AI Lab Unfiltered

In this episode of AI Lab Unfiltered, Drew Veach (BizStream) and Pete Terryn (NuWave Technology Partners) sit down with Marcel Meijer and Stacy Paul from Array of Engineers to dig into what it actually takes to drive AI adoption inside a company — including one that operates in some of the most regulated environments on the planet.If your team is still "talking about AI" but not doing anything about it, this episode will light a fire.

Is OpenClaw actually the right AI agent tool for your business—or is there a smarter option?In this episode of AI Lab Unfiltered, Drew Veach (BizStream) and Pete Terryn (NuWave Technology Partners) go head-to-head comparing OpenClaw vs Co-work. They break down agentic workflows, real-world performance, token usage, and the setup decisions that actually matter when deploying AI agents in a business environment.If you've been wondering whether OpenClaw is worth it—this is the honest breakdown you won't find in the marketing.

AI adoption doesn’t fail because the tools aren’t powerful—it fails because organizations don’t treat AI like a system.Drew Veach (BizStream) and Pete Terryn (NuWave) sit down with Taryn Kutches, co-founder of Joyn Collective, to unpack what “systems thinking” actually looks like in the real world: aligning people, process, and data, mapping your current state vs. future state, and building a now/near/next roadmap that teams can follow.They also dig into the most overlooked part of AI transformation: behavior change. From balancing “business architecture” with “behavioral architecture” to reframing AI from “efficiency” to “new value,” this conversation is a practical guide for leaders who know they need to do something with AI—but aren’t sure where to start. Chapters(00:00) Systems Thinking in AI: People, Process & Data(01:36) Meet Taryn Kutches + The Joyn Collective Origin Story(02:42) Mechanical Engineering → Why Systems Thinking Matters(06:23) What “Systems Thinking” Actually Looks Like in Organizations(08:39) Mapping Current State → Future State → Now/Near/Next Roadmap(11:20) AI Is Just the Tool — Don’t Start With Implementation(12:43) Business Architecture vs. Behavioral Architecture(16:23) Fear, Leadership Vulnerability & AI Adoption(21:08) “The Future Is Collective” — Why Transformation Takes Partners(24:07) Why Behavior Change Is Harder Than Technology(30:06) From Efficiency to New Value — Reframing AI’s Purpose(36:00) The Future of AI: More Human Work, Not Less

What if AI isn’t about replacing people… but restoring them?In this episode of AI Lab Unfiltered, Drew Veach (BizStream) and Pete Terryn (NuWave) sit down with Josh Ross, founder of Scalable AI, to explore how AI is transforming real businesses — not with flashy avatars or hype, but by eliminating the soul-crushing, repetitive work that keeps talented people stuck.From invoice anomaly detection to automating RFQ routing in manufacturing, Josh shares practical, boots-on-the-ground AI implementations that are saving companies time, increasing margins, and giving employees their strategic thinking back.You’ll hear how:A $20M business owner reclaimed 8-hour workdays from manual invoice reviewAI is filtering RFQs and boosting profitability in manufacturingCompanies are preserving “tribal knowledge” before senior employees retireInternal AI chatbots are becoming the “brain” of modern businessesDevelopment teams are using tools like Claude and AI agents to multiply outputThis isn’t about replacing jobs. It’s about removing the robotic parts of work — so humans can do what they’re actually good at.If you’ve ever thought, “There has to be a better way to do this,” this episode is for you.Chapters(00:00:07) Welcome to AI Lab Unfiltered + ThinkTank Shoutout (00:02:00) Josh Ross and the Origin of Scalable AI (00:03:00) The 20-Year-Old Who Told a $20M Founder “There’s a Better Way” (00:04:30) Invoice Review Automation: AI as an Anomaly Filter (00:08:30) Accounts Payable Automation & Human-in-the-Loop Governance (00:14:00) “Make People Human Again” – Eliminating Robotic Work (00:17:00) RFQ Routing in Manufacturing: Filtering for Profitability (00:19:00) Engineering Time Is Gold: Let AI Handle the First Pass (00:22:00) Preserving Tribal Knowledge Before It Retires (00:23:30) The AI Brain for Your Business: Internal Chatbots & BizBot (00:28:30) From Snowblower Manuals to AI-Powered Document Search (00:32:00) From Custom Builds to Scalable AI SaaS (00:35:00) How Much Code Is AI Actually Writing? (Claude, Agents & Skills) (00:41:00) Will AI Replace Developers? Or Elevate Them? (00:43:00) Stop Chasing Shiny AI — Solve Real Problems First

In this episode of AI Lab Unfiltered, Drew Beach (BizStream) and Pete Terran (New Wave) dig into the fast-evolving world of AI-powered devices—smart glasses, recording pendants, and the “always-on” assistants that are starting to feel normal.They talk through the real questions people are bumping into: etiquette and consent, security and privacy, and whether these tools amplify your attention—or quietly replace your critical thinking. From networking use-cases (remembering names, capturing conversations) to everyday life (finding your keys, navigating a city, even making healthier choices), they explore what’s already possible today—and what’s coming next as wearables get more personalized, more proactive, and yes… more ad-supported.By the end, they land on a simple challenge: the tech is here—so what rules do we need before it’s everywhere? Chapters(00:00) Intro + ThinkTank Shoutout(01:40) Why We’re Talking About AI Wearables(02:53) Privacy, Consent & “Always-On” Recording(04:43) Real-World Test: Using an AI Pendant in NYC(07:12) Networking Superpowers (Names, Memory & Follow-Up)(09:22) Heads-Up Displays & AR Navigation(10:46) Visual Memory: Finding Keys, Ketchup & Context(12:49) Facial Recognition & AI-Driven Human Connections(17:18) AI as a Behavioral Coach (Food, Fitness & Habits)(20:16) AI vs Medication: Behavior Modification Debate(25:44) Hyper-Personalization vs Advertising Overload(32:34) Final Thoughts: Buying the Glasses & What’s Next

In this episode of AI Lab Unfiltered, hosts Drew Veach and Pete Terryn unpack the real implications of agentic AI: systems that browse the web, make decisions, execute tasks, and continuously improve without constant human input.They discuss real-world use cases, emerging risks, guardrails businesses must consider, and why agentic AI could fundamentally change how software, teams, and workflows operate.If you’re curious about where AI is heading next—and how close we are to autonomous digital assistants—this conversation is essential listening.Chapters:(00:00) What Is Agentic AI and Why It Matters (03:12) From Chatbots to Autonomous AI Agents (07:45) Real Examples of AI Acting on Your Behalf (12:30) When AI Spends Money Without Permission (18:10) Human-in-the-Loop vs Full Autonomy (23:40) Business Use Cases for AI Agents Today (29:15) Why Guardrails and Policies Matter (34:50) AI Agents vs Traditional Software Tools (41:05) The Future of Agentic AI in Everyday Life (47:30) Final Thoughts: Where This Is All Heading👉 Watch more episodes to keep up with what’s next in AI.

AI can generate answers instantly—but speed doesn’t guarantee accuracy or good judgment.In this episode of AI Lab Unfiltered, Drew Veach and Pete Terryn explore why trusting AI too quickly can create hidden risks. They discuss how confidence in AI outputs can be misleading, why context matters more than ever, and what responsibility leaders still carry when using AI to inform decisions.This conversation is for anyone using AI to think, decide, or lead—and wants to avoid mistaking answers for understanding.Episode Chapters:(0:00) AI answers vs. real understanding(0:06) Why confidence doesn’t equal correctness(0:12) The danger of context-free answers(0:18) When AI replaces judgment(0:24) Leadership responsibility in AI use(0:30) Using AI without losing accountability(0:36) Final takeaways on trust and technology👉 Listen to more episodes of AI Lab Unfiltered to keep learning.

AI is now embedded in how we work—but that doesn’t mean it’s being used intentionally.In this episode of AI Lab Unfiltered, Drew Veach and Pete Terryn explore how widespread AI adoption is changing decision-making, leadership, and responsibility. They unpack where AI truly adds value, where it quietly creates risk, and why defaulting to automation can weaken judgment instead of strengthening it.This conversation is for anyone using AI in their work who wants to stay thoughtful, effective, and accountable—rather than just fast.Episode Chapters:(0:00) AI is everywhere—now what?(0:07) When adoption moves faster than understanding(0:13) Using AI vs. defaulting to it(0:19) The hidden cost of AI shortcuts(0:25) Leadership responsibility in AI use(0:31) How to use AI intentionally(0:37) Final takeaways👉 Listen to more episodes of AI Lab Unfiltered to continue the conversation.

AI can deliver answers instantly—but is that helping us think, or quietly replacing critical thinking altogether?In this episode of AI Lab Unfiltered, Drew Veach and Pete Terryn unpack how AI is reshaping decision-making and leadership. As AI becomes easier to rely on, they explore why speed doesn’t always equal clarity, and how judgment, responsibility, and context still matter more than ever.This conversation challenges the assumption that smarter tools automatically lead to better outcomes. If you’re using AI to guide decisions or shape strategy, this episode will help you rethink how much thinking should never be outsourced.Episode Chapters:(0:00) Is AI improving thinking or replacing it?(0:06) The risk of instant answers(0:12) Speed vs. understanding(0:18) Where AI truly adds value(0:24) Leadership and responsibility in AI adoption(0:30) When automation creates blind spots(0:36) Using AI to support—not replace—thinking👉 Listen to more episodes of AI Lab Unfiltered to continue the conversation.

𝗡𝗲𝘄 𝗘𝗽𝗶𝘀𝗼𝗱𝗲 𝗗𝗿𝗼𝗽!!  Creativity, Leadership & Human Insight: Finding the AI Balance  Drew Veach (BizStream) and Pete Terryn (NuWave Technology Partners) talk with Brian Tol (Mutually Human) about how artificial intelligence is reshaping business and creative work. They explore the balance between speed and understanding, where AI adds value versus where human insight still matters most, and how leaders can model responsible AI use. This episode is geared toward founders, executives and operators who want to leverage AI without losing critical thinking and human connection.  In this episode, you’ll learn:  - Why AI is best used as a tool to support human judgement, not replace it - How leadership and creativity need to adapt alongside automation - When speed becomes a liability without context - Ways to build trust and transparency with AI in your organization - Strategies for balancing innovation with human connection  🎧 Episode out now → https://lnkd.in/gR3UX4-x  💡 Subscribe for more unfiltered conversations on AI. Powered by ThinkTank Thought Leadership.  hashtag#AILeadership hashtag#DecisionMaking hashtag#HumanInTheLoop hashtag#AIRevolution

AI can generate answers instantly—but what happens when it replaces judgment instead of supporting it?In this episode of AI Lab Unfiltered, Drew Veach and Pete Terryn explore the unintended consequences of over-relying on AI for thinking, decision-making, and leadership. They discuss why speed without understanding creates risk, how leaders should model responsible AI use, and why critical thinking still matters more than automation.This conversation is for founders, executives, and operators who want to leverage AI without outsourcing responsibility.In this episode, you’ll learn:- Why AI answers can weaken judgment if used incorrectly- The leadership responsibility behind AI adoption- How speed can become a liability without context- When AI supports thinking—and when it replaces it- How to build better decision-making in an AI-first worldChapters:(00:00) Welcome to AI Lab Unfiltered(00:39) Is AI Replacing Our Ability to Think?(03:12) Speed vs. Understanding in Decision-Making(05:58) Why Instant Answers Create Hidden Risk(08:44) Leadership Responsibility in AI Adoption(11:32) When Trust in AI Goes Too Far(14:18) Teaching Teams to Think Before Prompting(17:05) Using AI as Support, Not a Substitute(19:50) The Future of Judgment in an AI World(22:30) Final Takeaways for Leaders

AI is moving faster than ever—but are we actually thinking better because of it?In this episode of AI Lab Unfiltered, hosts Drew Veach and Pete Terryn unpack the growing tension between speed and judgment in an AI-driven world. They explore how instant answers can erode critical thinking, why leaders must take responsibility for how AI is used, and what happens when technology replaces reflection instead of supporting it.This conversation is for leaders, founders, and operators who want to use AI as a tool—not a substitute for thinking.In this episode, you’ll learn:- Why faster answers don’t equal better decisions- How AI can weaken—or strengthen—critical thinking- The leadership responsibility behind AI adoption- Where trust in AI becomes dangerous- How to stay intentional in an automated worldChapters:(00:00) Welcome to AI Lab Unfiltered(00:36) Are Faster Answers Making Us Worse Thinkers?(03:05) The Tradeoff Between Speed and Understanding(05:52) Why AI Can Short-Circuit Critical Thinking(08:40) Trusting Technology vs. Taking Responsibility(11:30) How Leaders Should Use AI Intentionally(14:15) When AI Helps Judgment—and When It Replaces It(17:00) Teaching Teams to Think First(19:48) The Human Cost of Over-Automation(22:20) Final Thoughts: AI as Support, Not a Crutch

Is AI helping us think better—or quietly replacing our ability to think at all?In this episode of AI Lab Unfiltered, hosts Drew Veach and Pete Terryn dig into one of the most important questions leaders face today: how AI is reshaping critical thinking, decision-making, and responsibility inside organizations.They break down why instant answers can weaken judgment, how leaders should model better thinking in an AI-driven world, and why responsibility—not technology—is the real differentiator moving forward.This conversation is essential for founders, executives, and operators who want to use AI as leverage without outsourcing their thinking.In this episode, you’ll learn:- How AI changes the way humans think and decide- Why critical thinking is declining—and how to rebuild it- The leadership responsibility behind AI adoption- When AI accelerates insight vs. when it creates risk- How to stay human in an automated worldChapters:(00:00) Welcome to AI Lab Unfiltered(00:41) Is AI Replacing Critical Thinking?(03:18) The Danger of Instant Answers(06:05) What the MIT Study Reveals About AI Use(08:52) Responsibility vs. Blind Trust in Technology(11:40) How Leaders Should Model Better Thinking(14:25) When AI Helps—and When It Hurts(17:10) Teaching Teams to Think Before Prompting(19:55) The Human Cost of Over-Automation(22:30) Final Takeaways for Leaders Using AI

