Shubham Saboo Profile picture
Jul 5 8 tweets 3 min read Read on X
Build an AI Agent with Structured Output using Google ADK (step-by-step instructions):
What Are Structured Outputs?

Think of structured outputs as a strict dress code for your AI agent's responses.

Instead of getting random, unpredictable text, you get perfectly formatted JSON every single time.

Let's build our AI Agent with structured output 👇 Image
1. Install the necessary Python Libraries

Run the following commands to install the required libraries: Image
2. Define the output structure using Pydantic

Describe what you want your agent to return using Pydantic data model. Image
3. Create the Agent using Google ADK

with model, instructions and the output schema that we defined above as Pydantic Class. Image
4. Now lets put everything together to run and test this AI Agent.

Put the the above code in file and follow the proper ADK folder structure.

Run the following command: adk web

It will open the Agent UI that you can use for testing the agent. agent.py
Find the full source code with 100+ other AI Agents, MCP and RAG tutorials, completely free and Opensource.

🌟 Star the GitHub Repo to show your support: github.com/Shubhamsaboo/a…
I have created 100+ AI Agents and RAG tutorials, 100% free and opensource.

To get started:
1. Follow me → @Saboo_Shubham_
2. Step-by-step tutorials on Unwind AI (for free): theunwindai.com

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More from @Saboo_Shubham_

Jul 6
Build a Customer Support Ticket Agent with Structured output using Google Agent Development Kit.

100% Opensource code with step-by-step tutorial:
1. Install the necessary Python Libraries

Run the following commands to install the required libraries: Image
2. Set Up Project Structure

Create this folder structure: Image
Read 9 tweets
Jun 21
This Chinese AI model just changed document OCR forever.

It can parse complex documents with text, tables, formulas and figures in parallel simultaneously using task-specific prompts.

100% opensource.
Dolphin uses a smart two-stage parsing approach.

Stage 1: Analyzes page layout and generates element sequence in natural reading order.

Stage 2: Parses all document elements simultaneously using task-specific prompts. Image
You can try Dolphin's document parsing capabilities right now with live demo on GitHub.

GitHub Repo: github.com/bytedance/Dolp…
Read 4 tweets
Jun 10
This is crazy!

Meet the world's first fully Agentic Download Agent and AI Drive.

It can literally search, download, and organize any files instantly in the AI drive from just a single prompt.

Works with PDFs, images, videos, music, and Office documents.

3 wild examples:
1. Batch Download Images Instantly:

The Download Agent searches trusted platforms like Pixabay and Unsplash, gathers your images, and places them in a dedicated folder in your AI Drive.

One prompt does it all—no more tedious clicking or sorting.
2. Effortless PDF Collection for Research:

The Download Agent reads the post, locates every paper, downloads them, and organizes everything into a neatly named folder.

Files are even renamed to match their titles, making future reference effortless.
Read 5 tweets
Jun 7
Build an Agentic RAG systems that can Reason using Claude 4 and OpenAI Embedder (step-by-step instructions):
1. Install the necessary Python Libraries

Run the following commands from your terminal to install the required libraries: Image
2. Import necessary libraries

• @AgnoAgi framework provides the agent infrastructure
• @streamlit creates the web interface
• Environment variables for secure API key management Image
Read 14 tweets
Jun 5
OpenAI Operator costs $200 per month.

But this AI web agent literally blew my mind. I have been testing it for a while and it has automated hours of boring work for me.

5 amazing use cases:

1. Get top 10 AI stories on Hacker News in the last 24 hours and add it to my Google Doc.
2. Find top job openings in Austin that match my resume and create a Google Sheet with Company, Title, and Salary columns.
3. Look for the best Indian fine-dine restaurant in South Austin, book a table for 2, and add it to my Google Calendar.
Read 6 tweets
May 28
I vibe coded Instagram clone with this AI Agent using Claude 4 in less than 5 minutes.

Ship full-stack apps using Claude 4 without writing a single line of code.

Let that sink in.
Emergent is an agentic coding platform to build web apps, games, SaaS, Chrome extensions, and everything else.

It doesn't just generate code snippets, it builds entire systems with databases, APIs, authentication, and infrastructure, all with just simple prompts.
Here's another one:

I connected it with my GitHub repo Awesome LLM Apps and asked it to create a nice landing page for my Legal AI Agent Team app.
Read 6 tweets

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