Do Good Work is not a label but a way of living. It is the constant and diligent effort to achieve a new level of excellence in one’s own life. It is the hidden inner beauty behind the struggle to achieve excellence. It is not perfect but imperfect. It is the effort, discipline and focus that often goes unnoticed. The goal of this podcast is to highlight that drive. The guests I have on this show emulate this drive in their own special way. You’ll be able to apply new ideas into your own life by learning from them. We will also have 1on1 episodes with me where we’ll dive into my own experiences with entrepreneurship and leadership. Every episode is designed to provide you with ideas that you can apply and grow in excellence in all areas of your life, business and career. Do Good Work, Raul
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May 15, 2026Episode 32937 min
How AI Will Evolve the 7 Parts of Your Consulting Business Model
How AI Will Evolve the 7 Parts of Your Business Model: Leverage AI to enable you to solely focus on client relationships, belief and the nuances of your work00:00 The Bold Pricing Vow01:42 AI Labs Enter Services03:29 Your Offer Is Not The Moat05:00 Seven Model Ingredients06:47 How AI Changes Each Part15:25 The Evolved Model Blueprint25:26 Three Breakthrough Signals29:49 Four Steps To Redesign36:53 Closing Call To EvolveSubstack Version of this podcast: https://dogoodwork.substack.com/p/how-ai-will-evolve-the-7-parts-of
May 14, 2026Episode 32820 min
What Happens When a College Makes Entrepreneurship Mandatory for 100% of Students with Jeffrey Meade
In this episode, I talk with Jeffrey Meade, founding director of entrepreneurship at Paul Quinn College, about the school’s “Every Quinnite is an Entrepreneur” program, where by 2028 every student must launch a real business that generates revenue before graduating. Jeff explains why traditional schools optimize for employment but the job market is changing, making entrepreneurial thinking—creativity, adaptability, and problem-solving—more essential. We dig into what qualifies as a “real business” (no fixed revenue threshold, but real customers, pivots, and an MVP mindset), why they focus on solving a core problem before layering in AI, and the mindset shift first-generation and Pell Grant students must make from “don’t fail” to “fail fast” in a safe learning environment. Jeff also shares how he’s open sourcing the model through case studies and a podcast, plus where to learn more.00:45 Why Entrepreneurship Now03:38 Mandatory Student Ventures04:35 MVPs And First Sales06:52 AI Tools Problem First10:31 From Scarcity To Confidence13:06 Safe Space To Fail15:18 Open Sourcing The Model17:29 Where To Learn MoreConnect with Jeffrey: https://paulquinn.edu/entrepreneurshipjeff-meade.comjmeade@pqc.eduhttps://www.linkedin.com/in/jeffmeadeConnect with Raul: • Work with Raul: https://dogoodwork.io • Free Growth Resources: https://dogoodwork.io/resources
May 12, 2026Episode 32735 min
Why Calling Your AI "Intelligent" Is a Leadership Mistake with Patrick Rooney, Founder of Leonis Strategy
In this episode, I interviewed Patrick Rooney, a cognitive science–trained AI practitioner and founder of Leonis Strategy, about how founders mischaracterize AI by collapsing “scripted autonomy” (agents doing tasks while you step away) into personhood autonomy (will, rights, interiority). Patrick argues this isn’t just sloppy language but a leadership issue that shapes how teams relate to technology. They discuss why LLMs are plausibility engines rather than truth-seekers, how humans can pursue truth, beauty, and goodness for their own sake, and why leaders must own inputs, outputs, and responsibility instead of outsourcing judgment. We explored why LLM training is text-bound and disconnected from lived experience, the appearance-versus-reality problem behind Turing-test thinking, practical cautions around anthropomorphizing AI, and why doubling down on in-person human connection is a strategic response to AI at scale.01:53 LLMs Are Plausibility Engines05:10 Leadership And Culture Values07:34 Why LLMs Aren't Intelligent08:54 Turing Test And Training Limits12:42 Language Detached From Reality14:48 Personhood Rights And Ethics19:01 Anthropomorphism Risks19:34 Human Ownership Mindset20:25 Outsourcing Your Thinking22:24 IP Training Fears24:34 Responsibility Still Human28:41 Leading In AGI Hype29:38 Grounding In Real LifeConnect with Patrick: • https://leonisstrategy.com/• https://www.linkedin.com/in/prooney1/Connect with Raul: • Work with Raul: https://dogoodwork.io/apply • Free Growth Resources: https://dogoodwork.io/free-growth-resources