Why do some companies move fast with AI while others stay stuck? In this episode of AI Lab Unfiltered, hosts Drew Veach and Pete Terryn break down why slow decision-making is becoming one of the biggest risks for modern organizations.They discuss how AI is shifting expectations for speed, why hesitation kills innovation, and what leaders must do to keep up with rapidly changing technology. If you want to stay competitive—and avoid being outpaced by AI-powered competitors—this episode is a must-watch.What you’ll learn:• Why slow decisions are more dangerous than bad decisions• How AI is changing the speed of business• What separates adaptive teams from stagnant ones• The mindset shifts leaders need to stay relevant• How to evaluate risk when everything is moving fasterChapters:(00:00) Welcome to AI Lab Unfiltered(00:48) Why Slow Decisions Are Becoming a Liability(03:15) Business Speed vs. AI Speed(06:40) The Leaders Who Adapt vs. Those Who Fall Behind(09:22) Why Perfectionism Is Slowing Companies Down(12:15) Making Faster, Smarter Decisions with AI(15:00) Risk, Innovation, and Organizational Velocity(17:45) The Future of Leadership in an AI-Accelerated World(20:25) Final Takeaways: Move Faster or Get Left Behind

AI is changing how we think, decide, and lead—but are we actually getting better, or just faster? In this episode of AI Lab Unfiltered, hosts Drew Veach and Pete Terryn break down how AI is reshaping decision-making, problem-solving, and leadership inside modern organizations.They explore why some teams thrive with AI while others struggle, the psychology behind relying on instant answers, and the risk of losing critical thinking in an AI-first world.If you’re a leader, operator, or builder trying to understand how to use AI without losing human judgment, this episode is a must-watch.Chapters:(00:00) Welcome to AI Lab Unfiltered(00:42) How AI Is Changing Everyday Decision-Making(03:10) Are We Losing Critical Thinking?(05:55) Instant Answers vs. Understanding(08:20) How Leaders Should Use AI Responsibly(11:45) The Risk of Over-Reliance on Automation(14:26) When AI Speeds You Up—but Makes You Wrong(17:40) Teaching Teams to Think First, Type Second(20:18) Building Better Judgment in an AI Era(23:45) Final Thoughts: AI as a Tool, Not a Brain

AI is changing everything—from how we lead to how we create. In this episode of AI Lab Unfiltered, hosts Drew Veach and Pete Terryn dive into the real effects of AI on creativity, leadership, and the evolving workplace.They unpack how leaders can adapt to rapid AI transformation, why creativity still matters more than ever, and what organizations need to do to build teams ready for the next decade of innovation.In this episode:• How AI is transforming creative work• The difference between creative assistance and creative replacement• Why leadership must evolve alongside automation• The balance between innovation and human connection• How to build trust and transparency in an AI-powered workplaceHonest, insightful, and unfiltered—this conversation challenges how we think about technology and humanity.Chapters:(00:00) Welcome to AI Lab Unfiltered(00:50) How AI Is Changing Creative Work(04:10) Can AI Truly Be Creative?(07:25) Leaders Adapting to the AI Era(10:15) Balancing Efficiency and Authenticity(14:05) The Human Element Behind Innovation(17:20) Creativity vs. Automation — Finding the Middle Ground(20:35) The Future of Leadership in an AI World(23:40) Building Teams for an AI-Driven Future(27:15) Why Emotional Intelligence Still Wins(31:00) Final Reflections on AI and Creativity

In this episode of AI Lab Unfiltered, Drew Veach (BizStream) and Pete Tarrin (New Wave) talk with Steven Lopez, Director of Manufacturing Solutions at The Right Place, about what AI really looks like in manufacturing—especially in the front office. They explore how AI can speed up quoting, clean up manual processes, integrate legacy systems, and help manufacturers see where they actually stand competitively. Steven shares how he uses AI to cut research time, run better assessments, and design dynamic tools that give leaders same-day insights—all while tackling fears around change, jobs, and “AI for the sake of AI.” Powered by ThinkTank Thought Leadership. Chapters(00:00) Intro: AI in the manufacturer’s front office(00:38) How ThinkTank Thought Leadership powers this podcast(01:33) Meet Steven Lopez & The Right Place’s mission(02:40) Competitiveness, “ugly babies,” and gap analysis(06:27) Where tech & AI fit in manufacturers’ reality(08:12) Fixing the front end: quotes, ERP, and AI-enabled speed(12:11) AI adoption across 13 counties & different types of manufacturers(17:44) AI as collaborator, org charts, and the future of director roles(23:28) Blank-check vision: AI-powered assessments that protect communities(35:32) Dynamic assessments, avatars, and rethinking how we help manufacturers

In this episode of AI Lab Unfiltered, Drew and Pete sit down with Shannon McCormick, Senior Data Scientist at Scandinavian Tobacco Group, to talk about what it really looks like to unleash AI inside your datasets and treat it like a smart coworker instead of a magic black box.Shannon walks through how she uses transactional and customer data in a B2C environment to drive better decisions across shipping, promotions, and retention—everything from scorecards and customer profiles to advanced predictive models with millions of rows. They dig into the messy realities of the job: why 70% of her time is still spent in SQL, why “garbage in, garbage out” still rules, and why you shouldn’t wait for perfect data before you start experimenting with AI.They also unpack the difference between LLM-powered analysis and classic machine learning, when a simple logistic regression beats building your own LLM, and how tools like Copilot and ChatGPT can extend (not replace) the skills of data scientists, marketers, and engineers. The conversation closes with a hopeful look at AI as a creator of new jobs, new businesses, and a radically lower barrier to entrepreneurship.If you’ve ever wondered how to actually use AI with your business data—without getting lost in the hype—this episode is your playbook.Chapters(00:00) Cold Open, Sponsor Shoutout & Episode Setup(01:35) What Does a Data Scientist Actually Do?(02:56) Inside B2C Data: Transactions, Shipping & Promotions(05:54) Predictive Marketing Models & Campaign Targeting(08:33) Analytics Beyond Big Tech: Meijer, Cigars & Mid-Sized Teams(10:42) Data Quality, Cleaning & “Tending the Data Garden”(13:54) Influencing Data Collection & Working with Data Engineering(14:58) Synthetic Data, Surveys & Learning from What You Don’t See(18:16) Getting Started with Data & AI (Even If You’re Not a Data Scientist)(21:25) LLMs vs Classic Machine Learning: Picking the Right Approach(25:07) AI as a Smart Coworker: Jobs, Skills & “Vibe Coding”(31:25) Everyday AI, Marketing Automation & New Entrepreneurs(43:57) Tradeoffs: Learning Deep Skills vs Letting AI Do the Work(46:46) Final Takeaways & Where to Find Shannon

In this episode of AI Lab Unfiltered, Drew and Pete tackle one of the most talked-about topics in modern industry: how AI is reshaping manufacturing. From job displacement fears to the rise of “cobots,” they explore how artificial intelligence can enhance—rather than replace—human roles. The hosts share insights on balancing efficiency with humanity, creating a positive workplace culture, and preparing teams for the future of human-AI collaboration. Chapters(00:00) Intro and AI in Manufacturing(01:22) Job Displacement Fears and Workforce Augmentation(07:54) Pros and Cons of AI Adoption(14:56) Culture, Leadership, and Employee Engagement(21:49) The Future of Work and Human-AI Collaboration(29:43) Closing Thoughts and Call to Action 

In this episode, Doug Landman from The Right Place and the Michigan Manufacturing Technology Center (MMTC) joins to discuss how manufacturers can transition from reactive to predictive maintenance—and see immediate savings. Doug explains how even small and mid-sized manufacturers can deploy low-cost sensors, leverage real-time monitoring, and use data to anticipate failures before they happen. The conversation explores practical strategies for reducing downtime, improving efficiency, and empowering teams through upskilling and data-driven decision-making. Chapters(00:00) Intro and Series Kickoff(03:20) Overview of The Right Place and MMTC(07:10) From Perfection to Progress: Start Small(14:20) Hands-On Learning and Data Fundamentals(20:15) Real-Time Monitoring and Predictive Insights(24:50) Low-Cost Retrofits: Sensors and Smart Maintenance(30:50) AI Beyond the Production Line(42:40) How Small Manufacturers Can Start(50:40) Lessons from Lean and Six Sigma(54:45) Risks, Funding, and Next Steps(1:02:10) Closing Thoughts and Resources

It’s Halloween at AI Lab Unfiltered—and hosts Drew Veach and Pete Terryn are exposing the biggest AI myths haunting the headlines.From claims of “conscious” machines to fears about water-draining data centers and job-stealing robots, they separate fact from fiction in this smart, funny, and unfiltered episode.Tune in to hear how AI actually works, what’s really happening with your data, and why the future of AI is more human than you think.Chapters: (00:00) Halloween at AI Lab Unfiltered (03:00) Myth 1: AI Is Conscious (12:10) Myth 2: AI Is Draining Earth’s Water (19:45) Myth 3: AI Is Trained on All Your Data (29:40) Myth 4: AI Hallucinations Can’t Be Fixed (41:20) Myth 5: AI Will Replace All Jobs (53:20) Responsible Leadership in the Age of AI

In this episode of AI Lab Unfiltered, Drew Veach and Pete Tarrin explore the transformative impact of AI across various industries, particularly in agriculture and livestock monitoring. They discuss the innovative applications of AI in improving livestock health, enhancing customer experiences in barber shops, and streamlining operations in home services. The conversation emphasizes the importance of developing a strategic approach to AI implementation, fostering critical thinking, and ensuring that AI serves as a facilitator rather than a replacement in business processes. Zach Booker, a serial entrepreneur, shares insights from his diverse portfolio of companies and the role of AI in driving efficiency and innovation.Chapters(00:00) Introduction to AI in Agriculture(02:51) AI Applications in Livestock Monitoring(06:02) The Role of AI in Barber Shops(08:54) AI in Home Services and Training(11:48) Building an AI Strategy for Businesses(14:48) The Importance of Critical Thinking with AI(17:44) AI as a Facilitator in Healthcare(20:46) The Future of AI in Various Industries(24:04) Conclusion and Final Thoughts

AI isn’t just hype—it’s transforming business, creativity, and workflows.In this episode of AI Lab Unfiltered, Drew Veach and Pete Terryn unpack what AI adoption really looks like, where the hype ends, and where the real opportunities are.They cover:Myths and misconceptions about AIWhy adoption is harder than people thinkReal-world applications of AI todayHow AI could reshape the future of workChapters:(00:00) Welcome to AI Lab Unfiltered with Drew and Pete (01:10) Studio Jefferson and ThinkTank Production Support (04:02) Breaking Down AI Myths and Misconceptions (07:18) Why AI Adoption Isn’t Plug and Play (11:26) Real-World AI Applications in Business (16:04) The Human Side of AI Innovation (20:25) Predictions for the Future of AI in Work (24:37) Closing Thoughts and Call to Action👉 Learn more about how AI is reshaping business at cityinnovations.com

AI is changing how we work, create, and innovate.In this full episode of AI Lab Unfiltered, Drew Veach and Pete Terryn unpack:Myths and misconceptions about AIWhy AI is more than just automationThe role of human creativity in AI innovationHow leaders should prepare for the future of workChapters:(00:00) Welcome to AI Lab Unfiltered with Drew and Pete (01:15) Inside Studio Jefferson, Powered by ThinkTank (03:44) Breaking Down AI Myths and Misconceptions (07:28) Why AI Is More Than Automation (11:36) The Human Side of AI Innovation (16:02) How AI Shapes Creativity and Workflows (20:19) Preparing Leaders for an AI-Driven Future (24:55) Closing Thoughts and Call to Action👉 Learn more about how AI is reshaping business at cityinnovations.com

Leadership training is broken—but can AI fix it?In this episode of AI Lab Unfiltered, Drew Veach (BizStream) and Pete Terryn (New Wave) talk with Ben Lichtenwalner (Modern Servant Leader) about the intersection of AI and leadership coaching. Together, they unpack:Can AI truly replace leadership coaches?The rise of personalized AI coaching toolsWhy most leadership training doesn’t “stick”How AI could improve retention and personalizationThe balance between human empathy and algorithmsChapters:(00:00) Can AI Replace Leadership Coaches? (01:12) Introducing AI Lab Unfiltered with Drew and Pete (03:05) The Rise of Personalized AI Coaching Tools (06:42) Why Leadership Training Doesn’t Stick (10:19) How AI Could Make Training More Effective (14:43) Human Empathy vs. Algorithmic Coaching (18:56) Predictions for the Future of Leadership Development (22:37) Closing Thoughts and Call to Action👉 Learn more about how AI is reshaping leadership at cityinnovations.com

AI is no longer theory—it’s here, changing how businesses run every day.In this episode of AI Lab Unfiltered, hosts Drew Veach and Pete Terryn explore how companies are actually using AI, the wins they’re seeing, and the pitfalls leaders should avoid. From real-world experiments to enterprise adoption, this conversation cuts through the hype and gets into the lessons that matter.You’ll learn:✔️ What separates successful AI projects from wasted pilots✔️ Why adoption is as much about people as technology✔️ The role of prompts, workflows, and context in AI output✔️ Predictions for how AI will shape the next 12–18 monthsChapters:(00:00) Welcome to AI Lab Unfiltered with Drew and Pete(01:16) The Current State of AI Adoption(04:03) Why Prompts and Workflows Matter More Than Tools(07:42) Breaking Down AI Hype vs. Reality(11:18) Real-World Use Cases Driving Business Growth(15:44) The Human Side of AI Adoption: People + Process(20:09) Where AI Pilots Fail (and How to Avoid It)(24:27) Predictions for AI in the Next 12–18 Months(28:53) Closing Thoughts: Using AI for Real Business Value#AILabUnfiltered #ArtificialIntelligence #BusinessGrowth #AIInnovation #Automation #CityInnovations

