The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
I help SaaS startups automate customer support, onboarding, and internal workflows using AI agents.
I build AI chatbots and custom AI agents trained on your product documentation so users get instant answers, support teams save time, and businesses capture more leads.
What I build:
• AI support chatbots for SaaS
• Custom AI agents inside apps & dashboards
• AI-powered lead generation assistants
• Automation workflows using APIs and LLMs
Tech stack:
OpenAI APIs • AI Agents • FastAPI • Node.js • SaaS integrations
If you're building a SaaS product and want to automate support or user workflows with AI, feel free to reach out.
Curious how other SaaS founders are approaching AI agents for support and onboarding lately.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
Energy communities need to manage a lot at once: consumption, generation, members, billing, reports, alerts, and operational changes.
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.
AI Agent Developer | Smart Lead Response & Business Automation
