Tag: AI

As AI agents become more capable, the skills needed for AI jobs are shifting. Bri Kopecki breaks down the 7 skills you need to move from prompt engineering to full agent engineering, including system design, retrieval, reliability, and security. Learn how to build AI agents that actually work in production

AI is everywhere—and evolving fast! Martin Keen explains 7 essential AI terms, including Explainable AI, AI Agents, RAG, and ASI, while exploring tools like reasoning models, vector databases, and MCP. Discover how these innovations are shaping smarter, scalable AI systems for the future.

OpenArt Director Is Next Level AI Video! Finally we can share what we’ve been working on for months! Whether it’s short films, micro dramas, explainer videos and more OpenArt Director is a new way to create ai video content. Some people are already calling it Vibe Directing! As AI continues to progress, the use of AI agents is becoming the norm. Whether you are a beginner or advanced user, Director caters to all levels.

In this video, I’ll show you exactly how to build your own AI cartoon show from scratch — with consistent characters, locked locations, and cloned voices — using a step-by-step workflow any solo creator can follow. This isn’t about making one cool scene. This is about building a repeatable production system so you can make multiple episodes that all feel like they belong to the same world.

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.