<![CDATA[AI Automation Alchemist]]>Practical AI for small business entrepreneurs! AI shouldn’t be overwhelming or overhyped. AI Automation Alchemist breaks the noise into actionable playbooks for small business owners and scrappy founders. We cover the headlines that matter, de-risk adoption (security, compliance, costs), and walk through real workflows for leads, service, and back-office. Informational, honest, and inspiring, so you can do less manual work and drive more growth.

]]>https://aiautomationalchemist.com/Riverside.fm (https://riverside.com)Mon, 02 Nov 2026 15:31:36 GMTMon, 01 Sep 2025 20:44:31 GMT60Rey Ortega<p>Practical AI for small business entrepreneurs! AI shouldn’t be overwhelming or overhyped. AI Automation Alchemist breaks the noise into actionable playbooks for small business owners and scrappy founders. We cover the headlines that matter, de-risk adoption (security, compliance, costs), and walk through real workflows for leads, service, and back-office. Informational, honest, and inspiring, so you can do less manual work and drive more growth.</p>episodicRey Ortegarey@grataonline.comyes<![CDATA[Building a Business Ecosystem: Lessons from Red Pro Network]]>Learn practical AI for business strategies that help you reclaim time and build stronger systems without the industry hype.

Antonio Muñiz-Olán joins the channel to discuss how he uses technology to build his community, Red Pro Network. We break down why entrepreneurship requires solid infrastructure and human connection, rather than just relying on the latest shiny object.

Antonio shares his process for bilingual prompting and how he audits content to save time. This conversation is for business owners who want to scale effectively by focusing on standards and accountability. We also explore how to use tools like Claude and ChatGPT to support real business systems, not just theory.

Subscribe for more practical business breakdowns and let us know your thoughts on using AI in your daily workflow.

Takeaways

  • AI enhances business efficiency
  • Community is vital for growth AI enhances content creation
  • Personalization is key in communication


Chapters

  • 00:00 Introduction and Background
  • 02:51 Entrepreneurial Journey and Community Building
  • 06:10 Daily Routines and Time Management
  • 08:49 Insights from the Build to Win Summit
  • 12:03 The Importance of Intentional Networking
  • 14:52 Understanding the Red Pro Network
  • 17:57 AI in Business: Opportunities and Concerns
  • 21:00 Navigating AI Tools and Language Barriers
  • 23:57 Effective Prompting Techniques for AI
  • 29:50 Embracing AI in Communication
  • 32:25 Implementing Insights from the Summit
  • 34:21 Creating Engaging Content with AI
  • 38:04 The Importance of Authentic Messaging
  • 41:02 Leveraging AI for Business Efficiency
  • 47:14 Rapid Fire AI Preferences
  • 51:00 Connecting with the Community
]]>3b66c711-a7ac-48db-b7e4-ba067861c800Thu, 01 Oct 2026 12:00:00 GMT<p>Learn practical AI for business strategies that help you reclaim time and build stronger systems without the industry hype.<br /><br />Antonio Muñiz-Olán joins the channel to discuss how he uses technology to build his community, Red Pro Network. We break down why entrepreneurship requires solid infrastructure and human connection, rather than just relying on the latest shiny object.<br /><br />Antonio shares his process for bilingual prompting and how he audits content to save time. This conversation is for business owners who want to scale effectively by focusing on standards and accountability. We also explore how to use tools like Claude and ChatGPT to support real business systems, not just theory.<br /><br />Subscribe for more practical business breakdowns and let us know your thoughts on using AI in your daily workflow.</p><p>Takeaways</p><ul><li>AI enhances business efficiency</li><li>Community is vital for growth AI enhances content creation</li><li>Personalization is key in communication</li></ul><p><br /></p><p>Chapters</p><ul><li>00:00 Introduction and Background</li><li>02:51 Entrepreneurial Journey and Community Building</li><li>06:10 Daily Routines and Time Management</li><li>08:49 Insights from the Build to Win Summit</li><li>12:03 The Importance of Intentional Networking</li><li>14:52 Understanding the Red Pro Network</li><li>17:57 AI in Business: Opportunities and Concerns</li><li>21:00 Navigating AI Tools and Language Barriers</li><li>23:57 Effective Prompting Techniques for AI</li><li>29:50 Embracing AI in Communication</li><li>32:25 Implementing Insights from the Summit</li><li>34:21 Creating Engaging Content with AI</li><li>38:04 The Importance of Authentic Messaging</li><li>41:02 Leveraging AI for Business Efficiency</li><li>47:14 Rapid Fire AI Preferences</li><li>51:00 Connecting with the Community</li></ul>no00:48:09124Building a Business Ecosystem: Lessons from Red Pro Networkfull<![CDATA[Two Stages, One Week, AI News and More...]]>Two stages, one week, AI news and more

Rey Ortega breaks down a packed week that moved from live AI news to two very different stages, one in healthcare and one for entrepreneurs. The episode matters because it connects current AI product shifts with real-world lessons about data access, culture, security, and how small businesses can actually use AI without the hype. In this episode, Rey shares what he learned from an AI Med panel, a Built to Win Summit presentation, and a due diligence process that revealed how investors evaluate AI-built businesses. He also covers recent AI product updates from Anthropic, OpenAI, and Meta, then closes with a practical reminder that business owners should treat themselves as the brand.

00:00 - Going live and setting up the episode
02:43 - One week, two stages, and why the lessons matter
04:39 - Anthropic backs off a Sonnet 5 price hike
06:20 - Why long session access is a security risk
08:44 - Meta AI as an ad analyst for businesses

10:23 - AI Med Conference: the panel and the room

11:37 - Dr. Anthony Chang and the case for medical AI

12:11 - Digital twins and using lifelong medical data

15:19 - Why Rey is cautious about AI-only diagnosis

17:22 - AI vision and pattern recognition beyond text

19:21 - The panel dynamics and healthcare data ownership

21:14 - Why culture and EHR control slow healthcare innovation

22:52 - Small businesses, Fortune 500s, and technical capability

25:29 - Venture panel: wearables are saturated

27:27 - Built to Win Summit and the napkin idea

29:29 - Jeff Hoffman and blue sky meetings

30:01 - Josh Pies on AI video and knowing the customer

31:46 - Running into an old professor and the lesson of self-promotion 37:39 - Who Not How and shifting from execution to leverage

40:25 - A mastermind connection turns into a real opportunity

44:22 - Due diligence, investor skepticism, and AI-generated documents 47:11 - Why not knowing your own system is a deal breaker

