AI ASMR is going viral. People are using Veo 3 to create videos that are flooding social media. 10 wild examples(Turn on your audio): 1. Cutting Coke cans

🚀 n8n's MCP integration is revolutionizing automation workflows! Just created a fully AI-native automation flow using n8n + MCP (Model Context Protocol) in just 3 minutes. My demo: Takes a URL, scrapes the article title and content, AI summarizes the content, then stores the title, URL, and AI summary to Notion database. Setup steps: 1. Create new workflow, select AI Agent 2. Add chat model - OpenAI to AI Agent, set credentials 3. Add tool - Jina to AI Agent, set credentials 4. Add tool - Notion to AI Agent, set credentials and set properties as defined automatically by the model 5. Open chat box and complete tasks through conversation! @n8n_io

AI Native Flow Case Study #23 - make - AI-Powered Workflow for Seamless Content Creation "Effortless content creation with AI—research, extract, write, and cite!" I needed a way to streamline content creation, ensuring relevance and credibility. So, I tested this AI-driven workflow to automate research, extraction, and structured writing. 🔑 AccessLevel Free 🔗 Source youtube.com/watch?v=OjHrc2-F… 🛠️ Testing Environment make.com 🧠 LLMs Used gpt-4o-latest 🤖 ModelType Text-Only; ✅ IsFunctional Yes 🚀 Performance Rating Great 🌟 Expected Behaviour This AI-driven automation workflow is designed to streamline content creation by researching trending topics and gathering information from reliable sources. It reads and analyzes articles, extracts key data, and organizes the content into a cohesive and logically structured article. The process ensures that all references used are credible and properly cited, providing a high level of trustworthiness and accuracy. This workflow significantly reduces the manual effort required for research and writing, enabling the creation of high-quality content efficiently, with the added benefit of always using verified sources. 📝 Actual Behaviour • Topic Research and Trend Identification: The workflow can automatically research and identify trending topics and key issues from various sources across the internet. This will help ensure that the content is relevant and timely. • Information Extraction and Organization: The system will extract key insights, facts, and data from multiple credible sources, organizing them into a structured format. This allows for a more streamlined content creation process. • Coherent Article Creation: The AI will generate a logically coherent and informative article, synthesizing the extracted information into a well-structured piece with a clear flow, making it ready for publication or sharing. • Credible References and Source Links: The AI will only use credible sources for the information and provide proper citations, including links to these sources, enhancing the reliability and authenticity of the generated content. 📊 Evaluation AI Native: (9/10) This AI-driven workflow effectively automates content creation by leveraging AI for research, extraction, structuring, and citation. It minimizes human effort while ensuring high-quality, credible content. 🔍 Workflow Breakdown 1️⃣ Topic and Hotspot Search (Google Search Tool): The workflow begins by using Google Search to scan the internet for relevant topics and trending articles. 2️⃣ Article Extraction (Jina.ai): After identifying relevant articles, Jina.ai is used to read and extract the content from these articles. 3️⃣ Content Creation (ChatGPT): The extracted content is then processed through ChatGPT, which creates a logically coherent and well-structured article based on the information gathered. 4️⃣ Updating Notion: The final, generated article is automatically updated and stored in Notion, ensuring that your content is organized and accessible in your workspace. Statement: Evaluation results are generated by AI, lack of data support, reference learning only. Author: Alex (@Alex_754142602) @make_hq @JinaAI_

AI Native Flow Case Study #14 - dify - Email Assistant Workflow 🔑 AccessLevel Free 🔗 Source cloud.dify.ai/explore/apps?c… 🛠️ Testing Environment Dify Cloud 🧠 LLMs Used gpt-3.5-turbo 🤖 ModelType Text-Only; ✅ IsFunctional Yes 🚀 Performance Rating Great 🌟 Expected Behaviour A multifunctional email assistant capable of summarizing, replying, composing, proofreading, and checking grammar. 📝 Actual Behaviour After evaluation, the multifunctional email assistant effectively handles summarizing, replying, composing, proofreading, and grammar checking. It performs well across these functions; however, the current implementation uses GPT-3.5, which is relatively outdated. Upgrading to GPT-4.0 is recommended to achieve improved performance and more advanced capabilities. 📊 Evaluation AI Native: (9/10) The workflow demonstrates high alignment with AI Native principles by effectively leveraging advanced AI (GPT) for automation and customization, although an updated model upgrade to GPT-4 would enhance its adaptive capabilities. 🔍 Workflow Breakdown 1️⃣ Input Your Email • Begin by entering the email content. Then, choose one of the available options: Summarize, Reply, Compose, or Improve. This selection determines the next action. 2️⃣ Process with GPT • Based on your chosen option, the system uses GPT to perform the selected task: • Summarize: Extract key points and provide a concise summary of the email. •Reply: Generate a thoughtful and relevant reply. •Compose: Draft a new email based on your input and requirements. •Improve: Refine the email by enhancing clarity, grammar, and tone. 3️⃣ Transform the Output • The result generated by GPT is processed through a template conversion tool to match the desired format or style, ensuring the output meets your specific needs. Statement: Evaluation results are generated by AI, lack of data support, reference learning only. Author: Allen (@allen180929) @dify_ai