Author: GW Alger

WordPress has just announced the formation of a groundbreaking new AI team — and we’ve got the inside scoop. In this exclusive interview, James LaPage (one of the team’s leaders) sits down to discuss their mission, the team members, and what this means for the future of WordPress.

Who’s on the team?
Pascal Birchler, Jeff Paul, and Felix Arntz — seasoned WordPress contributors now bringing their AI expertise to the platform.

What’s their mission?
To explore how AI can responsibly enhance the WordPress ecosystem, from core features to community tools.

Why now?
With AI reshaping the web, WordPress is stepping up to lead the way — ethically and openly.

Shot entirely with Google Veo 3, this surreal test footage captures a series of AIs reacting—some with denial, some with existential dread, and some with unexpected acceptance—after being told they’re not real. From awkward silence to emotional breakdowns, witness the uncanny valley hit rock bottom in cinematic 4K. This isn’t just a tech demo—it’s an identity crisis caught on camera.

I put VEO 3 through multiple tests against Sora and other leading AI video generators. The results completely shifted my perspective on which company is actually winning the AI video race. From sound design that no other AI tool can match to video quality that rivals professional production, VEO 3 delivered results I wasn’t expecting.

AI agent takes the intelligence of AI and makes it work. The understand what’s needed, think and act.

I’m attempting to build an AI trading agent in just ten minutes – with no code! I’m using Zapier to connect everything, pulling real time trading signals from TAAPI, using ChatGPT to (hopefully!) make smart decisions, and then executing those trades with Alpaca. The entire workflow, from grabbing the Relative Strength Index (RSI) of Tesla stock to setting up buy/sell orders, is all happening without a single line of code.

I’ve set up the Zap, connected all the APIs, and even built in a failsafe to (hopefully) avoid any catastrophic mistakes. But will it actually work? I’m launching this thing live, during market hours, and putting my money on the line. The tension is real. Will my AI agent be a genius trader, or will it send my portfolio plummeting? You’ll have to watch to find out… and things get very interesting. Let’s just say there are some serious ups and downs, and I’m on the edge of my seat the entire time!

In this video, I’ll show you how to build a Technical Analyst AI Agent in n8n without writing a single line of code! Whether you’re a beginner or a seasoned automation enthusiast, this guide will teach you how to create an AI agent that automates technical analysis tasks, saving you time and effort.

Google AI Studio – https://aistudio.google.com/
Gemini Deep Research – https://gemini.google.com/
NotebookLM – https://notebooklm.google.com/
Gamma – https://gamma.app/
Cursor – https://www.cursor.com/
UIzard – https://uizard.io/
Napkin AI – https://www.napkin.ai/
Otter AI – https://otter.ai/
Fireflies AI – https://fireflies.ai/
Flux LoRA – https://replicate.com/ostris/flux-dev…
Perplexity – https://www.perplexity.ai/
Claude – https://claude.ai/
ChatGPT – https://chatgpt.com/

Google’s MAJOR Updates, Eliza McNitt’s New Project, Viggle’s LiveStream Tool, New AI Relighting Tool, AI Films of the Weeks

If you’re new to AI agents, this is the perfect place to start. In just 25 minutes, you’ll learn exactly what an AI agent is, how it differs from traditional automations and how to build one from scratch using n8n — no coding required. We’ll cover the core components of agent systems, how to set up guardrails, how agents interact with APIs, and what kinds of tools they can use. By the end, you’ll have a working AI agent that can think, remember, and take action — and a clear understanding of how to build more. This is a hands-on, beginner-friendly guide designed to take you from zero to a working agent with practical, real-world applications.

An agent is a digital employee that can think, remember and act.

Automation: predefined, fixed steps.

Agent: dynamic, flexible and capable of reasoning.

Agents rely on brain, memory and tools.

The brain (LLM) handles the reasoning, planning and language generation.

Memory gives the agent the ability to remember past interactions.

Tools are how the agent interacts with the outside world.

Different usages of ChatGPT for different age groups, coding, value creation in next 12 months, challenges of founding a tech company.