49:04 - Enterprise AI contracts, data retention, and liability

50:19 - Open weight models, quantization, and response speed

52:32 - Imposter syndrome and why experts need to speak up

  • Reevaluate whether your business is overusing AI-generated documents without human validation.
  • Check whether your AI tools are being used through enterprise contracts where data retention and training limits are clearer.
  • If you use AI in marketing, define the target customer before creating content or video.
  • Look for one task you should delegate to a “who” instead of forcing yourself to be the “how.”
  • Show up more consistently with your expertise, even if imposter syndrome makes that feel uncomfortable.
]]>13ed0010-3678-4afa-b1e3-49c1f50abfe9Wed, 02 Sep 2026 00:21:05 GMT<h5>Two stages, one week, AI news and more</h5><p>Rey Ortega breaks down a packed week that moved from live AI news to two very different stages, one in healthcare and one for entrepreneurs. The episode matters because it connects current AI product shifts with real-world lessons about data access, culture, security, and how small businesses can actually use AI without the hype. In this episode, Rey shares what he learned from an AI Med panel, a Built to Win Summit presentation, and a due diligence process that revealed how investors evaluate AI-built businesses. He also covers recent AI product updates from Anthropic, OpenAI, and Meta, then closes with a practical reminder that business owners should treat themselves as the brand.</p><p>00:00 - Going live and setting up the episode <br />02:43 - One week, two stages, and why the lessons matter <br />04:39 - Anthropic backs off a Sonnet 5 price hike <br />06:20 - Why long session access is a security risk <br />08:44 - Meta AI as an ad analyst for businesses </p><p>10:23 - AI Med Conference: the panel and the room </p><p>11:37 - Dr. Anthony Chang and the case for medical AI </p><p>12:11 - Digital twins and using lifelong medical data </p><p>15:19 - Why Rey is cautious about AI-only diagnosis </p><p>17:22 - AI vision and pattern recognition beyond text </p><p>19:21 - The panel dynamics and healthcare data ownership </p><p>21:14 - Why culture and EHR control slow healthcare innovation </p><p>22:52 - Small businesses, Fortune 500s, and technical capability </p><p>25:29 - Venture panel: wearables are saturated </p><p>27:27 - Built to Win Summit and the napkin idea </p><p>29:29 - Jeff Hoffman and blue sky meetings </p><p>30:01 - Josh Pies on AI video and knowing the customer </p><p>31:46 - Running into an old professor and the lesson of self-promotion 37:39 - Who Not How and shifting from execution to leverage </p><p>40:25 - A mastermind connection turns into a real opportunity </p><p>44:22 - Due diligence, investor skepticism, and AI-generated documents 47:11 - Why not knowing your own system is a deal breaker </p><p>49:04 - Enterprise AI contracts, data retention, and liability </p><p>50:19 - Open weight models, quantization, and response speed </p><p>52:32 - Imposter syndrome and why experts need to speak up</p><p></p><ul><li>Reevaluate whether your business is overusing AI-generated documents without human validation.</li><li>Check whether your AI tools are being used through enterprise contracts where data retention and training limits are clearer.</li><li>If you use AI in marketing, define the target customer before creating content or video.</li><li>Look for one task you should delegate to a “who” instead of forcing yourself to be the “how.”</li><li>Show up more consistently with your expertise, even if imposter syndrome makes that feel uncomfortable.</li></ul>no00:45:03124Two Stages, One Week, AI News and More...full<![CDATA[The Truth About AI, Imposter Syndrome & Building a Business]]>Can you be successful and still experience imposter syndrome?

Absolutely.

In this episode of the AI Automation Alchemist Podcast, Rey Ortega shares the story behind a major software and AI implementation that recently went into production after nearly two years of development.

What started as a technology modernization project expanded into a much larger AI initiative — including a prototype that achieved approximately 98% accuracy and an AI-assisted development workflow that helped the team complete work originally planned across multiple project phases.

But the bigger lesson wasn't about software.

It was about mindset.

Even after years of building software, implementing artificial intelligence, helping businesses improve operations, and successfully delivering projects, it's still possible to question yourself when you compare your success to everyone else's.

Rey discusses why entrepreneurs, consultants, developers, executives, and experts can struggle with imposter syndrome — and why evidence from your own work matters more than comparing yourself to someone else's visibility online.

He also shares his journey into public speaking, from learning speaking frameworks and finding mentors to preparing to speak at the Built to Win Summit in Orlando.

Chapters / Timestamps

00:00 — Getting the podcast running
00:56 — Welcome to the AI Automation Alchemist Podcast
02:00 — Getting sick and experimenting with AI-generated videos
04:00 — Surviving Florida without air conditioning
07:20 — Why Grata Software sponsors the podcast
08:45 — The AI project that took nearly two years
10:20 — Using LLMs and n8n to reach 98% accuracy
12:00 — How AI coding accelerated development
13:30 — Hiring developers in the age of AI
15:10 — What Rey looks for when hiring
16:00 — Completing four project phases during phase one
17:30 — Delivering the system into production
18:30 — Why successful people still get imposter syndrome
20:00 — Stop comparing your success to other companies
21:00 — The entrepreneur mindset problem
22:20 — Why confidence matters when investing in your business
24:45 — Building confidence through helping other people succeed
25:30 — Rey's journey into public speaking
27:00 — Finding your first speaking opportunities
28:00 — Learning from Russell Brunson and the Perfect Webinar
29:35 — Speaking at the Built to Win Summit
31:30 — Digital Strike: Understanding your ideal customers
33:50 — How large language models actually work
34:30 — Tokens explained
35:20 — Embeddings and numerical representations
36:00 — Why AI predicts the next word
36:50 — Parameters and improving AI models
38:15 — Are AI models reaching diminishing returns?
39:00 — Join the Digital Strike community
39:45 — Final thoughts

👉 Join the Digital Strike Facebook Group
Get AI and automation resources created specifically for small and medium-sized businesses.

👉 Built to Win Summit — Orlando
Rey will be speaking about using artificial intelligence to identify your target niche, understand your ideal customers, create messaging that resonates, and develop offers designed to convert.

👉 Subscribe to the AI Automation Alchemist Podcast
For practical conversations about artificial intelligence, automation, entrepreneurship, software development, and building businesses with AI.

]]>f05eec0e-7a31-441e-a9e8-a532295cc3b2Mon, 10 Aug 2026 07:51:51 GMT<h1>Can you be successful and still experience <b>imposter syndrome</b>?</h1><p>Absolutely.</p><p>In this episode of the <b>AI Automation Alchemist Podcast</b>, Rey Ortega shares the story behind a major software and AI implementation that recently went into production after nearly two years of development.</p><p>What started as a technology modernization project expanded into a much larger AI initiative — including a prototype that achieved approximately <b>98% accuracy</b> and an AI-assisted development workflow that helped the team complete work originally planned across multiple project phases.</p><p>But the bigger lesson wasn't about software.</p><p>It was about <b>mindset</b>.</p><p>Even after years of building software, implementing artificial intelligence, helping businesses improve operations, and successfully delivering projects, it's still possible to question yourself when you compare your success to everyone else's.</p><p>Rey discusses why entrepreneurs, consultants, developers, executives, and experts can struggle with imposter syndrome — and why evidence from your own work matters more than comparing yourself to someone else's visibility online.</p><p>He also shares his journey into public speaking, from learning speaking frameworks and finding mentors to preparing to speak at the <b>Built to Win Summit</b> in Orlando.</p><h1>Chapters / Timestamps</h1><p>00:00 — Getting the podcast running<br />00:56 — Welcome to the AI Automation Alchemist Podcast<br />02:00 — Getting sick and experimenting with AI-generated videos<br />04:00 — Surviving Florida without air conditioning<br />07:20 — Why Grata Software sponsors the podcast<br />08:45 — The AI project that took nearly two years<br />10:20 — Using LLMs and n8n to reach 98% accuracy<br />12:00 — How AI coding accelerated development<br />13:30 — Hiring developers in the age of AI<br />15:10 — What Rey looks for when hiring<br />16:00 — Completing four project phases during phase one<br />17:30 — Delivering the system into production<br />18:30 — Why successful people still get imposter syndrome<br />20:00 — Stop comparing your success to other companies<br />21:00 — The entrepreneur mindset problem<br />22:20 — Why confidence matters when investing in your business<br />24:45 — Building confidence through helping other people succeed<br />25:30 — Rey's journey into public speaking<br />27:00 — Finding your first speaking opportunities<br />28:00 — Learning from Russell Brunson and the Perfect Webinar<br />29:35 — Speaking at the Built to Win Summit<br />31:30 — Digital Strike: Understanding your ideal customers<br />33:50 — How large language models actually work<br />34:30 — Tokens explained<br />35:20 — Embeddings and numerical representations<br />36:00 — Why AI predicts the next word<br />36:50 — Parameters and improving AI models<br />38:15 — Are AI models reaching diminishing returns?<br />39:00 — Join the Digital Strike community<br />39:45 — Final thoughts</p><p>👉 <a rel="noopener noreferrer nofollow" href="https://www.facebook.com/groups/1289616113069097" target="_blank"><b>Join the Digital Strike Facebook Group</b></a><br />Get AI and automation resources created specifically for small and medium-sized businesses.</p><p>👉 <a rel="noopener noreferrer nofollow" href="https://www.eventbrite.com/e/built-to-win-summit-aug-28-tickets-1994872480289" target="_blank"><b>Built to Win Summit — Orlando</b></a><br />Rey will be speaking about using artificial intelligence to identify your target niche, understand your ideal customers, create messaging that resonates, and develop offers designed to convert.</p><p>👉 <a rel="noopener noreferrer nofollow" href="https://www.youtube.com/playlist?list=PL7gzh57JFddNsXSY8NLEsZepXWCoh3EH6" target="_blank"><b>Subscribe to the AI Automation Alchemist Podcast</b></a><br />For practical conversations about artificial intelligence, automation, entrepreneurship, software development, and building businesses with AI.</p>no00:29:50123The Truth About AI, Imposter Syndrome & Building a Businessfull<![CDATA[AI agents aren’t the future: They’re an expensive solution to a problem you don’t have]]> 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

