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In this episode, I’m joined by Jim Schleckser, founder and CEO of The CEO Project, to break down how CEOs identify and fix the real constraint in their business. We cover practical signals for finding the “kink in the hose,” including where inventory accumulates, cycle time slows, congestion builds, or customer complaints spike—and why top-performing CEOs consistently spend meaningful time at the constraint. Jim explains when the CEO becomes the bottleneck (as the constant decider or by staying stuck in a functional role) and shares his Five Hats framework: learner/analyst and player to find constraints, and architect, coach, and engineer to solve them through business design, talent, and systems. We also dig into why values and mission are part of the operating system, Jim’s grounded view of AI as mostly augmentation amid hype, and what business types may be more resilient long term.
01:25 Why Constraints Matter
03:27 Finding the Business Kink
04:51 When the CEO Is Bottleneck
07:27 Five Hats Framework
09:14 Design Talent Systems Fixes
12:27 Big Model Shifts and Pivots
13:24 Balancing CEO Hats Over Time
13:59 Client Story Clairvoyant Service
14:38 Firing Unprofitable Clients
15:39 Small Shifts That Matter
16:13 AI as Human Amplifier
17:06 Hype Cycles and ROI
18:39 Is AI Creating New Value
21:18 Professional Services Pricing Shock
22:29 Best Businesses in an AI Future
24:46 Constraints Versus Opportunities
25:19 CEO Surprises and AI Doomsday
Connect with Jim:
• IG: @the_ceoproject
• Twitter: @the_CEO_Project
• YouTube: https://www.youtube.com/@CEOProject
• LinkedIn: https://www.linkedin.com/in/jimschleckser/
• Links: Podcast: https://theceoproject.com/the-podcast/
• Website: https://theceoproject.com/ and https://jimschleckser.com/great-ceos-are-lazy/
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/
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I sat down with John Johnson, founding CEO of Patmos Hosting, to unpack how he bootstrapped a data center company with no outside capital after a big tech host threatened to cancel a client, leading him to pursue independence by “controlling the dirt.” We talk about his rule “he who pays, rules,” why he believes VC money erodes a founder’s mission, and how owning infrastructure and going upstream helps you control your destiny and protect your data. John also explores AI’s risks—counterfeit human personhood and reducing humans to artifacts—while arguing for a renaissance where authentic humanity becomes a premium. He shares how Patmos is redeveloping the old Kansas City Star printing press into a C-PACE financed, assessed clean-energy data center plus a downtown tech hub to create jobs and urban renewal. We also discuss his Albertus Magnus Institute and his North Star: human freedom.
03:25 Counterfeit Humanity & the Organic Human Market
08:07 AI and the Technocratic Paradigm
11:21 The Human Renaissance: Practical Counter-Revolution
14:08 Owning the Dirt: Freedom Through Education & Independence
14:20 John's Journey: From Ministry to Data Centers
22:55 Patmos: Free Speech Hosting & AI Infrastructure
27:23 Data Centers, Sustainability & The Kansas City Story
32:20 Owning Your Own Data & Patmos Phase Two
Connect with John:
• https://patmos.tech/
• https://magnusinstitute.org/
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/
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Saknas det avsnitt?
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In this podcast, I sat down with Ronan Leonard, founder of Intelligent Resourcing, to break down how he helps sales teams eliminate the 40% of their day spent manually researching companies and instead deliver real buying signals directly into the CRM so reps can take action. We talked about how fast AI is reshaping business models—Ronan compared it to waking up and finding the snow gone overnight—and why he refuses to build SaaS right now. He explained “dark data” hidden in sales call transcripts, how he enriches CRMs into “evergreen” systems, and how those insights feed content and GEO/answer optimization. We also covered tool-stack volatility, internal tooling vs productizing, structuring teams around learning speed, value-based pricing and price elasticity, and we had an honest disagreement on co-risking and revenue-share deals.
