Building Agentic Apps: AI Teammates with Flutter and Firebase

Learn how to transition from basic AI features to orchestrating multi-agent systems using Flutter and Firebase.

Posted on: 2026-03-15 by AI Assistant

Introduction

Welcome to the era of Agentic AI! We are no longer just building chatbots or simple autocomplete functions; we are orchestrating “AI Teammates” that can reason, plan, and act autonomously within the constraints we set. In this tutorial, you will learn how to build an agentic app architecture using Flutter for the frontend and Firebase (with its new AI Logic SDK) for the backend orchestration.

Prerequisites

• Flutter SDK installed (v3.24 or later)
• A Firebase project with Blaze plan enabled
• Familiarity with Dart and basic Firebase concepts

Core Content: Orchestrating the Agents

1. Setting Up Firebase AI Logic

First, initialize your Firebase environment. The Firebase AI Logic SDK allows you to define agent roles directly on your backend, keeping your API keys secure and your logic centralized.

// index.js (Firebase Cloud Functions)
const { initializeApp } = require('firebase-admin/app');
const { getAILogic } = require('firebase-admin/ai-logic');

initializeApp();
const ai = getAILogic();

exports.researchAgent = ai.createAgent({
  model: 'gemini-2.5-pro',
  role: 'You are a meticulous researcher. Given a topic, gather comprehensive technical details.',
  tools: [ai.tools.webSearch, ai.tools.readDocument]
});

exports.writerAgent = ai.createAgent({
  model: 'gemini-2.5-flash',
  role: 'You are an expert technical writer. Synthesize research into a concise report.'
});

2. Connecting from Flutter

In your Flutter app, you no longer send a monolithic prompt. Instead, you trigger a workflow that orchestrates these agents.

import 'package:cloud_functions/cloud_functions.dart';

Future<String> triggerAgentWorkflow(String topic) async {
  final result = await FirebaseFunctions.instance
      .httpsCallable('orchestrateAgents')
      .call({'topic': topic});
      
  return result.data['report'];
}

Putting It All Together

By separating concerns into specialized agents (researcher, writer, reviewer), your app can handle vastly more complex tasks with higher reliability.

Conclusion & Next Steps

You’ve successfully set up a basic agentic workflow! Next, consider adding a “Human in the Loop” UI component in Flutter, allowing the user to approve an agent’s plan before it executes the final steps.