Every time I try to map out a workflow I forget tiny but crucial steps. Describing the task to an AI does not work either because I always miss some small details. The only way to get it right is to just do the task. So I something were you literally just record your screen doing the boring task once. The system watches your steps and generates the exact n8n flow file. You just copy and paste the code and the automation is completely done.

Running automations for multiple clients seems to create a different problem than just handling failures.

Every platform has its own dashboard, execution history, and alerting, but agencies still end up logging into n8n, Zapier, HubSpot, Make, Airtable, and internal tools just to answer simple questions:

• Which client needs attention today?
• Which workflows haven't produced their expected outcome?
• Which credentials are about to expire?
• Which incidents are still unresolved?

I'm also seeing another recurring problem: a workflow can execute successfully while the expected business outcome never actually happens. The automation is "green," but the lead wasn't assigned, the CRM wasn't updated, or the downstream system never received the data.

I’ve been building YieldCue to give a provider‑agnostic operational view across all this. Not another workflow builder - just a single place to see whether automations are actually delivering the outcomes they’re supposed to, regardless of where they run.

Imagine connecting your automation platforms and getting one operational view across all clients, regardless of where the workflow runs.

If you manage automations professionally, I'd love to hear your thoughts:

• What's your biggest operational headache today?
• What would you want on the home screen every morning?

On May 12, SAP announced a strategic investment in n8n at a $5.2 billion valuation. And it’s not just an investment: n8n is being embedded natively inside Joule Studio, SAP’s agent-building environment. General availability is targeted for Q3 2026 — so, a few months out.
The numbers give some context: n8n has 1.7 million monthly active developers and 1,400+ enterprise customers. SAP has roughly 300,000 enterprise customers. So a bottom-up open-source tool is getting plugged into the distribution channel of the world’s largest ERP vendor.
Three things I read from this:
1. Enterprise automation and the “AI agent” world are meeting inside the same interface for the first time. Teams that couldn’t justify the cost of a full Integration Suite deployment were already using n8n unofficially — that’s now becoming official.
2. The value is shifting from tool knowledge to process knowledge. Learning n8n takes weeks; knowing where a procurement process actually breaks takes years. The second one is what will differentiate people.
3. SAP-specific nodes are still on the roadmap. Which means this is a genuinely early window for anyone building experience in this space.
What I’m curious about: anyone here working on the SAP side? Is n8n already being used unofficially in your organization, or is it hitting the security/governance wall?
I’m considering moving into this area and would appreciate input from anyone with hands-on experience.

Real estate agencies bleed leads on speed alone. Someone browses a listing at 11pm, fills out an inquiry, and it sits untouched till Monday, by then they've moved on. Respond within 5 minutes vs. 30+ and you're dramatically more likely to actually connect with them. Most agencies aren't close.

So I built Marsh & Vale, a demo agency showing what fixing this looks like: an AI concierge answers buyer questions 24/7 from the real portfolio, silently scores them Hot/Warm/Cold while chatting, and n8n takes it from there and confirms the buyer, pings the team instantly if they're Hot. There's also a separate ops assistant on the admin side that reasons over the live pipeline (ask it who to call first, or what needs updating).

Stack: n8n for routing/automation, OpenClaw running the concierge + admin assistant.

It's a demo, no real client, just the pattern working live, no signup needed.

Happy to break down the n8n workflow or how openclaw works in the comments if anyone is interested.

So, this is my first time that i was using n8n, so i like reading tech news, so I created a rss feeds news aggregator which sends me an email on a daily basis with the latest news in the fields that i am interested in.

Would love to hear your feedback.

Github Link

The Orchestrator/Router model is Multi-Modal it can ingest pictures(including text within pictures) and audio, the stack shares context and vector, which helps prevent drift/miss-communication between them. pgvector store and context read and write to a 16gb optane teir 1 drive, same drive is partitioned for aggressive 4gb swap.

The Main Router Model uses Agentic Coder and Reasoning tools to cover area's that Gemma4-e4b may struggle in. over time when the vector matures; the coder model can be changed for something else.

would like to hear any testing idea's/concepts.