Brand of Brothers

Brand of Brothers
  • 5.0 (7)
  • Design
  • Updated Bimonthly

A podcast about the world of branding. From tone to typography, we explore how logos happen, what makes advertising successful, and why this all matters.

  1. Sep 23

    Digital Products as Marketing Tools

    Welcome to another episode of Brand of Brothers with Doug Berger and Johnny Diggz. This time, we’re talking about digital products and how businesses can use them as something much bigger than another website, app or marketing channel. From branded communities and customer portals to commerce platforms, workflow tools and niche social networks, digital products can create entirely new ways for people to experience a brand. Doug and Johnny break down what makes a digital product different from a traditional website, why REMIXED often calls them digital hubs, and how they can turn a one-way customer journey into an experience people actually have a reason to return to. 🔥 In this episode: What we mean when we talk about a “digital product”The difference between a website, native app and web appWhy digital hubs can become an extension of the brand itselfUsing digital products to build niche communitiesCreating value without necessarily charging usersWhy a purpose-built community doesn’t need a social media algorithmCombining community, content, commerce and utility in one experienceUsing APIs to connect outside platforms behind a branded interfaceThe advantages of controlling the experience instead of relying entirely on third-party softwareTurning a traditional marketing funnel into an ongoing cycleUsing digital products for customers, prospects, partners and internal teamsHow automation can eliminate bottlenecks in discovery, proposals, contracts, invoicing and onboardingWhy the right digital product starts with business goals instead of featuresWhen investing in a custom platform makes sense and when it probably doesn’t💡 Whether you’re trying to build a stronger community, improve the customer experience, streamline the way your business operates or give your audience something genuinely useful, a digital product can create an entirely new touchpoint between people and your brand. And unlike another piece of marketing designed primarily to capture someone’s attention, the right digital product can give them a reason to keep coming back. 🎧 Listen now to learn how to: Think beyond the traditional websiteIdentify opportunities for a branded digital experienceTurn disconnected tools and processes into a more cohesive platformCreate more value for customers, partners and communitiesUse technology to strengthen the brand experience instead of simply adding more technologyPresented by REMIXED, the full-service branding agency. 🎶 Music by PRO. 📍 Find us at BrandShowLive.com 📱 Follow us: @BrandShowLive on all socials 👍 Like, share and subscribe for more conversations about branding, marketing, technology and the increasingly strange ways they all come together.