]]>c913fc5a-7f2f-4470-a6aa-f0b7e1a2ea7cTue, 28 Jul 2026 14:42:59 GMT<p> content type</p><p>Interview</p><p> primary goal</p><p>Educational</p><p> summary</p><p>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.</p><p> keywords</p><p>AI, agentic AI, artificial intelligence, automation, business automation, AI models, AI tools, AI systems, AI in business, AI automation</p><p> key topics</p><p>Difference between AI and agentic AI</p><p>Cost implications of AI systems</p><p>When to use AI agents vs traditional AI</p><p>Building multi-agent workflows for software development</p><p>Importance of human oversight in AI systems</p><p> takeaways</p><p>AI models already include brain, memory, and tools; the autonomy is what differentiates agentic AI.</p><p>Overusing AI agents can be costly and unnecessary for many business processes.</p><p>Human oversight remains crucial to ensure AI outputs are accurate and appropriate.</p><p>Building multi-agent systems can optimize complex workflows like software development.</p><p>Choosing the right level of AI automation depends on the specific business need and budget.</p><p> guest name</p><p>Rey Ortega</p><p>Titles</p><p>Understanding Agentic AI: When Human Oversight Matters</p><p>AI vs Agentic AI: What Your Business Needs to Know</p><p> sound bites</p><p>"Agentic AI can be overkill for many business processes."</p><p>"Models already come with brain, memory, and tools."</p><p>"Autonomy is what truly sets agentic AI apart."</p><p>Chapters</p><p>00:00 Introduction to AI Agentic Systems</p><p>00:30 The Client Story and Overkill of Agentic AI</p><p>01:57 Simplifying Business Processes with AI</p><p>04:02 Why Overusing Agents Can Be Costly</p><p>06:54 Difference Between AI and Agentic AI</p><p>10:07 Building Multi-Agent Workflows for Software Development</p><p>13:09 The Human Element in AI Oversight</p><p>17:01 Skills and Hierarchies in AI Systems</p><p>19:56 Cost and Complexity of Agentic AI</p><p>23:04 How AI Models Work: Brain, Memory, and Tools</p><p>27:56 Autonomy in Agentic AI</p><p>29:59 Recap and Final Thoughts on AI Implementation</p><p> resources</p><p>Claude AI - <a rel="noopener noreferrer nofollow" href="https://www.anthropic.com/claude" target="_blank">https://www.anthropic.com/claude</a></p><p>ChatGPT by OpenAI - <a rel="noopener noreferrer nofollow" href="https://chat.openai.com/" target="_blank">https://chat.openai.com/</a></p><p>Eleven Labs - <a rel="noopener noreferrer nofollow" href="https://elevenlabs.io/" target="_blank">https://elevenlabs.io/</a></p><p>Go Digital Strike - <a rel="noopener noreferrer nofollow" href="https://godigitalstrike.com/" target="_blank">https://godigitalstrike.com/</a></p><p> guest links</p><p><a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/aiautomationalchemist/" target="_blank">LinkedIn - https://linkedin.com/in/reyortega</a></p><p>Twitter - <a rel="noopener noreferrer nofollow" href="https://x.com/theereyortega" target="_blank">https://twitter.com/reyortega</a></p><p></p>no00:33:43122AI agents aren’t the future: They’re an expensive solution to a problem you don’t havefull<![CDATA[3 Zero-Budget AI Marketing Moves That Can Save Small Businesses 20+ Hours a Week]]>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
]]>d4934988-1adb-4864-905d-41b85a0855e8Mon, 20 Jul 2026 06:30:00 GMT<p>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.</p><p></p><p>Takeaways</p><ul><li>AI Marketing for Beginners</li><li>The Role of AI Agents in Business Operations Sales and marketing are crucial for business success</li><li>AI can be leveraged to automate marketing tasks and save time</li><li>Human judgment is the differentiator in marketing and sales</li></ul><p></p><p>Chapters</p><ul><li>00:00 Introduction and Podcast Episode</li><li>03:04 Digital Strike Program and AI Marketing</li><li>11:05 AI Agents in Business Operations</li><li>22:11 Successful Launch of Software Application</li><li>39:05 The Importance of Marketing and Sales</li><li>40:01 Building a Company on Traditional Sales and Marketing</li><li>41:27 Frustration with Ineffective Marketing Companies</li><li>44:49 Self-Education in AI-Driven Marketing</li><li>50:27 The Role of Human Judgment in Marketing</li></ul>no00:49:271213 Zero-Budget AI Marketing Moves That Can Save Small Businesses 20+ Hours a Weekfull<![CDATA[Unmasking AI Myths: A Deep Dive with Rey Ortega]]>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