01:36 AI Overwhelm and Pace
03:19 Snowstorm Business Models
04:13 No SaaS Moat Strategy
05:09 Signals Into the CRM
06:45 Dark Data and Transcripts
08:55 Scaling Clients and LTV
15:49 Team Structure and Learning
19:41 Agents vs SOP Iteration
24:39 Standardize Custom Work
24:59 Value Based Pricing Framework
27:48 Cost Savings Case Study
30:16 Pricing as Perception
31:49 Why Upside Deals Fail
35:36 Confidence and Client Execution
36:34 Staying Ahead of AI Curve
39:37 Creativity and Feedback Loops
Connect with Ronan:
• https://www.linkedin.com/in/ronan-leonard/
https://intelligentresourcing.co/
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/
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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 Vow
01:42 AI Labs Enter Services
03:29 Your Offer Is Not The Moat
05:00 Seven Model Ingredients
06:47 How AI Changes Each Part
15:25 The Evolved Model Blueprint
25:26 Three Breakthrough Signals
29:49 Four Steps To Redesign
36:53 Closing Call To EvolveSubstack Version of this podcast:
https://dogoodwork.substack.com/p/how-ai-will-evolve-the-7-parts-of -
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/[email protected]://www.linkedin.com/in/jeffmeadeConnect with Raul:
• Work with Raul: https://dogoodwork.io
• Free Growth Resources: https://dogoodwork.io/resources
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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
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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
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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/
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What AI Native Consulting Actually Looks Like: The 4 Stages
00:00 Why AI Native Matters
02:26 Four Stage Roadmap
03:10 Stage One Enhancement
06:39 Stage Two Augmentation
14:15 Stage Three Parallel Ops
18:43 Agentic Workflow Examples
24:17 Stage Four Autonomy
33:10 Autonomy In Practice
37:36 Self Diagnostic Recap
41:52 Firm Of The FutureLink to the full Substack:
https://dogoodwork.substack.com/p/what-ai-native-consulting-actually -
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
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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 actor
00:00 The Market Votes With Its Dollars02:05 Every Digital Product Follows the Same Arc03:00 What a Form Factor Actually Is03:45 Form Factor One: Information Products and the Key Person Problem05:30 Form Factor Two: Software Requires a Team06:30 Form Factor Three: Actors08:45 Acting Is Not Producing10:15 From Four Hours to Fifteen Minutes13:30 When Client Agents Become Sales Mechanisms17:15 Skip the Course, Skip the Login, Go Straight to Value18:00 What Agencies Charge $5,000 a Month For21:00 What If Speed to Value Is the Variable?23:00 When You're Stuck in Delivery, You Stop Building24:30 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
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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.
Chapters
00:00 - 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 Execute
02:30 - 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 Creation
06:00 - 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% Intentional
09:30 - Your Offer Dictates Everything. Start There.
11:00 - What I Learned Spending Millions in Direct Response About Upsells
12:30 - Proactive Value: Anticipate Your Client's Next Problem Before They See It
13:00 - Be a Creator and Inventor. Tinker. Play. Build for Fun.
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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 Want
02:29 Marketing Leadership Model
04:57 Post Scope Era Pricing
06:52 AI Velocity And Tool Overload
09:00 Value Based Fees And Retainers
12:09 Skill Loss And Disruption
15:01 Meaning Work And Removing Toil
17:51 Human Connection Comes Back
22:18 Proof Points vs Positioning
22:55 Cloud Consulting Case Study
25:13 Tagline to Sales Playbook
26:52 Using AI for Messaging
28:25 Positioning Is for Buyers
29:18 When Positioning Doesn’t Land
30:49 Marketing Isn’t Just Opinion
32:39 Revenue as the Validator
33:39 AI Adjacent Opportunities
36:58 Relationships in a Tech World
39:12 Loyalty Means Real Dollars
40:59 Lifetime Value Marketing Model
Connect 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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In this podcast episode, JJ discusses ZeroEyes, an AI weapons-detection software-as-a-service created in response to the Parkland shooting to make existing security cameras proactive rather than reactive. The platform works with current IP cameras (720p minimum) to detect brandished firearms (not concealed weapons) and sends detections within seconds to the ZeroEyes Operation Center, where trained former law enforcement or military personnel verify threats to reduce false positives before calling 911 and the client. The conversation covers why human judgment is kept in the loop, how special-operations mission focus shapes company culture and go-to-market, and why competitors without an operations center struggle. Key adoption challenges include limited school budgets, distracting “shiny” analytics, reliance on bonds and grants, and efforts to lower costs via insurance partnerships and state blanket funding.