  2. Aug 12

    AI Ethics: Data Usage & Privacy

    Welcome back to Brand of Brothers with Doug Berger and Johnny Diggz, where branding, marketing, business, creativity, and emerging technology get unpacked with clarity, humor, and zero fluff. In this episode, we continue our conversation about the Higgins-Berger Scale of Generative AI Ethics, focusing on data usage and privacy: where AI training data comes from, what happens to uploaded work, and how businesses can use AI without exposing confidential information or violating creators’ rights. Before an AI system can generate a word, image, song, video, design, or idea, it has to learn from data. That raises a foundational question: When creators share their work online, are they only giving people permission to see it, or are they also giving AI companies permission to train on it?  In this episode: • What “data usage and privacy” means within the Higgins-Berger Scale • The difference between owning your work and licensing a platform to use it • Why public availability is not necessarily informed consent for AI training • How social media terms may give platforms broad rights to process uploaded content • Why copyright, licensing, privacy, consent, and provenance overlap without meaning the same thing • The ethical difference between licensed, compensated, openly licensed, public-domain, and nonconsensually collected material • Why Adobe Firefly may score more favorably because of its licensed and public-domain training approach • Why responsibly sourced training data does not eliminate every risk in the generated result • How AI can still produce celebrity likenesses, recognizable trademarks, protected designs, or patented visual effects • The cake analogy for understanding hosted AI, locally operated models, and models built from known data • Why hosted systems resemble eating restaurant cake without knowing every ingredient • How running a downloaded model locally can improve privacy without resolving uncertainty about its training data • Why building from documented, properly licensed data offers greater provenance and control • Why privacy is about understanding and controlling how information will be used, not simply keeping it secret • The risks of uploading client strategy, brand launches, internal evaluations, goals, or competitive information • Why commercial AI privacy promises still require governance, judgment, and accountability • How third-party photography, fonts, illustrations, templates, and other licensed assets complicate private AI training • How the 80/20 principle applies to AI-assisted creative workflows • Why the final 20% still requires human judgment, taste, expertise, correction, and craft • Why AI is often more defensible for ideation, analysis, and internal processes than as the final creative source • The difference between asking “Can we legally do this?” and “Should we ethically do this?” • Why the HBS is a scale for navigating gray areas, not a simple ethical-or-unethical verdict • Whether requiring creators to opt in to AI training would protect rights or restrict innovation • A preview of the next HBS conversation about displacement impact and human labor Whether you are an agency owner, creative director, designer, writer, musician, content creator, entrepreneur, CMO, technology leader, or business owner exploring generative AI, this episode offers a practical way to evaluate training data, privacy, consent, provenance, intellectual property, and professional responsibility. Listen now to learn how to: • Evaluate data usage and privacy in an AI-assisted workflow • Separate public access from meaningful consent • Distinguish local processing from ethical training-data provenance • Identify confidential information that should not be casually uploaded to an AI platform • Decide when AI should remain assistive rather than become the final creative source Explore the Higgins-Berger Scale: • Interactive HBS Utility: https://r3mx.com/hbs-interactive-utility/ • Full Higgins-Berger Scale Article: https://r3mx.com/the-higgins-berger-scale/ Ethically Sourced and Rights-Respecting AI Resources: • Fairly Trained Certified Models: https://www.fairlytrained.org/certified-models • KL3M, the first Fairly Trained-certified LLM: https://273ventures.com/kl3m-is-first-fairly-trained-llm/ • Common Pile and Comma Models: https://huggingface.co/common-pile • Adobe Firefly’s Training Approach: https://www.adobe.com/ai/overview/firefly/gen-ai-approach.html Presented by REMIXED, the full-service branding agency helping companies craft, launch, and grow powerful brands.  Music by PRO  Visit us at BrandShowLive.com  Follow along at @BrandShowLive on all socials  Like, subscribe, and share to support the show and keep the conversations going

