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You probably don’t need more employees.
You need fewer manual tasks.
A lot of businesses still waste hours every week on things that can be automated:
• Copying leads into spreadsheets
• Updating CRM records
• Sending the same follow-up emails
• Checking forms manually
• Moving data between tools
• Sending internal notifications
• Qualifying leads one by one
That’s exactly what I automate.
I build n8n automation systems that connect your business tools and turn repetitive processes into reliable workflows.
For example:
New Lead → n8n → CRM / Google Sheets → AI Qualification → Personalized Follow-up → Team Notification
No copy-paste.
No missed leads.
No repetitive admin work.
I work with:
n8n • Make • APIs • Webhooks • CRM • Google Sheets • AI integrations • Email automation
The goal is simple:
Save time. Respond faster. Reduce manual work. Build systems that scale.
If there’s a task in your business that you repeat every day, there’s a good chance it can be automated.
Send me your current workflow and I’ll show you how I’d automate it.
⚡ My n8n Automation Service:
https://contra.com/s/bbeRbPrZ-i-will-build-an-n8n-automation-workflow-for-your-business
#n8n #WorkflowAutomation #AIAutomation #BusinessAutomation #APIAutomation #CRM #NoCode #AutomationEngineer
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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AI Assistant Using Your Business Knowledge Base — RAG on Your Documents
THE PROBLEM
Q&A bots break down when knowledge lives in documents: a 100-page manual has no "questions" to match, it can't fit into a prompt, and generic chatbots hallucinate instead of admitting what they don't know.
THE SOLUTION
A RAG (Retrieval-Augmented Generation) knowledge base: documents are split into meaningful chunks, embedded into a vector index, and the assistant answers from the right sections — by meaning, not keywords.
Any format as-is: PDF, DOCX, TXT, Markdown — 100+ pages is fine
Answers grounded in YOUR documents — it says "I don't have that information" rather than inventing
Source references — every answer shows which document and section it came from
Runs on your infrastructure — documents never leave your control
One command to re-index after updating documents — documented, no programmer needed
LIVE DEMO
Ask it about my products, pricing, deployment and support — it answers from 6 real documents with sources:
https://kb-assistant-demo.dvc-ai.workers.dev
The 'I don't have that information' line is the part most RAG builds skip, and it's the one that matters. How do you set the cutoff? On mine, a fixed similarity threshold broke once I filtered results by user role. Scores shifted and it refused questions it could answer.
Obviously automated
Automated a manual Google Sheets → Slack workflow to eliminate repetitive data entry and give the team instant notifications.
Previously, new data had to be manually checked, processed, and shared across the team — slow and easy to miss. I built a Make.com scenario that:
Watches Google Sheets for new/updated rows
Processes and routes the data through a router based on conditions
Creates corresponding Trello cards for task tracking
Logs processed records back to Google Sheets
Sends real-time Slack notifications so the team is instantly updated
Result: What used to be manual checking and updating is now fully automated — saving hours weekly and removing room for human error.
Tools: Make.com, Google Sheets, Trello, Slack
wow love this