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Flutter Developers Can Now Build Multi-Agent AI Workflows Using Gemini API

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A new tutorial series for Flutter developers introduces the concept of AI agents and multi-step agentic workflows, building on earlier lessons about structured output and error handling. The guide explains how single LLM calls fall short for complex tasks and how chaining specialized agents addresses that gap. Developers are walked through building three agents — a Planning Agent, a Generation Agent, and a Validation Agent — each handling a distinct stage of processing a user request. As a practical example, the system converts a vague Flutter UI request into a structured plan, generates code, and then validates the output for quality. The implementation uses Google's Gemini API via the googleai_dart package within a Flutter application.

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Flutter Developers Can Now Build Multi-Agent AI Workflows Using Gemini API · ShortSingh