  3. Jul 9

    AI Ethics: Potential for Harm

    Welcome back to Brand of Brothers with Doug Berger and Johnny Diggz, where branding, marketing, business, creativity, and emerging technology get unpacked with clarity, humor, and zero fluff. In this episode, we continue our conversation about the Higgins-Berger Scale of Generative AI Ethics, focusing specifically on the potential for harm when using generative AI in creative, business, marketing, and communication workflows. As generative AI becomes more common in design, writing, video, audio, advertising, social media, and business content creation, one question becomes increasingly important: Can AI work exactly as designed and still cause harm? 🔥 In this episode: • What “potential for harm” means within the Higgins-Berger Scale of Generative AI Ethics • Why ethical AI use has to be evaluated by use case, not just by tool • How potential harm connects to transparency, intent, displacement, privacy, and data usage • Why the HBS framework treats AI ethics as interconnected rather than isolated categories • The difference between low-risk, moderate-risk, and high-risk generative AI use • Why AI-generated flyers for small businesses, restaurants, musicians, and events may carry minimal real-world harm • How reputational risk still matters, even when the practical risk is low • Why microbusinesses and independent creators often use AI because hiring a designer is not financially or logistically realistic • How AI can create opportunities for people who were never going to hire a creative professional in the first place • Why social media graphics, event announcements, and basic promotional assets may be ethically different from client-facing brand systems • The environmental impact conversation around AI, data centers, utilities, water usage, and power consumption • Why environmental concerns are real, but not the core focus of the HBS framework for creative ethics • How deepfakes, synthetic voices, celebrity likenesses, and political impersonation create a much higher potential for harm • Why misinformation is one of the most serious risks in generative AI • The danger of AI-generated legal, medical, instructional, technical, or professional advice without human review • Why human guardrails matter when AI is producing content that could affect health, safety, law, finance, or public trust • How AI-generated articles, blogs, scripts, manuals, and how-to videos can move from helpful to harmful depending on topic and oversight • Why meaningful human involvement is essential when AI is used in professional creative workflows • How agencies can use AI to assist with creative briefs, ideation, and internal processes without handing raw AI output directly to clients • Why generative AI is often useful for the first 80% of a task, but the final 20% still requires human judgment, taste, expertise, and craft • Why good designers, writers, and strategists can usually get better results from AI than people without creative or subject-matter expertise • How AI changes the conversation around authorship, ownership, copyright, trademarks, and intellectual property • Why purely AI-generated work may create problems when clients need ownable or protectable creative assets • How lawsuits involving publishers, photographers, musicians, artists, record companies, and AI platforms could shape future business risk • Why using AI for ideation is different from using AI as the final creative source • How intellectual property uncertainty can create long-term liability for agencies, companies, and clients • Why small-scale AI use by microbusinesses may carry less legal or practical downside than corporate or agency use • How potential harm becomes a bridge into the next major HBS topic: data usage and privacy 💡 Whether you are a marketing agency owner, creative director, designer, musician, content creator, entrepreneur, CMO, small business owner, or business leader trying to understand responsible AI adoption, this episode offers a practical conversation about how to evaluate the risks of generative AI before using it in real-world creative work. 🎧 Listen now to learn how to: • Evaluate the potential harm of AI-assisted creative work • Understand the “potential for harm” category inside the Higgins-Berger Scale • Separate low-risk AI use from high-risk AI use • Think more clearly about AI-generated flyers, blogs, social posts, scripts, manuals, and videos • Identify when AI content needs human review, fact-checking, or professional oversight • Understand why medical, legal, political, technical, and instructional AI content carries greater risk • Recognize the ethical difference between AI as a tool and AI as a source • Reduce reputational, legal, creative, and business risk when using generative AI • Protect client trust while still taking advantage of AI-powered creative workflows • Think more critically about deepfakes, misinformation, copyright, authorship, and creative ownership 🧠 Explore the Higgins-Berger Scale: • Interactive HBS Utility: https://r3mx.com/hbs-interactive-utility/ • Full Higgins-Berger Scale Article: https://r3mx.com/the-higgins-berger-scale/ Presented by Remixed, the full service branding agency helping companies craft, launch, and grow powerful brands. 🎶 Music by PRO 📍 Visit us at BrandShowLive.com 📱 Follow along at @BrandShowLive on all socials 👍 Like, subscribe, and share to support the show and keep the conversations going

