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r/n8nbusinessautomation

▲ 2 r/n8nbusinessautomation

i need help - should i start an agency?

i’m sanity-checking an idea. this is quite important to me so pls be mindful :)

TL:DR; ex-founder with pursuing a deeply aligned but weird and uncertain career path in neurotechnology, now considering launching another biz excited by the learning opportunity + owning my work which to me is important.

i’m an ex-founder, previously built non-technical service businesses to 6 figures. lately i’ve been pursuing a much narrower path for the last 2 months (even moved to SF just for that): consumer neurotech / human flourishing / science + tech. it feels deeply aligned with me, BUT also quite hard, and very uncertain career path. i’m currently helping an early-stage neurotech startup mostly for equity. exciting, but uncertain.

at the same time, i’m getting pulled toward starting an automation agency for dental clinics.

why dental? my parents have run a dental clinic for 25+ years. so i’d have a first client, deep domain access, honest feedback, and probably warm intros to other clinics. main excitement is: i have never worked for anyone else than myself, and feels weird to give my life for something i don't actually own. so building another business in an exciting area (tech and automations) is attractive.

the idea would be to treat it as a paid 3–6 month experiment: build useful automations for their clinic, learn the tech properly, create a case study, and see if there’s real pull. if it works, maybe grow it for 1–2 years, delegate, or even sell. if not, i still learn automation/healthcare ops.

my worry: this might just be shiny-object syndrome. i’m excited by owning the work and building leverage. i know an agency is not "build cool workflows" but mostly client management and maintenance.

for people who’ve built agencies or sold automation to local businesses: does this sound like a smart unfair advantage, or am i underestimating the boring reality?

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u/DzyPassio — 2 days ago
▲ 1 r/n8nbusinessautomation+1 crossposts

Lender Turnaround Delays Are Silently Bleeding Your Broker Business Dry, Here's the Math

## The Problem

Every week, you're probably spending 3 to 5 hours chasing lenders for updates you should already have. Emails buried in your inbox. Calls that go to voicemail. Deal status you can only guess at. That time gap is not just annoying, it is expensive. Here's the math.

Australian mortgage brokers carry an average trail book of $150M to $250M in settled loans. Trail commission sits at roughly 0.10% to 0.15% per annum. That means your trail income is $150,000 to $375,000 yearly, assuming clients stay on your books through refix cycles. But they do not. Not all of them.

When lenders miss turnaround windows, deals settle late. Refix dates get missed. Clients get frustrated and call around. Some switch brokers. Some go direct to the lender. Each client who walks costs you roughly $2,000 to $4,000 in lifetime trail value, based on a $600,000 average loan size over a 5-year retention window.

## The Solution

Brokers carrying $150M+ in trail books are losing $30,000 to $60,000 annually through avoidable client churn caused largely by lender turnaround delays that go unnoticed until it is too late. The problem is not the lenders. The problem is visibility.

Here is how to fix it in four steps.

Step 1: Map your current state of silence by listing every deal in your pipeline with lender, expected turnaround time, last update received, and current status.

Step 2: Build a Gmail filter system that surfaces what matters by creating folders and auto-labeling for each major lender.

Step 3: Automate weekly digests using n8n to pull lender updates into a consolidated Notion view.

Step 4: Set up a weekly Notion digest that flags deals in yellow or red zones before they become churn risks.

Automation Stack:

n8n,

Gmail filters,

Notion weekly digest

Real Result: Weekly lender research from 4 hours to 20 minutes

Note: AI helped to write this content

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u/KnowTrident — 3 days ago
▲ 1 r/n8nbusinessautomation

Built a production-grade n8n client onboarding system async, parallel AI, full error handling (breakdown inside)

Most onboarding workflows I've seen online break in production.
Timeout errors, duplicate Notion pages, exposed API keys in
raw headers, no retry logic. Built this to fix all of that.

What it does:

Client fills a Tally form → webhook fires → system returns
200 OK instantly (async) so the frontend never times out →
in the background:

- Claude generates welcome email AND contract in parallel
(not sequential, cuts Anthropic latency in half)
- Auto-sanitization validates the email and cleans empty
variables before anything hits Gmail or Notion
- Notion workspace created with idempotency check
(double form submission = no duplicate workspace)
- Welcome email sent to client
- Internal summary sent to you
- Retry logic on API failures so one bad Anthropic response
doesn't kill the whole flow
- All credentials via native n8n auth — no raw API keys
sitting in HTTP headers

Total time from form submit to everything done: ~60 seconds.
Frontend sees an instant response. Zero timeout errors.

