AI is changing the dev game. With AI coding tools, one developer can suddenly move 5–10x faster. But the mindset matters: some devs resist, others embrace. Those who embrace → become “AI-native” devs, who feel more like product builders than coders. If you were hiring today, would you pick 3 traditional devs, or 1 AI-native dev?

You spend hours opening, scanning, replying, and logging emails—while important ones slip through. So I built an Email Reply Agent with n8n: Schedule Trigger → Runs every 10 mins, scans inbox. Gmail (get mails) → Fetches unread messages. Gmail (details) → Extracts sender, subject & body. AI Agent (Google Gemini) → Summarizes the email, detects urgency, and drafts a reply. Create Record (Airtable/Sheets) → Logs summary + AI reply for tracking. Mark as Read → Flags processed emails. Create Draft (Gmail) → Auto-creates professional reply drafts (or auto-sends if safe). ⚡ Outcome:Inbox → Sorted. Replies → Ready. Emails → Tracked No more chaos, just clean workflows.

- Quick update: regarding the docker compose file, please ensure in the below line you keep the "." before n8n at the end. This will ensure you maintain saved files, workflows ect. I have updated the file attached and the google drive file - volumes: -       - ~/n8n-data:/home/node/.n8n Hey all, after having a few people reach out and I thought it may be beneficial to share exactly how I have set up my local N8N instance on my Raspberry PI through Docker. I have found this a really reliable way and have even gone the next step to run this through a custom domain on cloudflare to have a custom URL (I plan to make another video on this in the near future!). Here is the link to the step-by-step video I have made and the supporting docs with everything you need to get started. Hopefully you find this helpful. Sorry for the shameless plug but if you do find it helps, any support on the video and my channel would mean a lot! Couple of quick notes: - As a friendly FYI if you are going to send the docker-compose file directly to your Raspberry PI, remember to edit the file name once it's on your Raspberry PI to remove the .txt from the file name - Don't judge the video quality too harshly, I don't have the mic skills like @Nate Herk! - Also probably need to find a prize to give to whoever can correctly count the number of "ums" I say throughout ah😄 Hope it helps!

Do this to get more clients 👇 Want to know the strongest weapon in your marketing arsenal? It’s not a flashy offer, fancy VSL, or firm promise. It’s the most recent result you delivered for a client. That’s it. What changed when they worked with you? How much new revenue did they unlock? How much time did they save? Once you’ve got these answers… Run it and run it hard: • Publish a case study post on LinkedIn. • Add it to your landing page. • Apply it to your outreach. • Anchor it to your pitch. (hell, chuck it in your Tinder bio while you’re at it) Because if you’re dealing with prospects that are skeptical or hesitant of your AI service, here’s why: While you’re busy talking about their problem, dream outcome, roadmaps, demos, etc… They’re sitting there thinking only ONE thing → “has this worked for someone like me?” And if you can’t address that question, they’ll only keep hitting you with: “I’ll think about it” aka “no” Happy clients give you credibility. And credibility will get you more leads than being clever ever will. Prospects will doubt your AI service. But they can’t doubt your results. When you shift their thinking from: “Has this worked for someone like me?” → “It worked for them, so why wouldn’t it work for me?” Is the moment you close them. __ Got a question? Drop it down below, I'll stick around for an hour or so to answer. I help AI Founders get more leads and clients. Follow me on LinkedIn for more content like this. Dan 🤝

n8n just released a brand-new feature: native data tables. This makes it possible to store and manage data directly inside your n8n environment without needing an external database or constant API calls. In this video, I walk you through how these tables work, how to set them up, and how you can connect them to your workflows or AI agents in just a few clicks. I also cover the pros and cons, and when you might still want to use a traditional database instead. If you’re building quick proof of concepts, demos, or just want a simple way to manage data without latency or rate limit issues, this feature is a game-changer. The google sheets templates: Contacts Sales Test