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Join me, Nik (https://x.com/CoFoundersNik), as I interview Billy Howell (https://x.com/billyjhowell). I was excited to have Billy on because he's prolific at building apps and tools using AI, despite not having a technical background. We dive into his journey from government consulting and TPS reports to starting agencies like OX Labs and Stupid Simple Apps, now focused on building AI-powered internal tools for startups.

Billy shares his go-to AI models like OpenAI 4.0 (ChatGPT) and how he uses tools like Replit, Cursor, Claude, Make.com, N8n, and V0.dev to build apps quickly. We discuss how small business owners can leverage AI to automate processes, build useful internal tools, and even potentially replace expensive SaaS solutions by creating simple wrappers around a prompt.

We also tackle the challenge of finishing AI-built apps, managing technical debt, and the importance of being disciplined with rollback using tools like Git. Billy gives practical advice on keeping things stupid simple and even advocates for running towards things that don't scale initially.

Questions This Episode Answers:

How can someone with no technical background build useful apps using AI tools?

 What are the best AI models and platforms like Replit or Lovable for non-technical users to start building apps?

How can small businesses use AI to automate processes and build custom internal tools?

What does it mean to build an app by creating a "wrapper" around an AI prompt?

 How do you handle the debugging and finishing steps when AI builds most of the code for your app?

Enjoy the conversation!

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Love it or hate it, I'd love your feedback.

Please fill out this brief survey with your opinion or email me at [email protected] with your thoughts.

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This week we covered:

00:00 Introduction to Automation and AI Tools

03:00 The Journey from Non-Technical to Coding

05:48 Building Apps for Business Needs

09:03 Leveraging AI for Small Business Solutions

11:54 Creating Processes through Automation

14:47 The Future of CRM and AI Integration

18:08 Overcoming Challenges in App Development

20:59 Final Thoughts on Building Simple Apps

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Join me, Nik ( https://x.com/CoFoundersNik ), as I interview Liz Knopf ( https://x.com/leveragedupside ) about the latest developments in AI and what they mean for boring businesses.

This week was massive, and we're finally seeing real-world applications of AI that move beyond the hype. We dive into the recent layoffs at major tech companies like Microsoft, Meta, Google, Workday, Intuit, and CrowdStrike, discussing how they signal a shift towards prioritizing AI infrastructure and boosting efficiency.

Liz shares insights on how companies like Duolingo and Shopify are going AI-first and seeing incredible results. We also explore why, despite automation and companies like Klarna automating roles, human skills and interaction are becoming even more critical.

Plus, we get hands-on with Custom GPTs, discuss their "actions" feature for integrating with tools like Zapier via APIs, navigate the challenges of AI hallucinations, and look at tools like Notebook LM and Claude projects for extracting value from data using RAG12.

Enjoy the conversation!

Questions This Episode Answers:

How are major tech companies using AI to become more efficient?

Why are big tech companies having layoffs and shifting focus to AI infrastructure?

Are managers obsolete in the age of AI?

Why are human skills becoming more valuable as AI automates tasks?

How can AI tools help you find specific information in large documents or transcripts?

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Love it or hate it, I'd love your feedback.

Please fill out this brief survey with your opinion or email me at [email protected] with your thoughts.

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YouTube: https://tinyurl.com/nikonomicsYT

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This week we covered:

00:00 AI's Impact on Coding and Business Efficiency

03:05 The Role of AI in Workforce Changes

05:52 The Future of Management in an AI-Driven World

09:04 AI's Influence on Learning and Development

12:00 The Broader Implications of Tech Layoffs

14:53 Navigating AI Hallucinations and Custom GPTs

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Join me, Nik ( https://x.com/CoFoundersNik ), as I interview Bryan Shankman ( https://x.com/BryanShankman) . Ever wonder how tech veterans end up in home services? I sit down with Bryan, co-founder of Lead Truffle, to explore his fascinating journey from venture-backed software companies like Frame.io and TikTok to the world of service businesses.

We dive into how Lead Truffle uses AI customer service via text message and chat widgets to boost lead conversion and get jobs booked. Plus, Bryan shares some clever ways they've leveraged things like ringless voicemail for tackling accounts receivable. We also get into the weeds on how tools like Clay and AI are revolutionizing outbound sales, prospecting, and freeing up time for high-leverage activities.

Find out more below!

http://www.leadtruffle.co

Questions This Episode Answers:

How does AI specifically help home service businesses convert leads?