Stack:
→ n8n Cloud
→ Tally (free)
→ Anthropic API via native n8n credential
→ Gmail + Notion (free)
→ Cost per run: ~$0.01

Happy to answer questions about the architecture.
Packaged it as a ready-to-import blueprint if anyone
wants to skip the build DM me

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u/Beneficial-Scene7300 — 3 days ago
▲ 0 r/n8nbusinessautomation

I built 40 AI agents to run my entire Instagram strategy for free

I just built an entire Claude Instagram Team…

And I’m giving it away for FREE (40 AGENTS)

Most people use Claude to write captions.

But the real leverage is turning it into your Instagram growth team.

So I built a system with:

• 40 Claude Instagram Agents • Each designed for a specific role

This isn’t basic prompting.

It’s a full Instagram engine covering:

• Content & growth • Engagement • DMs & lead gen • Conversion

Each agent does one job - like a specialist.

So instead of guessing what to do…

You plug into a system that already knows.

If you want access:

1️⃣ Like 2️⃣ Comment “EMPLOYEE” 3️⃣ Make sure we’re connected

I’ll send it over.

🟣 P.S. ♻️ Repost = priority access..

u/Terrible_Freedom427 — 3 days ago
▲ 7 r/n8nbusinessautomation

I ditched spreadsheets and built an AI CFO to manage my money

I stopped budgeting like a caveman. I built an AI CFO instead.

I hated spreadsheets, so I hooked my last 6 months of transactions into Claude Code and built a custom dashboard that does the heavy lifting.

Now?

  1. It flags exactly where I'm overspending.
  2. It optimizes my savings automatically.
  3. The AI advisor tells me exactly what to cut to hit my financial goals faster.

I’m saving $500/mo without the headache of manual apps.

🟣 Comment BUDGET and I’ll send the blueprint to build your AI CFO

u/Terrible_Freedom427 — 3 days ago
▲ 6 r/n8nbusinessautomation

Hiring!

Hi guys, our company Acelera.us is currently under a bottleneck of production , we have gotten to a good point but we need more people like you and we are actively looking to hire. We are looking for individuals that want to make real impact and be part of a structured company based in Miami and London. Let me know if you are interested

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u/orkideamaster — 5 days ago
▲ 363 r/n8nbusinessautomation+5 crossposts

I spent 2 months building a WhatsApp AI sales agent for my family's clothing store. 44 nodes, 2 AI agents, 8 conversation stages. Here's what I actually built.

My family runs a clothing store in Jaipur. Like most small retail shops in India, their entire customer interaction happens on WhatsApp.

Every day, my brother was handling the same messages manually:

  • "Kya available hai?" (What's available?)
  • "Budget 5000 hai, kya dikhao ge?" (Budget 5000, what can you show me?)
  • The same category and budget questions from 20 different people.
  • Customers waiting 30 minutes for a product link, giving up, and going elsewhere.

He was running Instagram to bring leads in. The leads were coming. But there was nothing on the other end to handle them. Just a phone and one person replying to everything.

I'd been learning n8n and building small AI workflows for a while. I thought: this is exactly the problem automation is supposed to solve.

What I didn't expect was how long it would take.

Version 1 was embarrassing. A basic webhook that sent a canned reply. Fine for testing, useless for real customers.

The real problem hit around version 3. A customer sends "hi", the agent greets them, they say they want something, the agent jumps straight to asking for their name and budget. Same customer messages the next day. The agent has no idea who they are.

No memory. No routing. No sense of where a customer is in their journey.

I started over properly.

The final system: 44 nodes, 2 AI agents

Entry layer (before AI even runs):

Every incoming WhatsApp message passes through a filter first:

  • Is this from the store's own number? Ignore.
  • Is it from a group chat? Ignore.
  • Did the customer send "START" or "STOP"? Route separately.
  • Is this number on an exclusion list (Friend/STOP role in Google Sheets)? Block.

Only after all of that does the message go anywhere useful. This alone cut a lot of noise.

The status router (the part that took the most time):

Before any agent runs, the system fetches the customer's current status from Google Sheets. That status is one of:

  • New Lead
  • Follow-up
  • Order Booking
  • Product Not Found
  • Complaint

Status is "Order Booking"? The message goes directly to the Order Booking Agent, skipping the main agent completely. Customer sends exactly "PP" (short for "price please")? Also routes to the Order Agent, but in a price-lookup mode.

