Let's get to know each other! Comment below sharing where you are in the world, a career goal you have, and something you like to do for fun. 😊

Every week we see new product and service trends pop up, but the real question is: how do we, as builders and agency owners, actually capitalize on them? I've broken down 4 massive trends that are blowing up right now on Google. But we're not just talking about them. I'm giving you the exact business ideas and the LLM prompts to start building an MVP this week using n8n and AI coding agents. ---------------------------------- TREND #1: THE AI-POWERED STUDY ASSISTANT The Rundown: Tools like Mindgrasp are exploding in the college market. Students upload any study material (lecture notes, PDFs, YouTube videos) and the AI spits out quizzes, flashcards, and summaries. With over 85% of students using AI, this market is a blue ocean of opportunity. The Opportunity: Niche Down for Massive Value Instead of a general study tool, build an "AI MCAT/LSAT/CFA Tutor." Target high-stakes exams where students are already spending thousands on prep. You'll provide a hyper-focused tool that turns dense prep books and lectures into interactive study materials. Your Action Plan: 1. Build a simple web app where a user can upload a PDF or paste text from their study materials. 2. Fire off a webhook to an n8n workflow that processes the text. 3. The workflow uses an LLM to identify key concepts and generate quiz questions and flashcards. 4. The results are stored in a database (like Supabase) and displayed back to the user on the web app. Your Prompts: --- PROMPT FOR N8N WORKFLOW DESIGN: START --- Act as an expert n8n automation architect. I need to design a workflow for my AI Study Assistant app. The trigger is a Webhook that receives a JSON object containing 'userId' and 'studyText'. Here is the step-by-step logic I need you to outline in a clear, actionable format: 1. Parse the input: Extract the 'studyText'. 2. Generate Key Concepts: Send the 'studyText' to a Claude 3.5 Sonnet node. The prompt should ask it to extract the top 10-15 most important concepts, terms, and definitions from the text. The output should be a clean list.