AI-Powered Welcome Note Generator

This innovative application leverages artificial intelligence to generate personalized welcome notes in a production-ready environment, all crafted exclusively in Go. The system evolves from straightforward text prompts to advanced, multi-stage LLM (Large Language Model) pipelines, complete with content moderation and strong natural language understanding.

Key Features

• 🤖 Five Progressive AI Flows: From basic string generation to complex NLP interpretations.
• 🛡️ Content Moderation: Multi-layered pipelines equipped with safety filters to ensure the quality and appropriateness of generated content.
• 🎯 Type Safety: End-to-end structured input and output management.
• ⚡ Reactive UI: Built without any JavaScript, utilizing Server-Sent Events (SSE) for dynamic user interactions.
• 🐳 Production Ready: Features built-in Docker deployment, rate limiting, and CSRF protection to secure and manage application performance.
• 📊 Observable: Integrated tracing and flow visualization through Genkit, enhancing debugging and monitoring capabilities.

Technical Overview

The welcome note generator is meticulously structured to ensure code reliability and performance, utilizing the following technologies:

• Backend:

  • Genkit for orchestrating AI flows.
  • Gin for efficient HTTP routing and middleware management.
  • Gemini 2.0 Flash for leveraging powerful LLM capabilities.
  • Ollama for local model support.

• Frontend (Go-only):

  • Templ for implementing type-safe HTML templates.
  • Datastar for enhancing the reactive user interface via SSE.
  • Tailwind CSS for modern styling.

Architecture Overview

The application's architecture consists of a clean separation of concerns, illustrated in the following diagram:

          ┌──────────────────────────────┐
          │          Browser UI          │
          │  (Templ + Datastar + HTMX)   │
          └──────────────┬───────────────┘
                         │
                HTTP Form / SSE Streams
                         │
              ┌──────────▼───────────┐
              │         Gin          │
              │   (Handlers & API)   │
              └──────────┬───────────┘
                         │
                  Call Genkit Flow
                         │
            ┌────────────▼────────────┐
            │         Genkit          │
            │  Flows / Prompts / AI   │
            └────────────┬────────────┘
                         │
            ┌────────────▼─────────────┐
            │      Model Provider      │
            │   (Gemini / Ollama)      │
            └──────────────────────────┘

Detailed Flow Breakdown

The application offers five distinct flows to cater to various user needs:

• V1 — Simple Prompt: Generates welcome note text based on a straightforward input string.
• V2 — Structured Input: Provides a structured interface for users to define the occasion, tone, and more.
• V3 — Structured Output: Delivers a JSON response with the note and valuable metadata such as sentiment analysis.
• Safe Flow — Content Moderation: Uses a multi-stage method to ensure content safety, producing both flagged and sanitized outputs.
• Smart Flow — Natural Language Interpretation: Transforms free-form user descriptions into structured parameters, generating well-crafted welcome notes that pass moderation checks.

Development and Deployment

The project is designed with ease of development and deployment in mind, featuring:

• Local development setup with Go.
• Comprehensive Docker deployment instructions for scalability and portability.
• Clear structure for unit testing and production readiness.

Additional Resources

• Live Demo: Experience the application fully operational at Live Demo.
• In-Depth Article: Gain further insights by reading Building an AI-Powered App Entirely in Go, which discusses the evolution of the application and key lessons learned.

This project exemplifies the potential of Go in building robust applications powered by AI, demonstrating how to combine simplicity, functionality, and safety in modern application development.