Everything else goes to the Main Sales Agent.

Getting this routing right took weeks. The edge cases were brutal. A customer mid-order should not be re-greeted by the main agent. A customer who just confirmed "Haan" (yes) and is waiting for order details should not get the intent detection flow again. It sounds obvious when I say it. It is not obvious when you're building it.

The Main Sales Agent (8 stages):

One AI agent, one long system message, 8 stages of a real sales conversation:

  1. Greeting (once only, never repeated mid-conversation)
  2. Intent Detection (no lead capture until buying intent is clear)
  3. Product Availability (searches Pinecone vector store before answering)
  4. Lead Capture (Name, City, Budget, Category, Occasion)
  5. Product Link Sharing (max 3 links per message, fetched from Google Sheets by Category + Budget)
  6. Order Intent Handoff (the agent sets status to "Order Booking" and stops, never confirms itself)
  7. Price Query (real price pulled from Item Price sheet by Item Code, never assumed)
  8. FAQ + Human Handoff (Pinecone search for policy questions, STOP keyword exits the flow)

Two things the main agent can never do: confirm an order and make up a price. If it doesn't have the price, it says so. Order confirmation only happens in the next agent.

The Order Booking Agent:

A separate dedicated agent. Takes over once the customer is ready to buy.

Collects: Item Code, delivery date, any special preferences. Displays an order summary. Waits for the customer to type "FINAL". Only then does it write the order to the Orders sheet.

It also handles a "PP Mode" where customers jump straight to price inquiry by sending "PP", get the exact price from the sheet, and can then confirm or exit.

The business notification system:

When the main agent says something like "team aapse jald contact karegi" (team will contact you soon), a third agent picks up the output, pulls the full customer record and any order details from Google Sheets, and sends a structured summary directly to the store's WhatsApp number. The owner gets the full picture immediately without hunting for context.

Tech Stack:

  • n8n (self-hosted) for orchestration
  • OpenAI GPT-4o for both agents
  • Pinecone for FAQ vector search
  • Google Sheets as the database (Leads, Orders, Product Catalog, Item Prices)
  • WhatsApp Cloud API for messaging
  • Shared buffer memory window across all three agents

It's been running with real customers for a few weeks. Not flawless. The AI still occasionally asks for something it already has. But the main flow works, and my brother is no longer stuck on WhatsApp for hours every day.

The thing that surprised me most: the AI was not the hard part. Designing the state machine was. Knowing which agent should handle a message, what that customer already told us, and what happens when they switch context mid-conversation is a much harder problem than writing a good system prompt.

If I were starting over, I'd draw the routing logic on paper before touching n8n at all.

Attaching screenshots of the workflow canvas below. Happy to answer questions on specific nodes or decisions.

What would you have done differently?

u/atul_k09 — 7 days ago
▲ 365 r/n8nbusinessautomation+1 crossposts

How we automated document processing to save 50% of time

I sold this AI automation for $10,000.

Want to know how we cut document processing time by 50%?

So I met with an Australian migration visa company. They help businesses hire foreign talent legally. Their process was just brutal.

→ 8 hours per client. Every single day. → Using ChatGPT but hitting walls. → Long chats and constant reprompting. → Manual research and copy-pasting.

Sound familiar?

So we built an n8n workflow that changed everything. A custom GUI for uploads. 6 automated documents.

First, we tried one big agent. That failed. Poor performance. Too many hallucinations.

Then we tried something different. Each section got its own specialist agent. The title page? Dedicated agent. Labor market testing? Another agent. Salary justification? You guessed it.

Quality skyrocketed. Accuracy improved dramatically.

We fed each agent examples of their previous documents. Showed them exactly how to structure things. Tables. Bullet points. The works.

We added tools too. No more manual searching. Agents access Perplexity for deep research. Pull information directly into sections.

The result? 50% time savings. They can process double the documents now. Without hiring more people.

🔥 Here's a pro tip: when building workflows for clients, we focus on the n8n infrastructure. We give them the basic prompts, then they handle the prompt tweaking for their specific needs.

1 limitation: screenshots. Cloudflare blocked some protected sites. We're working on that.

This isn't just for migration companies. Legal documents. Medical underwriting. Insurance forms. Any document-heavy process can benefit.

