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AI does not always live in a distant data center. More phones, computers, watches, and other personal devices are beginning to run parts of the AI workload locally. But what does on-device AI actually mean, and how can you tell whether a feature is local, cloud-based, or a mixture of both? In Episode 18 of Regular Guy, Real AI, Ken Lawler explains why the location of AI processing matters for speed, internet dependence, privacy, and everyday usefulness. Ellen Walkenhorst covers recent on-device AI developments from Microsoft, Google, Qualcomm, and Samsung. Jim Kinder decodes the neural processing unit, or N P U, and explains why this specialized chip is appearing in more device conversations. Then Ken leads three practical labs: the Airplane Mode Audit, the Privacy Sort, and the Local Versus Cloud Test. You will learn how to test which features continue working without a connection, sort tasks by sensitivity, and compare a local tool with a cloud tool using the same non-sensitive text. The central lesson is simple: on-device AI is not automatically better, and cloud AI is not automatically unsafe. The right choice depends on the task, the information involved, and the product's actual privacy and processing rules. Listen, run one test on a device you already own, and verify what the AI label really means.   Timeline/Chapter Markers: 00:00 - Welcome: AI moves onto your devices 01:25 - The Download: Microsoft, Google, Qualcomm, and Samsung 03:15 - Sponsor break 04:45 - The Decode: What is an N P U? 06:35 - The Deep Dive: Three on-device AI tests 09:30 - Sponsor break 11:00 - Takeaway, challenge, and next-week tease 12:25 - Outro music   Keywords/Tags: #RegularGuyRealAI #OnDeviceAI #ArtificialIntelligence #AIPrivacy #NPU #LocalAI #TechExplained #ChatGPT #DigitalLiteracy

AI is moving into the real estate journey, from conversational home search to automated property estimates and agent workflows. Episode 17 of Regular Guy, Real AI explains where the technology is helping, where it can mislead, and how regular people can use it without handing over the final decision. Ellen Walkenhorst covers a Bank of America survey on AI use in homebuying research, new conversational search tools from Zillow, Realtor.com, and Redfin, and an industry survey showing that agents value time savings while remaining concerned about accuracy. Jim Kinder decodes the term automated valuation model, or AVM, and explains why a computer-generated home value is not the same thing as a licensed appraisal. Then Ken Lawler leads three practical Deep Dive labs: - The Buyer Brief: turn a messy home wish list into objective must-haves, preferences, deal-breakers, and professional questions. - The Listing Comparison Board: compare public listing facts without allowing AI to invent missing numbers. - The Open House Question Builder: create a room-by-room checklist and separate what you can observe from what requires documents or a professional inspection. The central rule is simple: let AI organize the homework, then verify the source and keep the high-stakes decisions with qualified humans. Product access, features, and beta availability can vary by account, platform, region, and date. Regular Guy, Real AI featuring Ken Lawler helps regular people understand and use artificial intelligence in practical, everyday ways. Follow the show, run one real estate lab, and share the episode with someone who has too many property tabs open.   Timeline/Chapter Markers: 00:00:00 - Ken Lawler Open - Home Sweet Algorithm 00:01:30 - The Download - AI enters home search and agent workflows 00:03:20 - Sponsor Break - ImapWorks 00:04:50 - The Decode - What an automated valuation model means 00:06:40 - Deep Dive - Buyer Brief, Listing Comparison, and Open House Questions 00:09:30 - Sponsor Break - ImapWorks 00:11:00 - Wrap-Up - Keep the decisions with the humans   Keywords/Tags: AI home search; AI home buying tools; ChatGPT for real estate; automated valuation model; AVM real estate meaning; AI property valuation; real estate technology 2026; AI for home buyers; Zillow AI mode; Realtor.com RealAssist AI; Redfin ChatGPT app; AI listing comparison; AI open house checklist; how AI helps real estate agents; proptech AI.

