom Automation?

Get help designing a custom n8n workflow that connects your stack and fits your process.

Tech news_curator - analyze daily news using AI_agents with Mistral

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Merge

Block 2 - Aggregate

Block 3 - ScienceDaily Feed

Block 4 - AlternativeTo Feed

Block 5 - MIT Technology Review Feed

Block 6 - lobste.rs Feed

Block 7 - Filter by Datetime

Block 8 - Mistral Cloud Chat Model

Block 9 - News Analyzer

Block 10 - Split Out News Data

Block 11 - Remove Certain Content

Block 12 - Silicone Republic Technology Feed

Block 13 - Silicone Republic Science Feed

Block 14 - Schedule

Block 15 - HTTP Request

Block 16 - Rejoin Data

Block 17 - Join Outputs

Block 18 - Final Aggregate

Block 19 - Website Summarizer

Block 20 - Sticky Note

Block 21 - Sticky Note1

Block 22 - Sticky Note2

Block 23 - Sticky Note4

Block 24 - Sticky Note5

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions