Automated News to Newsletter AI Agents
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This workflow automates the process of news aggregation, summarization, and newsletter creation using AI agents.
About This Workflow
This workflow aims to create a newsletter from various news sources. It utilizes a series of AI agents and Langchain nodes to fetch, process, and format news content. The workflow starts with a schedule trigger, fetches news from Google Sheets, then uses different AI agents (News Reporter, Research Leader, Project Planner, Research Assistant, Editor) to research, plan, and write articles. It also incorporates Perplexity AI for research and OpenAI models for language generation. The final output is a structured article that can be sent via Gmail.
Key Features
- Automated News Fetching: Retrieves news topics from Google Sheets.
- AI-Powered Research: Employs AI agents and Perplexity API for in-depth research.
- Content Generation: Utilizes Langchain agents and OpenAI models to write articles.
- Structured Output: Parses and formats output from AI agents.
- Multi-Agent Collaboration: Orchestrates multiple AI agents for different tasks (reporting, research, editing).
- Newsletter Preparation: Merges content and prepares it for distribution.
How To Use
- Schedule Trigger: Set up a schedule for when the workflow should run.
- News to Monitor: Configure a Google Sheet to list the news topics or sources to be monitored.
- Loop Over Items: The workflow iterates through each news item from the Google Sheet.
- Settings: This node likely holds crucial configuration parameters for the subsequent AI agents.
- Switch: Directs the workflow based on conditions, potentially differentiating between initial reporting and deeper research tasks.
- News Reporter: An AI agent responsible for initial news gathering and reporting.
- Markdown: Processes the output from the News Reporter into Markdown format.
- Title: Generates a title for the news content using an OpenAI Chat Model.
- OpenAI Chat Model1: The language model powering the title generation.
- Research Leader 🔬: An AI agent that oversees and directs research tasks.
- Project Planner: An AI agent that plans the structure and content of the article.
- Structured Output Parser: Parses structured data from AI agents.
- OpenAI Chat Model2: The language model used by the Project Planner.
- Delegate to Research Assistants: Splits the research task among multiple 'Research Assistant' agents.
- Research Assistant: AI agents that perform specific research tasks.
- Perplexity_tool1 & Perplexity_tool2: Integrations with Perplexity AI for research queries.
- OpenAI Chat Model4 & OpenAI Chat Model5: Language models for Research Assistants.
- Merge chapters title and text: Combines the generated titles and content from different sections.
- Final article text: A code node that likely performs final formatting or assembly of the article.
- Editor: An AI agent that refines and edits the final article.
- OpenAI Chat Model6: A language model used by the Editor and for title generation.
- Title1: Potentially a final title generation step after editing.
- Perplexity API: An HTTP request node for interacting with the Perplexity API.
- Execute Workflow Trigger: Triggers another part of the workflow (likely for post-processing or sending).
- Response: Sets the final output of the workflow.
- Gmail1 & Gmail2: Sends the generated newsletter content via Gmail.
Apps Used
Workflow JSON
{
"id": "901458b6-b70d-4a00-bdd7-a4fc585818ec",
"name": "Automated News to Newsletter AI Agents",
"nodes": 24,
"category": "Content Creation",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 901458b6-b70d...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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