]]>b6f32f40-060d-4903-a7ea-e5d897d545fbMon, 13 Jul 2026 06:00:00 GMT<p>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.</p><p></p><p>keywords</p><p>Artificial Intelligence, Neural Networks, AI Industry, Tech Entrepreneurship, Deep Research, AI Costs, AI Future, Tech Industry Cycles</p><p></p><p>key topics</p><p>Current state of AI and social media misconceptions</p><p>The importance of deep research in AI</p><p>Industry challenges: costs, hardware, and market dynamics</p><p>The cycle of tech innovation and industry giants' strategies</p><p>The importance of expertise and research in AI development</p><p></p><p> sound bites</p><p>"Expand the video. Complete the post."</p><p>"Getting ready to have this conversation about AI."</p><p>"Using ChatGPT doesn't make you an AI expert."</p><p></p><p>Chapters</p><p>00:00 Introduction and Episode Overview</p><p>01:17 Rey Ortega's Personal Background and Journey</p><p>06:04 The Social Media Incident and Its Significance</p><p>09:52 Episode 20 Introduction and Focus on AI</p><p>10:35 Current Perceptions of AI on Social Media</p><p>11:42 Debunking the Myth: How Well Do We Know the Brain?</p><p>14:33 The Foundations of Neural Networks and AI Development</p><p>16:24 The Frustration with Superficial AI Knowledge</p><p>17:38 The Dangers of Overconfidence and Lack of Research</p><p>20:33 The Passion and Deep Knowledge of Early AI Engineers</p><p>25:00 The Evolution of Software Engineering and AI</p><p>29:42 Building True AI: Deterministic Solutions</p><p>32:49 The Economics and Cost of AI Development</p><p>36:10 The Misconception of Cheaper AI and Hardware Advances</p><p>41:38 The Exponential Cost of AI Processing</p><p>44:48 Future Hardware Innovations and Industry Challenges</p><p>46:23 Industry Cycles and Big Tech Strategies</p><p>50:14 Supporting Small Businesses with AI and Tech</p><p>51:02 Upcoming Guests and Future Episodes</p>no00:37:05120Unmasking AI Myths: A Deep Dive with Rey Ortegafull<![CDATA[Claude, ChatGPT: The Truth AI "Experts" Don't Want You To Know About Jobs]]>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

]]>246cf2e4-9450-46bf-a881-0c5b426e15b0Sun, 05 Jul 2026 05:24:02 GMT<p>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.</p><p> </p><p>keywords</p><p>AI, artificial intelligence, jobs, automation, security, neural networks, large language models, AI safety, AI in business</p><p></p><p>key topics</p><p>AI's probabilistic nature and limitations</p><p>The role of human expertise in AI</p><p>Security concerns with AI systems</p><p>Real-world examples of AI failures</p><p>The importance of skilled AI development</p><p></p><p>Takeaways</p><p>AI is probabilistic, not deterministic, and will never be 100% accurate.</p><p>Human expertise is essential for building and maintaining secure AI systems.</p><p>AI has been used in various applications for years, including in games and physics engines.</p><p>AI failures in quality control and customer service highlight the need for human oversight.</p><p>Security and proper development practices are crucial to prevent malicious use of AI.</p><p></p><p>Sound bites</p><p>"AI doesn't have true reasoning or experience"</p><p>"AI is just a bunch of ones and zeros"</p><p>"You need an expert in AI and security"</p><p></p><p>Chapters</p><p>00:00 Introduction and overview of AI's impact on jobs</p><p>03:21 Rey Ortega introduces himself and his companies</p><p>04:44 Common fears about AI replacing jobs</p><p>05:14 Rey explains his background in software and AI</p><p>07:07 AI's history and current capabilities</p><p>08:29 Understanding large language models and transformers</p><p>10:25 Probabilistic vs deterministic AI solutions</p><p>13:48 AI's limitations in reasoning and nuance</p><p>15:36 Case study: Ford rehires human engineers</p><p>16:36 AI's lack of true reasoning and experience</p><p>20:37 Failures of AI in quality control and customer service</p><p>23:00 Security risks and malicious AI models</p><p>30:31 The importance of expert development and security in AI</p><p>31:45 Services offered by Rey Ortega for AI and automation</p><p></p><p>Resources</p><p>Grata Software - <a rel="noopener noreferrer nofollow" href="https://gratasoftware.com" target="_blank">https://gratasoftware.com</a></p><p>Go Digital Strike - <a rel="noopener noreferrer nofollow" href="https://godigitalstrike.com" target="_blank">https://godigitalstrike.com</a></p><p></p><p></p>no00:24:02119Claude, ChatGPT: The Truth AI "Experts" Don't Want You To Know About Jobsfull<![CDATA[Unlocking Business Growth: Master AI Tools for Marketing Success]]>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
]]>d27ea41c-71f1-44dd-9a63-d87a165c1f8fThu, 18 Jun 2026 04:04:31 GMT<p>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.</p><p></p><p>Takeaways</p><ul><li>Importance of understanding the complexities of agentic AI and the challenges with AI models</li><li>The significance of leveraging AI and SaaS platforms, and the role of large language models in AI</li><li>The importance of video views and engagement, and the need to balance work and podcasting</li></ul><p></p><p>Chapters</p><ul><li>00:00 Introduction and Podcast Update</li><li>05:07 Complexity of Agentic AI</li><li>11:01 Value Ladder and Messaging</li><li>16:16 Social Media Lead Capture and Automation</li><li>21:28 Leveraging Artificial Intelligence and SaaS Platforms</li><li>27:51 Triggering the Reptilian Brain on Social Media</li><li>33:18 The Role of Large Language Models in AI</li></ul>no00:40:21118Unlocking Business Growth: Master AI Tools for Marketing Successfull<![CDATA[The Hidden Cost of AI Hype: Why Companies Get Lied To About Automation]]>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

]]>1762a13e-e821-4e8c-a5c4-638649e2301aSun, 24 May 2026 21:00:00 GMT<p>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.</p><p></p><p>keywords:</p><p>AI automation, AI misconceptions, small business AI, public speaking, social media marketing, Gamma presentation tool, digital marketing, AI influencers, AI resource management</p><p></p><p>key topics:</p><ul><li>AI misconceptions and hype cycle</li><li>Practical AI tools for small businesses</li><li>Influencer marketing and social media strategies</li><li>AI resource management and capital access</li><li>My personal journey with public speaking and family challenges<p></p></li></ul><p>sound bites</p><p>"AI agents can't be put into modes"</p><p>"AI token costs won't get cheaper"</p><p>"There are no modes in AI models"</p><p></p><p>Chapters</p><p>00:00 Introduction and Personal Updates</p><p>04:31 The Current State of AI and Automation</p><p>13:43 The Role of Influencers in AI Marketing</p><p>27:21 Debunking AI Myths and Misconceptions</p><p>33:54 Leveraging AI Tools for Presentations</p><p>40:26 Conclusion and Audience Engagement</p><p></p><p>resources</p><p>Gamma Presentation Tool - <a rel="noopener noreferrer nofollow" href="https://gamma.app" target="_blank">https://gamma.app</a></p><p>Digital Strike Facebook Group - <a rel="noopener noreferrer nofollow" href="https://www.facebook.com/share/g/17ruSkscU6/" target="_blank">https://www.facebook.com/share/g/17ruSkscU6/</a></p><p>Grata Software - <a rel="noopener noreferrer nofollow" href="https://www.gratasoftware.com" target="_blank">https://gratatech.com</a></p><p></p>no00:41:53117The Hidden Cost of AI Hype: Why Companies Get Lied To About Automationfull<![CDATA[AI for Small Business: BizFest Lessons, AI Agents, Automation & the “Train Track” Theory]]>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

