Final Project: Build "YourGPT"

We will combine everything to build a personal assistant.

The Architecture

┌─────────────────────────────────────────────────────────────┐
│                        YourGPT                              │
├─────────────────────────────────────────────────────────────┤
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────────────┐  │
│  │   Web UI    │  │   Voice     │  │    CLI              │  │
│  │  (React)    │  │  (Live)     │  │                     │  │
│  └──────┬──────┘  └──────┬──────┘  └──────────┬──────────┘  │
│         └─────────────┬──┴────────────────────┘              │
│                       ↓                                      │
│  ┌─────────────────────────────────────────────────────────┐│
│  │                     Agent Core                          ││
│  │  ┌─────────────┐  ┌─────────────┐  ┌─────────────────┐  ││
│  │  │   Tools     │  │   Memory    │  │     Model       │  ││
│  │  └─────────────┘  └─────────────┘  └─────────────────┘  ││
│  └─────────────────────────────────────────────────────────┘│
└─────────────────────────────────────────────────────────────┘

Core Components

1. The Brain (Gemini Pro + ADK)

from google_adk import Agent
 
agent = Agent(
    model="gemini-2.5-pro",
    system_prompt="You are a witty personal assistant named YourGPT..."
)

2. Tools

ToolPurpose
web_searchFind facts online
code_interpreterRun Python for math
memory_layerRemember user preferences
calendarCheck and create events

3. Memory (Redis-backed)

memory = Memory(backend="redis://localhost:6379")
 
agent.on_start(lambda: memory.load_user_profile())
agent.on_end(lambda: memory.save_conversation())

4. Voice (Optional)

if mode == "voice":
    agent = LiveAgent(
        model="gemini-2.0-flash-live",
        voice="nova"
    )

Implementation Steps

  1. Initialize ADK Agent with Memory
  2. Register Tools (Search, Code, Calendar)
  3. Add System Prompt with personality
  4. Connect to Streamlit/React UI
  5. Add voice mode (optional)
  6. Deploy to Cloud Run
  7. Add observability (LangSmith)

Going Further

  • Add more tools (email, file management, browser control)
  • Fine-tune a personality
  • Add multi-user support
  • Implement agent skills marketplace

Congratulations!

You have gone from "What is a token?" to building a full-stack, multimodal, tool-using, remembering AI agent.

Welcome to the era of Agentic Engineering. The code you write today doesn't just execute instructions; it pursues goals.