May 7, 2026Episode 32632 min
The Friction With AI Adoption from CEOs Vantage Point with Jim Ristuccia with Vistage
In this episode, I’m joined by Jim Ristuccia, a former US Naval officer, founder/CEO, and Vistage Chair in San Diego who leads peer groups for CEOs of $5M+ companies and small business owners in the $1–10M range. We break down what actually happens inside a Vistage meeting—especially the “issue processing” that surfaces blind spots through uncomfortable but growth-producing questions. Jim shares how AI started showing up consistently after a 2024 speaker session, including a case where an IP law firm put its team through AI bootcamps, tripled personal productivity, and grew revenue 50–60% in a year. We discuss the adoption gap (CEOs vs. leadership teams vs. employees), why employees often feel threatened, and how leaders can create psychological safety. We also dig into practical implementation via AI champions, committees, process mapping, low-hanging-fruit use cases, and measuring ROI through time savings, productivity, and revenue.01:56 What Vistage Really Is02:45 Issue Processing Secret Sauce04:46 When AI Hit the Groups06:43 Why Some CEOs Lag on AI08:44 Use Cases vs Business Model Shifts09:45 AI Readiness and Industry Friction11:20 Leading Change and Finding Use Cases13:25 Prompts Training and Psychological Safety15:01 AI Champion and Process Mapping16:04 Why People Quit16:32 Build AI Champions17:58 Pick Use Cases Fast18:33 Measuring AI Impact20:00 Beyond Time Savings21:02 Culture and Safety23:48 Compliance and Knowledge24:32 Jobs and Business Models27:38 Adoption Takes TimeConnect with Jim: • https://jimristuccia.com/Connect with Raul: • Work with Raul: https://dogoodwork.io• Free Growth Resources: https://dogoodwork.io/resources
May 4, 2026Episode 32548 min
What Actually Happens to Your IP and Labor Costs When AI Gets Cheaper with Thadd Ruszkowski, CTO at Fuzati
In this episode, I’m joined by Thaddius Ruszkowski, CTO at Fuzati, who’s built software platforms for over a decade, from 25-person internal workflow systems to consumer platforms with millions of users. Thadd isn’t just theorizing about AI agents; he’s running a fleet of them in parallel every day across multiple projects. We dig into what happens to value, intellectual property, and labor as production costs collapse, and why efficiency is only the opening round, not the real competitive advantage of AI. We also talk about managing parallel agents without losing your mind, the comeback of hardware, why on-prem/local will matter more than most people think, and why IP is actually more valuable now in a world flooded with slop. Plus, how he built an early chatbot trained on the writings of St. Thomas Aquinas.03:12 Working With Agents04:44 Aquinas Chat Origins10:28 Beyond Efficiency20:49 Net New Value24:28 Create Net New Value25:02 Decouple Labor From Value27:58 Outcome Value Shift30:26 Future Digital Assets34:35 Three AI Futures37:58 IP And Distribution40:56 Local Hardware Shift42:42 Client AI DisclosureConnect with Thadd:https://www.linkedin.com/in/thad-ruszkowski/Connect with Raul: • Work with Raul: https://dogoodwork.io • Free Growth Resources: https://dogoodwork.io/resources• Connect with Raul on LinkedIn (DMs open): https://www.linkedin.com/in/dogoodwork/
May 1, 2026Episode 32444 min
What AI Native Consulting Actually Looks Like: The 4 Stages
What AI Native Consulting Actually Looks Like: The 4 Stages00:00 Why AI Native Matters02:26 Four Stage Roadmap03:10 Stage One Enhancement06:39 Stage Two Augmentation14:15 Stage Three Parallel Ops18:43 Agentic Workflow Examples24:17 Stage Four Autonomy33:10 Autonomy In Practice37:36 Self Diagnostic Recap41:52 Firm Of The FutureLink to the full Substack: https://dogoodwork.substack.com/p/what-ai-native-consulting-actually
