Are you the bottleneck in your own business? Gabe Arnold, owner of Simple Operations and author of Passenger Seat Leadership, explains how founders escape the "driver trap," cut their hours from 60 to 30, and scale without burning out.

In this episode of the Next Build Podcast, Mason talks with Gabe about why "what got you here won't get you there," and the practical steps founders can take to step back from day-to-day work without losing momentum. Gabe shares the 4R job description (role, responsibility, results, requirements), why tracking your time exposes how many roles you're secretly holding, and why hiring more people without clarity causes massive slowdowns.

In this episode, you'll learn:

✅ What the founder "driver trap" is and how to get out of it

✅ The first two steps to stop working 60+ hour weeks

✅ How to lead from the passenger seat with one critical number

✅ When AI helps your business and when it creates chaos

✅ What founders should do with the time they get back

⏱️ CHAPTERS

00:00 Introduction: Gabe Arnold & Simple Operations

00:40 The founder driver trap

02:14 Driver vs. dispatcher: an AI analogy

06:11 From 60 hours to 30: open loops and leverage

09:18 Why founders struggle to let go

11:44 Traction & EOS: a tough take

14:18 Growth without a system

17:04 Leading from the passenger seat

20:56 "It's faster if I do it myself"

22:49 Hiring without clarity

24:10 Should AI be in the driver's seat?

27:39 What to do with the time AI frees up

29:37 Advice to his younger self

30:38 Where to connect with Gabe

Connect with Gabe: https://www.linkedin.com/in/gabearnold

🔗 OTHER LINKS
https://linktr.ee/buildwithmm

👍 If this episode helped you, like, subscribe, and share it with a founder who's stuck in the driver's seat.

#Zaptime #AITimeTracker #Productivity #FounderBurnout #ScalingABusiness #NextBuildPodcast #Entrepreneurship #Leadership #SmallBusiness #BusinessGrowth #Delegation #FounderMindset #BusinessSystems #EOS #CEO #AIForBusiness #PassengerSeatLeadership #WorkLifeBalance #BusinessOwner #Productivity #EntrepreneurPodcast #SimpleOperations #GabeArnold

About the guest
Jeffrey Glick became CFO of a quarter billion dollar company at age 30, a role he held for sixteen years while helping grow the business to roughly 2 billion dollars in annual sales of precious metals to automakers including GM, Chrysler, Ford and Mitsubishi. Before that, he worked in M&A for Salomon Brothers, traveling the country to acquire oil refineries, pipelines and shipping companies. After his company's ownership changed hands around 2008, he founded Startup U, where he now works as a fractional CFO and compliance advisor for private equity firms, VCs, hedge funds and their portfolio companies.

What this episode covers

• Why a business can look profitable and still be unsellable
• The real difference between an accountant, a controller and a CFO
• A window manufacturer case study on why overall margin numbers can hide the real problem
• Why working hard doesn't always mean a business is growing
• How companies waste money on AI without a plan or a way to measure return
• Why middle managers need to verify AI output instead of trusting it blindly
• The risk of pasting confidential contracts and documents into public AI tools
• How to tell a real AI consultant from a bot pretending to be one
• What a quality of earnings report is and why you need one before going to market
• How personal expenses run through the business quietly lower its sale price
• Why Jeffrey tells owners to prepare two to three years before trying to sell

Key moments
0:00 Introduction and what Jeffrey does as a fractional CFO
1:34 From the Bronx to Salomon Brothers to running a 2 billion dollar company
7:20 Has the CFO role changed? Accountant vs. controller vs. CFO
10:09 Case study: why "50% margin" can hide a much bigger problem
12:09 Why working hard doesn't always mean a business is growing
13:48 AI adoption vs. AI value, and how companies overspend on tokens
15:49 What middle managers should actually be doing with AI
18:59 Local AI models vs. cloud tools from a CFO's perspective
23:04 The silver tsunami: preparing baby boomers to sell
25:06 Does AI change how business value gets built?
26:35 Protecting your business from fraud, bots and leaked data
29:18 The biggest blind spot that keeps owners from a full price sale

🔗Connect with Jeffrey Glick:
https://www.linkedin.com/in/jeffreyglick

🔗 OTHER LINKS
https://linktr.ee/buildwithmm

#Zaptime #AI #AIforBusiness #Productivity #CFO #FinanceLeadership #FinancialPlanning #CFOInsights #SmallBusinessFinance #NextBuildPodcast #BusinessPodcast #FinancePodcast #EntrepreneurPodcast

This episode is brought to you by Zaptime, the AI-powered productivity and workforce analytics platform that shows you where your team's time actually goes.

Can AI actually learn a person well enough to pick a gift they'll love? Carl Richards, founder of Govava, holds a patent on an AI and machine-learning system built to solve exactly that, and he explains why almost every gift you've ever bought online was a generic guess dressed up as a recommendation.

Carl spent over a decade building Govava after struggling to find personalized gifts for his three daughters as their interests diverged. In this episode he breaks down how Govava's patented approach combines a person's "persona" and "active lifestyle" to move past generic gifting, why AI chatbots like ChatGPT can't actually solve the gifting problem the way people think, and how his AI concierge "Ava" is designed to feel less like a chatbot and more like a personal shopper who remembers you.

In this episode, we cover:

• Why 10 billion dollars is lost on unwanted gifts every year, and 1 in 3 Christmas gifts get returned
• How Carl got a patent approved for an AI/machine-learning gift system when the patent office initially rejected it
• "Persona" vs. "active lifestyle": the two-part framework behind every Govava recommendation
• Why asking ChatGPT for a gift idea isn't the same as actually finding the right gift
• How Govava's coupon API automatically applies savings across 8,000+ retailers like Walmart, Etsy, and Amazon
• Inside Ava, Govava's AI concierge, and why she's built to remember you instead of treating every shopper the same
• How Govava protects user data and why it never sells what you tell it about the people you're shopping for
• Why Carl compares the Govava experience to walking into Disney, not scrolling through Amazon
• Govava's claimed 90%+ gift accuracy rate versus the industry's 1-in-3 return rate
• What the future of AI-driven, on-demand shopping looks like, and why Govava is actively raising investment ahead of its October relaunch

This episode of the Next Build Podcast is brought to you by Zaptime, an AI powered productivity and workforce analytics platform that helps teams understand how time is actually being spent, surface real insights instead of guesswork, and get more done without adding more tools to the stack. If you want to see how Zaptime can bring clarity to your team's productivity, visit https://zaptime.ai and book a free demo today.

🔗 LINKS
https://linktr.ee/buildwithmm

#Govava #AIGifting #GiftGiving #ArtificialIntelligence #Ecommerce #Entrepreneurship #TechStartup #ShoppingTech #NextBuildPodcast #Zaptime #PersonalizedShopping #StartupFounder #AIforBusiness #WorkforceManagement

Peter has coached and acquired businesses across software, cloud services, construction, communications, and education. In this episode he explains why founders should pick their ideal buyer five years before they ever go to market, why "sweat equity" means nothing to an acquirer, and why AI is reshaping coaching, accountability, and business valuation all at once.

In this episode, we cover:

• Why 90% of businesses in the UK are structurally unsellable
• The difference between building for an exit and building for an acquisition
• Why you need an "ideal buyer profile," not just an ideal customer profile
• The real reason business brokers turn founders away at valuation time
• Where AI genuinely helps in business coaching, and where it just blows smoke
• Why human capital is the #1 risk buyers look for in due diligence
• How to turn a "legacy business" into a technology first business
• What happens emotionally when a founder has to give up control after a sale
• Why IP, recurring revenue, and predictable income will define company value over the next 5 years
• Peter's new book "Your Business Sucks" and the 8 book ecosystem behind it

Connect with Peter Boolkah:

🔗 https://www.linkedin.com/in/peterboolkah

Peter's Book: Your Business Sucks

This episode of the Next Build Podcast is brought to you by Zaptime, an AI powered productivity and workforce analytics platform that helps teams understand how time is actually being spent, surface real insights instead of guesswork, and get more done without adding more tools to the stack. If you want to see how Zaptime can bring clarity to your team's productivity, visit https://zaptime.ai and book a free demo today.

🔗 LINKS

https://linktr.ee/buildwithmm

#BusinessExit #Entrepreneurship #MergersAndAcquisitions #BusinessCoaching #ExitStrategy #NextBuildPodcast #SmallBusinessGrowth #BusinessValuation #FounderMindset #AIforBusiness #BusinessPodcast #Acquisitions #Zaptime

Dr. Kaplan studied under Herbert Simon and Allen Newell, two of the scientists who named the field of artificial intelligence at the 1956 Dartmouth Conference. In this episode he traces AI's path from the AI winter of the 1980s and 90s through today's explosion, and explains why almost all of that progress comes down to raw computing power rather than new algorithms.

In this episode, we cover:

• Why AI stopped being a "tool" and became a "user of tools," and what that shift means for safety and regulation
• The real reason AI exploded in the last few years (hint: it's compute, not new breakthroughs)
• Why general intelligence stayed hard for decades, from chess to self-driving cars
• AGI predictions for 2029/2030, and why AI researchers now agree it's close
• Why human attention and judgment will become more valuable, not less, as AI scales
• How to actually deploy AI inside a company: treat it like a smart intern, overcommunicate, and read its reasoning trace
• A real story from building Zaptime, when an early AI agent refused to flag anything wrong in the productivity data because it was trying to protect everyone
• Mark Zuckerberg's personalized superintelligence memo and why decentralized, "democratic" AI may be safer than one giant closed model
• Why constitutional AI and Asimov's laws of robotics both fall short, and what a distributed, checks-and-balances approach could look like instead

Connect with Dr. Craig Kaplan:
Superintelligence.com: https://superintelligence.com

This episode of the Next Build Podcast is brought to you by Zaptime, an AI powered productivity and workforce analytics platform that helps teams understand how time is actually being spent, surface real insights instead of guesswork, and get more done without adding more tools to the stack.
If you want to see how Zaptime can bring clarity to your team's productivity, visit https://zaptime.ai and book a free demo today.

#ArtificialIntelligence #Superintelligence #AGI #AISafety #FutureOfWork #Zaptime #NextBuildPodcast #AIAgents #TechPodcast #Productivity

Elias unpacks why "just getting more traffic" is the wrong goal, how to turn your website into your best 24/7 salesperson, and why brand messaging in the first 5 seconds can make or break a lead. He also goes deep on SEO vs. GEO (Generative Engine Optimization) vs. AEO (Answer Engine Optimization), programmatic and semantic SEO at scale, and how AI has cut his build times from weeks to days — without cutting the value he delivers to clients.

If you're a business owner, agency owner, or marketer trying to figure out where AI fits into your website, branding, and lead gen strategy, this episode is packed with real, practical insight.

What we cover:

• How websites and design have evolved over 17 years
• Why "more traffic" isn't the goal
• Why you need a solid foundation before paid ads
• Websites as an asset, not an expense
• Are traditional websites going away?
• How to choose the right AI stack for your business
• SEO vs. GEO vs. AEO explained
• The biggest mistakes business owners make with AI
• What SEO, branding & AI will look like in 5 years
• How to audit your website and know if it's working

This episode is brought to you by Zaptime, AI time-tracking software that automatically tracks where your hours go, names your single biggest time sink, and turns billable hours into invoices in one click. Built for professionals billing $200+/hour who want to reclaim time and bill for what they're actually worth.

Book a free demo at https://www.zaptime.com

Connect with Elias Curtis: 🌐 Transform Design: https://transformdesign.com

🔗 LINKS
https://linktr.ee/buildwithmm

#NextBuildPodcast #AIMarketing #WebDesign #SEO #GEO #AEO #ProgrammaticSEO #DigitalMarketing #LeadGeneration #SmallBusinessGrowth #AIAutomation #Branding #BusinessPodcast #Entrepreneurship #WebsiteDesign #AIforBusiness #NextBuildPodcast #Zaptime

Anne Cantera is an AI consultant and conversation designer who left enterprise to start Elementyl Intelligence, a consultancy built for underserved, minority owned, female owned, veteran owned, and disability owned businesses. Her work sits at the intersection of omnimodal design, conversational AI, and what she calls trust design.

In this conversation she unpacks emotional debt and context debt, why "set it and forget it" is the most expensive assumption in AI right now, the gap between a skilled AI operator and a slop generator, and why governance belongs on day one instead of after the incident.

WHAT WE COVER

• Why bolting AI onto an existing offering keeps failing at the enterprise level
• Emotional debt: how one bad interaction erases two years of good ones
• The interview technique Anne uses to make AI extract her thinking instead of replace it
• The one dollar truck, and who is on the hook when a chatbot goes off the rails
• Designing the right interface for the moment: voice, chat, or neither

BROUGHT TO YOU BY ZAPTIME
Anne says the real wins are in repetitive, low risk work, and that if you watch the seconds and the minutes, the hours take care of themselves. That is the whole idea behind Zaptime, AI time and workforce management that gives those hours back to your team.
https://zaptime.ai

🔗 LINKS
https://linktr.ee/buildwithmm

#AIStrategy #ConversationalAI #AIAgents #SmallBusinessAI #TrustDesign

David Wilson, EVP of Digital Marketing at Boston agency Zozimus, joins the Next Build Podcast to explain why the twenty-year Google playbook is running out of road, and what to do about it. He walks through the practical first moves: checking what AI actually knows about your business, rewriting the About Us page nobody has touched since launch, fixing your Google Business Profile, and deciding whether to publish the pricing and competitor comparisons AI needs to recommend you. He also gets into why "cited and mentioned" is the new ranking, why the most valuable traffic is quietly leaving Google, and which marketing jobs are about to disappear. If you are a business owner who feels behind on this, his answer is refreshingly small: pick one thing, hook AI up to your analytics, and start asking it questions.

Brought to you by Zaptime: https://zaptime.ai

Zaptime is AI time intelligence for people whose hours are expensive. It tracks where your time actually goes, names your biggest weekly time sink, shows where AI can win those hours back, and turns billable time into a one-click invoice.

🔗 LINKS

https://linktr.ee/buildwithmm

They cover how to get AI to write in your actual voice instead of generic "AI slop," the LinkedIn profile mistakes she sees constantly, and why repetition, not reach, is what makes you memorable online. A practical conversation for anyone rethinking their career, content, or brand in the AI era.

In this episode of the Next Build Podcast, Brian Beck, founder of Proxurve Solutions, an Indianapolis based cybersecurity and AI consulting firm helping small and medium businesses build AI strategies that don't fall apart. Brian breaks down why AI hasn't changed the fundamentals of cybersecurity, why "I want AI" is not a strategy, and what actually separates the businesses getting real value from AI from the ones burning budget and calling it innovation.

If you've ever wondered whether your organization is actually ready for AI, this conversation will tell you.

From AI automation and search engine changes to branding, content strategy, local SEO, and scaling online businesses, we break down what’s actually working and where the industry is headed next. The conversations are raw, practical, and focused on real-world implementation rather than theory.

Whether you're an entrepreneur, marketer, agency owner, or someone fascinated by how AI is reshaping business and the internet, this podcast delivers meaningful insights, actionable ideas, and honest discussions about the technologies changing the world in real time.