“Good enough isn’t.”
In this episode, host Myles Biggs and Patrick sit down with Level Agency’s newest executive, Chief Revenue Officer, Howard Diamond, to talk about growth, leadership, and why strategy (not hype) should lead your AI adoption.

Howard shares lessons from 16+ years helping build a high‑growth agency, the poker‑player mindset he brings to decision making, and how Level’s no‑markup, fully transparent approach to media sets clients up for epic wins. You’ll hear why Level doesn’t have “an AI strategy”, we have a strategy enabled by AI, and what that means for marketers who don’t want to hand their competitive edge to the ad platforms.

In this episode, you’ll learn:

• How to turn AI into an advantage through orchestration (not inventing LLMs)
• Why transparency in media buying beats short‑term “cheaper” models
• The culture behind “good enough isn’t” and aiming for epic wins
• A CRO’s real job: amplify innovation for new and existing clients
• “Briefs on steroids”: using AI to show up radically prepared for pitches
• Guardrails for growth: data, creativity, and your own optimization levers
• Sales philosophy: lead with curiosity, problem‑solve, and serve the truth
• Early‑career advice: patience over virality, own your learning, and ship work
• Leadership that scales: mentorship, feedback, and one conversation at a time

Guest

Howard Diamond — Chief Revenue Officer, Level Agency

Hosts

Myles Biggs with Patrick

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Episode 1 – ChatGPT-5 and Monetizing LLMs

AI is moving fast, and not always in the way we expect. In this episode of Good Enough Isn’t, host Patrick Patterson (CEO) and co-host Myles Biggs sit down with Howard Diamond (CRO) of Level Agency about the launch of ChatGPT-5 and what it means for both power users and everyday professionals.

They dig into:

• Why ChatGPT-5 underwhelmed some heavy users
• OpenAI's agent mode potential (and its limits)
• The rise of competitors like Gemini, Claude, and Grok
• How Grok is testing ads inside AI responses
• Perplexity’s $34.5B bid for Google Chrome
• Meta’s AI ad suite that can build campaigns automatically

The conversation also looks at the bigger picture, trust, privacy, creative disruption, and why old-school tactics like direct mail might resurface in an AI-driven world.

If you want a candid, no-ego look at where large language models are headed, and how they’ll reshape marketing and innovation, this episode delivers insights you can’t miss.

with Bill Nance (StrataTech Education Group)

Episode Summary

This week, Myles Biggs and Patrick Patterson sat down with Bill Nance, an education operator and change leader, now the CEO of StrataTech Education Group. Bill’s journey spans art & design, IT, operations, finance, and strategy, experiences he’s used to rebuild how schools work from the student's perspective.

Bill shares why great leaders do the hard work themselves until they understand it, make the call without perfect data, and protect the brand by owning demand rather than renting it. You’ll hear how he balances quarterly pressure with long-term purpose, why referrals outperform short-term volume, and how AI can widen opportunities, from adaptive learning to securing real funding for real students, without sacrificing human connection.

If you care about student experience, sustainable growth, or pragmatic AI in higher education, this one’s for you.

What You’ll Learn in This Episode

• Student-first operations: How structuring programs (pricing, devices, materials) levels the playing field and frees faculty to teach.
• Own the brand, don’t rent demand: Why overreliance on pay-per-lead hurts referrals, show rates, and long-term unit economics.
• Referrals as a north star: What Bill learned when cohorts sourced from aggregators didn’t refer, and how that changes the math.
• Leadership under uncertainty: Making 50/50 calls, communicating pivots, and earning trust by explaining the “why.”
• AI as a leveler (not a chatbot gimmick): Practical use cases that improve outcomes without degrading the front-door experience.
• Adaptive learning’s moment: Why true personalization at scale finally looks feasible with modern AI.
• Funding discovery at scale: Bill’s Monday-morning AI experiment to surface grants, workforce funds, and employer sponsorships for each student.
• Skilled trades at scale: Why the next five years demand high-ROI programs that meet community and employer needs.

Featured Guest

Bill Nance – CEO, StrataTech Education Group; former executive at Delta Career Education and Ancora; operator focused on student experience, brand ownership, and technology-enabled transformation.

Bill Nance on LinkedIn – https://www.linkedin.com/in/billnance/

Learn more

• StrataTech Education Group - https://stratatech.com/

Takeaways for Operators & Leaders

• Start with the student, design the service: Treat curriculum as the product and everything around it as the service layer, price, materials, devices, financing, so day one is equitable and predictable.
• Brand ownership compounds: Leads you generate yourself have higher intent, higher referral rates, and better downstream economics than rented demand.
• Measure what matters (referrals): Track referral % per source; if a channel suppresses referrals, its “cheap” volume is more expensive than it looks.
• AI ≠ call-deflection: Avoid front-door chatbot traps that erode trust. Prioritize AI that adds value (adaptive learning, call summaries with human QA, funding discovery).

Connect With the Show

• Level Agency – https://www.level.agency/
• Patrick Patterson – https://www.linkedin.com/in/pattersonwork/
• Myles Biggs – https://www.linkedin.com/in/mylesjb

How to Support the Show

• Subscribe so you never miss an episode.
• Rate & review if it brought you value,

with Dr. Michael Hageloh & Dr. Bruce Fraser (Indian River State College)

Episode Summary

This week, Myles Biggs and Patrick Patterson sit down with two innovators who are shaping the future of higher education: Dr. Michael Hageloh and Dr. Bruce Fraser of Indian River State College in Florida.