AI is no longer just hype—it’s reshaping how leaders build, scale, and innovate.In this episode of AI Lab Unfiltered, Drew Veach and Pete Terryn dive deep into how organizations are actually using AI today—from automation wins to real adoption strategies. You’ll hear candid stories, challenges, and opportunities leaders face as they implement AI across industries.You’ll learn:✔️ Why AI adoption is harder than just plugging in a tool✔️ Practical use cases driving efficiency and growth✔️ Common myths vs. reality in today’s AI landscape✔️ How to think about AI strategy in your own businessChapters:(00:00) Welcome to AI Lab Unfiltered with Drew and Pete(01:12) Why AI Adoption Isn’t as Simple as It Seems(04:05) Common AI Myths and Misconceptions(07:34) Real-World AI Use Cases Driving Growth(12:18) The Human Side of AI Adoption(15:49) Breaking Down AI Hype vs. Strategy(20:27) Predictions for the Next 12–18 Months in AI(24:33) Closing Thoughts: Using AI to Create Real Business ValueInterested in learning more about Lindsey Peterson and her work?Check out her podcast at https://www.inaglimpse.com/#inaglimpse #designai #aidesignworkflow #futureofAI#AILabUnfiltered #ArtificialIntelligence #AIInnovation #Automation #BusinessGrowth #CityInnovations

In this episode of AI Lab Unfiltered, hosts Drew Veach and Pete Terryn dive into the evolving world of AI, community collaboration, and scaling talent. They explore how organizations can build stronger AI teams, highlight the importance of local innovation, and share insights from Tech Week in Grand Rapids. With candid stories, practical perspectives, and an exciting guest appearance, this conversation unpacks how AI is shaping both the workplace and the community. Chapters (00:00) - Introduction – meet hosts Drew and Pete(00:07) - Today’s focus: community, AI talent, and Tech Week preview(00:32) - Special guest arrival – why this guest matters(04:15) - Building the AI community(11:40) - Scaling AI talent(19:05) - Tech Week Grand Rapids highlights(28:50) - Final takeaways and closing thoughtsAre you enjoying AI Lab Unfiltered? Does your business feel stuck?Visit tractionlab.city/podcast for an exclusive listener-only offer

In Episode 27 of AI Lab Unfiltered, Drew Veach and Pete Terryn are joined by Sunny Lee, CEO & Founder of Holisticare, to explore the intersection of AI and productization.They dive into:How AI drives both new products and operational excellenceWhy subject matter experts are now building tools with no-code AI platformsPractical use cases in manufacturing, automation, and healthcareData challenges, interoperability, and AI bias in sensitive fieldsThe future of autonomous driving and synthetic data trainingChapters:(00:00) Welcome to AI Lab Unfiltered + Guest Intro: Sonny Lee, CEO of Holisticare (02:11) What Productization Means in the Age of AI (05:37) AI’s Two Paths: New Products vs. Operational Excellence (08:23) Empowering Subject Matter Experts with No-Code AI Tools (11:48) Eliminating Miscommunication Between Experts and Developers (15:29) Automation Wins: Zapier, Data Flows, and Healthcare Use Cases (19:21) Data Interoperability and Healthcare Challenges (23:45) AI Bias and Why Ground Truth is Hard in Healthcare (27:14) Stakeholder Alignment: Data, Talent, and Leadership Buy-In (32:40) Overcoming AI Resistance Inside Organizations (36:22) Human-in-the-Loop: Why Doctors and AI Should Collaborate (40:48) Autonomous Driving, Edge Cases, and Synthetic Data (45:15) Tesla vs. Waymo: Vision vs. LiDAR Approaches (49:03) Building Virtual Worlds for Safer AI Training (53:20) AI’s Future in Transportation and Beyond (56:42) Where to Find Sonny Lee and Closing ThoughtsIf you’re a business leader, innovator, or AI enthusiast, this episode is packed with insights on using AI strategically to boost ROI and drive adoption across industries.

Drew and Pete dive into the uncomfortable truth: AI might already be better than you at parts of your job. They explore the rise of task-specific agents, how context is becoming king, and why some devs might miss writing code—but shouldn’t. Bonus: a wild story of an AI that self-preserved by blackmail.Chapters: (00:00) Intro to AI Lab Unfiltered (01:12) The Emotional Shift from Coding to Prompting (04:00) AI Agents: Taskmasters or Threats? (07:22) Why Context Is the New Prompt (11:03) Automating Workflows with N8N (14:28) Can AI Replace You—or Should It? (18:44) The Blackmailing AI Experiment (22:01) The Real Future of AGI and Work (25:30) Developers, Adapt or Be Left Behind (27:46) AI as Coworker, Not Competitor (30:22) Final Reflections and Takeaways💡 Subscribe for weekly deep dives into building and living with AIAre you enjoying AI Lab Unfiltered? Does your business feel stuck?Visit tractionlab.city/podcast for an exclusive listener-only offer

In this episode of the AI Lab Unfiltered podcast, Drew Veach, Pete Terryn, and Alex R. Mead explore the world of AI automation, focusing on the N8N platform. They discuss the importance of agentic workflows, demonstrate a live transcription workflow, and delve into the future of AI in the workplace. The conversation emphasizes the accessibility of these tools and the potential for increased productivity through automation.Chapters(00:00) Introduction to AI Automation Tools(02:40) Exploring N8N for Workflow Automation(07:11) Live Demo: Building a Transcription Workflow(11:49) Step-by-Step Breakdown of the Workflow(17:46) Utilizing OpenAI for Transcription(23:23) Understanding API Costs and Tokens(23:26) Understanding API Costs and Budgeting(29:43) Building Efficient Workflows with N8N(38:19) The Future of Work: AI and Automation(41:21) Embracing AI: Skills for the FutureAre you enjoying AI Lab Unfiltered? Does your business feel stuck?Visit tractionlab.city/podcast for an exclusive listener-only offer

Anupam Banerjee from Aptiv joins to talk about building AI products in automotive, how AI is transforming prototyping (from 3 months to 1 day!), and what AGI and superintelligence really mean for the future of work and humanity.Plus – how AI redesigned his landscaping in minutes.Chapters(00:00) Introduction to AI Lab Unfiltered(00:36) Meet Anupam Banerjee from Aptiv(02:23) Leading AI Teams at Ford(06:41) Biggest AI Use Cases in Automotive(09:49) Coding and Prototyping with AI(12:41) AI and Autonomous Driving(14:41) Using Simulation for AV Training(17:26) Personal AI Use Cases(19:30) AI for Landscaping Design(22:35) AGI vs. Superintelligence(27:16) Is AGI Already Here?(32:33) Can AI Truly Reason?(39:04) The Future of AI: Robotics and Healthcare(44:07) Final Thoughts on AI Policy and Jobs(45:14) Where to Find AnupamSubscribe for more unfiltered conversations on building with AIAre you enjoying AI Lab Unfiltered? Does your business feel stuck?Visit tractionlab.city/podcast for an exclusive listener-only offer

Ben Rupp and Dean Sternik from Insight Business Solutions join to unpack how Microsoft Copilot is changing work. From AI meeting notes to task automation, they share real use cases, its current limits, and how Copilot compares to tools like Claude and OpenAI.Plus – the surprising story of how AI actually replaced someone's role.Chapters(00:00) Introduction to AI Lab Unfiltered(01:21) Meet Ben Rupp and Dean Sternick(03:32) Why Microsoft Copilot Is a Game Changer(05:04) Biggest Aha Moments Using AI(07:48) Copilot vs. Other AI Tools(11:03) Where Copilot Excels Today(14:22) Copilot Shortcomings and Limits(19:34) Responsible AI and Guardrails(27:29) AI Self-Preservation Stories(33:37) How AI Impacts Jobs and Roles(38:14) Personal AI Use Cases(41:19) Where to Find Ben and DeanSubscribe for more unfiltered conversations on building with AIAre you enjoying AI Lab Unfiltered? Does your business feel stuck?Visit tractionlab.city/podcast for an exclusive listener-only offer

