Back

Explore every episode of the podcast AI Automation Alchemist

Dive into the complete episode list for AI Automation Alchemist. Each episode is cataloged with detailed descriptions, making it easy to find and explore specific topics. Keep track of all episodes from your favorite podcast and never miss a moment of insightful content.

Rows per page:

1–22 of 22

TitlePub. DateDuration
AI agents aren’t the future: They’re an expensive solution to a problem you don’t have28 Jul 202600:33:43

content type

Interview

primary goal

Educational

summary

Rey Ortega discusses the realities of agentic AI versus traditional AI models, emphasizing when to use each and the importance of human oversight in AI systems.

keywords

AI, agentic AI, artificial intelligence, automation, business automation, AI models, AI tools, AI systems, AI in business, AI automation

key topics

Difference between AI and agentic AI

Cost implications of AI systems

When to use AI agents vs traditional AI

Building multi-agent workflows for software development

Importance of human oversight in AI systems

takeaways

AI models already include brain, memory, and tools; the autonomy is what differentiates agentic AI.

Overusing AI agents can be costly and unnecessary for many business processes.

Human oversight remains crucial to ensure AI outputs are accurate and appropriate.

Building multi-agent systems can optimize complex workflows like software development.

Choosing the right level of AI automation depends on the specific business need and budget.

guest name

Rey Ortega

Titles

Understanding Agentic AI: When Human Oversight Matters

AI vs Agentic AI: What Your Business Needs to Know

sound bites

"Agentic AI can be overkill for many business processes."

"Models already come with brain, memory, and tools."

"Autonomy is what truly sets agentic AI apart."

Chapters

00:00 Introduction to AI Agentic Systems

00:30 The Client Story and Overkill of Agentic AI

01:57 Simplifying Business Processes with AI

04:02 Why Overusing Agents Can Be Costly

06:54 Difference Between AI and Agentic AI

10:07 Building Multi-Agent Workflows for Software Development

13:09 The Human Element in AI Oversight

17:01 Skills and Hierarchies in AI Systems

19:56 Cost and Complexity of Agentic AI

23:04 How AI Models Work: Brain, Memory, and Tools

27:56 Autonomy in Agentic AI

29:59 Recap and Final Thoughts on AI Implementation

resources

Claude AI - https://www.anthropic.com/claude

ChatGPT by OpenAI - https://chat.openai.com/

Eleven Labs - https://elevenlabs.io/

Go Digital Strike - https://godigitalstrike.com/

guest links

LinkedIn - https://linkedin.com/in/reyortega

Twitter - https://twitter.com/reyortega

3 Zero-Budget AI Marketing Moves That Can Save Small Businesses 20+ Hours a Week20 Jul 202600:49:27

Rey Ortega discusses his recent podcast episode, his work on the Digital Strike program, and the impact of AI on marketing for beginners. He also shares insights on the use of AI agents in business operations and the successful launch of a software application by Grata Software. Rey Ortega shares his journey of learning sales and marketing through trial and error, the frustration of hiring ineffective marketing companies, and the subsequent self-education in AI-driven marketing. He emphasizes the importance of human judgment in marketing and the role of AI as an assistant rather than a replacement.

Takeaways

  • AI Marketing for Beginners
  • The Role of AI Agents in Business Operations Sales and marketing are crucial for business success
  • AI can be leveraged to automate marketing tasks and save time
  • Human judgment is the differentiator in marketing and sales

Chapters

  • 00:00 Introduction and Podcast Episode
  • 03:04 Digital Strike Program and AI Marketing
  • 11:05 AI Agents in Business Operations
  • 22:11 Successful Launch of Software Application
  • 39:05 The Importance of Marketing and Sales
  • 40:01 Building a Company on Traditional Sales and Marketing
  • 41:27 Frustration with Ineffective Marketing Companies
  • 44:49 Self-Education in AI-Driven Marketing
  • 50:27 The Role of Human Judgment in Marketing
The Truth About AI in Business: Myths, Risks, and Strategies12 Mar 202600:49:31

AI is everywhere right now, but what actually works in business and what is just hype?

In this episode, Kyler Cheatham breaks down the reality of AI and automation in both enterprise and small business settings. He shares why so many companies get distracted by flashy promises, where AI can create real value, and what business owners need to watch out for when adopting new tools.