  4. Jun 2

    AI Ethics: Transparency

    Welcome back to Brand of Brothers with Doug Berger and Johnny Diggz, where branding, marketing, business, creativity, and emerging technology get unpacked with clarity, humor, and zero fluff. In this episode, we continue our conversation about the Higgins-Berger Scale of Generative AI Ethics (HBS), focusing specifically on transparency, disclosure, and the ethical responsibilities that come with using generative AI in creative workflows. As AI tools become more deeply embedded in marketing, content creation, design, video, audio production, and business communication, one question keeps becoming more important: When should businesses disclose that AI was used? 🔥 In this episode: • What transparency means within the Higgins-Berger Scale of Generative AI Ethics • Why disclosure is not always simple, obvious, or binary • The difference between radical disclosure, partial disclosure, unclear disclosure, and intentional obfuscation • Why the HBS scoring system treats transparency as a spectrum • How businesses can evaluate the ethical cleanliness of AI-assisted workflows • Why trust, perception, and authenticity matter when AI is part of the creative process • Legal and ethical disclosure concerns emerging in the EU, California, and beyond • How platforms like Meta are beginning to detect and label AI-generated content • Why metadata and embedded AI signals may shape the future of disclosure • The difference between using AI as a tool and using AI as an original content source • How AI-generated blogs, summaries, transcripts, audio cleanup, and image edits should be evaluated • Why undisclosed AI use can create risk for managers, agencies, clients, and collaborators • Deepfakes, synthetic influencers, voice cloning, and digital impersonation • Why AI-generated likenesses can mislead audiences even when the message itself has not changed • How undisclosed AI use in music, demos, and sync licensing can create cascading business consequences • Why human involvement, chain of custody, and creative authorship are becoming more important • How copyright questions change when content is purely AI-generated versus human-directed • Why AI tools like transcription, spell check, Studio Sound, Firefly, and generative fill sit in different ethical categories • How agencies can disclose AI use without turning every project into a warning label • Why transparency is ultimately about creating trust signals with clients, customers, and audiences 💡 Whether you are a marketing agency owner, creative director, designer, musician, content creator, entrepreneur, CMO, or business leader trying to understand responsible AI adoption, this episode offers a practical conversation about how transparency works in real-world AI-assisted creative production. 🎧 Listen now to learn how to: • Evaluate when AI usage should be disclosed • Understand the transparency category inside the Higgins-Berger Scale • Identify the difference between ethical AI assistance and misleading AI use • Communicate clearly with clients and audiences about generative AI • Reduce business risk when using AI in marketing, branding, music, video, audio, and content workflows • Build trust while still taking advantage of AI-powered creative tools • Think more clearly about deepfakes, disclosure, synthetic media, and authorship • Use AI as a tool without sacrificing integrity, originality, or accountability 🧠 Explore the Higgins-Berger Scale: • Interactive HBS Utility: https://r3mx.com/hbs-interactive-utility/ • Full Higgins-Berger Scale Article: https://r3mx.com/the-higgins-berger-scale/ Presented by Remixed, the full service branding agency helping companies craft, launch, and grow powerful brands. 🎶 Music by PRO 📍 Visit us at BrandShowLive.com 📱 Follow along at @BrandShowLive on all socials 👍 Like, subscribe, and share to support the show and keep the conversations going

  5. May 7

    Introducing HBS: The Higgins-Berger Scale of Generative AI Ethics

    Welcome back to Brand of Brothers with Doug Berger and Johnny Diggz, where branding, marketing, business, creativity, and emerging technology get unpacked with clarity, humor, and zero fluff. In this episode, we introduce the Higgins-Berger Scale of Generative AI Ethics (HBS), a practical framework designed to help agencies, marketers, creatives, business owners, and decision makers evaluate the ethical use of generative AI in real-world creative workflows. As AI tools like ChatGPT, Midjourney, Sora, Adobe Firefly, Suno, Gemini, and other generative AI platforms continue reshaping the creative industry, businesses are struggling to answer one important question: Just because AI can do something, does that mean it should? 🔥 In this episode:  • What the Higgins-Berger Scale (HBS) is and why it was created  • The five core categories used to evaluate ethical AI usage  • Why AI ethics should be measured on a spectrum instead of treated as binary  • The difference between ethical AI use and unethical AI exploitation  • Data sourcing, privacy concerns, and training model transparency  • Human displacement vs. human augmentation in AI-assisted workflows  • Why intent matters when evaluating generative AI content  • AI disclosure, transparency, and client communication  • The growing problem of AI-generated “slop” content  • Deepfakes, misinformation, synthetic influencers, and digital impersonation  • Ethical concerns surrounding image generation, voice cloning, and AI video  • How AI-generated content can dilute trust and authenticity online  • The role of prompt engineering versus true creative direction  • Why copyright, licensing, and ownership remain unresolved challenges  • The evolving role of designers, musicians, marketers, and creative professionals  • Why ethical frameworks matter even when bad actors ignore them  • How modifiers inside the HBS scoring system work  • The difference between malicious AI use and imperfect AI use  • Why the future of AI ethics requires ongoing evolution and public feedback 💡 Whether you are a marketing agency owner, graphic designer, content creator, entrepreneur, creative director, CMO, or simply trying to understand responsible AI adoption, this episode provides a practical framework for evaluating AI ethics in business, branding, marketing, and creative work. 🎧 Listen now to learn how to:  • Evaluate generative AI tools beyond hype and marketing claims  • Use AI responsibly in branding, marketing, and creative production  • Identify ethical risks in AI-generated content and automation  • Balance efficiency with originality, transparency, and creative integrity  • Build AI-assisted workflows without sacrificing human creativity  • Better understand the future of ethical AI in creative industries 🧠 Explore the Higgins-Berger Scale:  • Interactive HBS Utility: https://r3mx.com/hbs-interactive-utility/ • Full Higgins-Berger Scale Article: https://r3mx.com/the-higgins-berger-scale/ Presented by Remixed, the full service branding agency helping companies craft, launch, and grow powerful brands. 🎶 Music by PRO  📍 Visit us at BrandShowLive.com  📱 Follow along at @BrandShowLive on all socials  👍 Like, subscribe, and share to support the show and keep the conversations going