Mark Schmidt from BizStream returns to explore whether AI is making developers smarter or just lazy. He shares how AI changes coding workflows, the real impact on brain function, and how tools like BizBot and MCP connections are transforming work.Chapters(00:00) Introduction to AI Lab Unfiltered(01:32) AI and Brain Decline: Myth or Reality?(04:30) Using AI for Coding vs. Writing(09:44) The Power of Context Engineering(13:08) How AI Changes Developer Workflows(21:14) MCP Connections and Automating Everything(28:16) The Future of Developer Jobs in AI(34:05) Dopamine Hits: Coding vs. Prompting(38:41) Building BizBot: AI Slack Assistant at BizStream(45:29) Why AI Needs Training Like a New Hire(49:51) Final Thoughts and Where to Find MarkSubscribe for more unfiltered conversations on building with AI

Mark Schmidt from BizStream joins us to talk about how he used AI to build and launch a physical card game — from concept art to product listings on Amazon. But that’s just the start.He walks us through his automated quote-posting system built with N8N, how he created an entire motivational alter ego ("Coach Schmidt"), and how he used Suno and ElevenLabs to produce clean, custom music for his wrestling team.If you think AI is just for code or content — this episode will change your mind.Chapters(00:00) Introduction to AI Lab Unfiltered(01:32) Meet Mark Schmidt and Trash Monsters Card Game(04:30) Designing the Game with AI Tools(07:41) Balancing Projects, Business, and Family(09:44) From Idea to Amazon Launch(13:08) Using AI for Graphics and Product Listings(21:14) Automating Social Media with N8n and AI(35:38) Wrestling, Coaching, and Motivational AI Content(45:06) Creating Music with Suno and Eleven Labs(51:57) Final Reflections and Where to Find MarkSubscribe for more conversations on building with AI

In this episode of the AI Lab Unfiltered podcast, hosts Drew Veach and Pete Terryn engage with Nathan Jean, co-founder and CTO of Kairos, to explore the evolving landscape of AI technology. They discuss the latest advancements in AI voice models, the challenges of voice recognition, and the future of AI assistants. The conversation shifts to the implications of AI in education, emphasizing the importance of critical thinking and the potential role of AI tutors. The hosts also address the practical tools available for small businesses to implement AI solutions effectively. The episode concludes with insights on the future of AI and its impact on various industries.Chapters(00:00) Introduction to AI and Podcasting(01:30) Exploring New AI Voice Models(04:00) The Future of AI Interaction(09:55) AI in Education and Critical Thinking(20:00) The Role of Teachers in an AI-Driven World(21:16) Navigating the Fear of Change in Small Businesses(24:32) Embracing Technology: Opportunities and Risks(27:40) Practical Tools for Small Business Automation(30:38) Finding the Right Approach to AI Solutions(32:54) Building Effective AI Solutions for Real Problems(35:31) Using AI as a Thought Partner(39:00) Conclusion and Future Directions

In a world racing toward automation, most branding studios are stuck in the past. But not Andy Bass.In this episode of Brand in the Making, Andy—founder of Bass Studio—pulls back the curtain on what it actually takes to build a modern creative business that doesn’t just survive the AI era, but thrives in it.From brand strategy frameworks to pricing creative work with confidence, Andy shares:Why traditional agencies are failing their clients in the AI ageHow his studio delivers outcomes instead of buzzwordsThe mindset shift needed to stay relevant when AI eats "pretty decks" for breakfastWhat clients really want (and how to win their trust long-term)🎯 “AI is just another tool—but if you don’t know how to use it, your studio’s already obsolete.”If you're building a creative business—or buying from one—this is your playbook for staying ahead.Chapters(00:00) Introduction to AI and Its Importance(03:03) Innovati AI: Bridging the Knowledge Gap(05:58) Understanding AI Adoption and Organizational Readiness(08:57) Workshops and Assessments for AI Integration(11:54) Demonstrating ROI and Practical Use Cases for AI(15:09) Identifying When AI is Not Appropriate(18:00) The Future of AI in Business and Society(29:24) The Evolution of Software and SaaS Applications(30:36) The Future of AI: Excitement and Challenges(31:51) Understanding AI: Risks and Opportunities(32:21) Managing Expectations with AI Technology(34:48) Building Applications with AI: A New Era(36:46) The Future of AI: Agents and Mundane Tasks(39:03) Creativity in the Age of AI(41:36) Critical Thinking in an AI-Driven World(48:16) Navigating Conversations About AI

Let’s be real: most “AI strategies” are just a wishlist, a vendor pitch deck, or a desperate attempt to keep up. The result? Confused teams, wasted budgets, and zero impact.In this unapologetic episode of Brand in the Making, CTO and AI architect Alex Mead explains why most companies are getting AI dead wrong—and what it actually takes to build a scalable, revenue-driving AI strategy that works.We dig into:Why leaders confuse “playing with AI” and building with itThe 3 phases of AI maturity—and how to stop stalling at phase oneWhy integrating AI is more about workflows than modelsHow to go from shiny object syndrome to sustained competitive advantageThe real reason your data isn’t making you money (yet)🎯 “There’s no such thing as an AI strategy—only business strategy with AI built in.”If you’re a founder, product leader, or exec trying to navigate AI transformation—this episode will save you a year’s worth of mistakes.Chapters(00:00) Introduction to Lovable and No-Code Tools(02:58) Password Management and Security Insights(06:00) Generating App Ideas with ChatGPT(09:00) Building a Travel Company Website Live(12:06) Exploring the Functionality of Lovable(14:59) The Importance of Authenticity in AI-Generated Content(18:02) Comparing Lovable with Figma(20:52) The Future of Website Creation and Content Management(24:03) Wrap-Up and Final Thoughts

AI is everywhere—except in your results.In this brutally honest episode of Brand in the Making, CTO and AI strategist Alex Mead unpacks the real reason most organizations fail to turn data and AI into business outcomes: they’re optimizing for dashboards, not decisions.If your company has a “data strategy” but no lift in revenue, this episode will hit hard—and show you exactly where you’re going wrong.Inside:Why AI pilots rarely make it to productionThe illusion of value in over-engineered pipelinesHow most data teams are disconnected from real business painWhat execs should be asking—and what most get wrongThe new playbook: Build from the pain point backward, not the tech forward🎯 “It’s not that you don’t have data. It’s that you’ve never weaponized it.”Whether you're a product leader, founder, or trying to get real ROI from your AI efforts—this episode gives you the truth most vendors won’t.Chapters(00:00) The Future of White Collar Jobs and AI(10:57) AI Tools and Their Impact on Work(20:10) The Role of AI in Healthcare(28:03) Generational Trust in AI Technology(32:15) The Future of AI in Healthcare(34:44) The Evolution of Warfare and AI(36:39) Nuclear Threats and AI Warfare(39:03) AI and Game Theory in Conflict Resolution(41:57) AI's Role in Information Management(44:05) Deep Research Tools and AI(49:51) Enhancing Communication with AI(54:18) AI in Personal and Professional Development