What unique ways can something like ringless voicemail be used beyond traditional sales?

How does leveraging AI free up time for business owners?

What is Clay, and how can AI be used with it for better outbound sales?

Why is the human touch becoming even more important as AI adoption grows?

Enjoy the conversation!

__________________________

Love it or hate it, I'd love your feedback.

Please fill out this brief survey with your opinion or email me at [email protected] with your thoughts.

__________________________

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YouTube: https://tinyurl.com/nikonomicsYT

__________________________

This week we covered:

00:00 Introduction to AI in Home Services

03:07 Innovative Solutions for Lead Management

06:02 Transitioning from Tech to Home Services

08:51 The Evolution of Customer Engagement Tools

12:09 Leveraging AI for Targeted Outreach

15:14 AI in Data Management and Lead Qualification

18:01 The Importance of Human Touch in AI Solutions

20:54 Final Thoughts and Future Directions

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Join me, Nik ( https://x.com/CoFoundersNik ), as I interview Jacob Turner ( https://x.com/TheJacobTurner ), a former professional baseball player who transitioned from the mound to managing wealth.

Jacob shares his incredible journey, from being a top draft pick to facing the humbling reality of getting sent down and ultimately pivoting to entrepreneurship with Moment Private Wealth.

We dive into the powerful analogies between sports and business, discussing the vital role of humility, handling setbacks (getting "fired"), and the unexpected importance of craving feedback for growth.

We also explore key financial considerations for entrepreneurs, including managing money, understanding risk, and navigating cashflow when your business starts generating excess capital.

Questions This Episode Answers:
What's the analogy between professional sports and entrepreneurship?
How can getting 'fired' (or setbacks) be a valuable experience for an entrepreneur?
Why is it important for entrepreneurs to accept and seek feedback?
As an entrepreneur, how should you think about managing excess cashflow?
When should an entrepreneur consider getting professional financial or wealth management help?

Enjoy the conversation!
__________________________

Love it or hate it, I'd love your feedback.

Please fill out this brief survey with your opinion or email me at [email protected] with your thoughts.

__________________________

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Apple: https://tinyurl.com/bdxbr284

YouTube: https://tinyurl.com/nikonomicsYT

__________________________

This week we covered:

00:00 The Journey of a Young Athlete

02:49 Transitioning from Sports to Business

06:11 The Reality of Professional Sports

09:05 Mindset: The Key to Resilience

12:00 The Importance of Self-Awareness

14:50 Navigating Financial Success

17:47 Risk Management in Entrepreneurship

24:25 Taking a Break After Success

25:54 Exploring New Opportunities

26:54 Investing in Healthcare and AI

27:53 Allocating Wealth Wisely

29:19 Starting with the End in Mind

30:47 Understanding Wealth Management

32:11 The Reality of Wealth

34:38 The Psychological Aspect of Wealth Management

39:28 Advice for Entrepreneurs

40:54 The Importance of Cash Reserves

43:41 When to Seek Professional Help

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Join me, Nik ( https://x.com/CoFoundersNik ), as I interview Bryant Suellentrop ( https://x.com/SullyBusiness ) about his incredible journey from running a difficult, low-margin janitorial business to building Elevate and Delegate, an offshore recruiting company doing around $700k in revenue with 50% margins.

We dive into why he closed his first business despite the effort he put in, how organic Twitter fueled his early growth with almost zero customer acquisition cost, and the lessons learned from burning cash on early paid acquisition attempts. Bryant shares his insights on the evolution of the offshore talent industry, how AI is changing the game, and why the real opportunity now lies in selling outcomes rather than just people.

This conversation is packed with lessons on picking the right "game" for your business and navigating the shifts in the market.

Questions This Episode Answers:
How did Bryant pivot from a challenging, low-margin business to a high-profit one?
What are the key differences between one-time placement fees and recurring revenue models in offshore recruiting?
How has AI impacted the demand for certain roles in the offshore talent market?
Why did Bryant choose to shut down his cleaning business instead of selling it?
If starting over today, how would Bryant leverage AI and offshore talent to sell outcomes in a specific niche?

Enjoy the conversation!
__________________________

Love it or hate it, I'd love your feedback.

Please fill out this brief survey with your opinion or email me at [email protected] with your thoughts.

