This AI System Writes Expert-Level Blog Posts (Deep Research + Claude 3.7)

This AI System Writes Expert-Level Blog Posts (Deep Research + Claude 3.7)

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This AI System Writes Expert-Level Blog Posts (Deep Research + Claude 3.7)
👉 Get all of our templates built on Make.com & n8n here (including these ones): https://www.theaiautomators.com/?utm_source=youtube&utm_medium=video&utm_campaign=tutorial&utm_content=ai_blogging_deep_research https://www.youtube.com/watch?v=Hj7s1QMPaus https://www.youtube.com/watch?v=6wJaqpJyswA https://www.youtube.com/watch?v=XoDuyqeX4tU Chapters: 0:00 - Overview 1:25 - Automation walkthrough 3:23 - Deep research 6:17 - Images and video 8:31 - AI writing using Claude 3.7 Sonnet 12:26 - Social media text In this video, we dive into an advanced AI blogging automation system that leverages Perplexity’s deep research feature alongside Claude 3.7 Sonet, a cutting-edge hybrid reasoning AI model. We've created two different automation workflows for this—one using Make.com, which is simpler to set up, and another using n8n, which offers additional capabilities like triggering article generation through AI agents via Telegram or another messaging platform. We start by demonstrating how these automations interact with Airtable to streamline bulk article creation. Using Perplexity’s deep research capabilities, the system fetches real-time, relevant data to enhance content quality. The AI model simplifies long-form blog creation by removing the need for iterative content generation, allowing for full-length articles to be produced in one go. A key part of the workflow involves structuring the article using Claude 3.7 Sonet, which organizes key points, data insights, and relevant internal links to improve search engine optimization. The automation also includes a dynamic approach to media generation, utilizing the Flux 1.1 Ultra image model for high-quality visuals, which are then uploaded directly to WordPress. SEO optimization is taken a step further with the integration of the Data for SEO API, which scrapes Google search results to fetch relevant YouTube videos. These videos are then seamlessly embedded into the blog post to enrich the reader's experience. The automation also generates social media posts tailored for platforms like Instagram, Twitter, Facebook, and LinkedIn, making content distribution effortless. Using structured prompts and JSON formatting, the system ensures clean and efficient outputs that can be scheduled for posting.