🟣 First Connect with me, so I can DM you the workflow then, 🟣 Comment "NANOAGENT" to get my nanoagent framework guide

Follow Ritesh Kanjee and Augmented AI to never miss a post.

u/DigitalEyeN-Team — 7 days ago
▲ 8 r/n8nbusinessautomation+1 crossposts

Looking for people interested in collaborating on AI automation projects (n8n + custom workflows)

Hi everyone,

I’m an AI automation developer with around 6 month of experience working with n8n and custom workflows.

I’m looking for someone who is interested in collaborating, building projects together, and growing in this space. Open to learning, sharing ideas, and working on real use cases.

If you’re working with n8n, AI agents, or automation tools, let’s connect!

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u/AdSlight1867 — 6 days ago
▲ 12 r/n8nbusinessautomation

Just cut 4 hours of manual SEO reporting down to 1 minutes. My client stared at the screen and said "that's it?"

System Design SEO REPORTS

Someone showed me their monthly SEO reporting process and I couldn't let it go.

GA4 open, Search Console open, copy numbers into a doc, write a summary around them, format a PDF, send it out. Every month. Per client. Two to four hours of just moving numbers from one screen to another.

So I built a workflow to replace the whole thing.

Worklfow

Here's how it's structured. An OAuth connection pulls traffic, clicks, impressions, top pages, and keyword data from both GA4 and Google Search Console. A pre-computation layer calculates period over period deltas, flags anomalies, and surfaces keyword movement opportunities... then packages everything into structured JSON so the LLM isn't just guessing, it's working from real numbers. That JSON goes to an LLM which writes a 400 to 600 word narrative report grounded in the actual data. Finally it exports a white label PDF with custom branding applied.

Start to finish, under three minutes.

The part I spent the most time on was the pre-computation layer. Sending raw GA4 output straight to an LLM produces garbage. The structured JSON step is what keeps the report grounded and makes the narrative actually useful instead of generic.

Happy to walk through any of the nodes if you have questions, especially the data transformation step before the LLM call.

Github link: n8n-workflows/SEO Reports/Automate Weekly SEO Report with AI Insights.json at main · vk-jr/n8n-workflows

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u/automatexa2b — 6 days ago
▲ 11 r/n8nbusinessautomation

Free automation for beginners

Hi everyone! I am currently building AI-driven automation agents and am looking to partner with a small business on a real-world project.

If you want to automate repetitive tasks, streamline your workflows, or save hours of manual work every week—completely free of charge while I build my portfolio—let’s connect! Drop me a message or comment below if your business could use a boost.

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u/AdSlight1867 — 6 days ago
▲ 3 r/n8nbusinessautomation+3 crossposts

Four ways to wire a reasoning harness into an n8n agent (open source template)

https://preview.redd.it/iv5wvknrew1h1.png?width=1442&format=png&auto=webp&s=9a3f8b71d61ef38c698e09699661e370d5d0edff

Built one n8n workflow with four ways to wire a reasoning harness into an agent. Single chat trigger; prefix selects the branch.

The harness in the example is Ejentum, a reasoning API that returns a structured scaffold per call (failure patterns to avoid, target patterns, amplify/suppress signals) which the agent absorbs into its prompt before answering.

- `/inject /reasoning` (or `/code` `/memory` `/anti-deception`) — locked routing, harness always applied as a system prompt injection. You pick the mode.

- `/reasoning` — single tool, model decides when to call it.

- `/full` — four tools, model decides which to call and when.

- `/ejentum-mcp` — same as `/full` but one MCP Client node instead of four HTTP tools.

The tradeoff axis is how much routing discretion you hand to the model. Determinism on the left, flexibility on the right.

The four wiring patterns are generic. Drop in any HTTP tool or MCP server in the same slot and they still apply.

This workflow beyond the tool usage is an example of harness that activates branches with command like "slash" calls. That makes the workflow modular and ready to modify to its builder use case.
I am not doing self promotion, i am just showing the possibility to consider a middleware of cognitive frameworks that increases performance that may be for u crucial but for the agent less relevant and apply a reasoning structure that demands verification and a clear execution logic to apply. Each reasoning ability the agent receives is a tested self contained cognitive operation that is designed to give procedural steps intead of theatrical content. I appreciate the attention poured into the post, here u can find more links about ejentum project. cheers

the ejentum node is installable inside community nodes as " n8n-nodes-ejentum " :
https://www.npmjs.com/package/n8n-nodes-ejentum

Template + README:

https://github.com/ejentum/agent-teams/tree/main/n8n-harness-integration-patterns
ejentum.com
github.com/ejentum

Free tier on the API is 100 calls, no card.