__________________________

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YouTube: https://tinyurl.com/nikonomicsYT

__________________________

This week we covered:

00:00 Revenue Insights and Business Models

02:54 The Journey of Elevate and Delegate

06:12 Challenges in the Cleaning Industry

09:03 Transitioning from Cleaning to Consulting

11:56 Customer Acquisition and Marketing Strategies

14:51 The Impact of AI on Business Models

18:08 Navigating Risks in Entrepreneurship

21:03 Future Trends in Offshore Recruiting

23:57 Building Outcome-Driven Solutions

26:50 Final Thoughts and Advice

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Join me, Nik (https://x.com/CoFoundersNik), as I interview Michael Greenberg (https://x.com/@gentoftech), serial entrepreneur and AI guru. Michael shares how he's using AI in his multiple businesses, from ghostwriting to podcast booking.

We dive into the world of AI models, discussing which ones Michael uses daily, like Gemini 2.5 Pro and O3 mini high, and why he's moved away from others like GPT 4.0 for most tasks. Learn the critical difference between standard models and powerful reasoning models, and why the latter are essential for business logic, complex problems, and even math.

We also unpack the importance of the context window and how models like Gemini excel here. Plus hear a cautionary tale about a $4,000 AI API bill and how they fixed it.

Enjoy the conversation!

Questions This Episode Answers:
What AI models should I use for business tasks?
What's the difference between standard and reasoning AI models?
Why is the context window important for AI?
How can Anthropic's Workbench help me write better prompts?
How do I avoid huge AI API costs?
__________________________

Love it or hate it, I'd love your feedback.

Please fill out this brief survey with your opinion or email me at [email protected] with your thoughts.

__________________________

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Spotify: https://tinyurl.com/5avyu98y

Apple: https://tinyurl.com/bdxbr284

YouTube: https://tinyurl.com/nikonomicsYT

__________________________

This week we covered:

00:00 The Cost of AI in Business

02:58 Choosing the Right AI Models

05:55 Understanding Reasoning Models

08:50 The Importance of Context in AI

12:12 Future of AI Models

15:05 Prompt Engineering and AI Tools

18:03 Real-World Applications of AI

21:12 Managing AI Costs and Usage

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Join me, Nik (https://x.com/CoFoundersNik), as I interview Liz Knopf (https://x.com/leveragedupside), about the seismic shifts happening in the tech world thanks to AI.

We dive into why, for the first time in over 20 years, Google's seemingly invincible search business is showing chinks in the armor as ad dollars start flowing elsewhere. We explore the classic Innovator's Dilemma and how big players like Google and Meta are navigating these turbulent waters, often contrasting their approaches. But it's not just about the giants; we discuss how AI is becoming the great equalizer, allowing nimble, smaller companies to achieve incredible growth.

Plus, Liz shows off some mind-blowing practical applications of AI tools like Meta AI, Grok, and Claude for everyday business tasks – think generating formatted documents like PDFs and visualizing complex processes with just a few clicks.

Tune in to see how the business landscape is rapidly changing!

Questions This Episode Answers:

Why is Google's traditional search revenue declining after 20 years?

Where are ad dollars likely to shift as AI changes how people find information?

How does the Innovator's Dilemma explain the challenges facing large tech companies today?

Can small businesses realistically compete with tech giants using AI?

What practical AI features are available right now to help with tasks like documentation and visualization?

Enjoy the conversation!

__________________________

Love it or hate it, I'd love your feedback.

Please fill out this brief survey with your opinion or email me at [email protected] with your thoughts.

__________________________

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Apple: https://tinyurl.com/bdxbr284

YouTube: https://tinyurl.com/nikonomicsYT

__________________________

This week we covered:

00:00 The Evolution of Search and Its Impact

06:54 The Innovator's Dilemma: Google's Challenge

14:05 AI's Role in Business Transformation

20:08 Addressing Tech Debt and Organizational Challenges

30:05 The Future of AI Tools and Their Applications

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Join me, Nik (https://x.com/CoFoundersNik), as I interview Corey Pierson about his journey building a SaaS application, PetDocument, entirely with AI without any prior coding experience.

We dive into how he leveraged AI tools like Lovable AI to turn a "fairy tale business idea" into a live, functional platform at petdocument.com, solving a real-world problem for pet owners.

Learn about his experience using natural language prompting instead of traditional coding and how he navigated the process from idea to launch in a matter of months.

