In this episode, I show how I actually use ChatGPT to run my business: settings, models, custom GPTs, and Projects.

Then we do a live demo: I ask ChatGPT to write the prompt, and we generate an ad image from 2 photos.

ChatGPT updates constantly. New models, new features, new hype cycles.

But the real advantage isn’t the latest update — it’s how you use the tool.

In this episode, I walk you through my real ChatGPT workflow:

• Free vs Plus plan (and why I use Plus)
• The settings that matter (personalization + memory)
• Model selection (thinking vs instant)
• Uploading files/images for better context
• Custom GPTs (shareable) vs Projects (internal)
• How I build a business GPT (Customer Avatar Finder)
• My favorite trick: ask ChatGPT to write the prompt
• Live demo: combine two photos into a photorealistic ad image

Sponsored by:

• Grata Software — custom AI + automation for small businesses
• Digital Strike — DIY training for AI + automation

Comment what you want me to show next:
Lead gen, sales follow-up, customer avatars, offers, or automations.

00:00 We’re finally using tools (ChatGPT)
01:10 AI hype cycles & why strategy matters
04:37 ChatGPT plans: Free vs Plus
06:58 Personalization settings
09:27 Why I keep Memory OFF
11:47 Data controls + privacy reality
14:11 Protecting data (local models)
15:00 Models: thinking vs instant + training dates
16:33 RAG explained in plain English
18:56 Files, context windows, and uploads
21:13 Agent mode warning
23:35 Sidebar: chats, images, apps, codex
25:51 Custom GPTs vs Projects
30:25 Why ChatGPT changed business research forever
32:42 Building a Custom GPT (Avatar Finder)
35:06 Knowledge base “secret sauce”
37:29 Projects example (travel budget)
39:53 Ask AI to write the prompt (pro move)
44:25 Live image generation results
46:44 CTA + next episode

#ChatGPT #AI #Automation #SmallBusiness #Marketing

Most people don’t understand how AI actually works — and that’s okay.

In this episode, I explain Large Language Models using a simple story anyone can understand.

Neural networks, transformers, hallucinations, and RAG are usually explained with math, code, and diagrams that look like spider webs.

So I did something different.

In this bonus episode of the AI Automation Alchemist podcast, I use a simple story — a flat tire and a cocktail party — to explain:

• How Large Language Models actually work
• What input layers and hidden nodes really do
• Why AI hallucinates
• How transformers keep context intact
• How Retrieval Augmented Generation (RAG) injects facts
• Why AI feels intelligent without “thinking”

No code. No math. No hype.

If you’ve ever nodded along pretending to understand neural networks — this episode is for you.

Sponsored by:

• Grata Software — custom AI & automation
• Digital Strike Hub — learn AI the right way

#ChatGPT #LLM #ArtificialIntelligence #AIExplained #Automation

ChatGPT isn’t thinking — it’s calculating probabilities.
In this episode, I explain how Large Language Models actually work, in plain English.

Most people use ChatGPT daily without understanding what it’s actually doing.

In this episode of the AI Automation Alchemist podcast, I break down:

• What Large Language Models (LLMs) are
• How neural networks work (simplified)
• What transformers actually do
• Why context matters more than prompts
• Why AI feels intelligent without “thinking”

This is not hype, not marketing, and not theory — it’s a practical explanation for business owners and builders who want to use AI correctly.

00:00 What this episode covers
00:45 Why I used Notebook LM
02:10 What a Large Language Model is
03:15 Neural networks (simplified)
04:40 Hidden nodes & parallel processing
06:00 Transformers & context
07:40 Why words mean different things
09:00 Why AI feels intelligent
10:15 The simplified explanation epiphany

Resources & Links:

• Notebook LM
• Grata Software
• Digital Strike

Connect with Rey Ortega:

• LinkedIn
• X/Twitter
  

#ChatGPT #LLM #ArtificialIntelligence #AIExplained #Automation