Inspiration

I wanted to help businesses respond to customers instantly 24/7 from repetitive task, without keeping someone online all the time. Many businesses lose customers because of delayed responses.

What it does

The AI agent answers customer inquiries instantly, provides business information, captures qualified leads, remembers conversation context using Simple Memory, and hands customers over to a human agent when necessary

How I built it

I built the workflow using n8n, integrated the Google Gemini API as the AI model, used Simple Memory to maintain conversation history, and added business knowledge so the agent gives accurate responses.

Challenges I ran into

The biggest challenge was writing prompts that produced consistent and accurate answers while keeping the AI focused on the business information. Testing and refining the workflow took several iterations.

Accomplishments that I'm proud of

I'm proud that I successfully built a Live working 24/7 AI customer service agent that can answer questions, capture leads, and automate customer support using Google Gemini.

What I learned

This project improved my skills in AI automation, prompt engineering, API integration, workflow design, and building practical AI solutions

What's next for 24/7 AI Customer Service Agent

I plan to expand the AI agent by integrating WhatsApp, email, and CRM systems, adding multilingual support, appointment booking, payment integration, and analytics. My goal is to make it a complete AI assistant that helps businesses automate customer support, generate leads, and improve customer experience.

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Updates

posted an update —

I'm excited to share the first version of my 24/7 AI Customer Service Agent for AB to Z Solar Company.

The AI agent is now live and can answer customer inquiries, provide business information, maintain conversation context using Simple Memory, and capture qualified leads using Google Gemini and n8n.

This project demonstrates how AI can help businesses automate customer support, save time from repetitive tasks, and improve customer experience. I'm looking forward to adding more features and integrations in the next version.

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