Your Downloads folder is overflowing, your notes are scattered, and your inbox has become a storage unit. Episode 16 of Regular Guy, Real AI shows how to use AI to create order without giving a tool complete access to your digital life. Ellen Walkenhorst covers three developments behind the shift toward AI that works across apps and files: ChatGPT Work, GPT-5.6, and Microsoft Copilot Cowork. Jim Kinder explains connectors in plain English, including the difference between letting AI read information and allowing it to take action. Then Ken Lawler leads three controlled Deep Dive labs: The File Map: turn a list of filenames into a simple folder plan without deleting or moving anything automatically. The Note Consolidator: combine scattered project notes into one master brief while flagging missing or conflicting information. The Inbox Reset: sort non-sensitive subject lines into practical categories and design a ten-minute daily routine. The central rule is simple: start with the smallest useful sample, review every recommendation, and make the final decisions yourself. Features and permissions vary by product, plan, account, device, and region. Regular Guy, Real AI featuring Ken Lawler helps regular people understand and use artificial intelligence in practical, everyday ways. Follow the show, run one cleanup lab for fifteen minutes, and share the episode with someone whose Downloads folder needs an intervention.   Timeline/Chapter Markers: 00:00:00 - Ken Lawler Open - Opening the digital junk drawer 00:01:30 - The Download - ChatGPT Work, GPT-5.6, and Copilot Cowork 00:03:20 - Sponsor Break - ImapWorks 00:04:50 - The Decode - What an AI connector actually does 00:06:40 - Deep Dive - File Map, Note Consolidator, and Inbox Reset 00:09:30 - Sponsor Break - ImapWorks 00:11:00 - Wrap-Up - The fifteen-minute digital reset challenge   Tags/Keywords: AI organization, digital declutter, ChatGPT Work, GPT-5.6, AI connectors, file organization, note organization, inbox cleanup, AI productivity, Microsoft Copilot Cowork, Regular Guy Real AI, Ken Lawler.

Stop treating voice AI like a novelty. This episode shows how to use live AI conversation to organize a decision, rehearse an important moment, and learn a new topic without staring at a blank prompt box. Ellen Walkenhorst covers OpenAI's rollout of GPT-Live, an ElevenLabs case study on AI meeting transcription, and SynthID watermarking for synthetic audio. Jim Kinder explains full-duplex voice AI with a simple walkie-talkie-versus-phone-call analogy. Then Ken Lawler leads three practical voice-mode labs you can try in ChatGPT Voice or another voice-enabled AI tool. - The Walking Brain Dump: turn an unstructured stream of thought into clear decisions and next steps. - The Practice Room: rehearse an interview, sales call, presentation, or difficult conversation. - The Teach-Back Test: learn a topic aloud, explain it back, and find the gaps in your understanding. Features vary by tool, account, device, and region. Treat transcripts and summaries as drafts, and verify names, numbers, dates, and commitments before relying on them. Regular Guy, Real AI featuring Ken Lawler helps regular people understand and use artificial intelligence in practical, everyday ways. Follow the show, run one of the labs for five minutes, and share this episode with someone who still thinks AI begins and ends with typing.   Timeline/Chapter Markers: 00:00:00 Ken Lawler Open - Your voice becomes the new prompt box 00:01:30 The Download - GPT-Live, AI meeting notes, and audio watermarking 00:03:20 Sponsor Break - ImapWorks 00:04:50 The Decode - What full duplex means 00:06:40 Deep Dive - Walking Brain Dump, Practice Room, and Teach-Back Test 00:09:30 Sponsor Break - ImapWorks 00:11:00 Wrap-Up and the five-minute voice challenge   Tags/Keywords: voice AI, ChatGPT Voice, GPT-Live, full duplex, AI voice assistant, AI productivity, AI practice partner, AI learning, meeting transcription, SynthID, ElevenLabs, Regular Guy Real AI, Ken Lawler.

America turns 250, and Episode 14 of Regular Guy, Real AI shows how families can use AI to make the Fourth of July more organized, personal, and meaningful. Ellen Walkenhorst explores three ways AI can support the holiday weekend: helping plan a gathering, making American history easier to explore with children, and organizing local celebration options. Jim Kinder explains generative AI creativity and how a good prompt can help regular people move past the blank page. Then Ken Lawler leads three hands-on Deep Dive labs: - The 250th Celebration Planner: build a personalized menu, shopping list, schedule, family activities, and a meaningful group moment. - The American History Explorer: connect national history to your family's ages, interests, roots, or region. - The Family Tribute Creator: draft a short, heartfelt toast for a family member, neighbor, veteran, or someone else who deserves recognition. The challenge is simple: choose one lab, spend fifteen minutes with it, and create something your family can actually use during the holiday. Regular Guy, Real AI featuring Ken Lawler helps regular people understand and use artificial intelligence in practical, everyday ways. Follow the show, try one of the labs, and share the episode with someone planning a Fourth of July gathering.   Show Timeline / Chapter Markers: 00:00:00 Ken Lawler Open - Making America's 250th birthday personal 00:01:30 The Download with Ellen - AI planning, history, and local celebrations 00:03:30 Sponsor Break - iMapWorks 00:05:00 The Decode with Jim - Generative AI creativity explained 00:07:00 Deep Dive - Celebration Planner, History Explorer, and Family Tribute labs 00:10:00 Sponsor Break - iMapWorks 00:11:30 Wrap-Up and Fourth of July challenge   Keywords/Tags: AI for families, Fourth of July, July 4th, America 250, America's 250th birthday, Semiquincentennial, AI party planner, American history, generative AI, family technology, holiday planning, AI prompts, family celebration, Regular Guy Real AI, Ken Lawler.

