AI Chatbot Application
AI-powered chatbot with real-time streaming responses, conversation memory, and n8n automation workflows.
What needed solving
The client's support team was handling 800+ repetitive queries per day. Response times were slow, quality was inconsistent, and scaling the team wasn't viable. They needed an AI solution that felt natural, stayed on-brand, and handed off to humans when needed.
How I solved it
I built a streaming AI chatbot integrated directly into their existing web platform. Custom system prompts trained on their product knowledge base. Conversation memory across sessions. Automated workflows in n8n trigger follow-up emails and CRM updates based on chat outcomes.
A look at the product
Key Features
- Real-time streaming responses via OpenAI API
- Persistent conversation memory across sessions
- Custom system prompt tuned to brand tone and product knowledge
- Human handoff trigger when confidence is low
- n8n automation for post-chat CRM updates and follow-up emails
- Admin dashboard to review conversations and tune prompts
Architecture
- 01Next.js frontend with streaming UI using ReadableStream
- 02Node.js backend managing prompt construction and token budgets
- 03OpenAI GPT-4o with function calling for structured outputs
- 04Redis for session-based conversation memory
- 05n8n self-hosted for post-chat workflow automation
- 06Webhook integration with HubSpot CRM
Results & Outcomes
Automated 70% of incoming support queries on day one
Average response time dropped from 4 hours to under 3 seconds
Support team refocused on complex cases — morale improved significantly
Client reported 30% reduction in monthly support costs
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