This conversation covers the biggest myths around AI, the risks tied to cybersecurity and contracts, the limitations of AI agents, and why strategic implementation matters more than chasing trends. Kyler also explains how businesses can focus on speed to value, avoid overpriced software, and make better technology decisions that actually support growth.

If you want a practical look at AI, automation, business strategy, and implementation risks, this episode gives you a grounded perspective without the hype.

In this episode:
  • The truth about AI and automation in business
  • Common myths and misconceptions around implementation
  • Why strategy matters more than trend-chasing
  • Risks involving cybersecurity, contracts, and SaaS tools
  • AI agents and where they fall short
  • Small business automation challenges
  • How to focus on speed to value
  • Choosing the right technology for real business outcomes
Guest:

Kyler Cheatham

Guest Links:

TikTok: https://www.tiktok.com/@kylercheatham
LinkedIn: https://www.linkedin.com/in/kylercheatham
Website: https://confluential.com/

#AI #Automation #BusinessStrategy #ArtificialIntelligence #Cybersecurity #SmallBusiness #EnterpriseTechnology #AIAgents #TechImplementation #BusinessGrowth

Unlock Business Efficiency with Claude: Your AI Assistant24 Feb 202601:00:42

Are you a small business owner overwhelmed with daily tasks? Discover how to work smarter, not harder, by effectively using AI tools like Claude to streamline your operations and focus on growth!

In this video, we dive deep into the capabilities of Claude and how it can transform your daily workflow. Here’s what we cover:

Key Points:

  • Understanding the Difference (0:00): The crucial distinction between working in your business versus on your business.
  • Introduction to Claude (2:10): An overview of Claude and what makes it a powerful business tool.
  • Three Major Ways Claude Can Help Your Business (5:45):
  • Task Automation: How Claude can take over repetitive tasks like email sorting and summarization.
  • Data Synthesis: Learn how Claude can pull together information from multiple sources to create insightful reports.
  • Marketing Consistency: Utilizing Claude to maintain a consistent marketing message and customer engagement.
  • Real-Life Applications (12:30): Examples showcasing how Claude has been implemented in various business scenarios, including customer inquiries and document creation.
  • Best Practices for Using Claude (18:40): Tips on how to set up and maximize Claude’s features for your specific business needs.
  • Watch the Interface in Action (22:15): A live demonstration of Claude’s interface and how to navigate its features effectively.

You will learn how to harness the power of AI to automate mundane tasks, synthesize data for better decision-making, and create a seamless marketing strategy that reflects your brand's voice. By the end of this video, you’ll be equipped with actionable insights to enhance your business efficiency and focus on what truly matters, growing your business.

Join us as we explore Claude, the AI tool designed to save you time, energy, and money while keeping your business running smoothly. Don’t forget to like this video, subscribe for more insights, and share your thoughts in the comments below!


If you found this video helpful, please hit the thumbs up, subscribe for more content, and leave a comment with any questions or topics you'd like us to cover in future episodes!


#SmallBusiness #AI #Claude #BusinessAutomation #Efficiency

How to Get Better ChatGPT Results with Context, Strategy, and Smart Prompting Without Guessing16 Feb 202600:47:30

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:

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

Bonus Episode: How Large Language Models Actually Work (A Simple Story)09 Feb 202600:23:25

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:

#ChatGPT #LLM #ArtificialIntelligence #AIExplained #Automation

The Tech Behind AI Chat Tools (LLMs)04 Feb 202600:12:25

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:

Connect with Rey Ortega:

#ChatGPT #LLM #ArtificialIntelligence #AIExplained #Automation

Stop the AI Hype! Here’s the Tactical Plan27 Jan 202600:07:44

Next week we go tactical: AI tools that help you find customers, target them, message them, and convert them.

This week we talked about AI hype, conferences, and the wild claims people make about “AI expertise.”
Now we’re moving forward.

Next week’s episodes focus on tactical AI tools for business owners, especially:

  • How to identify the right customers (demographics + psychographics)
  • How to craft an offer that speaks to them
  • How to message them on social and email
  • What tools to use (and which are a waste)
  • How to control tool costs and ensure 10x ROI

Sponsored by:

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

Drop a comment with the #1 thing you want AI to help you with:


Lead gen, sales, content, ops, or customer support.