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u/frank_brsrk — 5 days ago
▲ 17 r/n8nbusinessautomation

I built 30 Claude agents to run my YouTube channel (giving them away)

I just built an entire Claude YouTube Team…

And I’m giving it away for FREE (30 AGENTS)

Most people use Claude to write video titles.

But the real leverage is turning it into your YouTube growth team.

So I built a system with:

• 30 Claude YouTube Agents • Each designed for a specific role

This isn’t basic prompting.

It’s a full YouTube engine covering:

• Strategy & research • Scriptwriting & hooks • Thumbnail & SEO • Engagement & growth

Each agent does one job - like a specialist.

So instead of guessing what to do…

You plug into a system that already knows.

If you want access:

1️⃣ Like 2️⃣ Comment “YOUTUBE” 3️⃣ Make sure we’re connected

I’ll send it over.

🟣 P.S. ♻️ Repost = priority access..

u/Terrible_Freedom427 — 8 days ago
▲ 14 r/n8nbusinessautomation+4 crossposts

N8N Beginner

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?

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u/Relative_Capital_610 — 9 days ago
▲ 2 r/n8nbusinessautomation

Just wanted to know if anyone is making any real money using automating content creation

I saw lot of post claiming i am this much and that much using AI flow if you want to do same take my course and long list begins

So i genuinely want to understand if any of you took any course did it helped and generated any revenue for you or not

If did for free or paid plz mention the course

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u/Technical-Cicada-581 — 7 days ago
▲ 0 r/n8nbusinessautomation

I automated my entire YouTube growth team (30 agents) - giving it away free

I finally automated my entire YouTube growth team…

And I’m giving the whole setup away for FREE. (30 AGENTS)

Most people just ask Claude for video titles.

But the real leverage is turning it into an automated growth engine.

I built a system containing:

• 30 specialized YouTube Agents Skills for Claude Code & OpenClaw🦞 • Each trained for a specific role

This isn’t basic prompting.

It’s a complete YouTube engine covering:

• Strategy & research • Scriptwriting & high-retention hooks • CTR-focused thumbnails & SEO • Engagement & channel growth

Each agent operates like a specialist.

So instead of guessing what to do next…

You plug into a system that already knows what works.

If you want access:

1️⃣ Like 2️⃣ Comment “YOUTUBE” 3️⃣ Make sure we’re connected

I’ll send it over.

🟣 P.S. ♻️ Repost = priority access..

u/Terrible_Freedom427 — 7 days ago
▲ 0 r/n8nbusinessautomation

I built 50 AI agents to automate LinkedIn growth (giving them away)

I just built an entire Claude LinkedIn Team…

And I’m giving it away for FREE (50 AGENTS)

Most people use Claude to write posts.

But the real leverage is turning it into your LinkedIn growth team.

So I built a system with:

• 50 Claude LinkedIn Agents • Each designed for a specific role

This isn’t basic prompting.

It’s a full LinkedIn engine covering:

• Content & growth • Engagement • DMs & lead gen • Conversion

Each agent does one job - like a specialist.

So instead of guessing what to do…

You plug into a system that already knows.

If you want access:

1️⃣ Like 2️⃣ Comment “EMPLOYEE” 3️⃣ Make sure we’re connected

I’ll send it over.

🟣 P.S. ♻️ Repost = priority access..

u/Terrible_Freedom427 — 9 days ago
▲ 68 r/n8nbusinessautomation

I never run out of content to post anymore.

I never run out of content to post anymore.

Built an automation that monitors 50+ news sources, scores articles for relevance, and writes social posts automatically.

It finds trending topics in my niche before they explode everywhere else.

We have both the n8n workflow and OpenClaw skill🦞

Saves me 15-20 hours monthly and keeps me ahead of every trend.

🟣 Comment CONTENT and I'll send you the link to the automation.

u/Terrible_Freedom427 — 12 days ago
▲ 7 r/n8nbusinessautomation

I automated LinkedIn posts but keep losing impressions, need help

The workflow starts with taking a question and answer pair from a ready made excel sheet, gemini prepares the relevant hashtags, another gemini node writes the full LinkedIn post with a certain format and then is posted on LinkedIn and updated in the excel sheet, week 1 each post had 1k impressions, its week 4 now and no post crosses 500 even after a week, please suggest changes

u/vamanos_pest23 — 8 days ago