]]>7a529181-4435-44ca-850a-044514475496Wed, 06 May 2026 22:33:01 GMT<p>In this episode of the <b>AI Automation Alchemist Podcast</b>, Rey Ortega breaks down a busy day speaking at <b>BizFest on Florida’s Space Coast</b>, where small business owners, entrepreneurs, and professionals gathered to learn practical ways to use artificial intelligence.</p><p>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.</p><p>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.</p><p>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.</p><p></p><p>Learn more about Grata Software:<br /><a rel="noopener noreferrer nofollow" href="https://gratasoftware.com" target="_blank">https://gratasoftware.com</a></p><p>Learn more about Digital Strike:<br /><a rel="noopener noreferrer nofollow" href="https://godigitalstrike.com" target="_blank">https://godigitalstrike.com</a></p><h1>Chapters / Timestamps</h1><p>00:00 Introduction: A busy day at BizFest</p><p>01:20 About Grata Software and small business automation</p><p>04:00 What BizFest is and why SCORE matters</p><p>06:30 Speaking to small business owners about AI</p><p>08:45 The challenge of explaining AI as a software engineer</p><p>10:30 Getting cut short during the presentation</p><p>12:15 AI quick win #1: Writing faster emails</p><p>13:25 AI quick win #2: Creating short-form video content</p><p>14:50 AI quick win #3: Building a reusable prompt guide</p><p>15:55 AI quick win #4: Reviewing contracts and RFPs</p><p>17:45 Why every business needs a brand voice document</p><p>18:55 AI quick win #5: Images, graphics, and professional branding</p><p>19:51 The AI roundtable discussion</p><p>22:20 Questions about AI agents and automation</p><p>24:00 What AI agents really are</p><p>26:10 Why agentic AI still confuses many business owners</p><p>28:00 The WordPress comparison: simple tools become complex</p><p>30:00 Will AI replace people?</p><p>32:30 Why human-in-the-loop still matters</p><p>34:00 The “AI won’t replace you…” conversation</p><p>35:00 Rey’s train track theory for AI companies</p><p>37:30 Why AI wrappers are vulnerable</p><p>39:30 Cursor, Composer, and owning the coding train track</p><p>41:30 Digital Strike: AI consulting and training for small businesses</p><p>43:10 LATAM event and international AI opportunities</p><p>46:00 How to connect and become a podcast guest</p><p>47:30 Closing thoughts on AI and automation</p><p></p><p>#AIForBusiness #SmallBusinessAutomation #ArtificialIntelligence #AIAutomation #AIAgents #Entrepreneurship #GrataSoftware #DigitalStrike #PromptEngineering #BusinessGrowth</p>yes00:43:58116AI for Small Business: BizFest Lessons, AI Agents, Automation & the “Train Track” Theoryfull<![CDATA[Intention Hacking AI with Max Kyllonen]]>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

]]>5f5b47c7-89c5-4465-ba81-fa3f76d08a43Mon, 27 Apr 2026 02:58:01 GMT<p>AI is moving fast, but most people are still stuck at the starting line.</p><p>In this episode of the <b>AI Automation Alchemist Podcast</b>, Rey Ortega sits down with <b>Max Kyllonen</b> 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.</p><p>We talk about:</p><ul><li>Why AI feels “alien” to most people</li><li>The problem with basic prompt engineering</li><li>Why Max believes “intentioneering” is the next major AI skill</li><li>Claude vs. ChatGPT vs. Grok</li><li>How AI changes marketing, software, business, and decision-making</li><li>Why humans still matter in AI systems</li><li>The real danger of optimizing AI for the wrong outcome</li><li>How business owners can start using AI without getting overwhelmed</li></ul><p>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.</p><p>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.</p><h3>Connect with Max Kyllonen</h3><p>Instagram: <a rel="noopener noreferrer nofollow" href="https://www.instagram.com/a_real_max_k/" target="_blank">https://www.instagram.com/a_real_max_k/</a><br />Facebook: <a rel="noopener noreferrer nofollow" href="https://www.facebook.com/max.kyllonen" target="_blank">https://www.facebook.com/max.kyllonen</a><br />Website: <a rel="noopener noreferrer nofollow" href="https://www.maxoutloud.com/" target="_blank">https://www.maxoutloud.com/</a><br />COYOU AI: <a rel="noopener noreferrer nofollow" href="https://www.coyou.ai/" target="_blank">https://www.coyou.ai/</a></p><h3>Sponsored By</h3><p>Grata Software: <a rel="noopener noreferrer nofollow" href="https://www.gratasoftware.com/" target="_blank">https://www.gratasoftware.com/</a><br />Digital Strike: <a rel="noopener noreferrer nofollow" href="https://godigitalstrike.com/" target="_blank">https://godigitalstrike.com/</a></p><h3>Chapters</h3><p>00:00 Intro<br />00:52 Why everyone is talking about AI<br />01:48 Why AI feels amorphous and hard to explain<br />06:07 Why Max starts AI training with pen and paper<br />07:05 Building AI-powered marketing systems<br />10:04 How few people are really using AI deeply<br />14:00 Why AI adoption is different from the internet<br />17:09 Will AI create massive unemployment?<br />20:14 The dangerous middle period of AI disruption<br />27:19 Why AI may never become fully autonomous<br />32:40 Why intention matters more than tools<br />34:00 AI and the prisoner’s dilemma<br />36:04 Using AI as a collaborator<br />40:20 Max’s AI training framework<br />41:36 ADHD, associative thinking, and AI<br />47:52 The moment AI copywriting changed everything<br />50:26 Claude, Sonnet, Opus, and model selection<br />57:39 Using Grok for brainstorming<br />58:26 Intention defines context<br />01:01:16 Where intentioneering is going<br />01:06:49 Open-source models and local AI<br />01:12:10 Hybrid AI systems and local models<br />01:15:20 Why your intention is the real unlock<br />01:17:42 Where to find Max</p><p>#AI #ArtificialIntelligence #AIAutomation #PromptEngineering #ClaudeAI #ChatGPT #GrokAI #Entrepreneurship #BusinessAutomation #MarketingAutomation #FutureOfWork #AIForBusiness #SmallBusinessAI #Intentioneering #AIAgents</p><p></p>yes01:18:22115Intention Hacking AI with Max Kyllonenfull<![CDATA[The Future of AI in Business Operations: A Conversation with Rob Wright ]]>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

]]>9e427d6d-4e6d-4c05-bade-a05d75178dafMon, 13 Apr 2026 07:50:57 GMT<p>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.</p><p></p><p>Takeaways</p><ul><li>AI and automation are not synonymous; using AI does not guarantee a competitive advantage.</li><li>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.</li><li>AI adoption in small businesses presents both challenges and opportunities.</li><li>Understanding the capabilities and limitations of AI is essential for leveraging it effectively in business growth.</li></ul><p></p><p>sound bites</p><p>"AI and automation are not the same thing"</p><p>"Show your expertise, not just use AI tools"</p><p>"Leverage AI to level up small businesses"</p><p></p><p>resources</p><p>GoWaffle - <a rel="noopener noreferrer nofollow" href="https://gowaffle.com" target="_blank">https://gowaffle.com</a></p><p>OpenClaw - <a rel="noopener noreferrer nofollow" href="https://github.com/openclaw" target="_blank">https://github.com/openclaw</a></p><p>Perplexity - <a rel="noopener noreferrer nofollow" href="https://perplexity.ai" target="_blank">https://perplexity.ai</a></p><p>Claude AI - <a rel="noopener noreferrer nofollow" href="https://www.anthropic.com" target="_blank">https://www.anthropic.com</a></p><p>Cursor - <a rel="noopener noreferrer nofollow" href="https://cursor.com" target="_blank">https://cursor.com</a></p><p></p><p>guest links</p><p>LinkedIn - <a rel="noopener noreferrer nofollow" href="https://linkedin.com/in/rob-wright" target="_blank">https://linkedin.com/in/rob-wright</a></p><p>Website - <a rel="noopener noreferrer nofollow" href="https://gowaffle.com" target="_blank">https://gowaffle.com</a></p><p></p><p>Chapters</p><p>00:00 Introduction to AI and Waffle</p><p>02:14 The Evolution of Waffle and AI Integration</p><p>04:45 Understanding AI vs Automation</p><p>10:08 The Dunning-Kruger Effect in AI Consulting</p><p>11:46 Evaluating AI Expertise and Influencers</p><p>18:58 Context Windows and AI Performance</p><p>21:12 Swarm Agents in AI Development</p><p>23:36 OpenClaw and Its Impact on AI Tools</p><p>27:45 Integrating AI Skills for Business Automation</p><p>30:14 Challenges with Token Usage in AI Tools</p><p>34:59 Pricing Models and Token Economics</p><p>39:59 Navigating the Wild West of AI Adoption</p><p>48:31 The Future of AI in Business Strategy</p><p>51:37 NEWCHAPTER</p>no00:51:43114The Future of AI in Business Operations: A Conversation with Rob Wright full<![CDATA[Why Perplexity Is Outsmarting ChatGPT in 2026]]>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
]]>54c367b0-835f-4f6e-95a4-558a22d49e8aThu, 19 Mar 2026 12:00:00 GMT<p>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.</p><p></p><p>Takeaways</p><ul><li>Small business challenges</li><li>AI automation and optimization</li><li>Perplexity and its features AI and agentic systems perform complex tasks</li><li>Personalization and customization are key in AI usage</li></ul><p></p><p>Chapters</p><ul><li>00:00 Introduction to Digital Strike Hub</li><li>15:51 The Evolution of Technology in Business</li><li>28:18 Exploring the Perplexity Interface and Features</li><li>50:18 AI and Agentic Systems</li><li>56:07 Personalization and Customization</li></ul>no01:03:32113Why Perplexity Is Outsmarting ChatGPT in 2026full<![CDATA[The Truth About AI in Business: Myths, Risks, and Strategies]]>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