00:24 Origin Story Parkland
02:16 Making Cameras Proactive
03:50 Human in the Loop
08:27 Mission Driven Culture
12:12 Avoiding Shiny Analytics
14:39 Budget and Funding Hurdles
17:02 Partnerships and Insurance
20:28 Hesitation Costs Lives
22:18 Signals and Real Cases
Connect with JJ:
Website: https://www.jjparma.comZeroEyes: https://www.zeroeyes.comLinkedIn: JJ ParmaEmail: [email protected]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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In this episode, I interviewed Dirk Vander Noot, founder of Tell Tale Ops, who runs thousands of automations monthly and helps small businesses use AI and automation without losing the human touch. He discussed what you can build with AI versus what you should build, emphasizing focusing on tasks that drain time and energy but don’t gain value from a human doing them. Dirk explains how to identify value through customer and team feedback, and how involving teams in workflow redesign increases satisfaction, which can improve customer satisfaction. He distinguishes reliable step-by-step automations from AI agents better suited for research and creative, variable outputs but with higher risk. Drawing from hospitality, he argues people return for service and relationships, so even if AI can do something, it may not be best to. Dirk shares that the most exciting outcomes are clients growing revenue while working less and gaining more time with family.
00:41 Can Versus Should
01:51 Finding High Value Tasks
03:26 Measuring Value Signals
05:06 Team Purpose And CSAT
07:55 Humans And AI Roles
09:44 Slop And Output Pressure
14:27 Automation Versus Agents
18:13 Human Touch In Hospitality
20:29 Building Abundance And Wrap
Connect with Dirk:
LinkedIn: https://www.linkedin.com/in/dirk-vander-noot/
Website: telltalesops.com
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/
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Your Offer Is Your Positioning: Selling in the Post Scope Era
Resources:
Services Stack:
https://dogoodwork.substack.com/p/the-service-stack-what-remains-whenThe New Value Quadrant
https://dogoodwork.substack.com/p/the-new-value-quadrant-how-to-price00:00 Budgets Tighten Up
01:54 Entering Post Scope Era
03:51 Outcomes Over Deliverables
05:36 Scope Creep vs Partnership
06:41 Clients Buy Safety
09:33 Who Cares Positioning
11:17 Offers Communicate Value
15:46 De Risk The Journey
20:23 Underpricing Backfires
22:27 Return To Bespoke
24:06 Belief Is Differentiator -
The New Value Quadrant: How to Price Consulting & Agency Services in the Agentic Era
Read this on the newsletter:
https://dogoodwork.substack.com/p/the-new-value-quadrant-how-to-priceServices Stack
https://dogoodwork.substack.com/p/the-service-stack-what-remains-when00:00 AI Is Deflationary: The Pricing Squeeze Hits Agencies
00:20 The “AI Discount” Story & the AI Pricing Trap
01:38 Jevons Paradox: Cheaper Execution, Higher Demand
02:40 Stop Selling Hours—Sell Outcomes, Transformation & Belief
03:38 Why Legacy Pricing Breaks (Retainers, Hourly, Projects)
04:35 Introducing the New Value Quadrant (4 Pricing Models)
06:05 Quadrant 1 — The Margin Play: Keep Prices, Expand Profit
06:49 Net-New Value in Q1: Reinvest Time Savings, Don’t Cut Fees
10:39 Quadrant 2 — The Volume Play: Outcome/Consumption-Based Pricing
12:46 Designing Q2 for Long LTV: Caps, Tiers & Beating Churn
16:14 Quadrant 3 — The IP Play: Turn Your Methodology into Agentic Workflows
20:57 Quadrant 4 — Value Capture: Performance Deals with More Control
23:21 Retainer Floor + Performance Upside (Leading & Lagging Metrics)
24:03 Why Caps Build Trust (and Why Equity Splits Can Backfire)
25:32 The AI Adoption Gap: Your Window to Price Outcomes, Not Inputs
28:59 Who to Work With: The 3-Part Ideal Client “Trifecta”
