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I build custom QA tools for small SaaS startups who do not have dedicated QA teams but need to make sure that faulty data is not found by clients after it's live in Production.
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Wattbank explores a clearer SaaS dashboard experience for energy community operators. The interface brings key metrics, energy balancing, participant distribution, billing, reporting, and insights into one workspace that is easy to scan and act on.
The goal was to move away from heavy energy software and create something more visual, human, and operationally useful.
Lost 2 days building a complex n8n workflow. Here's what I learned.✌️
The project: A 12-node AI Receptionist automation for a luxury resort in Bangladesh. Multi-channel (WhatsApp, Telegram, Voice), 9 Google Sheets, Gemini API, payment automation, customer CRM.
What went wrong: Added a new voice integration node. Accidentally deleted the entire workflow.
Why it happened:
No JSON exports after milestones
No version control (Git)
Testing changes LIVE on production workflow
No documentation
Building locally with zero redundancy
The fix (now implemented):
✅ JSON backups after every 2-3 nodes
✅ GitHub versioning
✅ Clone workflows for testing
✅ Modular design
✅ Complete documentation
For automation professionals: You're not just builders—you're engineers.
Treat workflows like software:
Documentation
Version control
Backup strategy
Modular testing
Client delays = lost revenue + credibility damage.
Make the systems bulletproof.
How do you prevent data loss in your automation builds? 👇
#n8n #Automation #WorkflowAutomation #NoCode #LessonsLearned #make #AIAutomation #DataAnalyst #MachineLearning
I'd try restoring one of those JSON backups into a cloned workflow before the next handoff. That way you know it can actually get you running again.
Recently I completed a very interesting - Quantile, an AI backed Business Analytics Software. Chat with your data - and build dashboards through code. Check it out!
quantile is a fun name. chat to dashboards is a cool idea