00:00 This week recap: AI hype + misinformation
01:10 Disclaimer: marketers still help beginners
02:20 Sponsors: Grata Software + Digital Strike
03:00 Next week: tactical AI tools for business growth
04:10 Customer acquisition: who to target + why
05:10 Tool cost problem + how to think ROI
06:10 The 30-day podcast challenge + why I’m doing this
07:10 What topics do you want next?

#AI #Automation #SmallBusiness #Marketing #CustomerAcquisition

Marketers Are Lying About AI (Here’s Why)26 Jan 202600:10:20

Using AI tools doesn’t make you an AI expert — and pretending it does is hurting businesses.


In this episode, I explain the difference between tool users and real AI expertise.

I’m recording this episode from an indie game jam where I’m mentoring engineers, and it perfectly highlights a growing problem in the AI industry.

Too many people — especially marketers — are calling themselves “AI experts” after learning a handful of tools or getting certified. Using tools does not equal expertise.

In this episode, I break down:

  • Why AI tools don’t give you “god-like skills”
  • The difference between tool users and experts
  • Why AI certifications don’t impress real companies
  • Why Siemens, GE, and enterprise clients only care about experience
  • Who AI tools are actually for (and why that’s still valuable)
  • How bad AI advice is costing companies millions

If you want to learn AI properly, check out Digital Strike.
If you want AI done for you, contact Grata Software.

The Truth About AI Modes25 Jan 202600:23:57

The conversation delves into the misconceptions surrounding AI and automation, particularly focusing on the Chat GPT technology. It addresses the false notion of 'genius mode' and the reality of how the technology functions. Additionally, it explores the Chat GPT ecosystem and its various components.

Takeaways

  • AI and Automation Misconceptions
  • Understanding Chat GPT Ecosystem

Chapters

  • 00:00 Introduction to AI and Automation Misconceptions
The 70/20/10 Rule for AI (Why Most AI Projects Fail)22 Jan 202600:13:22

Most AI implementations fail because people start with tools (the 10%) instead of culture (70%) and process (20%).


In this episode, I break down the 70/20/10 rule for AI and how to use it to actually implement automation.

In this episode you’ll learn:

  • What the 70/20/10 rule is (and where it came from)
  • Why “AI consultants” often teach tools with no purpose
  • The #1 problem: you can’t automate what doesn’t exist
  • How to implement AI the right way:

    • 70% = culture + buy-in + skills
    • 20% = SOPs + workflows + integration
    • 10% = models, tools, algorithms, automation build

If you want our AI + Automation implementation guide, comment: NEED A PLAN.

Sponsored by:

#AI #Automation #BusinessSystems #SOP #AIImplementation

Chapters

00:00 The 70/20/10 rule for AI
00:30 What the framework is (70 core / 20 related / 10 new)
01:26 Why most AI consultants miss it
02:50 Client story: “Where’s your list?”
04:19 You can’t automate what isn’t there
05:40 Secret #1: 70% is buy-in + culture
07:07 Secret #2: 20% is SOPs + integration
09:27 Secret #3: 10% is the tech
11:47 Recap + how to apply it
12:46 Comment “NEED A PLAN”

The 10,000-Hour Rule vs “AI Experts”21 Jan 202600:24:10

Someone told a room full of people: ‘I know AI like nobody else… I started in 2022.’ That’s when I knew we had a problem.

AI was everywhere at the conferences I attended — especially PodFest — and a lot of it was oversold.
In this episode, I explain why “using AI tools” ≠ being an “AI expert,” and I highlight **3 presenters who did it the right way.

You’ll learn:

  • Why “AI expert since 2022” is a red flag (and what real expertise looks like)
  • The 10,000-hour rule as a reality check for skill claims
  • 3 great presentations and what made them credible:
    • Dr. Catrice Austin (Celebrity Branding USA) — PR + AI used responsibly
    • Jennifer Navarrete — podcasting experience + practical AI use
    • Chad Parazan (Ader Communications) — prompts + workflows for podcast automation
  • How to use AI for podcast prep, editing, trailers, and clips the smart way

👋 I’m Rey Ortega, a 26-year software engineer & automation builder (250+ business applications).


