proflead

proflead

By profleadTechnology
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proflead episodes

  • OpenAI Codex Subagents 101

    Learn how to make multiple specialized AI agents work in parallel, handling front-end, back-end, and code reviews simultaneously, without overwhelming your context window. We’ll walk through manual .toml configurations, using the Codex Agents Library, and running parallel prompts directly in the terminal.


    Watch the full video on YouTube: https://youtu.be/xItvCoWNPVo?si=igDiJVWWBmYtVrHXhttps://youtu.be/xItvCoWNPVo?si=igDiJVWWBmYtVrHX

    10 min
  • Claude Code + Ollama Explained in 4 Minutes

    Did you know the new Claude Code CLI tool doesn't have to run on Anthropic's servers?


    In my latest video, I show you a "hack" to redirect Claude Code to use your local Ollama server. This means you can use open-source models (like Llama 3, Qwen, or GPT-OSS) directly in your terminal for free.


    Why do this?

    Privacy: Your proprietary code never leaves your local network.

    Cost: Zero API fees.


    The Catch? I put it to the test on a machine with 32GB RAM and 8GB VRAM. While it works, the speed difference compared to the cloud is massive.


    Check out the full tutorial and performance test to see if your rig can handle it!


    Watch on YouTube: https://youtu.be/COpg79ab6ug

    Read the full tutorial: https://proflead.dev/posts/claude-code-with-ollama-tutorial/

    5 min
  • How to use Ollama (2026 Tutorial)

    Learn how to use Ollama in 2026! This complete ollama tutorial covers everything you need to run large language models (LLMs) locally on Linux, Mac, and Windows. We dive into the CLI, new Cloud features, and how to use local ollama Python scripts to integrate AI into your own projects.In this video, we explore the power of ollama to run open-source models like Gemma and Mistral without paying for cloud API fees. You will learn how to download models, manage them via the command line, create custom model files, and set up a local server. Key Topics Covered:

    • Installing Ollama on any operating system.
    • Running your first LLM locally (Gemma, Llama, etc.).
    • Using Ollama Cloud to offload heavy models (like 100B+ params).
    • Writing Python scripts to interact with your local models.
    • Creating custom "Modelfiles" for personalized AI behavior.

    Watch on YouTube: https://youtu.be/AGAETsxjg0o?si=h7_IB4vRqT6shmo0


    The full tutorial: https://proflead.dev/posts/ollama-tut...Download Ollama: https://ollama.comOllama Library: https://ollama.com/library

    11 min
  • Guide to AI Coding Agents & Assistants

    I put together a practical breakdown of modern AI coding tools (Copilot, Gemini, Claude, Cursor, Windsurf, Antigravity, etc.).

    Focus is not “best AI”, but:

    • what tasks each tool is actually good at
    • assistant vs agent workflows
    • IDE vs CLI vs AI-native editors

    Sharing in case it helps others navigate this space.

    Video: Which AI should you use?

    16 min
  • Google Opal Explained

    How to use Google Opal AI and start building your own AI mini-apps without writing a single line of code. In this complete Google Opal tutorial, I show you what Opal is, how it works, how to get started, real use cases, and what you can actually build with it.


    Watch on YouTube: https://youtu.be/lcB0eIp5Hwc

    10 min
  • Chrome DevTools MCP Explained

    The new Chrome DevTools Model Context Protocol (MCP) and how it can revolutionize your workflow with AI coding assistants. In this video, I'll walk you through what the Chrome DevTools MCP is, its powerful features, and how you can integrate it with your development environment. Discover how this tool allows your AI agent to debug web pages directly in Chrome, providing insights into performance, network issues, and more.


    Watch the full video on YouTube: https://youtu.be/e0z7EQZT2b0

    4 min
  • ChatGPT Agent Mode Explained

    In this full tutorial, you’ll learn how to use ChatGPT’s Agent Mode, what it can actually do, and how it works behind the scenes. Whether you’re a beginner or a developer, this video covers step-by-step instructions, real-world use cases, and an honest review.


    Watch on YouTube: https://youtu.be/scaSlMva7fE

    8 min
  • Gemini CLI: All You Need to Know

    Gemini CLI Tutorial! Install Gemini CLI fast — including MCP support! This step-by-step guide shows you how to set up Gemini CLI and verify it’s working in minutes.Learn how to prepare your environment, install dependencies, and run your first commands. Perfect for developers who want to get started quickly!On GitHub: https://github.com/google-gemini/gemini-cliThe full tutorial: https://proflead.dev/posts/gemini-cli-tutorial/

    Watch on YouTube: https://youtu.be/Gm8XjcNQ1Vk

    11 min
  • Master Google Jules: The Ultimate AI Coding Agent Guide

    Google Jules AI Tutorial Hey there! In this quick tutorial I’ll show you how to get started with Google Jules, the AI coding agent that can fix bugs, add features, run tests, and more—all in the cloud. Whether you’re a solo developer or part of a team, Jules can save you hours on routine tasks.

    9 min

About proflead

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I talk about WebDev, Data, AI and more