📘 Specifications – AI Development for Product Research and SEO [French Market] 🎯 Context & Objective A concrete and strategic mission: automate and enhance product research (winners) and high-potential SEO keywords through AI for the Winners Club. 🧩 Current Challenges - 7 team members currently dedicated to manual research of products and keywords. - Use of platforms such as: - Data tracking is done in a shared Google Sheet, including links to sources and weekly manual validation. - Objective: 10 validated new products per week. 🧠 Project Goal (AI) Create an autonomous or semi-autonomous tool that: 1. Automates trending, high-potential SEO keyword discovery. 2. Performs intelligent scraping of e-commerce and ad sources. 3. Uses AI to correlate keywords with potentially winning products. 4. Generates a weekly prioritized list of products and keywords for human validation. 5. Automatically fills a dashboard or database (e.g., Google Sheet, Notion, Airtable, Supabase, etc.). ⚙️ Expected Features for this POC (Proof of Concept) 1. 🔍 Trend Detection - Use the Google Trends API (country-by-country in Europe + USA). - Identify emerging keywords in major e-commerce categories. - Combine with SEMrush databases or free alternatives (e.g., Ubersuggest, Ahrefs API if available). 2. 🧰 Multi-Source Scraping Scrape the following sources, with filters by country/language (non-exhaustive): - Facebook Ads Library (by keyword or specific pages) - TikTok Creative Center / Ads Library - Amazon Best Sellers - Google Shopping - Mindeo - Competitor stores (predefined list) ⚠️ The scraper must: - Avoid duplicates - Tag already analyzed products - Allow filtering by date / recency 3. 🤖 AI Correlation & Scoring - Correlate trending keywords with found products. - Generate a relevance score based on: 4. 📊 Output & Visualization - Create a management app for keywords/products by niche, including: - Product database should include: - Interface: ideally a user-friendly web app, initially connected to Google Sheet for easy integration into the current workflow.

Hey everyone, I’m currently working on creating simple customer support agents and lead generation bots, with a focus on European-based businesses. I’ve been using Voiceflow + Voiceglow (Tixagents) + Make, but I’m exploring my options for integrating with WhatsApp and need some advice. Here’s what I need to do: 1. Build customer support bots that can answer knowledge base questions. [I know how to do] 2. Implement lead gen via Airtable integration. [I know how to do] 3. The client wants this to run on WhatsApp. [I have never done it before and need advice] 4. The bot should be able to respond to general public questions, but also provide “private access” for customers. 5. The bot should be simple initially but have the potential to scale and be duplicated for multiple clients. Here are my questions: I know Voiceflow with Voiceglow can connect to WhatsApp module I know n8n has an agent module, and i can connect Voiceflow with voiceglow to it and then route it through WhatsApp A. Make has its own agent module. Can I connect this to WhatsApp and use it alongside Voiceflow? B. In terms of performance and cost, if you had to develop and duplicate a simple agent for multiple clients, which option would you choose: Voiceflow with Voiceglow then route to whatsapp app, Voiceflow connected to n8n then whatsapp, or Voiceflow connected Make Agent then Whatsapp? C. In terms of cost, is n8n cheaper when hosted compared to Make Agent? (I’m talking about clients who won’t have 10,000 requests per month—most will be small to medium businesses with maybe 100-200 requests max). D. How would you secure access to the private area with the least risk of hacking? Do you verify the phone number of the person chatting? Or do you ask for their email, check it against your database, and then ask for a password (for example, all students in my training program know this password and can access it)? Anyone with real-world experience here? E. Finally, I want to know: in your opinion, are the LLM knowledge base questions on n8n (using Airtable or Notion) or Make as effective as Voiceflow for answering knowledge base queries?

Hey i saw this job, how would you solve it? 🛠 AI Visual Inspection Tool – Project Brief Hello everyone! We’re a construction equipment rental company, and we’re looking to build a visual analysis tool using AI to automate the comparison of photos taken before and after each rental. Every time a piece of equipment is rented out (e.g. boom lifts, mini-excavators, dumpers…), we take multiple photos before and after. The goal is to automatically detect damages, scratches, missing parts, or dents by comparing these images. 🎯 What we want the tool to do: - Accept 4 photos of the same machine (before & after rental) - Auto-align or semi-align the images to match angles - Automatically detect: - Visually highlight the differences (bounding boxes or overlay) - Export a report: either an annotated image or a written summary 💡 Tech context: Our internal ERP system sends the photos before and after each rental, so integration with that backend is needed. 🚀 We’re looking for: A freelancer or team who can design and build this AI-based visual inspection tool from end to end. ❓I’m sharing this with the Skool community to get your insights: - Have any of you worked on similar AI/computer vision projects? - What tools or models would you recommend (e.g. OpenCV, YOLO, SAM, Diffusion models…)? - How would you structure the detection logic and training process for real-world industrial photos? Thanks a lot for your input 🙌 Jean-Charles

Hey have you guys seen the agent on https://www.portadafrente.com/ just ask for a 2 beds at 1.5 million euros in PORTO for a test, its really cool, and they even sinked like if you ask the bathroom it starts a video at the bathroom level. Any idea which platform do they use?

Looking for Recommendations on Lead Generation & Qualification Setup I’ve noticed that many clients are looking for a streamlined system like this: • Running Google Ads or Facebook Ads to a landing page • Capturing leads via a form and sending the data to a CRM or Google Sheets • Contacting and qualifying the lead To optimize this, I’m exploring different tools for outreach and automation. Whether it’s using VAPI or RETELL for calls, setting up a GHL agent for discussions, or leveraging WhatsApp, SMS, or email to direct leads to an automated calendar booking, I want to ensure the most efficient setup. (Maybe voiceflow?) What systems and technologies have you found to be the most effective for this type of workflow? Any insights or recommendations would be greatly appreciated! Any videos, feedback on this appreciated