I record all my calls in Fathom—a super convenient tool that, unlike Fireflies, doesn’t require a paid plan. However, there are two major issues: 1️⃣ No public API – making automation tricky. 2️⃣ Fixed summaries – you can’t customize the default summary, which limits deeper insights. 🔍 The Solution? Their Internal API! I explored it and managed to extract four key features: ✅ Call List with Date Filtering – I only need yesterday’s calls, so I pull them dynamically. ✅ Call Details – This includes all default-generated summaries, key points, and questions. ✅ Generating a Shareable Link – By default, no link exists, and you have to manually generate it in the UI. I found the request that automates this. ✅ Call Transcription – Comes pre-split by speaker roles, making it perfect for direct AI processing without extra formatting. 📌 Next Steps? I run the transcription through OpenAI with a JSON schema, generating a structured summary with a direct link to the call. Automatically send the results to Skool—depending on the call, it goes to either the paid community or the free one. 💬 What call recording service do you use? Let’s discuss in the comments! 🚀

🔍 Real Business Case: A company struggled with time-consuming manual SQL queries and outdated data analysis methods, resulting in delayed insights and slow decision-making. ⚡️ AI-Powered Solution: We built an AI agent using OpenAI’s API and the automation platform N8N. Now, instead of manually running SQL queries, users simply ask the AI in plain language. The agent automatically translates user requests into SQL queries, retrieves data directly from the database, and instantly provides accurate analysis. Key capabilities include: • Natural Language Queries: No more manual SQL—just type your request, and the AI handles the rest. • Real-Time Data: The agent always pulls the latest information directly from your database. • Advanced Analysis: Beyond simple queries, the agent leverages OpenAI’s Code Interpreter to run Python scripts for more sophisticated data analysis and visualization. • Interactive Reports & Dashboards: Generate dynamic reports, apply filters, sort data, or visualize results with interactive graphs—all generated on demand. ✅ Why It Works: • Automates SQL queries, significantly speeding up the reporting process. • Eliminates manual data handling, reducing human error and effort. • Provides deeper insights through advanced Python-based analysis, empowering faster and smarter decision-making. This approach makes your entire reporting workflow more efficient, accurate, and insightful.

🔍 Real Business Case: A member of our community mentioned Poppy AI—a viral tool helping content creators streamline their workflow. While they weren’t looking to replicate it, they highlighted its impact, and I said, 'I can build something like this in just 3 hours.' Challenge accepted. ⚡️ The Solution: Using Lovable, Supabase, and N8N, I built a prototype that allows users to store and repurpose different types of content for generating new engaging material. The process involved: - Writing a PRD document to outline the functionality. - Prototyping the interface in Lovable. - Setting up Supabase for structured data storage. - Creating N8N workflows for seamless interaction with OpenAI’s assistant. This stack is incredibly powerful for building SaaS tools or internal business apps in just a few hours. 💡 Why It Works: - Enables fast and efficient content repurposing with automation. - Saves time and costs compared to traditional content creation methods. - Allows non-technical users to build scalable tools without complex coding. 🗣️ What SaaS tool or automation would you build for your business in just a few hours? Let’s discuss!

🔍 Real Business Case: Imagine trying to manually analyze stock data for multiple companies every day. This tedious process consumes valuable time and increases the potential for errors, leaving you with outdated insights and slow decision-making. ⚡️ The Solution: By using AI agents with N8N, you can automatically analyze stocks like Amazon with just a simple Telegram command. The agent generates insightful charts and provides real-time market analysis without requiring any code, allowing you to save time and focus on making informed decisions. Additionally, you can save a list of stock tickers in Airtable and set up an automated workflow to receive **daily analysis** on all your tracked stocks—ensuring you never miss important market movements. Why It Works: - Delivers precise stock analysis instantly, eliminating human error. - Saves hours of manual labor, enabling you to focus on strategic actions. - Provides a competitive edge with timely market insights tailored to your interests. - Automates daily stock analysis for multiple tickers stored in Airtable, keeping you updated effortlessly. 🗣️ Question: What stock analysis challenges have you faced?

🔍 Real Business Case: A company wanted to generate more content featuring their products to drive higher sales—without spending huge budgets on ads. Their strategy? Reverse-engineering viral Reels. Here’s how it works: 1️⃣ They analyze top-performing Reels from major creators in their niche. 2️⃣ They recreate these viral formats by hiring smaller creators to produce similar content. 3️⃣ One of these Reels eventually goes viral, generating massive sales at low cost—essentially seed investing in content instead of paid ads. With this system, you could track 100K+ creators and replicate proven viral formats to fuel content growth for your business. ⚡️ The Solution: Using n8n + Airtable + AI, we built an automated workflow that: - Scrapes viral Reels in your niche. - Analyzes key details like structure, timing, captions, and engagement triggers. - Generates step-by-step guidelines for recreating high-performing content. 💡 Why It Works: ✅ Automates content discovery – No more endless scrolling, AI surfaces trends instantly. ✅ Saves time & effort – Focus on creation, not research. ✅ Data-driven content strategy – Use proven viral formats instead of guessing. 🗣️ Are you using automation in your content creation? What’s been your most effective strategy so far? Let’s discuss in the comments! 🚀