April 28, 2026Episode 32328 min
Why Your Business Tensions Are a Competitive Advantage with MissingLogic Co-Founders Dr. Tracy & Michelle Troseth
In this episode, I sit down with Dr. Tracy Christopherson and Michelle Troseth —co-founders of Missing Logic and authors of Polarity Intelligence—to talk about a major pivot they made from serving healthcare leaders to serving entrepreneurs, and how they had to use their own polarity framework when tension rose in their partnership. We unpack how to tell the difference between solvable problems and ongoing polarities, why “problems” that keep returning are often tensions to manage, and how to map polarities by identifying the benefits and risks of each pole, defining actions, and watching early warning signs. We also discuss identity shifts for thought leaders, the role of healthy relationships and meaningful dialogue on teams, and practical ways to measure and monitor tensions. 01:15 Why They Pivoted03:36 Alignment and Identity06:39 Walking Polarity Pair09:02 Problem vs Polarity11:05 Mapping and Warning Signs14:04 Tech and Dynamic Balance17:46 Working Through Tension22:39 Dialogue and ResistanceConnect with Dr Tracy Christopherson and Michelle Troseth.: • www.polarityintelligence.com www.missinglogic.comhttps://www.linkedin.com/in/michelletroseth/https://www.linkedin.com/in/tracy-christopherson/https://www.instagram.com/polaritypowerpair/https://www.facebook.com/polaritypowerpair/Connect with Raul: • Work with Raul: https://dogoodwork.io• Free Growth Resources: https://dogoodwork.io/resources
March 18, 2026Episode 32226 min
How AI Is Creating the 3rd Form Factor of Digital Products
Most conversations about AI in consulting stop at productivity. Doing the same thing faster. That's the wrong frame entirely.In this episode, I break down the three form factors for digital products: information products, software products, and what I'm calling actors. An actor is an AI agent or multi-agent orchestration that deploys your expertise on your behalf without requiring your ongoing presence at every step. The distinction that matters: an actor becomes a producer when it generates real market value, not just activity.I walk through how I built this into my own content pipeline (four hours down to fifteen minutes), how clients are using actors to overdeliver on their initial offer at 2-3x the going rate, and why "efficiency" is the wrong frame for what's actually happening. This is the next piece in a series. The Services Stack covers the thesis. The New Value Quadrant covers pricing. The Post Scope Era covers practical sales and delivery changes. This episode covers the new form factor that makes all of it possible.Key topics covered:What a "form factor" actually means and why it matters for how you price and packageForm Factor 1: Information products (ebooks, courses, coaching, communities) and the key person problemForm Factor 2: Software products and why they require a team and capitalForm Factor 3: Actors, AI agents that produce outcomes on your behalfThe distinction between an agent that acts and a producer that creates net new market valueWhy your methodology, positioning, and expertise dictate the value an actor createsReal example: content scheduling from four hours to fifteen minutesHow clients are using actors to deliver 2-3x more value at standard pricingEfficiency vs. production: doing the same thing faster vs. creating something newWhy speed to value creation might be the real variableHuman flourishing as the real goalThree steps to build your first actorCHAPTERS00:00 The Market Votes With Its Dollars
02:05 Every Digital Product Follows the Same Arc
03:00 What a Form Factor Actually Is
03:45 Form Factor One: Information Products and the Key Person Problem
05:30 Form Factor Two: Software Requires a Team
06:30 Form Factor Three: Actors
08:45 Acting Is Not Producing
10:15 From Four Hours to Fifteen Minutes
13:30 When Client Agents Become Sales Mechanisms
17:15 Skip the Course, Skip the Login, Go Straight to Value
18:00 What Agencies Charge $5,000 a Month For
21:00 What If Speed to Value Is the Variable?
