I recently started automation and jumped directly to n&n and made some automations with some help of claude. but now i am very confused what NEXT??
Please help me if anyone in same path as me.
Please share your experience if u can.
Do let me know if you guys need any specific niche focused ones
Hello Good day everyone I'm planning to tackle and learn N8N automation I've heard and research its more technical. I've already made projects from Make(Integromat) and Zappier.
Now I have 2 questions
First is: I'm planning to subscribe to Claude Pro and is there any tips or Idea to to leverage Claude pro aside from using Claude Code to automatically create workflow from me.
Second: Should I subscribe to N8n directly or use Hostinger to self host? Is there any difference from the two?
Every week a founder books a sales call with me asking for an AI agent. Every week I end up telling most of them they don't need one.
I build automations and AI agents for founders. Forty-something projects in. The pattern is so consistent now I can predict the call before it starts.
They come in wanting magic. They saw a Loom video of someone's "autonomous sales agent" closing deals while they sleep. They read the LinkedIn post about the "AI employee" running an entire ops team. They've already told their board they're building one. Then we get on Zoom and within fifteen minutes I'm explaining why the thing they actually need is an internal automation with one LLM call in the middle.
You can watch their face fall in real time.
Here's what's happening in the market right now. Most of the "AI agents" shipping to real businesses are just internal automations with a language model bolted in. That's the whole product. The agent label is mostly there because automations don't trend on Twitter.
And the automations work. They save real money. They print real ROI. But the founders paying $30k for an "agent" don't love hearing they could have gotten 90% of the value from a $4k automation build.
Three quick examples from the last six months.
Telehealth founder. Wanted "an autonomous AI receptionist that handles everything." After an hour on a call I told her she needed a workflow that reads intake forms and routes them to the right clinician. We shipped it in six weeks. Saves her clinicians four hours a day. She paid me again last month.
Fintech client. Wanted a "fully agentic finance copilot." What they needed was a script that reconciles ACH discrepancies before they hit the dispute queue. One model call, the rest plain code. Saved them a full ops hire.
Medspa chain. Wanted "AI marketing automation." What they needed was a job that watches their booking system for no-show patterns and triggers a personal recovery message. Three steps. No agent. Booked 14% more revenue last quarter.
None of these are agents. They're automations. And every one of them outperforms the agent the founder originally asked for, because the agent would have hallucinated something stupid in week three and burned the client's trust forever.
Why agents keep failing in production
They're given too many decisions to make. A good automation has one decision per step and a clear rule for what happens at each branch. An agent gets handed a goal and told to figure it out. Beautiful in a demo. Catastrophic in your customer support queue at 2am.
The teams in your competitor's office quietly crushing it with AI right now? They're running boring automations. "We wrote a Python script with an LLM call" doesn't make the trade press, so you don't see it.
The vibe-coded prototypes from Bolt and Lovable and Cursor that landed in the last 18 months are mostly being torn out right now. Half my pipeline is founders who paid $50k for a "next-gen AI agent" build that's bleeding tokens, can't be audited, and falls over the moment a customer does something unexpected. I rebuild them as straightforward automations and they suddenly start making money.
In regulated SaaS, agents are doubly cursed. HIPAA and SOC 2 reviewers want to know exactly what your system does, in what order, every time. An automation passes that conversation in 20 minutes. An agent turns it into a six-month nightmare.
How to actually decide
If you're a founder about to spend money on an agent, answer these on paper first:
If you're a builder selling agents, you'll make more money in the next 12 months selling honest automations than chasing the agent narrative. The market is wising up. Founders who got burned in the first wave are warning the next wave. Be the person who ships a clean automation in six weeks that works on a Tuesday and is still working on Thursday.
Builders, founders, anyone in the trenches. What's actually working for you? What's breaking? Curious to hear from real operators.
I want to build n8n automation to extract emails / linkedin id / phone numbers for marketing and lead generation where scrapping being the primary problem. I have LinkedIn premium too.
How can I exploit n8n. Any ideas?
Hey everyone,
I’ve been working with n8n, AI agents, and automation workflows for the past few weeks and currently building small real-world projects to improve my skills.
I’m looking for someone who’s interested in:
Building AI automation projects together
Experimenting with AI agents & APIs
Sharing ideas and learning together
Growing long-term in this space
I’m focused on practical workflows, integrations, and custom automations using tools like n8n and OpenAI APIs.
If you’re serious about AI automation and want to collaborate, feel free to connect 🚀
I do a lot of high traffic automation work in n8n and for a while I was just hand-rolling validators for every workflow that touched an external API. It was fine at first. Then I had like 8 workflows and it became this whole thing where half my time was maintaining validation logic instead of actually building.
The annoying part is it was the same problem every time, then I had to debug all over again. Either the data coming in is slightly wrong, then the API call fires anyway then something breaks. Wrong type here, missing field there, nothing throws an error, you just find out later that something did something dumb.
So I built this validator that just handles it automatically, with some special business logic. It watches your outgoing calls, learns what normal payloads look like on its own, and then either fixes what it can or blocks what it can't before anything gets called. No schemas to write, no manifests, nothing to maintain.
I've been running it on my own stuff and it's caught things I genuinely didn't know were slipping through. Ive been building AI agents for property managers and recently an anti-spam AI, which i could talk more about.
Nevertheless, i put a free tier on it that handles 3 webhooks, I’ll probably add more when I put authentication on it so it’s not abused. I thought about putting AI on it and selling it but I’m pretty busy so I figured I can at least help some folks until I do.
Would love feedback especially from anyone else doing serious volume in n8n or similar. And if something's broken or the onboarding is confusing, please tell me.
Link in comments.