]]>00e43ae6-9f32-4ed5-be7d-d0570216aa06Thu, 12 Mar 2026 01:38:18 GMT<p>AI is everywhere right now, but what actually works in business and what is just hype?</p><p>In this episode, <b>Kyler Cheatham</b> 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.</p><p>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.</p><p>If you want a practical look at AI, automation, business strategy, and implementation risks, this episode gives you a grounded perspective without the hype.</p><h3>In this episode:</h3><ul><li>The truth about AI and automation in business</li><li>Common myths and misconceptions around implementation</li><li>Why strategy matters more than trend-chasing</li><li>Risks involving cybersecurity, contracts, and SaaS tools</li><li>AI agents and where they fall short</li><li>Small business automation challenges</li><li>How to focus on speed to value</li><li>Choosing the right technology for real business outcomes</li></ul><h3>Guest:</h3><p><b>Kyler Cheatham</b></p><h3>Guest Links:</h3><p>TikTok: <a rel="noopener noreferrer nofollow" href="https://www.tiktok.com/@kylercheatham" target="_blank">https://www.tiktok.com/@kylercheatham</a><br />LinkedIn: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/kylercheatham" target="_blank">https://www.linkedin.com/in/kylercheatham</a><br />Website: <a rel="noopener noreferrer nofollow" href="https://confluential.com/" target="_blank">https://confluential.com/</a></p><p></p><p>#AI #Automation #BusinessStrategy #ArtificialIntelligence #Cybersecurity #SmallBusiness #EnterpriseTechnology #AIAgents #TechImplementation #BusinessGrowth</p>no00:49:31112The Truth About AI in Business: Myths, Risks, and Strategiesfull<![CDATA[Unlock Business Efficiency with Claude: Your AI Assistant]]>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

]]>1f1c649d-fe8c-42ea-b020-637d864bcb7aTue, 24 Feb 2026 06:14:55 GMT<p>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! <br /><br />In this video, we dive deep into the capabilities of Claude and how it can transform your daily workflow. Here’s what we cover:<br /></p><p><b>Key Points:</b></p><ul><li><b>Understanding the Difference</b> (0:00): The crucial distinction between working in your business versus on your business.</li><li><b>Introduction to Claude</b> (2:10): An overview of Claude and what makes it a powerful business tool.</li><li><b>Three Major Ways Claude Can Help Your Business</b> (5:45):</li><li><b>Task Automation</b>: How Claude can take over repetitive tasks like email sorting and summarization.</li><li><b>Data Synthesis</b>: Learn how Claude can pull together information from multiple sources to create insightful reports.</li><li><b>Marketing Consistency</b>: Utilizing Claude to maintain a consistent marketing message and customer engagement.</li><li><b>Real-Life Applications</b> (12:30): Examples showcasing how Claude has been implemented in various business scenarios, including customer inquiries and document creation.</li><li><b>Best Practices for Using Claude</b> (18:40): Tips on how to set up and maximize Claude’s features for your specific business needs.</li><li><b>Watch the Interface in Action</b> (22:15): A live demonstration of Claude’s interface and how to navigate its features effectively.</li></ul><p></p><p>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.<br /><br />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!</p><p><br />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!</p><p><br />#SmallBusiness #AI #Claude #BusinessAutomation #Efficiency</p>no01:00:42111Unlock Business Efficiency with Claude: Your AI Assistantfull<![CDATA[How to Get Better ChatGPT Results with Context, Strategy, and Smart Prompting Without Guessing]]>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

]]>2391c3e9-b981-4c0e-81bb-4e07db822b1dMon, 16 Feb 2026 06:44:11 GMT<p>In this episode, I show how I actually use ChatGPT to run my business: settings, models, custom GPTs, and Projects.</p><p><br />Then we do a <b>live demo</b>: I ask ChatGPT to write the prompt, and we generate an ad image from 2 photos.</p><p></p><p>ChatGPT updates constantly. New models, new features, new hype cycles.<br /></p><p>But the real advantage isn’t the latest update — it’s <b>how you use the tool</b>.</p><p></p><p>In this episode, I walk you through my real ChatGPT workflow:</p><ul><li>Free vs Plus plan (and why I use Plus)</li><li>The settings that matter (personalization + memory)</li><li>Model selection (thinking vs instant)</li><li>Uploading files/images for better context</li><li><b>Custom GPTs</b> (shareable) vs <b>Projects</b> (internal)</li><li>How I build a business GPT (Customer Avatar Finder)</li><li>My favorite trick: <b>ask ChatGPT to write the prompt</b></li><li>Live demo: combine two photos into a photorealistic ad image</li></ul><p></p><p>Sponsored by:</p><ul><li><a rel="noopener noreferrer nofollow" href="https://www.gratasoftware.com" target="_blank"><b>Grata Software</b></a> — custom AI + automation for small businesses</li><li><a rel="noopener noreferrer nofollow" href="https://skool.com/digitalstrikehub/about" target="_blank"><b>Digital Strike</b></a> — DIY training for AI + automation</li></ul><p></p><p>Comment what you want me to show next:<br /><b>Lead gen, sales follow-up, customer avatars, offers, or automations.</b></p><p></p><p>00:00 We’re finally using tools (ChatGPT)<br />01:10 AI hype cycles &amp; why strategy matters<br />04:37 ChatGPT plans: Free vs Plus<br />06:58 Personalization settings<br />09:27 Why I keep Memory OFF<br />11:47 Data controls + privacy reality<br />14:11 Protecting data (local models)<br />15:00 Models: thinking vs instant + training dates<br />16:33 RAG explained in plain English<br />18:56 Files, context windows, and uploads<br />21:13 Agent mode warning<br />23:35 Sidebar: chats, images, apps, codex<br />25:51 Custom GPTs vs Projects<br />30:25 Why ChatGPT changed business research forever<br />32:42 Building a Custom GPT (Avatar Finder)<br />35:06 Knowledge base “secret sauce”<br />37:29 Projects example (travel budget)<br />39:53 Ask AI to write the prompt (pro move)<br />44:25 Live image generation results<br />46:44 CTA + next episode</p><p></p><p>#ChatGPT #AI #Automation #SmallBusiness #Marketing</p>no00:47:30110How to Get Better ChatGPT Results with Context, Strategy, and Smart Prompting Without Guessingfull<![CDATA[Bonus Episode: How Large Language Models Actually Work (A Simple Story)]]>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