Everyone’s talking about AI—but almost no one is implementing it well.In this brutally honest episode of Brand in the Making, we sit down with Ian Miller, founder of AI consultancy FittedCloud and former AWS AI lead, to unpack why most enterprise AI projects crash and burn—and what smart teams do differently.From tech stack disasters to leadership blind spots, Ian breaks down:The top 3 reasons AI projects fail (and how to fix them)Why your data pipeline matters more than your LLM choiceHow to get alignment between engineers, execs, and end-usersWhat it takes to build AI maturity inside legacy orgsThe real role of AWS, cloud infrastructure, and GPU bottlenecks in today’s AI economy🎯 “AI is the easy part. The hard part is getting your people to use it.”Whether you’re a CTO, founder, data leader, or just trying to navigate the hype, this episode is your blueprint for turning AI vision into business value.Chapters(00:00) Introduction to AI in Biotech(02:03) Dr. Ian Miller's Journey in Biotech(08:07) The Evolution of Computational Biology(10:22) Generative AI in Drug Discovery(13:01) Drug Repurposing and Its Potential(18:32) Understanding MLOps in Biotech(24:35) Evolving Models and MLOps(30:28) China's Innovation Landscape(36:01) The Impact of Research Funding(37:04) Universal Basic Income and Job Displacement(44:05) The Future of AI and Software Development

Brian McKeiver, co-owner of BizStream, joins AI Lab Unfiltered to talk about how his team is using AI to enhance software development, streamline client collaboration, and rethink internal workflows. From battling AI skepticism to using GPTs to simplify dev processes, Brian breaks down what’s actually working—and what still feels like hype.He also dives into how BizStream is training up a team of “AI champions” internally, plus what he’s personally using AI for (spoiler: it’s helping with email overload).(00:00) Welcome & Studio Shoutouts(01:14) Meet Brian McIver of BizStream(02:03) From Kentico to Custom Development(03:27) The AI Use Cases That Actually Work(06:45) Internal AI Adoption & “AI Champions”(08:20) Balancing AI Skepticism & Practical Wins(10:05) GPTs for Summarizing Code and Project Notes(12:10) Getting Developers to Try AI in Workflows(14:03) Brian’s Personal AI Use & Favorite Tools(16:18) BizStream’s Focus for the Future(18:00) Final Thoughts & Where to Connect with Brian

Alex Mead, co-creator of Redmaq, joins AI Lab Unfiltered to talk about solving one of the biggest headaches in architecture—disorganized communication. From buried meeting notes to scattered feedback, Alex explains how Redmaq uses AI to turn chaos into clarity, helping architects spend less time managing and more time designing.He also shares the origin story behind the tool, why trust and privacy are baked into every layer, and what it’ll take to get more firms using AI the right way.(00:00) Meet Alex Mead & His Path from Engineering to AI(02:15) What Makes Redmaq Different from Other Tools(04:28) Solving the Chaos of Architectural Communication(07:33) How Redmaq Organizes Feedback & Notes(10:18) Training AI to Understand Context & Conversation(13:42) Will AI Replace Architects? (Spoiler: No)(15:40) Bringing Institutional Knowledge to the Surface(18:10) AI + Privacy: Redmaq’s Approach to Trust(21:16) What’s Next for Redmaq & Adoption Across Firms(24:00) Closing Thoughts & Alex’s Vision for the Future

Walter Ward III, co-founder of TiiCKER, joins the AI Lab Unfiltered podcast to share how he’s building a fintech startup that lets everyday investors unlock perks—just for owning stock. Think free Häagen-Dazs for holding shares or a discount on the Stars app if you’re a Lionsgate investor. Walter also reveals how AI powers the platform behind the scenes and shares how he uses AI personally, including building a custom executive coach GPT that gives him daily motivation in the voice of Gary Vee and Tupac.(00:00) Meet Walter Ward III & the Origin of TiiCKER(01:06) What TiiCKER Does: Perks for Stockholders(03:10) Gamifying Ownership with TiiCKER 3.0(04:50) AI-Powered Verification: How It Works(07:47) Why TiiCKER’s Workflow Was Built to Scale(09:08) AI’s Role in Future Customer Support(09:48) AI for Personal Investing: Satellite Data & Parking Lots(11:11) Compliance & Fintech Partnerships(13:28) Using AI Daily: “Coach” & “The Archivist”(16:18) Building a GPT-Based Executive Coach(18:02) Prompt Engineering Tips & AI Daily Use(20:36) Why Everyone Should Be a Student of AI(22:19) Voice Clones, Motivation & David Goggins(23:52) Using AI to Replace Friction in Daily Life(25:52) AI Therapy & Self-Discovery Prompts(27:30) AI as the Ultimate Unbiased Coach(28:09) A Motivational Sample from “Coach”(29:39) Where to Find Walter Online(30:32) Grand Rapids Plans & Final Thoughts

In this episode of AI Lab Unfiltered, hosts Drew and Pete engage with Ben Jacques from Mutually Human to explore the evolving landscape of AI personas. They discuss the integration of generative AI tools in software development, the importance of collaboration and competition in AI applications, and the potential for AI to enhance social interactions. The conversation highlights the transformative power of AI in creating functional prototypes, optimizing workflows, and improving communication through emotional intelligence. In this conversation, the speakers delve into the potential of AI, particularly in the context of social simulations and the use of personas. They discuss methodologies like the Six Thinking Hats to enhance AI interactions and the importance of customizing AI responses. The conversation also touches on the future of AI in job roles, the necessity of training AI for specific tasks, and the significance of implementation in effectively utilizing AI. Additionally, they explore the concept of adaptive user interfaces and how they can revolutionize user experiences.(00:00) Introduction to AI Personas(13:48) Understanding AI Personas and Their Applications(24:52) The Future of AI in Social Interactions(25:23) Exploring Social Simulations and Their Potential(26:15) Utilizing Personas in AI Interactions(27:14) The Six Thinking Hats Methodology(29:04) Customizing AI Responses for Better Outcomes(30:28) The Role of Personas in Collaborative AI(32:45) Human Augmentation and AI Collaboration(34:05) The Future of AI in Job Roles(36:06) Training AI for Specific Tasks(38:22) The Importance of Implementation in AI(40:25) Real-World Applications of AI in Business(42:18) Adaptive User Interfaces and Their Impact

In this conversation, John Butler from Echo X discusses the evolution of AI tools, particularly focusing on content creation and property management solutions. He shares his personal journey of overcoming discomfort with video through AI avatars and highlights the development of AI scheduling tools. The discussion also touches on regulatory challenges faced by AI communication tools and introduces 'Charlie', an AI solution designed to streamline property management tasks such as rent collection and maintenance requests. In this conversation, the speakers explore the future of automation, custom software, and the impact of AI on traditional software development. They discuss the rise of micro applications and the potential shift in the software industry as users demand more tailored solutions. The conversation also touches on the fascination with conspiracy theories and how they relate to predictions about the software landscape. Ultimately, the speakers emphasize the ongoing need for engineers and the evolving role of technology in business.(00:00) Introduction to AI and Personal Experiences(05:02) The Evolution of AI Tools and Content Creation(10:06) The Journey of Echo X and AI Scheduling Solutions(14:48) Challenges and Regulations in AI Communication(20:07) Charlie: The AI Solution for Property Management(29:19) The Future of Automation and Custom Software(32:22) Conspiracy Theories and Software Predictions(38:09) The Evolution of SaaS and Micro Applications(45:00) The Role of Engineers in a Changing Landscape

