Hey, i just completed n8n Nate Herk's course, can someone guide what should i build now , where should i start from.

A few months ago I was spending 3-4 hours a day manually researching leads, writing personalised emails, and following up. Classic agency grind. Then I built a fully automated cold email workflow in n8n that handles the entire process — from lead research to personalised copy to sending — without me touching it. Here's the exact flow: Step 1 — Lead inputI feed a list of business names + URLs into a Google Sheet. n8n watches the sheet and picks up new rows automatically. Step 2 — AI enrichmentFor each lead, n8n scrapes the company website and pulls key info: what they do, recent blog posts, any pain points mentioned. This context goes to GPT-4o. Step 3 — Personalised email generationGPT-4o writes a custom opening line referencing something specific about that company — not generic "I loved your website" stuff. Real specifics. Then it slots that into a proven email framework. Step 4 — Send + trackThe email goes out via SMTP (or whatever sending tool you use). Lead status in the sheet updates automatically to "Sent." Step 5 — Follow-up sequenceIf no reply after 3 days, a follow-up gets triggered automatically. Different angle, shorter copy. Works like a drip. The result? I went from spending ~4 hours/day on outreach to about 15 minutes reviewing what went out. Reply rates actually went UP because the personalisation improved. The whole thing runs on n8n (self-hosted or cloud), costs almost nothing to operate, and took me about a weekend to build the first version. If you're running an AI agency or selling any kind of B2B service, this is probably the highest-ROI automation you can build right now. Drop a comment below if you want me to break down any specific step in more detail — happy to go deeper on the AI prompt structure or the follow-up logic 👇

I’m 19, not some hardcore telecom engineer, and I just built a fully custom low-latency AI voice receptionist for a client that’s nearly 90x cheaper than relying on expensive voice AI wrappers like Vapi. Honestly… did we just expose how overpriced some of these platforms are? The stack:• LiveKit• Deepgram Nova-3• Gemini 2.5 Flash• Cartesia Sonic-2• Modal• n8n• Vobiz SIP telephony This wasn’t just another AI chatbot. The system:• answers real phone calls• handles multilingual conversations• interrupts naturally• captures leads automatically• extracts emails from noisy calls• triggers backend automations• runs with extremely low latency One of the funniest problems:The AI once heard:“[email protected]” as:“[email protected]” Ended up building custom spoken-email normalization logic just to make email capture reliable over phone calls. And honestly, n8n was one of the smartest decisions in the stack. Because voice AI systems don’t stop at conversations.You eventually need:• CRM integrations• lead routing• webhooks• follow-ups• notifications• scalable workflows Feels like we’re entering a phase where more builders realize they can create custom voice AI infrastructure with better control, lower latency, and dramatically lower costs instead of depending entirely on expensive plug-and-play platforms. Curious:Do you think custom voice AI stacks will eventually replace most voice AI SaaS platforms?

I am new to both Claude and N8N. I am looking to build my own ai software. What are your current uses and which is better for what usage?

From €17K agentic systems and $35K builds to AI leadership roles, first workflows, and launched products - this week inside AIS+ showed what happens when consistent reps finally start compounding. 🚀 Standout Wins of the Week inside AIS+ 👉 Malek Kilani closed his first €17K agentic AI build for a sales coaching company using enterprise presales experience as the unfair advantage. 👉 @Michael Elliott shipped a $35K certification platform with 100+ API endpoints, Stripe integrations, AWS infrastructure, and recurring monthly revenue attached. 👉 @Ailin Werner landed a Head of AI role after 8 months out of work by building publicly, sharing demos, and consistently showing her work online. 👉 Ismail Islam officially launched TradePulse — a full AI-powered trading intelligence platform combining dashboards, Telegram automation, and economic analysis workflows. 👉 @Cagri Sarigoz launched HeyNews on Product Hunt after 12 months of iteration and more than 600 AI-assisted newsletter issues. ⸻ 🎥 Super Win Spotlight | @Ailin Werner Ailin’s LinkedIn Ailin joined AIS+ after losing her job and deciding to fully commit to AI automation. At first, she was learning step-by-step through ChatGPT, debugging workflows manually, and spending countless hours figuring things out alone. Then she joined AIS+ planning to stay for just one month. That quickly changed.