30:07 Trifecta #1: Growing Market + Conviction (Sell Transformation, Not Services)
32:07 Trifecta #2: Target Tech-Laggard Industries to Avoid Commoditization
33:41 Trifecta #3: The Founder Must ‘Get It’ (No Convincing on Sales Calls)
36:07 The Craft Model: Small Elite Team + Agents to Deliver Net-New Value
39:39 Stop Discounting Because of AI: Choose Your Quadrant & Price the Output -
AI's Impact on Client Services: What You Need to Know
Read the newsletter:
https://open.substack.com/pub/dogoodwork/p/the-service-stack-what-remains-when00:00 Introduction: The AI Revolution in Client Services
00:33 Real-World Applications of AI
02:41 The Future of Client Services
04:50 Understanding the Services Stack
05:46 Layer 1: Execution
07:30 Layer 2: Template Strategy
09:19 Layer 3: Judgment-Driven Strategy
12:42 Layer 4: Transformation and Accountability
16:21 Layer 5: Belief
19:54 The Power of Belief in Client Relationships
21:35 The Future of the Agency Model
22:40 Introducing the Craft Model
23:35 AI's Role in the Craft Model
25:20 Adapting to the New Reality
28:59 Practical Steps for Transitioning
35:29 Final Thoughts and Call to Action -
In this episode, I sit down with Andy Leonard, host of the Fulfillment Project podcast to discuss the essence of true fulfillment. We delve into Andy's mission to inspire individuals to find purpose beyond material success by integrating faith, family, and meaningful work. Andy shares his insights on the importance of reflection, purposeful living, and combating the comfort-driven culture of modern society. Learn about his personal practices, such as daily reflections, planning, and injecting intentional discomfort to foster growth. Whether you're looking to realign your life's purpose or seeking practical advice on how to show up authentically in your personal and professional life, this conversation is packed with valuable nuggets. Join us as we explore the profound impact of contributing to something greater than oneself and the pursuit of a truly fulfilling life.
00:50 The Essence of Work and Fulfillment
01:40 Personal Reflections and Practices
03:37 The Importance of Intentionality
06:48 Fighting Comfort and Embracing Discomfort
15:18 Purpose-Driven Workplaces
16:10 Finding Purpose in Everyday Work
16:51 The Transformative Power of Education
19:13 Daily Reflections and Intentional Living
21:24 Facing Mortality and Finding Peace
23:27 The Concept of a Brave Death
Connect with Andy:
• https://substack.com/@fufillmentproject
Connect with Raul:
• Work with Raul: https://dogoodwork.io
• Free Growth Resources: https://dogoodwork.io/resources
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In this insightful episode, I chat with Diane Strand, founder of JDS Production and co-founder of the nonprofit JDS Creative Academy. Diane shares her journey from working in Hollywood on popular shows like 'Friends' to focusing on empowering mainstream, foster, at-risk youth, and special needs adults through the visual, performing, and digital arts. She discusses the significance of the arts in life and business, and how creativity can drive success, community building, and personal fulfillment. Learn about her mission to nurture creativity across the globe, her approach to education, and the inspirational projects she has lined up for 2026, including a humanitarian tour in Kenya. Connect with Diane to explore more about how the arts can impact life and business.
00:56 The Importance of Arts in Life and Business
03:41 Teaching and Learning Through Arts
05:44 Extracting and Nurturing Creativity
08:25 Personal Journey and Reflections
14:35 Building a Nonprofit and Giving Back
21:22 Future Plans and Vision
Connect with Diane:
• https://www.linkedin.com/in/dianestrand/
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/
- Visa fler
