proflead

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

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/

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

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?

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