  6. Apr 15

    Ethics of Generative AI

    Welcome back to Brand of Brothers with Doug Berger and Johnny Diggz, where branding, marketing, and business get untangled with clarity, humor, and zero fluff. In this episode, we dive into a topic that is rapidly reshaping creative work and raising big questions along the way: the ethics of generative AI. 🔥 In this episode:  • The real origin of Doug’s hesitation with AI and the internal conflict many agency owners are facing  • Why generative AI should be treated as a tool, not a replacement for creative thinking  • The difference between what is legal and what is actually ethical in creative work  • Where AI belongs in the creative process and why that line is not always clear  • The role of training data and why its source matters more than most people think  • How tools like Adobe Firefly attempt to address ethical concerns around content sourcing  • Whether using AI requires disclosure to clients and how that compares to other creative tools  • The evolving nature of copyright, licensing, and ownership in an AI-driven world  • Historical parallels from digital art, photography, and sampling in music  • Why every major creative shift has faced the same skepticism and resistance  • The difference between craft and concept and why both still matter  • The risk of de-skilling and what happens to designers in an AI-assisted future  • Prompt engineering versus true creative direction and where AI still falls short  • The gap between morality and ethics and why that distinction matters  • How bad actors will always exist and why ethical frameworks are for those who care  • The introduction of their evolving AI ethics scoring system and how it works  • Why ethics is not binary and must be evaluated on a spectrum  • The five key factors used to evaluate ethical AI usage  • Why this framework is designed to evolve as the technology changes 💡 Whether you are a business owner wondering if AI is “safe” to use, a creative professional trying to define your role in an AI world, or simply curious about the future of originality, this episode brings clarity to a conversation that is often oversimplified. You will walk away with a more grounded way to think about AI, not as a threat or a shortcut, but as a responsibility. 🎧 Listen now to learn how to:  • Evaluate AI tools beyond hype and legal checkboxes  • Think critically about ethical usage in your own business or workflow  • Balance efficiency with originality and creative integrity  • Understand where AI enhances creativity and where it falls short  • Apply a practical framework to real world AI decisions Presented by Remixed, the full service branding agency helping companies craft, launch, and grow powerful brands. 🎶 Music by PRO  📍 Visit us at BrandShowLive.com  📱 Follow along at @BrandShowLive on all socials  👍 Like, subscribe, and share to support the show and keep the conversations going

  7. Feb 11

    What is Advertising?