23:00 When You're Stuck in Delivery, You Stop Building
24:30 Three Steps to Build Your First ActorWebsite: https://dogoodwork.ioNewsletter: https://dogoodwork.substack.comhttps://dogoodwork.substack.com/p/how-ai-is-creating-the-3rd-form-factor
March 13, 2026Episode 32115 min
On Creating Net New Value
What happens when you stop thinking about AI as a replacement tool and start thinking about it as a value creation engine? In this episode, Raul shares the paradigm shift he taught his 4-year-old son about money and value creation, rebuts Mark Cuban's argument about AI token costs, and walks through how to find your own net new value as a service founder or consultant.Chapters00:00 - A 4-Year-Old's Take on How Money Works (and Why He's Right)01:30 - The Highest Calling: Why We're Meant to Create, Not Just Execute02:30 - Mark Cuban Is Right About Token Costs. He's Wrong About the Goal.04:00 - What Net New Value Actually Is (and Why You're Stuck Without It)05:00 - The Key Distinction: Efficiency Is Not Creation06:00 - How I Compressed 12 Weeks of Work Into a Month (Without Outsourcing My Thinking)07:00 - The Test: Are You Still in Replacement Mode?08:00 - The Firm of the Future: 70% Agentic, 30% Human, 100% Intentional09:30 - Your Offer Dictates Everything. Start There.11:00 - What I Learned Spending Millions in Direct Response About Upsells12:30 - Proactive Value: Anticipate Your Client's Next Problem Before They See It13:00 - Be a Creator and Inventor. Tinker. Play. Build for Fun.
March 10, 2026Episode 32046 min
Marketing Leadership from the .com Boom to the AI Revolution: A Conversation with John Schultz on what Clients Want Today (Hint It’s Not An Agency)
In this episode, Raul and John discuss why hiring an agency feels risky today—cost, quality, outcomes, and commoditized “SEO/PPC shop” buying—then explore a shift toward providing open-ended marketing leadership focused on strategy, positioning, and execution using a mix of people, AI, automation, and outside resources. They argue project fees don’t fit a fast-changing landscape and consider retainers plus tool costs, while noting some work (like nailing brand positioning) can justify value-based pricing. They cover AI’s rapid acceleration, tool churn, and potential skill loss, alongside likely disruption to entry-level roles, and suggest human relationships will become more valuable in high-stakes B2B selling. John shares positioning lessons from customer interviews, a case study creating a sales/brand playbook used for onboarding, and examples of “marketing-adjacent” AI work that helps sales operations.00:00 Do Agencies Still Matter?01:18 What Clients Really Want02:29 Marketing Leadership Model04:57 Post Scope Era Pricing06:52 AI Velocity And Tool Overload09:00 Value Based Fees And Retainers12:09 Skill Loss And Disruption15:01 Meaning Work And Removing Toil17:51 Human Connection Comes Back22:18 Proof Points vs Positioning22:55 Cloud Consulting Case Study25:13 Tagline to Sales Playbook26:52 Using AI for Messaging28:25 Positioning Is for Buyers29:18 When Positioning Doesn’t Land30:49 Marketing Isn’t Just Opinion32:39 Revenue as the Validator33:39 AI Adjacent Opportunities36:58 Relationships in a Tech World39:12 Loyalty Means Real Dollars40:59 Lifetime Value Marketing ModelConnect with John Schultz: https://www.netstrategies.com/https://www.linkedin.com/in/johnschultznetstrategies/ Connect with Raul: • Work with Raul: https://dogoodwork.io/apply • Free Growth Resources: https://dogoodwork.io/free-growth-resources• Connect with Raul on LinkedIn (DMs open): https://www.linkedin.com/in/dogoodwork/
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