digitalocean-labs

Sea Support

Name: Sea Support
Author: digitalocean-labs

AI community

SOURCE https://github.com/digitalocean-labs/sea-support

Description

A Rails reference app for building an AI-powered support inbox on DigitalOcean App Platform — includes MongoDB, Gradient AI (Inference + Agents), and Spaces storage.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

Sea Support: Rails, MongoDB, & DigitalOcean Gradient AI Reference App

Reference application for building AI-powered customer support platform with Gradient AI, MongoDB, Ruby on Rails, and Sidekiq.

[![Rails](https://img.shields.io/badge/Rails-8.0+-red.svg)](https://rubyonrails.org/) [![MongoDB](https://img.shields.io/badge/MongoDB-7.0+-green.svg)](https://www.mongodb.com/) [![DigitalOcean AI](https://img.shields.io/badge/DigitalOcean-AI%20Integration-blue.svg)](https://www.digitalocean.com/products/ai-ml) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

Sea Support is an educational Rails application that shows how to build a modern customer support platform with AI integration. Think of it as a complete example of how AI can transform customer service while keeping humans in control.

We've built it around **MoodBrew** - an imaginary smart coffee machine that reads your mood and brews accordingly. From panicked "no coffee for 3 days!" emergencies to feature requests like "hangover mode please!", Sea Support handles real-world support scenarios with a coffee-themed twist.

![support_tickets_dashboard](https://github.com/user-attachments/assets/df4bee13-ffc9-414d-b47d-86ec07333242)

What You'll Learn

Rails 8 + MongoDB: Modern Rails patterns with flexible document storage
AI Integration: DigitalOcean Agent + Gradient AI with intelligent fallbacks
Background Processing: Sidekiq jobs with comprehensive monitoring
Modern UI: Tailwind CSS with Hotwire and Stimulus controllers
Testing: RSpec with MongoDB patterns and AI service mocking

Key Features

🤖 Smart Ticket Analysis - AI automatically tags, prioritizes, and analyzes tickets
📝 Response Suggestions - Generate helpful customer replies with confidence scoring
🎭 Demo Generator - Create realistic support scenarios instantly
📊 Performance Tracking - Monitor AI accuracy and agent productivit