Explorez tous les épisodes du podcast Good Enough Isn't
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Titre
Date
Durée
Episode 2 - Meet our CRO, Howard Diamond
29 Aug 2025
00:44:32
“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
If this was useful, follow the show so you don’t miss upcoming episodes, and share it with a colleague who’s navigating the same AI‑driven marketing landscape.
Episode 1 - ChatGPT-5 & Monetizing LLMs
21 Aug 2025
00:39:53
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.
From Janitor to CEO: Crafting Better Education at Scale
30 Oct 2025
01:13:05
From Janitor to CEO: Crafting Better Education at Scale
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.
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).
Higher Ed in the Age of AI: Rethinking Relevance & Results
18 Sep 2025
01:22:07
Higher Ed in the Age of AI: Rethinking Relevance & Results
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.
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.
Share this episode with someone wrestling with GenAI adoption.
Rate & review if it brings value, helps us reach more listeners!
Episode 3 - Founder & CEO of Forever Human AI, Tracey Cesen
04 Sep 2025
01:25:49
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