From Chatbots to Agentic Systems: Why We Migrated ANTICIPA from Dialogflow to Mastra AI

Building AI agents that handle simple FAQs is a solved problem. Building AI agents that generate remote sensing maps, query humanitarian databases, and maintain deep context over long periods? That's an entirely different beast. At ANTICIPA, an AI-driven platform focused on risk management and resilience, our goal is to empower vulnerable communities with real-time data. To achieve this, we need an architecture that doesn't just "talk," but executes complex, long-running tasks. More information about ANTICIPA here: Global Projects We started our journey using Google's Conversational Agents (formerly Dialogflow CX). It allowed us to move fast, but as our use cases grew more complex, we hit an architectural wall. Here is why we decided to migrate our core agentic infrastructure to Mastra AI, and what software architects should consider when building robust AI workflows. The Honeymoon Phase: Why Conversational Agents are Great to Start Don't get me wrong: Conversational Agents (Dialogflow