AI is becoming one of the best summer companions any family has ever had. This week, we run three hands-on labs to plan your family’s best summer ever — the Summer Trip Architect, the Activity Generator, and the Family Creative Lab. Plus, a powerful new feature called AI memory that turns a generic tool into your personal AI.   Show Timeline / Chapter Markers 00:00:00 Ken Lawler Open — AI becomes your family’s summer concierge 00:01:30 The Download with Ellen — Three big AI-for-families trends to know 00:03:30 Sponsor Break — ImapWorks 00:05:00 The Decode with Jim — “AI Memory” and the rise of personal AI 00:07:00 Deep Dive — Summer Trip Architect, Activity Generator, Family Creative Labs 00:10:00 Sponsor Break — ImapWorks 00:11:30 Wrap-Up + Weekend Challenge   Keywords / Tags AI for families, AI travel planner, AI for parents, kids and AI, summer planning, family trips, AI memory, personal AI, Regular Guy Real AI, Ken Lawler, AI activities, family fun, summer ideas

The age of the personal AI employee is officially here. This week, we run three hands-on labs to build your very first AI clone — a Knowledge Clone, an Inbox Clone, and a Task Clone. Plus three big AI agent trends every listener should know about right now. Show Timeline / Chapter Markers 00:00:00 Ken Lawler Open — Your next employee might be a clone (and you build it) 00:01:30 The Download with Ellen — Three big AI agent and clone trends to know 00:03:30 Sponsor Break — ImapWorks 00:05:00 The Decode with Jim — “AI Agent” and the year of the agent 00:07:00 Deep Dive — Knowledge Clone, Inbox Clone, and Task Clone labs 00:10:00 Sponsor Break — ImapWorks 00:11:30 Wrap-Up + Weekend Challenge AI agent, AI clone, custom GPT, AI assistant, AI for business, AI employee, productivity, automation, small business, solopreneur, Regular Guy Real AI, Ken Lawler, year of the agent

AI is becoming the most powerful learning and research partner any of us have ever had access to. This week we run three hands-on labs that turn AI into your full-time researcher — for learning, for meeting prep, and for big decisions. Plus three big AI research trends every listener should know about right now. Show Timeline / Chapter Markers 00:00:00  Ken Lawler Open — The research assistant every listener can have for free 00:01:30  The Download with Ellen — Three big AI research trends to know 00:03:30  Sponsor Break — ImapWorks 00:05:00  The Decode with Jim — “Synthesis” and the superpower behind AI research 00:07:00  Deep Dive — The Learning Sprint, Meeting Prep, and Decision Labs 00:10:00  Sponsor Break — ImapWorks 00:11:30  Wrap-Up + Weekend Challenge   AI research, AI assistant, AI for learning, AI study buddy, deep research mode, voice AI, meeting prep, decision making, small business, AI tools, Regular Guy Real AI, Ken Lawler, productivity

AI marketing is entering its most exciting era yet — the personal era. This week we run the three-step brand voice lab that trains AI to sound exactly like you, plus three big AI marketing trends every business owner should know about right now. Show Timeline / Chapter Markers 00:00:00  Ken Lawler Open — The 30-minute setup that gets AI writing in your voice 00:01:30  The Download with Ellen — Three big AI marketing trends to know 00:03:30  Sponsor Break — ImapWorks 00:05:00  The Decode with Jim — “Brand Voice Training” in plain English 00:07:00  Deep Dive — The 3-Step Brand Voice Lab 00:10:00  Sponsor Break — ImapWorks 00:11:30  Wrap-Up + Weekend Challenge Keywords / Tags AI marketing, brand voice, AI copywriting, small business marketing, ChatGPT, AI tools, content marketing, AI for business, Regular Guy Real AI, Ken Lawler, voice training, marketing automation