Together, they discuss how AI is disrupting higher ed, not as a technology problem, but as a change management challenge. From Steve Jobs’ lessons at Apple to democratizing knowledge in the classroom, Michael and Bruce share their experiences leading transformation at scale.

They make the case that students are customers first, that knowledge is no longer scarce, and that AI, used wisely, can help colleges unlock creativity, adaptability, and epic wins for the next generation of learners.

If you care about innovation, the future of education, or how to lead through massive change, this conversation is packed with insights.

What You’ll Learn in This Episode

• How Apple’s product philosophy shaped Michael’s approach to education leadership
• Why “customers don’t know what they want” still applies to students in 2025
• The death of the click economy and what it means for marketers & schools
• How IRSC is using AI to move students from curiosity → enrollment → success
• The role of fidelity (taste, judgment, human refinement) in an AI-driven world
• Why higher education must shift from “knowledge scarcity” to AI-abundant, collaborative learning
• Predictions for the future: apprenticeships, stackable credentials, and billion-dollar one-person companies

Featured Guests

Dr. Michael Hageloh – VP of Marketing at Indian River State College, former Apple executive, author, and change leader.

Dr. Bruce Fraser – Faculty leader at IRSC with a background in psychology, epistemology, and AI research, specializing in organizational change and faculty development.

Learn more:

• Indian River State College - https://www.irsc.edu/
  
  
• IRSC AI Thought Leadership Article: The Death of the Click Economy - https://medium.com/@michaelhageloh/the-death-of-the-click-economy-how-ai-is-altering-human-agency-and-commerce-533e9ac6aeb4

Takeaways for Operators & Leaders

• AI adoption is a change management problem, not a tech problem. Leaders need to prepare their organizations for cultural and structural adaptation, not just tool rollouts.
• Democratization changes the business model. Just as iTunes democratized music, generative AI democratizes knowledge; leaders must rethink what unique value their institutions or companies add.
• Customers (and students) don’t always know what they want. Leaders must guide people through a journey, painting the vision before delivering the product.
• Entry-level work is evolving. Education and employers must fill the gap with apprenticeships and practical, AI-augmented learning to prepare talent for higher-value roles faster.

Connect With the Show

• Level Agency - https://www.level.agency/
• Patrick Patterson’s LinkedIn - https://www.linkedin.com/in/pattersonwork/
• Myles Biggs’ LinkedIn - https://www.linkedin.com/in/mylesjbiggs/

How to Support the Show

• Subscribe so you never miss an episode.
• Share this episode with someone wrestling with GenAI adoption.
• Rate & review if it brings value, helps us reach more listeners!

A wide-ranging, human-first conversation about scaling AI responsibly. Tracey traces her path from nursing to programming to CEO, explains why “good enough isn’t,” and lays out a practical playbook: pick the right problem, bring people along, then layer AI on strong workflows and platforms to unlock real innovation—not just busywork.

Our Guest

Tracey Cesen — Founder & CEO, Forever Human AI. Former President/CEO in professional services; earlier roles across healthcare, finance, and ed-tech. Advocate for human-centered tech, product thinking, and pragmatic change management.

What we cover

• Origin story: from nursing labs to coding and product leadership
• “Good Enough Isn’t” as a leadership lens (and why a little healthy pushback makes teams better)
• Human-first tech: what AI should automate, and what must stay human
• Platforms > one-off pilots: how workflow/data foundations enable GenAI value
• Why 95% of pilots stall (and how to be in the 5% that ship and stick)
• The “AI as a utility” model (quality–speed–cost) & what that means for builders and buyers
• Marketing implications: YouTube’s rising importance, AI disclosure, and audience trust
• Tracey’s “why”: help people be more than they think they can be, and make new mistakes

Resources & Links Mentioned

Connect with Tracey

• Tracey Cesen’s LinkedIn (DM her here):  https://www.linkedin.com/in/traceymzimmerman/

Platforms & Tools

• ServiceNow – Now Assist (Generative AI on Now Platform): https://www.servicenow.com/now-platform.html
• xAI — Grok (Elon Musk’s AI model):  https://x.ai/grok
• Google “Doppl” (body-double virtual try-on experiments): https://labs.google/doppl
• 95% of GenAI Pilots fail article: https://mlq.ai/media/quarterly_decks/v0.1_State_of_AI_in_Business_2025_Report.pdf
• Impaxs - https://impaxs.com 
  • Email: asheridan@impaxs.com

Hosts

• Level Agency - https://www.level.agency/
• Patrick Patterson’s LinkedIn - https://www.linkedin.com/in/pattersonwork/
• Myles Biggs’ LinkedIn - https://www.linkedin.com/in/mylesjbiggs/

Takeaways for Operators & Leaders

• Start with the right problem. Strong pilots solve meaningful problems, not just novel ones.
• People > tools. Adoption comes through excitement, not enforcement.
• Focus on platforms. Platforms like ServiceNow unify workflows and data, making GenAI possible.
• Think like a utility. Models are like electricity: optimize across quality, speed, and cost.
• Avoid vanity pilots. Ship useful tools, iterate quickly, and make new mistakes to learn and improve.

How to Support the Show

• Subscribe so you never miss an episode.
• Share this episode with someone wrestling with GenAI adoption.
• Rate & review if it brings value, helps us reach more listeners!