Sponsored by: Grata Software + Digital Strike

✅ Links mentioned in this episode (add yours here):

#ai #automation #podcasting #chatgpt #businessautomation

Chapters

00:00 AI wasn’t supposed to be the topic… but it was
01:05 The conference “AI hook” problem
06:55 “AI expert since 2022” (the credibility issue)
07:35 The 10,000-hour rule reality check
10:45 AI isn’t new (since the 60s) + what “real AI” is
13:30 Presenter #1: Dr. Catrice Austin (PR + AI done right)
16:55 Presenter #2: Jennifer Navarrete (podcasting truth + volume)
27:50 Presenter #3: Chad Parazan (prompts + full podcast automation)
33:25 Wrap-up: the standard going forward


Unmasking AI Myths: A Deep Dive with Rey Ortega13 Jul 202600:37:05

Rey Ortega shares insights on artificial intelligence, its current state, misconceptions, and future challenges, sparked by a social media interaction. This episode explores the depth of AI knowledge, industry realities, and the importance of research and expertise.

keywords

Artificial Intelligence, Neural Networks, AI Industry, Tech Entrepreneurship, Deep Research, AI Costs, AI Future, Tech Industry Cycles

key topics

Current state of AI and social media misconceptions

The importance of deep research in AI

Industry challenges: costs, hardware, and market dynamics

The cycle of tech innovation and industry giants' strategies

The importance of expertise and research in AI development

sound bites

"Expand the video. Complete the post."

"Getting ready to have this conversation about AI."

"Using ChatGPT doesn't make you an AI expert."

Chapters

00:00 Introduction and Episode Overview

01:17 Rey Ortega's Personal Background and Journey

06:04 The Social Media Incident and Its Significance

09:52 Episode 20 Introduction and Focus on AI

10:35 Current Perceptions of AI on Social Media

11:42 Debunking the Myth: How Well Do We Know the Brain?

14:33 The Foundations of Neural Networks and AI Development

16:24 The Frustration with Superficial AI Knowledge

17:38 The Dangers of Overconfidence and Lack of Research

20:33 The Passion and Deep Knowledge of Early AI Engineers

25:00 The Evolution of Software Engineering and AI

29:42 Building True AI: Deterministic Solutions

32:49 The Economics and Cost of AI Development

36:10 The Misconception of Cheaper AI and Hardware Advances

41:38 The Exponential Cost of AI Processing

44:48 Future Hardware Innovations and Industry Challenges

46:23 Industry Cycles and Big Tech Strategies

50:14 Supporting Small Businesses with AI and Tech

51:02 Upcoming Guests and Future Episodes

Build An App In 15 Minutes or Less! Or Not!18 Jan 202600:03:16

If someone could teach you how to build your own apps that make you millions of dollars in 15 minutes or less, would you run to that opportunity?

While attending Podfest 2026, one of the presentations touted this capability.

So, being a software engineer for over two decades and building over 250 applications in my career, I went into that presenetation to get the facts.

My post-presentation response will shock you!

The Context Problem Most Businesses Get Wrong with AI17 Jan 202600:18:42

Summary

In this introductory episode of the AI Automation Alchemist podcast, host Rey Ortega discusses the significance of artificial intelligence and automation in business. He clarifies the distinction between AI and automation, addresses common misconceptions, and emphasizes the importance of context in AI applications. The episode also explores practical applications of AI in business workflows, customization options, and how to measure the success of AI tools. Rey encourages listeners to engage with the podcast and share their questions for future episodes.

Takeaways

  • AI and automation are distinct but complementary technologies.
  • Understanding context is crucial for effective AI implementation.
  • No business is too niche for AI; niche businesses can benefit more.
  • AI can automate repetitive tasks, freeing up time for business owners.
  • Learning the technical aspects of AI can empower business owners.
  • Key performance indicators are essential for measuring AI success.
  • Customization of AI tools is possible to fit specific workflows.
  • AI can enhance customer acquisition processes.
  • Automation can streamline operations and improve efficiency.
  • Engaging with AI experts requires understanding their jargon.

Sound bites

"AI and automation can solve repetitive tasks."

"AI can help you focus on the selling."

"Automation can be customized for my workflow."

