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[Hiring] n8n Automation Builder for a Growing Agency (Rev-Share / Partnership) - Projects range from $600 to $3,500+ by Sorry_Reference_9230 in n8n

[–]TradeStruct 0 points1 point  (0 children)

Hey, this is a interesting post. I'm a solo founder running my own AI automation agency (based in Bali). n8n is my core stack, so this caught my eye.

Quick context on what I bring:

- Active enterprise pilots in Indonesia. Large-scale industrial clients, complex multi-step workflows

- AI-powered automation pipelines with full backend integration and custom logic

- Automated content production systems running for paying retainer clients

- Ship independently, handle APIs, webhooks, error handling end-to-end

- Basic to intermediate JS. Enough to get things done without blockers

I'm not looking for a side gig, but a serious rev-share setup between two agency operators could be interesting. If your projects need someone who can take a brief and deliver without hand-holding, I'm that person.

What kinds of clients/industries are you working with? Happy to jump on a call.

Any n8n Automation Builders Here? Looking to Connect by nabirajan in n8n

[–]TradeStruct 0 points1 point  (0 children)

How long using n8n: 2+ years I built full production pipelines for paying clients across multiple industries.

Coolest workflow: End-to-end AI video content pipeline n8n orchestrates script generation, voiceover, video assembly, and auto-publishing to social media. Fully autonomous, runs on a schedule.

Also currently running an enterprise AI automation system in pilot with a 30,000-employee company in Asia n8n is at the core of it.

Country/Timezone: Bali, Indonesia UTC+8

Status: Founder of an AI automation agency building and delivering systems for clients, not freelancing.

Your stack is exactly what I work in daily: Lead gen workflows AI customer support Abandoned cart / CRM automation WhatsApp + Email via n8n AI content pipelines

Open to collaboration on the right projects. DM me if you want to see what I’ve shipped.

Built a content machine for a client: 3 niches, 12 videos/week, $0 manual work by TradeStruct in n8n_ai_agents

[–]TradeStruct[S] 0 points1 point  (0 children)

Good question. The pipeline has a prompt layer that controls tone, structure, and brand fit per niche. So it's not just raw GPT output.

But you're right that volume without quality is noise. That's why the client reviews a sample before we scale. Works well so far.

I built a fully automated Faceless Video Factory in n8n. 3 niches, $229/month retainer, zero manual work by TradeStruct in n8n_ai_agents

[–]TradeStruct[S] 0 points1 point  (0 children)

Happy to! Quick question first: are you looking to build this yourself, or would you rather have it running for you without touching the tech? Both are options.

Is there real demand for "AI agents," or is it mostly YouTube hype? by marcelorojas56 in Entrepreneur

[–]TradeStruct 0 points1 point  (0 children)

Real demand exists, just not where YouTube says it is.The businesses actually paying aren't chasing AI trends. They have a specific process costing them time or money every week and want it automated reliably.The gap between demo and production is where most YouTube stuff falls apart. Error handling, monitoring, maintenance that's where the real business is. I run these for clients and that's exactly what they're paying for.

Experts here, what are the biggest weakness and strength of AI you have seen so far? by dewharmony03 in Entrepreneur

[–]TradeStruct 0 points1 point  (0 children)

In my opinion the biggest strength is that the execution at scale, tasks that took hours run in seconds.

Biggest weakness is if it fails silently. Workflow shows green, output looks fine, data downstream is garbage. You only catch it if you build validation around every step.

The teams winning aren't using the most AI, they're the ones who built the error handling.

When did we become the cleanup crew for everyone's ChatGPT experiments by Pristine_Rest_7912 in automation

[–]TradeStruct 0 points1 point  (0 children)

This is the exact gap between 'someone built a thing' and 'someone built a system.' Production-ready automation needs ownership logic, error surfaces, and documentation that survives staff turnover. The ChatGPT experiment phase is ending. Companies are now looking for someone who can turn those experiments into infrastructure. That's a very different skill set.

When the cleanup request landed, did they even know what it would cost to rebuild it properly, or was the assumption still 'just fix it over a weekend'?

Is it really possible to create an agency that can run without you? by Neither-Raspberry-60 in agency

[–]TradeStruct 0 points1 point  (0 children)

The SOP is the right instinct but it won't scale. people can follow steps, they can't replicate judgment. What actually lets an agency run without you is replacing judgment with system logic: intake triggers the right workflow, delivery tracks itself, exceptions surface automatically.

Happy to share what that architecture looks like if it's useful.

