AI Automation Alchemist

Rey Ortega

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.

  1. Aug 10

    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 / Timestamps00:00 — 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.

  2. Jul 28

    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

  3. Jul 13

    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

  4. Jul 5

    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

  5. May 6

    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 / Timestamps00:00 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

About

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.

You Might Also Like