]]>dbf9eb00-5051-446b-bfbd-9d2b4893a8d0Mon, 09 Feb 2026 04:33:32 GMT<p>Most people don’t understand how AI actually works — and that’s okay.</p><p><br />In this episode, I explain Large Language Models using a simple story anyone can understand.</p><p></p><p>Neural networks, transformers, hallucinations, and RAG are usually explained with math, code, and diagrams that look like spider webs.</p><p></p><p>So I did something different.</p><p></p><p>In this bonus episode of the AI Automation Alchemist podcast, I use a simple story — a flat tire and a cocktail party — to explain:</p><ul><li>How Large Language Models actually work</li><li>What input layers and hidden nodes really do</li><li>Why AI hallucinates</li><li>How transformers keep context intact</li><li>How Retrieval Augmented Generation (RAG) injects facts</li><li>Why AI feels intelligent without “thinking”</li></ul><p></p><p>No code. No math. No hype.</p><p></p><p>If you’ve ever nodded along pretending to understand neural networks — this episode is for you.</p><p></p><p>Sponsored by:</p><ul><li><a rel="noopener noreferrer nofollow" href="https://www.gratasoftware.com" target="_blank"><b>Grata Software</b></a> — custom AI &amp; automation</li><li><a rel="noopener noreferrer nofollow" href="https://skool.com/digitalstrikehub/about" target="_blank"><b>Digital Strike Hub</b> </a>— learn AI the right way</li></ul><p></p><p>#ChatGPT #LLM #ArtificialIntelligence #AIExplained #Automation</p>no00:23:2519Bonus Episode: How Large Language Models Actually Work (A Simple Story)full<![CDATA[The Tech Behind AI Chat Tools (LLMs)]]>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

]]>c3fc1b05-6ebc-4af1-a098-7a55a230e212Wed, 04 Feb 2026 03:52:13 GMT<p>ChatGPT isn’t thinking — it’s calculating probabilities.<br />In this episode, I explain <b>how Large Language Models actually work</b>, in plain English.</p><p></p><p>Most people use ChatGPT daily without understanding what it’s actually doing.</p><p></p><p>In this episode of the AI Automation Alchemist podcast, I break down:</p><ul><li>What Large Language Models (LLMs) are</li><li>How neural networks work (simplified)</li><li>What transformers actually do</li><li>Why context matters more than prompts</li><li>Why AI feels intelligent without “thinking”<p></p></li></ul><p>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.</p><p></p><p>00:00 What this episode covers<br />00:45 Why I used Notebook LM<br />02:10 What a Large Language Model is<br />03:15 Neural networks (simplified)<br />04:40 Hidden nodes &amp; parallel processing<br />06:00 Transformers &amp; context<br />07:40 Why words mean different things<br />09:00 Why AI feels intelligent<br />10:15 The simplified explanation epiphany</p><p></p><p>Resources &amp; Links:</p><ul><li><a rel="noopener noreferrer nofollow" href="https://notebooklm.google.com/" target="_blank">Notebook LM</a></li><li><a rel="noopener noreferrer nofollow" href="https://www.gratasoftware.com/" target="_blank">Grata Software</a></li><li><a rel="noopener noreferrer nofollow" href="https://skool.com/digitalstrikehub/about" target="_blank">Digital Strike</a><p></p></li></ul><p>Connect with Rey Ortega:</p><ul><li><a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/biztechguru/" target="_blank">LinkedIn</a></li><li><a rel="noopener noreferrer nofollow" href="https://x.com/theereyortega" target="_blank">X/Twitter</a><br /></li></ul><p>#ChatGPT #LLM #ArtificialIntelligence #AIExplained #Automation</p>yes00:12:2518The Tech Behind AI Chat Tools (LLMs)full<![CDATA[Stop the AI Hype! Here’s the Tactical Plan]]>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

]]>6423e32e-2023-48f1-8cc0-c1ffe6a80465Tue, 27 Jan 2026 13:00:00 GMT<p>Next week we go tactical: AI tools that help you <b>find customers, target them, message them, and convert them.</b><br /></p><p>This week we talked about AI hype, conferences, and the wild claims people make about “AI expertise.”<br />Now we’re moving forward.</p><p>Next week’s episodes focus on <b>tactical AI tools for business owners</b>, especially:</p><ul><li>How to identify the right customers (demographics + psychographics)</li><li>How to craft an offer that speaks to them</li><li>How to message them on social and email</li><li>What tools to use (and which are a waste)</li><li>How to control tool costs and ensure <b>10x ROI</b></li></ul><p>Sponsored by:</p><ul><li><b>Grata Software</b> — custom AI + automation for small businesses</li><li><b>Digital Strike</b> — DIY training community for AI + automation</li></ul><p></p><p>Drop a comment with the #1 thing you want AI to help you with:</p><p><br /><b>Lead gen, sales, content, ops, or customer support.</b></p><p></p><p>00:00 This week recap: AI hype + misinformation<br />01:10 Disclaimer: marketers still help beginners<br />02:20 Sponsors: Grata Software + Digital Strike<br />03:00 Next week: tactical AI tools for business growth<br />04:10 Customer acquisition: who to target + why<br />05:10 Tool cost problem + how to think ROI<br />06:10 The 30-day podcast challenge + why I’m doing this<br />07:10 What topics do you want next?</p><p></p><p>#AI #Automation #SmallBusiness #Marketing #CustomerAcquisition</p>no00:07:4417Stop the AI Hype! Here’s the Tactical Planfull<![CDATA[Marketers Are Lying About AI (Here’s Why)]]>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.

]]>d3153519-2f4d-4a7f-9f00-569b07b6af36Mon, 26 Jan 2026 07:43:37 GMT<p>Using AI tools doesn’t make you an AI expert — and pretending it does is hurting businesses.</p><p><br />In this episode, I explain the difference between <b>tool users</b> and <b>real AI expertise</b>.</p><p></p><p>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.</p><p></p><p>Too many people — especially marketers — are calling themselves “AI experts” after learning a handful of tools or getting certified. Using tools does <b>not</b> equal expertise.</p><p></p><p>In this episode, I break down:</p><ul><li>Why AI tools don’t give you “god-like skills”</li><li>The difference between <b>tool users</b> and <b>experts</b></li><li>Why AI certifications don’t impress real companies</li><li>Why Siemens, GE, and enterprise clients only care about experience</li><li>Who AI tools are actually for (and why that’s still valuable)</li><li>How bad AI advice is costing companies millions</li><li></li></ul><p>If you want to <b>learn AI properly</b>, check out Digital Strike.<br />If you want AI <b>done for you</b>, contact Grata Software.</p><p></p>no00:10:2016Marketers Are Lying About AI (Here’s Why)full<![CDATA[The Truth About AI Modes]]>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
]]>e9d1fdb4-c4bc-49cd-8cd5-86ae67f2ffcfSun, 25 Jan 2026 15:00:00 GMT<p>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.</p><p></p><p>Takeaways</p><ul><li>AI and Automation Misconceptions</li><li>Understanding Chat GPT Ecosystem</li></ul><p></p><p>Chapters</p><ul><li>00:00 Introduction to AI and Automation Misconceptions</li></ul>no00:23:5715The Truth About AI Modesfull<![CDATA[The 70/20/10 Rule for AI (Why Most AI Projects Fail)]]>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”