What if just 15 minutes with AI could completely change how you work, learn, travel, cook, communicate, and solve everyday problems? In this special long-format Lab Day episode of Regular Guy, Real AI, host Ken Lawler gives you five simple AI experiments that anyone can try this weekend—no technical background required. Each lab includes an easy-to-follow prompt you can copy and paste into ChatGPT, Gemini, Claude, Copilot, or your favorite AI assistant. Along the way, contributor Ellen Walkenhorst shares inspiring stories of everyday people using AI to teach history, launch businesses, learn languages, and even create personalized bedtime stories for their grandchildren. Then Jim Kinder breaks down one of the most important AI terms you'll hear in 2026: Multimodal AI—what it is and why it changes everything. You'll also hear Ken's new Imagine That segment, a look at how AI is transforming everyday life—from managing emails and meetings to helping with homework, launching businesses, and giving people more time to focus on what matters most. In This Episode: ✔ The Plain English Decoder ✔ The Weekend Trip Architect ✔ The Birthday Toast Builder ✔ The Family Recipe Rescue ✔ The Skill Sprint ✔ What Multimodal AI really means ✔ Inspiring AI success stories from everyday people ✔ How AI is making powerful technology available to everyone Whether you're brand new to artificial intelligence or already experimenting with AI tools, this episode will give you practical ideas you can use immediately. 🎙 Regular Guy, Real AI is the podcast that makes artificial intelligence practical, approachable, and useful for everyday people, entrepreneurs, marketers, and business owners. Next Episode: Learn how to use AI to create marketing that sounds like YOU, attracts real customers, and stands out from generic AI-generated content. Hashtags #RegularGuyRealAI #KenLawler #ArtificialIntelligence #AI #ChatGPT #GenerativeAI #BusinessAI #SmallBusiness #Marketing #PromptEngineering #AIProductivity #AITools #Innovation #FutureOfWork #Technology #DigitalTransformation #Entrepreneur #Learning #MultimodalAI #AIEducation

Have you ever asked AI a question and gotten an answer that sounded absolutely convincing... only to discover it was completely wrong? In Episode 8 of Regular Guy, Real AI, Ken Lawler explains one of the most misunderstood aspects of artificial intelligence: AI hallucinations. These aren't malicious lies—they're confident, believable answers that can include fabricated facts, made-up statistics, fake citations, and nonexistent places. Contributor Ellen Walkenhorst shares the story of a bed & breakfast owner who nearly published an AI-generated blog post filled with fictional attractions and outdated local information. Then Jim Kinder breaks down why AI isn't trying to deceive you—it simply predicts what sounds most likely to come next. Ken wraps up the episode with a practical three-step verification playbook every AI user should adopt: Verify specific facts, names, dates, and statistics Match your fact-checking effort to the importance of the task Use AI to challenge and critique its own responses Whether you're using AI for work, marketing, research, content creation, or everyday life, learning to recognize hallucinations could save your reputation—and your business. In this episode you'll learn: What AI hallucinations really are Why AI can sound confident while being completely wrong The biggest danger zones for misinformation Three simple habits that dramatically improve AI accuracy How to make AI help verify its own work Next week: What should you never paste into AI? We tackle privacy, sensitive data, and the business information that should never leave your computer.   #ArtificialIntelligence #AI #ChatGPT #GenerativeAI #BusinessAI #AIForBusiness #SmallBusiness #Marketing #Productivity #TechPodcast #AIPodcast #MachineLearning #OpenAI #PromptEngineering #AIHallucinations #DigitalTransformation #Innovation #Entrepreneur #FutureOfWork #RegularGuyRealAI