Chapters

00:00 Introduction to AI and Automation

06:00 Understanding AI and Automation in Business

11:14 Addressing Common Misconceptions about AI

14:04 Practical Applications of AI in Business

16:57 Customization and Implementation of AI Solutions

19:49 Measuring Success with AI Tools

Keywords

AI, automation, business, technology, artificial intelligence, machine learning, workflow, customer acquisition, implementation, success metrics

Claude, ChatGPT: The Truth AI "Experts" Don't Want You To Know About Jobs05 Jul 202600:24:02

Rey Ortega discusses the realities of AI in the workforce, its capabilities, limitations, and the importance of expert involvement in AI development and deployment. He addresses common fears about AI replacing jobs and emphasizes the need for security and expertise in AI applications.

keywords

AI, artificial intelligence, jobs, automation, security, neural networks, large language models, AI safety, AI in business

key topics

AI's probabilistic nature and limitations

The role of human expertise in AI

Security concerns with AI systems

Real-world examples of AI failures

The importance of skilled AI development

Takeaways

AI is probabilistic, not deterministic, and will never be 100% accurate.

Human expertise is essential for building and maintaining secure AI systems.

AI has been used in various applications for years, including in games and physics engines.

AI failures in quality control and customer service highlight the need for human oversight.

Security and proper development practices are crucial to prevent malicious use of AI.

Sound bites

"AI doesn't have true reasoning or experience"

"AI is just a bunch of ones and zeros"

"You need an expert in AI and security"

Chapters

00:00 Introduction and overview of AI's impact on jobs

03:21 Rey Ortega introduces himself and his companies

04:44 Common fears about AI replacing jobs

05:14 Rey explains his background in software and AI

07:07 AI's history and current capabilities

08:29 Understanding large language models and transformers

10:25 Probabilistic vs deterministic AI solutions

13:48 AI's limitations in reasoning and nuance

15:36 Case study: Ford rehires human engineers

16:36 AI's lack of true reasoning and experience

20:37 Failures of AI in quality control and customer service

23:00 Security risks and malicious AI models

30:31 The importance of expert development and security in AI

31:45 Services offered by Rey Ortega for AI and automation

Resources

Grata Software - https://gratasoftware.com

Go Digital Strike - https://godigitalstrike.com

Unlocking Business Growth: Master AI Tools for Marketing Success18 Jun 202600:40:21

Rey Ortega provides an update on his podcast and discusses his recent public speaking engagements on artificial intelligence. He delves into the rise of agentic AI experts, the challenges with AI models, and the government's push for AI education. Rey also covers the fundamentals of computer science, AI sales and marketing systems, email automation, and the anatomy of a social media post. He emphasizes the importance of leveraging AI and SaaS platforms, and shares insights on upcoming presentations and events. Additionally, Rey discusses the importance of video views and engagement, the role of large language models in AI, and the balancing of work and podcasting.

Takeaways

  • Importance of understanding the complexities of agentic AI and the challenges with AI models
  • The significance of leveraging AI and SaaS platforms, and the role of large language models in AI
  • The importance of video views and engagement, and the need to balance work and podcasting

Chapters

  • 00:00 Introduction and Podcast Update
  • 05:07 Complexity of Agentic AI
  • 11:01 Value Ladder and Messaging
  • 16:16 Social Media Lead Capture and Automation
  • 21:28 Leveraging Artificial Intelligence and SaaS Platforms
  • 27:51 Triggering the Reptilian Brain on Social Media
  • 33:18 The Role of Large Language Models in AI
The Hidden Cost of AI Hype: Why Companies Get Lied To About Automation24 May 202600:41:53

Rey Ortega shares insights on AI hype, misconceptions, and practical tools for small businesses, including his experiences with public speaking, social media strategies, and AI resource management.

keywords:

AI automation, AI misconceptions, small business AI, public speaking, social media marketing, Gamma presentation tool, digital marketing, AI influencers, AI resource management

key topics:

  • AI misconceptions and hype cycle
  • Practical AI tools for small businesses
  • Influencer marketing and social media strategies
  • AI resource management and capital access
  • My personal journey with public speaking and family challenges

sound bites

"AI agents can't be put into modes"

"AI token costs won't get cheaper"

"There are no modes in AI models"

Chapters

00:00 Introduction and Personal Updates

04:31 The Current State of AI and Automation

13:43 The Role of Influencers in AI Marketing

27:21 Debunking AI Myths and Misconceptions

33:54 Leveraging AI Tools for Presentations

40:26 Conclusion and Audience Engagement

resources

Gamma Presentation Tool - https://gamma.app

Digital Strike Facebook Group - https://www.facebook.com/share/g/17ruSkscU6/

Grata Software - https://gratatech.com

AI for Small Business: BizFest Lessons, AI Agents, Automation & the “Train Track” Theory06 May 202600:43:58

In this episode of the AI Automation Alchemist Podcast, Rey Ortega breaks down a busy day speaking at BizFest on Florida’s Space Coast, where small business owners, entrepreneurs, and professionals gathered to learn practical ways to use artificial intelligence.