]]>0adb1184-5b07-4c40-bd77-7f43333ba6f6Thu, 22 Jan 2026 13:47:25 GMT<p>Most AI implementations fail because people start with tools (the 10%) instead of culture (70%) and process (20%).</p><p><br />In this episode, I break down the <b>70/20/10 rule for AI</b> and how to use it to actually implement automation.</p><p>In this episode you’ll learn:</p><p></p><ul><li>What the 70/20/10 rule is (and where it came from)</li><li>Why “AI consultants” often teach tools with no purpose</li><li>The #1 problem: <b>you can’t automate what doesn’t exist</b></li><li>How to implement AI the right way:<p></p><ul><li><b>70%</b> = culture + buy-in + skills</li><li><b>20%</b> = SOPs + workflows + integration</li><li><b>10%</b> = models, tools, algorithms, automation build<p></p></li></ul></li></ul><p>If you want our AI + Automation implementation guide, comment: <b>NEED A PLAN</b>.</p><p>Sponsored by:</p><p></p><ul><li><a rel="noopener noreferrer nofollow" href="https://go.gratasoftware.com" target="_blank">Grata Software</a> (custom AI + automation)</li><li><a rel="noopener noreferrer nofollow" href="https://www.skool.com/digitalstrikehub" target="_blank">Digital Strike Hub</a> (training + community)</li></ul><p></p><p>#AI #Automation #BusinessSystems #SOP #AIImplementation</p><hr /><h2>Chapters</h2><p>00:00 The 70/20/10 rule for AI<br />00:30 What the framework is (70 core / 20 related / 10 new)<br />01:26 Why most AI consultants miss it<br />02:50 Client story: “Where’s your list?”<br />04:19 You can’t automate what isn’t there<br />05:40 Secret #1: 70% is buy-in + culture<br />07:07 Secret #2: 20% is SOPs + integration<br />09:27 Secret #3: 10% is the tech<br />11:47 Recap + how to apply it<br />12:46 Comment “NEED A PLAN”</p>no00:13:2214The 70/20/10 Rule for AI (Why Most AI Projects Fail)full<![CDATA[The 10,000-Hour Rule vs “AI Experts”]]>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


]]>08e39651-54f4-4864-a4ef-f2a6f2eb3d5eWed, 21 Jan 2026 12:00:00 GMT<p>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.</p><p></p><p>AI was everywhere at the conferences I attended — especially PodFest — and a lot of it was oversold.<br />In this episode, I explain <b>why “using AI tools” ≠ being an “AI expert,”</b> and I highlight **3 presenters who did it the right way.</p><p></p><p>You’ll learn:</p><ul><li>Why “AI expert since 2022” is a red flag (and what real expertise looks like)</li><li>The 10,000-hour rule as a reality check for skill claims</li><li>3 great presentations and what made them credible:<ul><li>Dr. Catrice Austin (Celebrity Branding USA) — PR + AI used responsibly</li><li>Jennifer Navarrete — podcasting experience + practical AI use</li><li>Chad Parazan (Ader Communications) — prompts + workflows for podcast automation</li><li></li></ul></li><li>How to use AI for podcast prep, editing, trailers, and clips the smart way</li></ul><p></p><p>👋 I’m Rey Ortega, a 26-year software engineer &amp; automation builder (250+ business applications).</p><p><br />Sponsored by: Grata Software + Digital Strike</p><p>✅ Links mentioned in this episode (add yours here):</p><p></p><ul><li><a rel="noopener noreferrer nofollow" href="https://go.gratasoftware.com/" target="_blank">Grata Software</a></li><li><a rel="noopener noreferrer nofollow" href="https://www.skool.com/digitalstrikehub/about" target="_blank">Digital Strike Hub</a></li><li><a rel="noopener noreferrer nofollow" href="https://www.instagram.com/celebritybrandingusa/" target="_blank">Celebrity Branding USA</a></li><li><a rel="noopener noreferrer nofollow" href="https://linktr.ee/brewingmedia" target="_blank">Brew Media / Jennifer Navarrete</a></li><li><a rel="noopener noreferrer nofollow" href="https://www.adercommunications.com/podfest" target="_blank">Ader Communications / podfest prompts</a></li></ul><p></p><p>#ai #automation #podcasting #chatgpt #businessautomation<br /></p><h2>Chapters</h2><p>00:00 AI wasn’t supposed to be the topic… but it was<br />01:05 The conference “AI hook” problem<br />06:55 “AI expert since 2022” (the credibility issue)<br />07:35 The 10,000-hour rule reality check<br />10:45 AI isn’t new (since the 60s) + what “real AI” is<br />13:30 Presenter #1: Dr. Catrice Austin (PR + AI done right)<br />16:55 Presenter #2: Jennifer Navarrete (podcasting truth + volume)<br />27:50 Presenter #3: Chad Parazan (prompts + full podcast automation)<br />33:25 Wrap-up: the standard going forward</p><p><br /></p><p></p>no00:24:1013The 10,000-Hour Rule vs “AI Experts”full<![CDATA[Build An App In 15 Minutes or Less! Or Not!]]>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!

]]>44efe312-18e2-4ff4-9bdc-5a523533b27cSun, 18 Jan 2026 15:00:00 GMT<p>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?<br /><br />While attending Podfest 2026, one of the presentations touted this capability.<br /><br />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.<br /><br />My post-presentation response will shock you!</p>no00:03:1612Build An App In 15 Minutes or Less! Or Not!bonus<![CDATA[The Context Problem Most Businesses Get Wrong with AI]]>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

]]>babc374d-cd35-4e2f-9962-33c5d3ccd8d2Sat, 17 Jan 2026 05:20:43 GMT<p>Summary</p><p></p><p>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.</p><p></p><p>Takeaways</p><p></p><ul><li>AI and automation are distinct but complementary technologies.</li><li>Understanding context is crucial for effective AI implementation.</li><li>No business is too niche for AI; niche businesses can benefit more.</li><li>AI can automate repetitive tasks, freeing up time for business owners.</li><li>Learning the technical aspects of AI can empower business owners.</li><li>Key performance indicators are essential for measuring AI success.</li><li>Customization of AI tools is possible to fit specific workflows.</li><li>AI can enhance customer acquisition processes.</li><li>Automation can streamline operations and improve efficiency.</li><li>Engaging with AI experts requires understanding their jargon.<p></p></li></ul><p>Sound bites</p><p></p><p>"AI and automation can solve repetitive tasks."</p><p>"AI can help you focus on the selling."</p><p>"Automation can be customized for my workflow."</p><p></p><p>Chapters</p><p></p><p>00:00 Introduction to AI and Automation</p><p>06:00 Understanding AI and Automation in Business</p><p>11:14 Addressing Common Misconceptions about AI</p><p>14:04 Practical Applications of AI in Business</p><p>16:57 Customization and Implementation of AI Solutions</p><p>19:49 Measuring Success with AI Tools</p><p></p><p>Keywords</p><p>AI, automation, business, technology, artificial intelligence, machine learning, workflow, customer acquisition, implementation, success metrics</p><p></p>no00:18:4211The Context Problem Most Businesses Get Wrong with AIfull