Building an AI-Powered Migration Pathways Agent with Go and the A2A Protocol

The author built an AI agent using Google's Gemini LLM and the A2A protocol to provide personalized international migration advice. This agent analyzes user profiles and suggests the best visa pathway, including costs, processing times, and actionable steps. The agent is deployed on Heroku for integration with platforms like Telex, a collaboration workspace. The system architecture comprises a client/user interface, an A2A protocol layer, and the migration agent itself. The A2A protocol standardizes agent communication through endpoints for agent metadata and query processing. The Go server manages tasks and embeds the agent card, while the Gemini client extracts information from natural language queries. Prompt engineering and low temperature settings are crucial for accurate structured output. The agent was tested using .http files and deployed via Heroku with a Procfile and environment variables.