Rey shares the five quick AI wins he presented at the event, including writing faster emails, creating short-form video scripts, building a reusable prompt library, reviewing contracts and RFPs with AI, and generating graphics or brand imagery. He also dives into deeper conversations from the event’s AI roundtable, including agentic AI, automation triggers, AI agents, cron jobs, webhooks, and why many business owners still hit a wall when trying to use AI beyond basic prompting.

This episode also covers Rey’s “train track theory,” explaining why companies like OpenAI, Anthropic, Google, Microsoft, and X own the foundational AI models while many startups are simply building “trains” on top of those tracks. Rey also gives his honest take on whether AI will replace people, why human oversight still matters, and how small businesses can start using AI without getting lost in the hype.

If you’re a small business owner, entrepreneur, consultant, or operator trying to understand how AI and automation can actually help your business, this episode will give you practical ideas and a clearer framework.

Learn more about Grata Software:
https://gratasoftware.com

Learn more about Digital Strike:
https://godigitalstrike.com

Chapters / Timestamps

00:00 Introduction: A busy day at BizFest

01:20 About Grata Software and small business automation

04:00 What BizFest is and why SCORE matters

06:30 Speaking to small business owners about AI

08:45 The challenge of explaining AI as a software engineer

10:30 Getting cut short during the presentation

12:15 AI quick win #1: Writing faster emails

13:25 AI quick win #2: Creating short-form video content

14:50 AI quick win #3: Building a reusable prompt guide

15:55 AI quick win #4: Reviewing contracts and RFPs

17:45 Why every business needs a brand voice document

18:55 AI quick win #5: Images, graphics, and professional branding

19:51 The AI roundtable discussion

22:20 Questions about AI agents and automation

24:00 What AI agents really are

26:10 Why agentic AI still confuses many business owners

28:00 The WordPress comparison: simple tools become complex

30:00 Will AI replace people?

32:30 Why human-in-the-loop still matters

34:00 The “AI won’t replace you…” conversation

35:00 Rey’s train track theory for AI companies

37:30 Why AI wrappers are vulnerable

39:30 Cursor, Composer, and owning the coding train track

41:30 Digital Strike: AI consulting and training for small businesses

43:10 LATAM event and international AI opportunities

46:00 How to connect and become a podcast guest

47:30 Closing thoughts on AI and automation

#AIForBusiness #SmallBusinessAutomation #ArtificialIntelligence #AIAutomation #AIAgents #Entrepreneurship #GrataSoftware #DigitalStrike #PromptEngineering #BusinessGrowth

Intention Hacking AI with Max Kyllonen27 Apr 202601:18:22

AI is moving fast, but most people are still stuck at the starting line.

In this episode of the AI Automation Alchemist Podcast, Rey Ortega sits down with Max Kyllonen for a deep conversation about where AI is really headed, why most business owners are overwhelmed by it, and why the future may not be about better prompts… but better intentions.

We talk about:

  • Why AI feels “alien” to most people
  • The problem with basic prompt engineering
  • Why Max believes “intentioneering” is the next major AI skill
  • Claude vs. ChatGPT vs. Grok
  • How AI changes marketing, software, business, and decision-making
  • Why humans still matter in AI systems
  • The real danger of optimizing AI for the wrong outcome
  • How business owners can start using AI without getting overwhelmed

Max also breaks down why he teaches AI from a relationship and personality perspective first, because when AI feels like a true collaborator, people start using it differently.

If you are a business owner, entrepreneur, marketer, engineer, or just trying to understand how AI fits into your future, this conversation is for you.

