Ever feel like you're on the sidelines? You see people launching cool projects, building little income streams, and you know you can do it too. Your brain is buzzing with ideas, but when it comes time to actually start... paralysis. The "where do I even begin?" feeling is real, and it can be really discouraging. This guide is for you. We're going to break that cycle. No more overthinking. Just simple, small steps to get you from idea to a real, finished thing. Let's do this. === Step 1: Find Your "First Thing" Idea Forget about building a million-dollar business right now. We just need one small, real idea to get you moving. Think about these three areas: - What are you already good at from your job? Or a past job? - What hobbies do you get lost in for hours? What do you love? - What’s a small, annoying problem you wish you could solve for yourself? Now, let's use some AI magic to connect the dots. ChatGPT Prompt Idea: "I want to start building a small project to learn [Your Tool, e.g., N8N, Webflow, a coding language]. My skills and passions are [list them here]. Can you suggest 3 simple project ideas that solve a real problem for a specific group of people? Ask me questions if you need more details to give better ideas." === Step 2: Sharpen Your Idea You'll get a few ideas back. Pick the ONE that feels the most exciting. The one that makes you think, "Yeah, I could actually build that." Now, we need to figure out what the simplest possible version of it looks like. We'll create a "Free Taste" and a "Full Meal" version. The free one gives real value and gets people interested. The paid one is the full solution. ChatGPT Prompt Idea: "Okay, I like this idea: [your chosen idea]. Help me outline a 'Free Taste' version and a 'Full Meal' (paid) version. What are the absolute core features for the free version to be useful? What extra value would make someone happy to pay for the full version?" === Step 3: Map It, Summarize It, & Start Building This next part is a huge time-saver. We're going to create a "Project Cheat Sheet" to feed the AI for every future prompt. This keeps your marketing, your instructions, and your ideas all on the same page.

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.