Do Good Work

Raul Hernandez Ochoa
  • 5.0 (42)
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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

  1. 15 MAY

    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 work 00:00 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 Evolve Substack Version of this podcast: https://dogoodwork.substack.com/p/how-ai-will-evolve-the-7-parts-of

    37 min

  2. 14 MAY

    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 Now 03:38 Mandatory Student Ventures 04:35 MVPs And First Sales 06:52 AI Tools Problem First 10:31 From Scarcity To Confidence 13:06 Safe Space To Fail 15:18 Open Sourcing The Model 17:29 Where To Learn More Connect with Jeffrey:  https://paulquinn.edu/entrepreneurshipjeff-meade.comjmeade@pqc.eduhttps://www.linkedin.com/in/jeffmeade Connect with Raul:  • Work with Raul: https://dogoodwork.io  • Free Growth Resources: https://dogoodwork.io/resources

    20 min

  3. 12 MAY

    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 Engines 05:10 Leadership And Culture Values 07:34 Why LLMs Aren't Intelligent 08:54 Turing Test And Training Limits 12:42 Language Detached From Reality 14:48 Personhood Rights And Ethics 19:01 Anthropomorphism Risks 19:34 Human Ownership Mindset 20:25 Outsourcing Your Thinking 22:24 IP Training Fears 24:34 Responsibility Still Human 28:41 Leading In AGI Hype 29:38 Grounding In Real Life Connect 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

    35 min

  4. 7 MAY

    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 Is 02:45 Issue Processing Secret Sauce 04:46 When AI Hit the Groups 06:43 Why Some CEOs Lag on AI 08:44 Use Cases vs Business Model Shifts 09:45 AI Readiness and Industry Friction 11:20 Leading Change and Finding Use Cases 13:25 Prompts Training and Psychological Safety 15:01 AI Champion and Process Mapping 16:04 Why People Quit 16:32 Build AI Champions 17:58 Pick Use Cases Fast 18:33 Measuring AI Impact 20:00 Beyond Time Savings 21:02 Culture and Safety 23:48 Compliance and Knowledge 24:32 Jobs and Business Models 27:38 Adoption Takes Time Connect with Jim:  • https://jimristuccia.com/ Connect with Raul:  • Work with Raul: https://dogoodwork.io • Free Growth Resources: https://dogoodwork.io/resources

    33 min

  5. 4 MAY

    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 Agents 04:44 Aquinas Chat Origins 10:28 Beyond Efficiency 20:49 Net New Value 24:28 Create Net New Value 25:02 Decouple Labor From Value 27:58 Outcome Value Shift 30:26 Future Digital Assets 34:35 Three AI Futures 37:58 IP And Distribution 40:56 Local Hardware Shift 42:42 Client AI Disclosure Connect 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/

    49 min

  6. 1 MAY

    What AI Native Consulting Actually Looks Like: The 4 Stages

    What AI Native Consulting Actually Looks Like: The 4 Stages 00:00 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 Future Link to the full Substack: https://dogoodwork.substack.com/p/what-ai-native-consulting-actually

    44 min

  7. 28 ABR

    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 Pivoted 03:36 Alignment and Identity 06:39 Walking Polarity Pair 09:02 Problem vs Polarity 11:05 Mapping and Warning Signs 14:04 Tech and Dynamic Balance 17:46 Working Through Tension 22:39 Dialogue and Resistance Connect with Dr Tracy Christopherson and Michelle Troseth.:  • www.polarityintelligence.com  www.missinglogic.com https://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

    29 min

  8. 18 MAR

    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 actorCHAPTERS 00:00 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 Actor Website: https://dogoodwork.ioNewsletter: https://dogoodwork.substack.comhttps://dogoodwork.substack.com/p/how-ai-is-creating-the-3rd-form-factor

    26 min
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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

Información

  • Creador
    Raul Hernandez Ochoa
  • Años de actividad
    2019 - 2026
  • Episodios
    328
  • Clasificación
    Apto
  • Copyright
    © Attribution-NonCommercial-NoDerivatives 4.0 International
  • Mostrar sitio web
    Do Good Work