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AI Chatbot Interface — NovaMind Assistant
Full AI chatbot interface with conversation history, code syntax highlighting, data tables, typing indicator, dark mode, model selector and token counter.
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Related posts
AI-Powered Outreach Automation (n8n)
Built a workflow that turns outreach into a structured pipeline.
The system:
• Pulls verified leads from Supabase
• Uses AI to generate personalized emails
• Sends outreach via Gmail
• Monitors replies and analyzes sentiment
• Routes responses automatically (book meeting, review, or archive)
• Sends follow-ups if there’s no reply after 48 hours
Result: a fully automated pipeline that moves leads → conversations → booked meetings.
Designed for creators, agencies, and teams running outbound outreach at scale.
Nice workflow. Using AI to personalize outreach and track replies in one pipeline is really useful.
Just completed another MVP UI for a banking app, let me know what you guys think about it.
Looks clean. I like the balance card and the weekly spending chart — the UI feels really smooth for a banking app.
Built an AI-powered triage bot (WeSki Bot) for a ski travel company using n8n, Slack, HubSpot, Jira, and GPT-4.
Agents trigger the bot in Slack with a booking ID. It verifies trip details in HubSpot in real-time, then walks through a structured triage flow via threaded replies: collecting issue description, urgency, OPS needs, actions taken, and refund details.
GPT-4 processes inputs and auto-creates a Jira ticket with booking details, triage notes, SLAs, and refund amounts. A Slack notification posts with links to the Jira ticket and HubSpot deal.
Results:
✅ 60% faster response times
✅ Zero manual data entry
✅ 100% lead capture
✅ 24/7 automated triage
Tech: n8n, Slack, HubSpot, Jira, GPT-4, Google Sheets
really nicee work
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