Just uploaded a video that explains AI agents with a practical example - creating Google Calendar events automatically. Content overview: - Basic explanation of agent components (model, memory, tools) - Step-by-step setup process in a no-code environment - Connecting to Google Calendar API - Adding Airtable integration for contact management The tutorial walks through the fundamentals without unnecessary hype. You'll see the actual process of building and testing a functional agent that can schedule meetings based on natural language requests. If you've been curious about practical applications of AI agents but found most explanations too theoretical, this might be helpful.

UPDATE: I made a video guide and template based on this case that you can find in Classroom - link to guide 2025 is shaping up to be the year of the solo entrepreneur. Why? Because with AI automations and agents, you can operate an entire company by yourself. Let me show you how. Last week, I worked on a real case that’s a perfect example of this. A client needed to hire for multiple positions for their clients but didn’t want to hire an HR team. Instead, they had: 1. A list of jobs with specific requirements. 2. A Gmail account receiving hundreds of CVs for these positions. After just a few days, they had over 500 emails sitting in their inbox. Manually processing all of them would take a full week of non-stop work. So we built an AI automation system that handled everything in one day. Here’s how we did it: 1️⃣ Email Processing: Every 5 minutes, our automation fetched new emails. It downloaded attached CVs in PDF format. If the document was in a different format (like .doc or image-based PDFs), we sent a message asking the candidate to resend their CV as a single, readable PDF. For better parsing, we could have added LlamaParse, but the standard n8n node worked for this case. 2️⃣ Filtering Non-CVs: If an email wasn’t a CV, the system marked it as read and left it in the inbox. No manual intervention needed. 3️⃣ Job Matching: Each CV was automatically analyzed to find the best matching job. If no match was found, the email was marked as read, saving time on irrelevant applications. 4️⃣ Scoring Candidates: Once a CV was matched to a job, we applied a custom scoring system tailored to the job requirements. Different positions required different scoring logic, so we built a separate AI-powered scenario for this step. 5️⃣ Personalized Feedback: • If a candidate didn’t meet the required score, the system generated a personalized rejection email, including constructive feedback and highlighting their strengths.

Last time, I shared how we automated hiring 500+ candidates for a client without an HR team. If you missed that post, check it out here. Now, let’s talk about documents—because if you run a business, you know the struggle. This same client receives a constant flow of receipts and invoices via email and manually saves them to Google Drive. The problem? Finding and organizing these files later is a nightmare. They needed a way to automatically process, rename, and categorize them without spending hours sorting through folders. So we built an AI-powered automation that handles everything on autopilot. Here’s how it works: 🛠️ The Setup 1️⃣ Fetching New Files • Every time a new email arrives with an attachment, the system downloads the file and checks if it’s a receipt or invoice. • If it’s something else, we ignore it. 2️⃣ Smart AI Recognition • We process the file using LlamaParse, which allows us to: ✅ Extract tables (common in invoices) ✅ Recognize logos that contain company names ✅ Parse text even from image-based PDFs (which standard N8N nodes can’t handle) 3️⃣ Context-Aware Parsing • Instead of relying on generic AI recognition, we guide the AI with a predefined list of banks and companies the client frequently deals with. • This makes the results far more accurate and stable. 4️⃣ File Renaming & Metadata Tagging • AI extracts key details like date, amount, and entity name based on separate rule sets. • Each parameter is processed separately to increase precision—because main info and entities follow different logic. • Once identified, the file is renamed according to a structured pattern and saved in Google Drive. 5️⃣ Preventing Duplicates • To avoid reprocessing the same document, we add hidden metadata to each file. If a document comes through again, our system detects it and skips processing. 6️⃣ Structured Data Storage • Parsed information is saved in Airtable, where it links to related records—keeping everything structured for future reference.

Hello guys, We’re looking for a highly skilled n8n developer to join an innovative project targeting the untapped Saudi market. With no direct competition, this is a unique opportunity to make a significant impact. Compensation will be a percentage of monthly profits, ensuring a rewarding partnership for your expertise. If you’re ready to bring your skills to an exciting and high-potential project, let’s connect!

⚠️ Link to guide and templates If you’re a freelancer working with AI or automation, you know how crucial PDFs are for many businesses. But extracting data from unstructured PDFs? That’s a pain—until now. With LlamaParse, you can build smarter automation flows that make handling complex PDFs simple, efficient, and highly valuable to your clients. Why You Should Care • Next-Level Parsing: LlamaParse is far superior to the default parse node in N8N, handling even the most complex, unstructured PDF documents. • Client-Ready Automation: Working with invoices, contracts, or reports? This guide will help you create a robust PDF parsing flow that your clients will love—and pay for. • Win More Projects: Offer tailored, scalable solutions that save your clients hours of manual work and position you as the go-to automation expert. What You’ll Learn 1️⃣ How to set up LlamaParse in N8N for powerful PDF parsing. 2️⃣ Extract and structure data from even the messiest PDFs with ease. 3️⃣ Build a complete automation flow to simplify your clients’ processes, including data organization and storage in Airtable. 🎥 Check out the video tutorial for a step-by-step walkthrough and start building smarter solutions for your clients today!