Podcast
AI Automation Alchemist
Hosted by Rey Ortega · EN
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.
21episodes
Episodes
Newest firstAll episodes
Why Perplexity Is Outsmarting ChatGPT in 2026
Mar 1901:03:32Tap to summarizeThe 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.TakeawaysSmall business challengesAI automation and optimizationPerplexity and its features AI and agentic systems perform complex tasksPersonalization and customization are key in AI usageChapters00:00 Introduction to Digital Strike Hub15:51 The Evolution of Technology in Business28:18 Exploring the Perplexity Interface and Features50:18 AI and Agentic Systems56:07 Personalization and Customization
Transcribe →The Truth About AI in Business: Myths, Risks, and Strategies
Mar 1200:49:31Tap to summarizeAI 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 businessCommon myths and misconceptions around implementationWhy strategy matters more than trend-chasingRisks involving cybersecurity, contracts, and SaaS toolsAI agents and where they fall shortSmall business automation challengesHow to focus on speed to valueChoosing the right technology for real business outcomesGuest:Kyler CheathamGuest Links:TikTok: https://www.tiktok.com/@kylercheathamLinkedIn: https://www.linkedin.com/in/kylercheathamWebsite: https://confluential.com/#AI #Automation #BusinessStrategy #ArtificialIntelligence #Cybersecurity #SmallBusiness #EnterpriseTechnology #AIAgents #TechImplementation #BusinessGrowth
Transcribe →Unlock Business Efficiency with Claude: Your AI Assistant
Feb 2401:00:42Tap to summarizeAre 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
Transcribe →How to Get Better ChatGPT Results with Context, Strategy, and Smart Prompting Without Guessing
Feb 1600:47:30Tap to summarizeIn 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 contextCustom GPTs (shareable) vs Projects (internal)How I build a business GPT (Customer Avatar Finder)My favorite trick: ask ChatGPT to write the promptLive demo: combine two photos into a photorealistic ad imageSponsored by:Grata Software — custom AI + automation for small businessesDigital Strike — DIY training for AI + automationComment 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 matters04:37 ChatGPT plans: Free vs Plus06:58 Personalization settings09:27 Why I keep Memory OFF11:47 Data controls + privacy reality14:11 Protecting data (local models)15:00 Models: thinking vs instant + training dates16:33 RAG explained in plain English18:56 Files, context windows, and uploads21:13 Agent mode warning23:35 Sidebar: chats, images, apps, codex25:51 Custom GPTs vs Projects30:25 Why ChatGPT changed business research forever32:42 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 results46:44 CTA + next episode#ChatGPT #AI #Automation #SmallBusiness #Marketing
Transcribe →Bonus Episode: How Large Language Models Actually Work (A Simple Story)
Feb 900:23:25Tap to summarizeMost 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 workWhat input layers and hidden nodes really doWhy AI hallucinatesHow transformers keep context intactHow Retrieval Augmented Generation (RAG) injects factsWhy AI feels intelligent without “thinking”No code. No math. No hype.If you’ve ever nodded along pretending to understand neural networks — this episode is for you.Sponsored by:Grata Software — custom AI & automationDigital Strike Hub — learn AI the right way#ChatGPT #LLM #ArtificialIntelligence #AIExplained #Automation
Transcribe →The Tech Behind AI Chat Tools (LLMs)
Feb 400:12:25Tap to summarizeChatGPT 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) areHow neural networks work (simplified)What transformers actually doWhy context matters more than promptsWhy 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 covers00:45 Why I used Notebook LM02:10 What a Large Language Model is03:15 Neural networks (simplified)04:40 Hidden nodes & parallel processing06:00 Transformers & context07:40 Why words mean different things09:00 Why AI feels intelligent10:15 The simplified explanation epiphanyResources & Links:Notebook LMGrata SoftwareDigital StrikeConnect with Rey Ortega:LinkedInX/Twitter#ChatGPT #LLM #ArtificialIntelligence #AIExplained #Automation
Transcribe →Stop the AI Hype! Here’s the Tactical Plan
Jan 2700:07:44Tap to summarizeNext 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 themHow to message them on social and emailWhat tools to use (and which are a waste)How to control tool costs and ensure 10x ROISponsored by:Grata Software — custom AI + automation for small businessesDigital Strike — DIY training community for AI + automationDrop 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 + misinformation01:10 Disclaimer: marketers still help beginners02:20 Sponsors: Grata Software + Digital Strike03:00 Next week: tactical AI tools for business growth04:10 Customer acquisition: who to target + why05:10 Tool cost problem + how to think ROI06:10 The 30-day podcast challenge + why I’m doing this07:10 What topics do you want next?#AI #Automation #SmallBusiness #Marketing #CustomerAcquisition
Transcribe →Marketers Are Lying About AI (Here’s Why)
Jan 2600:10:20Tap to summarizeUsing 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 expertsWhy AI certifications don’t impress real companiesWhy Siemens, GE, and enterprise clients only care about experienceWho AI tools are actually for (and why that’s still valuable)How bad AI advice is costing companies millionsIf you want to learn AI properly, check out Digital Strike.If you want AI done for you, contact Grata Software.
Transcribe →The Truth About AI Modes
Jan 2500:23:57Tap to summarizeThe 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.TakeawaysAI and Automation MisconceptionsUnderstanding Chat GPT EcosystemChapters00:00 Introduction to AI and Automation Misconceptions
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The 70/20/10 Rule for AI (Why Most AI Projects Fail)
Jan 2200:13:22Tap to summarizeMost 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 purposeThe #1 problem: you can’t automate what doesn’t existHow to implement AI the right way:70% = culture + buy-in + skills20% = SOPs + workflows + integration10% = models, tools, algorithms, automation buildIf you want our AI + Automation implementation guide, comment: NEED A PLAN.Sponsored by:Grata Software (custom AI + automation)Digital Strike Hub (training + community)#AI #Automation #BusinessSystems #SOP #AIImplementationChapters00:00 The 70/20/10 rule for AI00:30 What the framework is (70 core / 20 related / 10 new)01:26 Why most AI consultants miss it02:50 Client story: “Where’s your list?”04:19 You can’t automate what isn’t there05:40 Secret #1: 70% is buy-in + culture07:07 Secret #2: 20% is SOPs + integration09:27 Secret #3: 10% is the tech11:47 Recap + how to apply it12:46 Comment “NEED A PLAN”
Transcribe →