Connect with Max Kyllonen

Instagram: https://www.instagram.com/a_real_max_k/
Facebook: https://www.facebook.com/max.kyllonen
Website: https://www.maxoutloud.com/
COYOU AI: https://www.coyou.ai/

Sponsored By

Grata Software: https://www.gratasoftware.com/
Digital Strike: https://godigitalstrike.com/

Chapters

00:00 Intro
00:52 Why everyone is talking about AI
01:48 Why AI feels amorphous and hard to explain
06:07 Why Max starts AI training with pen and paper
07:05 Building AI-powered marketing systems
10:04 How few people are really using AI deeply
14:00 Why AI adoption is different from the internet
17:09 Will AI create massive unemployment?
20:14 The dangerous middle period of AI disruption
27:19 Why AI may never become fully autonomous
32:40 Why intention matters more than tools
34:00 AI and the prisoner’s dilemma
36:04 Using AI as a collaborator
40:20 Max’s AI training framework
41:36 ADHD, associative thinking, and AI
47:52 The moment AI copywriting changed everything
50:26 Claude, Sonnet, Opus, and model selection
57:39 Using Grok for brainstorming
58:26 Intention defines context
01:01:16 Where intentioneering is going
01:06:49 Open-source models and local AI
01:12:10 Hybrid AI systems and local models
01:15:20 Why your intention is the real unlock
01:17:42 Where to find Max

#AI #ArtificialIntelligence #AIAutomation #PromptEngineering #ClaudeAI #ChatGPT #GrokAI #Entrepreneurship #BusinessAutomation #MarketingAutomation #FutureOfWork #AIForBusiness #SmallBusinessAI #Intentioneering #AIAgents

The Future of AI in Business Operations: A Conversation with Rob Wright 13 Apr 202600:51:43

In this episode, Rey Ortega interviews Rob Wright, a member of Waffle, a company that leverages artificial intelligence for small businesses. They discuss the challenges and opportunities in the AI industry, the distinction between AI and automation, and the impact of AI on various business functions. The conversation covers a wide range of topics related to AI, token usage, and the impact of AI on small businesses. It delves into the challenges and opportunities of AI adoption, as well as the complexities of token usage and pricing models. The discussion also explores the role of AI in small business growth and the need for a deeper understanding of AI's capabilities and limitations.

Takeaways

  • AI and automation are not synonymous; using AI does not guarantee a competitive advantage.
  • The Dunning-Kruger effect highlights the challenge of accurately assessing one's own skills and knowledge in the AI industry. Token usage and pricing models are critical considerations for businesses leveraging AI.
  • AI adoption in small businesses presents both challenges and opportunities.
  • Understanding the capabilities and limitations of AI is essential for leveraging it effectively in business growth.

sound bites

"AI and automation are not the same thing"

"Show your expertise, not just use AI tools"

"Leverage AI to level up small businesses"

resources

GoWaffle - https://gowaffle.com

OpenClaw - https://github.com/openclaw

Perplexity - https://perplexity.ai

Claude AI - https://www.anthropic.com

Cursor - https://cursor.com

guest links

LinkedIn - https://linkedin.com/in/rob-wright

Website - https://gowaffle.com

Chapters

00:00 Introduction to AI and Waffle

02:14 The Evolution of Waffle and AI Integration

04:45 Understanding AI vs Automation

10:08 The Dunning-Kruger Effect in AI Consulting

11:46 Evaluating AI Expertise and Influencers

18:58 Context Windows and AI Performance

21:12 Swarm Agents in AI Development

23:36 OpenClaw and Its Impact on AI Tools

27:45 Integrating AI Skills for Business Automation

30:14 Challenges with Token Usage in AI Tools

34:59 Pricing Models and Token Economics

39:59 Navigating the Wild West of AI Adoption

48:31 The Future of AI in Business Strategy

51:37 NEWCHAPTER

Why Perplexity Is Outsmarting ChatGPT in 202619 Mar 202601:03:32

The conversation covers the challenges faced by small businesses, the journey of Grata Software, the importance of automation and AI, the promise of Perplexity, the challenges of podcasting and AI automation, the evolution of technology in business, the complexity of new tools and technologies, the power of Perplexity in research and analysis, and an exploration of the Perplexity interface and features. The conversation delves into the capabilities of AI and agentic systems, highlighting their ability to perform complex tasks and automate processes. It also emphasizes the importance of personalization and customization in AI usage, showcasing the need for tailored solutions to specific business needs.

Takeaways

  • Small business challenges
  • AI automation and optimization
  • Perplexity and its features AI and agentic systems perform complex tasks
  • Personalization and customization are key in AI usage

Chapters

  • 00:00 Introduction to Digital Strike Hub
  • 15:51 The Evolution of Technology in Business
  • 28:18 Exploring the Perplexity Interface and Features
  • 50:18 AI and Agentic Systems
  • 56:07 Personalization and Customization
© My Podcast Data · Independent project · Data from Apple & Spotify