Intake:Digital

Building a Multi-Agent System 1. Introduction Overview In this lab, you will go beyond simple chatbots and build a distributed multi-agent system. While a single LLM can answer questions, real-world complexity often requires specialized roles. You don't ask your backend engineer to design the UI, and you don't ask your designer to optimize database queries. Similarly, we can create specialized AI agents that focus on one task and coordinate with each other to solve complex problems. You will build a Course Creation System consisting of: Researcher Agent: Using google_search to find up-to-date information. Judge Agent: Critiquing the research for quality and completeness. Content Builder Agent: Turning the research into a structured course. Orchestrator Agent: Managing the workflow and communication between these specialists. What you'll do Define a tool-using agent (researcher) that can search the web. Implement structured output with Pydantic for the judge. Connect to remo...

Project: Build a Mobile AI Assistant Using Termux (+Python) Imagine having your own AI assistant that runs entirely on your Android phone—no cloud dependencies, no expensive subscriptions, and full control over your data. With Termux and Python, you can build a lightweight but powerful AI assistant that listens, processes, and responds—all from your pocket device. In this project, we’ll explore how to set up your environment, build your assistant, and expand its features. Whether you’re into quick Termux projects or want to step into the world of AI automation, this guide is your launchpad. Why Build an AI Assistant in Termux? Most AI assistants are locked into ecosystems that harvest your data or limit what you can build. By running your assistant locally, you get: Privacy and control – No third-party servers needed. Offline functionality – Perfect for environments with limited connectivity. Learning opportunity – Understand how AI models and APIs work under the hood. Step 1 : Set Up ...

(Free) Agentic Coding with Goose (Free) Agentic Coding with Goose # Introduction   The world of artificial intelligence (AI) for developers is changing at lightning speed. You may have likely used tools that offer impressive code suggestions, autocompleting a line or two. But what if your AI could do more? Imagine an assistant that doesn't just suggest a function but writes the entire script, runs it, spots the bugs, fixes them, and even deploys the final project — all while you sip your coffee. This is the promise of agentic coding, and it's no longer a futuristic concept. It's here today with tools like Goose. This article is your beginner-friendly tutorial to understand and use Goose, a free and open-source AI agent that moves beyond simple suggestions to automate meaningful engineering tasks. We'll break down what makes Goose special, how it works, and exactly how you, as a data scientist, can start using it to supercharge your workflow. # What Is Goose?   At its co...