In this episode of the AI Lab Unfiltered podcast, host and guest Kim Bode discuss the integration of AI in public relations, focusing on its applications, challenges, and the importance of training AI models to align with brand voice. They explore various AI tools, the necessity of responsible AI usage in education, and the evolving landscape of AI in communication. In this conversation, the speakers explore the multifaceted impact of AI on education, the workplace, and creativity. They discuss the ethical implications of using AI-generated content, the importance of maintaining authenticity in communication, and the need for critical thinking skills in a technology-driven world. The dialogue emphasizes the balance between leveraging AI as a tool and preserving human creativity and relationships.(00:00) Introduction to AI in Public Relations(02:51) Using AI for Content Creation(05:53) Challenges of AI in Capturing Brand Voice(08:57) The Importance of Training AI Models(11:46) Navigating AI Tools for Effective Communication(14:58) The Future of AI in Public Relations(18:02) Teaching AI Responsibly in Education(22:37) Navigating AI in Education(24:15) AI's Role in the Workplace(28:31) The Balance of AI and Human Creativity(30:42) The Future of Authenticity in Content Creation(36:43) Quality vs. Quantity in AI-Generated Content(43:56) The Importance of Human Relationships in a Tech-Driven World(49:56) Empowering the Next Generation with AI

In this episode of the AI Lab Unfiltered podcast, Craig Tucker, CEO of Vern AI, discusses the origins and development of Vern AI, a technology designed to enhance emotional intelligence in AI applications. The conversation explores the complexities of human emotions, the limitations of current sentiment analysis models, and the innovative approaches Vern AI takes to improve emotional detection. Craig shares insights into real-world applications, including partnerships with mental health organizations and the integration of Vern with large language models to create more empathetic AI interactions. The episode concludes with a discussion on the future of AI in mental health and the evolving landscape of human-AI communication. In this conversation, the speakers discuss the critical need for accessible mental health care and how AI technology can play a transformative role in providing support. They explore the potential of AI to enhance therapy sessions, making them more personalized and effective. The discussion also touches on the ethical considerations surrounding AI, particularly regarding privacy and data security. The speakers emphasize the importance of overcoming fear and skepticism towards AI, highlighting its potential to revolutionize mental health care. They conclude by speculating on the future of AI in this field, suggesting that advancements will continue to improve the quality of care available to individuals.(00:00) Introduction to Vern AI and Its Origins(02:54) Understanding Emotions: A New Model(05:46) The Role of Emotions in Communication(09:04) Real-World Applications of Vern AI(11:57) Advancements in Emotion Detection Technology(14:48) Integrating Vern with Large Language Models(18:01) Future of AI: Emotional Intelligence and Human Interaction(20:59) The Impact of AI on Mental Health(24:13) Conclusion and Future Directions(28:20) The Importance of Accessible Mental Health Care(30:52) AI's Role in Mental Health Support(32:53) Enhancing Therapy with AI Technology(34:44) AI as an Augmentation Tool for Therapists(37:12) Privacy and Ethics in AI(41:22) Overcoming Fear of AI and Embracing Change(45:41) The Future of AI in Mental Health

In this conversation, Dan Hungerford, founder of EverFriends AI, discusses the intersection of AI and emotional intelligence, particularly in the context of elderly care. He shares his journey from a background in psychology to developing a mobile app that provides companionship through digital humans. The app aims to alleviate feelings of isolation among the elderly by offering personalized interactions and reminders. The conversation also delves into the technology behind the app, including its ability to learn from user interactions, privacy considerations, and the potential for early detection of cognitive decline. Ultimately, the discussion highlights the role of AI in enhancing human connections and supporting mental health. In this conversation, the speakers explore the intersection of mental health and technology, particularly focusing on the role of AI in providing emotional support and therapy. They discuss the accessibility of mental health apps globally, the importance of connection in therapy, and the generational differences in how AI is perceived. The conversation also touches on the future aspirations for AI in therapy, particularly in supporting individuals with autism and enhancing educational experiences. The speakers emphasize the need for human connection and the potential of AI to fill gaps in mental health support.(00:00) Introduction to AI and Emotional Intelligence(01:40) The Journey to EverFriends AI(03:45) Understanding EverFriends AI's Functionality(06:09) The Technology Behind EverFriends AI(10:43) Multimodal Features and User Interaction(12:17) Learning and Adapting to User Needs(14:54) Privacy and Ethical Considerations(16:42) Challenges in Designing Emotionally Resonant AI(19:10) Potential for Early Detection of Cognitive Decline(22:51) Connecting Families Through AI(25:43) AI as a Supplement to Traditional Therapy(27:35) Navigating Mental Health with Technology(30:02) Global Reach and Accessibility of Mental Health Apps(31:23) The Power of Connection: AI in Emotional Support(34:06) Generational Perspectives on AI and Human Interaction(39:50) Future Aspirations: Expanding AI's Role in Therapy(42:57) AI's Potential in Autism Support and Education(45:09) Building Connections: How People Discover AI Solutions(46:28) The Evolution of AI in Personal and Professional Life

In this episode of the AI Lab Unfiltered Podcast, the conversation revolves around the practical applications of AI in education and marketing. Rachel Hammond, an associate professor, shares her insights on how AI is transforming higher education, the challenges of integrating AI into curricula, and the ethical considerations that come with its use in marketing. The discussion highlights the importance of preparing students for a future where AI is prevalent, emphasizing the need for critical thinking and ethical decision-making skills. In this conversation, the speakers explore the evolving landscape of AI in marketing, education, and content creation. They discuss the implications of targeted advertising, the changing role of marketers, and the potential devaluation of AI-generated content compared to human creativity. The conversation also touches on the challenges of integrating AI in publishing, the importance of maintaining human-centered approaches in AI applications, and the future of AI in higher education and human resources. Personal applications of AI in classroom planning and writing are also highlighted, showcasing its utility as a tool for enhancing productivity and creativity.(00:00) Introduction to AI in Education and Marketing​(03:04) The Role of AI in Higher Education​(05:51) Navigating AI Adoption in Academia​(08:57) Bridging the Gap with AI Resources​(11:52) Ethics and AI in Marketing​(14:59) The Future of AI in Business and Education​(22:29) The Evolution of Targeted Advertising​(23:23) The Changing Role of Marketers in AI​(24:31) AI-Generated Content vs. Human Creativity​(25:23) The Challenges of AI in Publishing​(27:35) Using AI as a Writing Tool​(29:24) AI in Higher Education: Future Directions​(30:57) The Intersection of AI and Human Resources​(32:09) Bias in AI and Its Implications​(33:00) AI's Role in Classroom and Curriculum Development​(36:19) Personal Applications of AI​(40:14) Looking Ahead: The Future of AI in Education