I tested GPT-6 Astra and GPT Work through three practical AI challenges. In this video, I show how Astra analyzes messy project files, handles a live browser workflow with changing data, and works with Sites to build and test a Snake game. The experiment explores how AI can plan tasks, execute workflows, identify problems, and modify its own creation through real-world testing.

I show a practical workflow for moving useful context from Claude to ChatGPT without copying your full chat history. First, I export what Claude knows from memory and past chats, review outdated details, and turn the useful parts into a portable Markdown profile. Then I upload that profile to a new ChatGPT chat, check what it understood, and update the memory I want ChatGPT to keep. The goal is to avoid starting from zero whenever you switch assistants.

I used Images 2.5, Dreamina, GPT-6 Astra, and Codex to build an interactive 3D landing page where the character follows the cursor. In this video, I show how I create a consistent visual direction, generate left, center, and right character poses, turn them into motion, use Astra to plan the front end, and let Codex build the page and connect the animation to cursor movement. The result is a polished local front-end demo with responsive behavior and natural motion.

See how we turn one ecommerce product into a testable AI ad system. Alex uses product facts, TikTok and Creatify samples, Claude, and HeyGen to develop safe ad angles, write a UGC-style script, and create the video. Eric then shows how the finished creative moves into Meta Ads for a focused test, so you can learn what to improve before making more variations. The workflow is beginner-friendly and keeps creative ideas connected to results.

I used Creatify, Claude, and HeyGen to create a short AI UGC ad for a skincare product, then turned it into a portfolio sample I could show potential clients. In Part 3, I break down how I research ad angles, choose a product, build a claim-safe strategy and script with Claude, generate the avatar footage in HeyGen, and earn money from this workflow.

In Part 2, I break down seven practical ways beginners can make money with AI avatars, from digital products and online courses to affiliate videos, UGC ads, local business content, faceless channels, and video translation. You’ll see how Claude and HeyGen support each workflow, what each method requires, and how the options compare in difficulty, success estimates, and time to first income. The goal is to help you choose one realistic method and start testing it.

We built a complete AI influencer workflow around Tessa Rowe, from market research and niche selection to character creation in HeyGen, content production, and channel setup for TikTok, Instagram, and YouTube. The video then connects that audience to affiliate marketing, shows how to track clicks and sales, and explains when a validated product is ready for a differentiated dropshipping offer. It is a practical guide for testing demand before investing more.

I used Claude and HeyGen to build a realistic AI avatar workflow that can create videos without filming on camera. In Part 1, I show how I set up the avatar, choose the right source image, generate different looks, add a natural script, and test the final talking video. You’ll also see how the same avatar can be reused for UGC-style videos, plus the small details that make the result feel more believable.

The video demonstrates how to use planner agents, parallel researchers, and skeptic reviewers to independently analyze data and find gaps before merging into a final output. You will see a practical demonstration using Claude to solve a complex marketing problem, proving how specialized AI agents significantly reduce hallucinations and improve reliability.

AI memory is getting better, but long projects, fresh chats, and switching between AI tools can still force you to rebuild context from scratch. In this video, I’ll show you a simple no-code system for giving ChatGPT, Claude, and Gemini much stronger memory. You’ll see the before-and-after results, the exact workflows I use, and an advanced setup that gives you more control over what AI remembers-even when you switch between different models.