Host Ken Lawler tackles the skill nobody teaches: prompting. Because the secret nobody tells you is that most people aren’t bad at AI — they’re bad at asking. The words you type in matter more than which AI you’re using or which subscription you paid for. Contributor Ellen Walkenhorst opens with her brother-in-law Tony — a contractor who spent 40 minutes getting AI garbage out of a six-word prompt, then got a usable client quote in 4 minutes once they fixed it. Contributor Jim Kinder decodes “prompt engineering” into the simplest mental model you’ve ever heard: you’re briefing a smart intern. Then the Deep Dive: three rules that turn a bad prompt into a great one. •  Set the Scene Before You Make the Ask — stop leading with the verb. •  Show, Don’t Just Tell — examples beat adjectives, every time. •  The Second Prompt Is Where the Magic Lives — the first answer is the rough draft. The Monday Challenge: Take a prompt you used recently. Rewrite it using the three rules. Follow up at least twice. Email the before-and-after to Ken — wildest results get read on the next show. Coming up next week: AI hallucinations — what to do when AI gets it wrong with full confidence. -------------------------------------------------------------------------------------------- AI, prompting, prompt engineering, ChatGPT, AI tools, productivity, small business, entrepreneur, AI for beginners, AI tips, future of work, regular guy real AI, Ken Lawler, business automation, marketing

Last week we said AI isn’t coming for your job. A lot of you wrote in. This week, host Ken Lawler goes one layer deeper: AI isn’t replacing you, but it IS rearranging the furniture inside your job. Same job title — totally different daily experience. Contributor Ellen Walkenhorst brings the story of Maria the baker, who cut four hours of weekly social posts down to twenty-five minutes — not by going faster, but by changing the order of the work. We decode “AI-first workflow” into plain English, then dive into the three shifts changing how regular people approach every task: •  Start at the End — describe “done” first, reverse-engineer from there. •  Edit, Don’t Create — stop being the blank-page hero, start being the editor. •  Prototype in Minutes — test twenty ideas in the time it used to take to test one. The Monday Challenge: Pick one task you do every Monday. Try it AI-first. Time both versions. Email Ken the results — best ones get read on next week’s show. Coming up next week: How to actually prompt AI — three rules that turn a bad prompt into a great one. -------------------------------------------------------------------------------------------- AI, artificial intelligence, productivity, future of work, small business, entrepreneur, ChatGPT, AI tools, workflow, marketing, prompting, regular guy real AI, Ken Lawler, AI for non-techies, business automation

Everybody’s asking the same question out loud: “Is AI coming for my job?” This week, Ken gives you the honest answer — no hype, no doom, no tech jargon. You’ll walk away knowing which tasks (not jobs) AI is actually taking, the three buckets every job falls into, why “learn to code” aged badly, and a 15-minute exercise that maps exactly where AI fits in your own career.   WHAT’S IN THIS EPISODE: Ellen Walkenhorst breaks down two fresh AI-at-work headlines — what actually happened vs. what the news said. Mark Sewel decodes the five words you keep hearing (automation vs. augmentation, task vs. job, AI exposure, human-in-the-loop, productivity gain) so you’re never the only one not nodding along. In The Lab, we walk you through the “Task Triage” exercise — a simple way to sort every task you did last week into three columns and find your personal moat. In the Deep Dive, Ken lays out the three buckets of jobs, the quiet winners (trades, healthcare, skilled labor), and how to tell real AI layoffs from layoffs getting blamed on AI. Jesse Primir takes us to a regular Tuesday in 2030 for a plumber, a middle manager, and a high-school teacher — showing what AI quietly does in the background while the real work stays human. Finally, the Regular Guy Tip — “The Boss Translator” — a 30-second trick that’ll make every Slack message and email you send sound like you actually slept last night. THE BIG IDEA: AI isn’t a robot coming to take your job. It’s a new tool your coworkers are about to learn. Be the first one on your team to figure out how to use it well — or be the last. That’s the entire game. Send us your three columns, subscribe, leave a review, and share with someone who’s been losing sleep over this.

In this episode you will learn why AI results vary so much between users, the real reason AI does not work for most people, a simple four-part formula anyone can use including Role, Task, Context and Format, a hidden ChatGPT feature that instantly improves every answer, how better prompts can save hours every week, and why the biggest advantage in AI is no longer the tool but the person using it. Ellen Walkenhorst also covers this week’s biggest AI stories including ChatGPT now inside your car, the next OpenAI model getting ready to launch, a surprising tie in the AI race between OpenAI and Google, and the real-world cost of AI infrastructure. If you have ever tried AI and felt like it did not deliver, this episode will change how you use it. aipodshow.com   AI for beginners, ChatGPT tips, prompt engineering, artificial intelligence explained, how to use AI, AI podcast, business AI tools, simple AI strategies, ChatGPT guide, productivity tools