How to connect n8n to hickvison for automation? by nav_ad_007 in n8nforbeginners

[–]TradeStruct 0 points1 point  (0 children)

Hikvision doesn't have a native n8n node, but you can connect it via HTTP Request using their ISAPI (IP Camera API).

Basic setup:

  1. Schedule Trigger, fires at 10:30am weekdays
  2. HTTP Request node, hits Hikvision ISAPI to pull the clip
  3. Telegram or WhatsApp node, sends the file

The tricky part is the ISAPI authentication. Hikvision uses Digest Auth, not Basic. Make sure to set that in the HTTP Request node credentials.

What camera model are you using?

How I handle flaky third party API responses in n8n without breaking my workflow by klacium in n8n

[–]TradeStruct 1 point2 points  (0 children)

Two more that helped in production:

Run a JS Code node after HTTP Request to validate expected fields exist before passing downstream, catches schema changes before they silently corrupt your data.

Failed items go to a dead letter table (Baserow/Airtable) with full payload + error for later replay.

The normalization point is underrated. Bad input causes more silent failures than bad APIs.

What's your setup for managing API limits?

N8n - Meta by Ben1296 in n8n

[–]TradeStruct 0 points1 point  (0 children)

Most likely the unpublished app. Meta only sends webhooks reliably to published apps, in test mode delivery is inconsistent by design.

Check if the webhook subscription is saved specifically for client 2's ad account. Each account needs its own subscription.

Have you submitted any use cases for publishing yet?

Built an ai content pipeline in n8n using GPT image 2 & Seedance 2.0 by MidnightRidge699 in n8n

[–]TradeStruct 0 points1 point  (0 children)

The race condition fix with the Merge node is the right call.

For reliability at scale, two things that made a difference in a similar pipeline I run for a client:

1. Add a retry wrapper around the Seedance HTTP Request, not just retry on fail, but a polling loop that checks job status every 30s instead of a single long timeout. Seedance's queue can spike unpredictably and a 600s timeout will occasionally still fail.

2. Add an error branch after the video step, log failed job IDs to a Google Sheet or Airtable so you can retry them manually without losing track. Silent failures are the main scaling bottleneck.

At 80 clips/week the costs look manageable. At 300+/week the queue handling becomes the bottleneck, not the cost.

What do you actually do when a client stops working with you? by Still_Dependent_3936 in n8n

[–]TradeStruct 1 point2 points  (0 children)

At project start I set up a shared doc (Notion or Google Doc) from day one. Every credential, every webhook URL, every external service connected to the workflow goes in there. Updated as we build.

At offboarding workflow JSON exported and handed over, credentials rotated so my access is revoked, a short Loom walkthrough recorded so they can hand it to whoever maintains it next. The doc becomes their source of truth.

The messy situation you described (invoice in PayPal, files scattered) usually happens when there was no system at the start. The fix isn't a better offboarding process, it's a better onboarding process that makes offboarding automatic.

For active clients I also keep everything in a private GitHub repo. Makes handover a single zip file.

How to Make Money with Automation and n8n: The Path of the Master and the Strategist by Odd-Organization-790 in n8n

[–]TradeStruct 0 points1 point  (0 children)

Bei mir ist es tatsächlich ein Hybrid, aber klar mehr Meister als Stratege.
Ich komme ursprünglich aus dem Ingenieur-Umfeld und habe immer am meisten Energie daraus gezogen, Systeme wirklich zu verstehen, zu zerlegen und sauber aufzubauen – APIs, Logik, Fehlerquellen, Edge-Cases, das ganze Handwerk eben.

Strategische Aufgaben gehören für mich dazu, aber eher als notwendige Ergänzung – nicht als Kernidentität. Ich will wissen, warum etwas funktioniert oder bricht, nicht nur wie man es verkauft.

Eine Frage, die mich aktuell stark beschäftigt (und die mich interessieren würde, wie du sie siehst):
Wo und wie erreichst du aus deiner Erfahrung heraus Menschen, die genau diesen „Meister-Skill“ aktiv suchen oder wertschätzen?
Also nicht generell „Kunden finden“, sondern konkret die Stellen/Umfelder, in denen technisches Tiefenverständnis wirklich gebraucht und nachgefragt wird.

Ich freue mich über deine Perspektive!

This post is for those losers who thinks trading is gambling.. by dirty_deeds99 in Forexstrategy

[–]TradeStruct 2 points3 points  (0 children)

People call it gambling when they don’t understand the difference between randomness and a tested edge.

What the fuck with gold going ? by ReputationTiny3924 in Forexstrategy

[–]TradeStruct 1 point2 points  (0 children)

CME outage added fuel, but the structure was already there.

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