    Welcome back to Brand of Brothers with Doug Berger and Johnny Diggz, where branding, marketing, and business get untangled with clarity, humor, and zero fluff. In this episode, we tackle another commonly misunderstood topic: what advertising actually is, and how it fits into branding and marketing without being confused for either. 🔥 In this episode:  • The clear hierarchy of branding, marketing, and advertising and why mixing them up causes bad decisions  • Why branding sets meaning, marketing creates connection, and advertising buys attention  • Advertising as a tactic, not a strategy, and why it only works when the foundation is solid  • The megaphone metaphor and what advertising really amplifies  • Whether businesses can survive without advertising and when word of mouth actually works  • PPC explained in plain language and why it is often the best starting point  • Awareness campaigns versus conversion campaigns and how to choose the right one  • How Google Ads can help or hurt depending on how you use data  • Why audience location matters more than trendy ad channels  • What OTT advertising is and how it compares to traditional broadcast ads  • ROAS explained and why short term thinking breaks ad performance  • Why cutting marketing spend is usually the first and biggest mistake during downturns  • How stopping advertising slows your funnel long after the ads stop  • AI driven advertising, what is overrated, what feels inauthentic, and why audiences can tell  • Underrated tactics like retargeting and why “annoying” ads often work  • A minimum viable advertising strategy for small and midsize businesses  • Where podcasts and content marketing fit and why they are not conversion tools 💡 Whether you are a small business owner feeling pressure to “run ads,” a marketer trying to justify spend, or a founder navigating budget cuts, this episode brings advertising back to reality. You will learn how to think about ads as part of a system, not a silver bullet, and why attention without strategy is just noise. 🎧 Listen now to learn how to:  • Decide when advertising makes sense and when it does not  • Choose channels based on audience behavior instead of hype  • Measure ad performance without panicking over short term results  • Avoid common traps that waste ad budgets  • Build advertising that supports long term growth instead of quick hits Presented by Remixed, the full service branding agency helping companies craft, launch, and grow powerful brands. 🎶 Music by PRO  📍 Visit us at BrandShowLive.com  📱 Follow along at @BrandShowLive on all socials  👍 Like, subscribe, and share to support the show and keep the conversations going

  8. Jan 7

    What is Marketing?

    Welcome back to Brand of Brothers with Doug Berger and Johnny Diggz, where branding, marketing, and business collide with a little bit of fun and a lot of truth. In this episode, we go all the way back to basics with one deceptively simple question: what is marketing. Spoiler alert, it is not just posting on social media and it is not the same thing as sales. 🔥 In this episode:  • A clean definition of marketing as the line between your product and your customer  • How marketing and sales work together, and where the handoff happens  • The lemonade stand example that explains marketing, branding, and conversion in plain English  • Why visibility, signage, and presentation matter before anyone ever buys  • How pricing shapes expectations and becomes part of the value proposition  • Needs versus wants, and how that changes the way you position your offer  • Why trying to market to everybody is a great way to waste money  • The fishing net analogy for targeting, and why narrower audiences require a finer mesh  • How targeting applies to ads, streaming, and even direct mail  • What trust indicators are, and why reviews and longevity influence buying decisions  • Why authenticity is making a comeback and why people can sense fake content fast  • How storytelling builds connection, even as tools and platforms change  • The best no budget move for small businesses: spend time, not money, and network locally  • What social media is actually best for in marketing, and why it is often more trust than sales  • Rapid fire takes on iconic campaigns, tired buzzwords, and the only podcast you “should” be listening to 💡 Whether you are running a micro business, scaling a service company, or trying to make your marketing make sense again, this episode brings marketing back to reality. You will walk away with a practical way to think about marketing as connection and clarity, not noise, and a reminder that the fundamentals still matter, even when the tools keep changing. 🎧 Listen now to learn how to:  • Separate marketing from sales so you can build a strategy that actually converts  • Tighten your targeting so your budget stops leaking  • Use price, presentation, and trust to shape perception and drive action  • Build authentic messaging that feels human and not manufactured  • Choose the right role for social media in your business instead of chasing vanity metrics Presented by Remixed, the full service branding agency helping companies craft, launch, and grow powerful brands. 🎶 Music by PRO  📍 Visit us at BrandShowLive.com  📱 Follow along at @BrandShowLive on all socials  👍 Like, subscribe, and share to support the show and keep the conversations going

See All (26)

Ratings & Reviews

5
out of 5
7 Ratings

About

A podcast about the world of branding. From tone to typography, we explore how logos happen, what makes advertising successful, and why this all matters.

Information

  • Creator
    Brand of Brothers
  • Years Active
    2020 - 2026
  • Episodes
    26
  • Rating
    Explicit
  • Copyright
    © 2026 Brand of Brothers
  • Show Website
    Brand of Brothers