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Automating Support with AI and Real-World Training

In this episode of the Colaberry AI Podcast, we explore the CoraEmail AI Project—an ambitious initiative from the Colaberry School of Data Science & Analytics. Designed to automate support ticket resolution, CoraEmail leverages cutting-edge technologies including n8n workflow configuration, vector databases (Supabase with pgvector), and the OpenAI GPT-4 API to deliver high-confidence email responses in under 60 seconds.

This project not only aims to autonomously resolve 60% of support emails but also serves as a production-grade challenge for Colaberry interns, providing them with hands-on, real-world AI training. Alongside technical innovation, we share the story of Josiah, a Colaberry alumnus and Qlik Developer, who credits the rigorous internship for preparing him to succeed in the tech industry.

🎯 Key Takeaways:
⚡ Real-time AI for automating high-volume support emails
🤝 Interns building production-grade systems with modern AI tools
🔄 Workflow automation using n8n, vector DBs, and GPT-4
📜 The goal: resolving 60% of emails autonomously
🌍 Alumni success stories proving the value of practical training

🧾 Ref: AI for Real-Time Decisions – CoraEmail Project

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