Questions This Episode Answers:
What's your business and how are you using AI?
What is your professional background?
Did you have any prior coding experience?
How did you actually build this SaaS platform?
How long did the entire building process take?
Enjoy the conversation!
__________________________

Love it or hate it, I'd love your feedback.

Please fill out this brief survey with your opinion or email me at [email protected] with your thoughts.

__________________________

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Apple: https://tinyurl.com/bdxbr284

YouTube: https://tinyurl.com/nikonomicsYT

__________________________

This week we covered:

00:00 Harnessing AI for SaaS Development

02:57 Identifying Real-World Problems

06:13 Building a Pet Documentation Platform

09:07 The Development Process and Tools Used

12:02 Leveraging AI for Coding Assistance

15:11 Final Thoughts and Future Aspirations

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Join me, Nik (https://x.com/CoFoundersNik), as I interview Raleigh Williams (https://x.com/theraleighwill). Raleigh's path wasn't typical; it started with a panic attack just 30 days into his career as an attorney, a path he'd chosen largely to please his dad. This pivotal moment pushed him to leave the security of law and explore entrepreneurship.

After trying several ventures that didn't work out, he found his footing with escape rooms, eventually building a business empire that included trampoline parks and axe throwing, leading to a $26 million exit. But the journey wasn't just about business success; he shares how he navigated immense personal challenges, including his wife's battle with stage three breast cancer.

We dive into his philosophy of finding direction through the negative path – knowing what you don't want – the importance of creating space in your life, telling the truth, and learning to say no to find your true purpose.

Questions This Episode Answers:
How can a crisis like a panic attack be a catalyst for career change?
How do you find courage to leave the "safe" path when others disapprove?
What is the "negative path" and how can it guide your entrepreneurial journey?
How did navigating intense personal challenges shape the guest's life and work philosophy?
What practical daily steps can help you find space and connect with your inner self while working?
Enjoy the conversation!
__________________________

Love it or hate it, I'd love your feedback.

Please fill out this brief survey with your opinion or email me at [email protected] with your thoughts.

__________________________

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Spotify: https://tinyurl.com/5avyu98y

Apple: https://tinyurl.com/bdxbr284

YouTube: https://tinyurl.com/nikonomicsYT

__________________________

This week we covered:

00:00 From Law to Entrepreneurship: A Life-Altering Decision

04:49 Building the Escape Room Empire

09:53 Navigating Personal Challenges: Cancer and Courage

15:11 The Journey of Self-Discovery and Business Growth

19:56 Finding Purpose Beyond Panic: The Negative Path

25:45 Finding Space for Curiosity

30:02 Navigating Chaos and Truth

34:53 Coping with Life's Challenges

39:59 The Journey to Authenticity

45:13 Creating Time for Reflection

49:50 Practical Steps to Discover Your Call

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Join me, Nik (https://x.com/CoFoundersNik), as I interview Peter Correia (https://x.com/BizScoutGuy). Get ready for a fascinating dive into the world of AI! Peter, who was into AI way before it was the hot topic, shares his wealth of experience from deep learning to the latest large language models.

We unpack the differences between models like Claude, ChatGPT, and even the surprisingly useful Grok, exploring what each is best for, from brainstorming and coding to technical problem-solving. We also tackle the mystery of context windows and how they impact AI performance, plus Peter gives us a sneak peek into using MCPs to automate tasks and integrate AI with everyday business tools like Notion.

Questions This Episode Answers:
What's the difference between popular AI models like ChatGPT, Claude, and Grok?
When should you use a more technical model like O1 versus a general one?
How can AI be used for quantitative tasks like analyzing spreadsheets without hallucinating data?
What are MCPs and how can they help automate business workflows?
What's the deal with context windows and how does the size affect AI responses?
Enjoy the conversation!

__________________________

Love it or hate it, I'd love your feedback.

Please fill out this brief survey with your opinion or email me at [email protected] with your thoughts.

__________________________

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Spotify: https://tinyurl.com/5avyu98y

Apple: https://tinyurl.com/bdxbr284

YouTube: https://tinyurl.com/nikonomicsYT

__________________________

This week we covered:

00:00 Introduction to AI and Personal Journey

02:52 Exploring AI Models and Their Applications

06:07 Understanding Context Windows in AI

09:00 The Role of AI in Business and Data Analysis

11:51 Leveraging AI for Project Management and Development

15:09 Future of AI and Its Integration in Workflows

17:57 Conclusion and Call to Action