Author: GW Alger

Unlock the secrets of MCP! Dive into the world of Model Context Protocol and learn how to seamlessly connect AI agents to databases, APIs, and more. Roy Derks breaks down its components, from hosts to servers, and showcases real-world applications. Gain the knowledge to revolutionize your AI projects!

Running local AI in 2026 means facing this choice eventually — Ollama or LM Studio. Both keep your data on-device, cost nothing per API call, and work fully offline. But they’re built on completely different philosophies, and picking the wrong one for your workflow could slow you down fast.

Use the Zapier MCP server to connect to over 8000 applications/tools.

If you want to run a local model that is free, private, and capable of connecting to all of your external tools, then keep watching this video. I’m going to show you how to run a capable local model on your own machine, and connect it to external services.

It’s easy to get lost in a swamp of AI buzzwords and technical jargon. In this video, I explain the most essential terms entrepreneurs need to know without the confusion.

At a certain point, the problem is not whether you can write one better prompt.

The problem is whether you can build a workflow that keeps working after the first prompt.

In this video, I break down the shift I have been making in my AI filmmaking process: moving from one-off prompts into systems that my AI agents can actually use. That means cleaner storyboards, stronger script packages, better context, and tools that are built for the way agents need to work in the background.

This is connected to the AI For Real Filmmakers workflow I have been building around storyboarding, prompt packages, continuity, and agent-ready production systems.

The bigger idea:
If we want AI agents to help with real creative work, we cannot only build tools for ourselves. We have to build tools that let the agents understand the project, use the right context, and keep the workflow moving without us re-explaining everything every time.

In this video I cover:
Why better prompts are not enough for real AI filmmaking workflows
How agent-ready systems change the creative process
Storyboard, script, and prompt package structure
Why context matters when agents are doing background work
How this connects to the AI For Real Filmmakers workflow

How to run a powerful AI model locally on your own computer — free, private, and fully offline — using LM Studio. Which open models to pick, what the jargon actually means, and exactly what your laptop can run.

After a frontier model got switched off for everyone overnight, running your own AI stopped being a hobby and became insurance. This is the complete beginner’s walkthrough for professionals — no terminal, no coding. Install LM Studio, learn the handful of terms that matter (parameters, quantization, GGUF, mixture-of-experts), see how today’s open models stack up against the frontier, work out what fits in your computer’s memory, and wire a local model into the tools you already use.

See how to build AI-powered tools that run locally with Ollama. Cedric Clyburn demonstrates how to maintain data privacy, integrate Langchain, and simplify development using local AI deployment. Discover how to prototype smarter and optimize tools for enterprise tasks with ease.

On May 20th, 2026, Google transformed Flow from a simple AI video generator into a full-blown conversational Flow Agent — and it’s going to change how creators, filmmakers, and content studios build video projects.

In this video, I test the new Flow Agent and break down every major capability Google just added.

Here’s what we cover:

Persistent Project Memory
Flow now remembers your characters, style guides, scene rules, and creative direction across your entire project session.

Prompt-to-Edit
Edit existing footage using natural language. Color grade, speed ramp, add camera shake, adjust scenes, and make creative changes just by typing what you want.

Bulk Asset Factory
Drop in a CSV spreadsheet with dozens of prompts and let Flow generate assets simultaneously in parallel.

Flow Tools
Build custom creative tools in plain English. In the video, we create a Retro Arcade Character Card generator that turns any selfie into an 8-bit trading card.

Character Builder & Casting Studio
Create original characters from scratch, assign voice profiles, write their personality, and Flow maintains that identity across every scene.

Whether you’re a solo YouTube creator, filmmaker, game studio, or content team, Google Flow is no longer just an AI video generator — it’s becoming an AI-powered production house.

In this beginner-friendly tutorial, I’ll show you how to install ComfyUI from scratch, download a free AI video model, generate videos from text prompts, animate existing images, and save your finished videos. Everything runs locally on your computer, so there are no API keys, subscriptions, or usage credits required.

By the end of this video, you’ll know how to:
Install ComfyUI Desktop
Download the free LTX 2.3 AI video model
Generate videos from text prompts
Animate existing images
Adjust video settings like resolution, duration, and frame rate
Find and manage your generated videos
Explore additional AI video workflows

If you’re looking for a free way to create AI videos on your own PC, this tutorial will get you up and running.