Burn The Map: Build the Bot, Break the Bot, and Fix the System w/ Bradford Carlton

Burn The Map: Build the Bot, Break the Bot, and Fix the System w/ Bradford Carlton

In This Episode: We talk to Bradford Carlton about what happens when a former attorney gets obsessed with automation, agentic systems, and the uncomfortable truth that most businesses have no idea how their own work actually gets done. Bradford walks through his shift from running a law firm to building AI-powered workflows, dashboards, bug-reporting bots, homeschool tools, and what's basically a personal operating system for his life. This conversation gets into the difference between AI that looks impressive and AI that actually works. Bradford is blunt about the part most people skip: the real value isn't in generating code or spinning up 600 workflows—it's in the debugging, the testing, the logic, and the discipline to break work down into tasks a machine can actually execute. If you're trying to use AI inside a business without drowning in hype, this one's for you. What We Cover: * How Bradford went from lawyer to business consultant to full-blown AI systems builder. * Why most automation projects fail before they start—because people can't explain their own processes. * The gap between flashy demos and workflows that survive contact with reality. * How Bradford uses tools like N8N, Claude Code, and Gemini to build systems for business, family, and everyday life. * Why bug fixing, governance, and feedback loops matter more than whatever shiny new model dropped this week. * What AI might do to law, education, white-collar work, and the way humans spend their time. Guest Bio: Bradford Carlton is a former attorney turned business consultant, automation strategist, and AI systems builder. After leaving the legal profession in 2018, he shifted into helping businesses improve operations through systems, processes, and task-based automation. Today, he builds agentic workflows and practical AI tools using platforms like N8N and Claude Code, with a focus on making messy human work more structured, testable, and scalable. Enjoy the episode. This show is brought to you by Wrench.ai [http://wrench.ai]. Follow Dan: LinkedIn: https://www.linkedin.com/in/danbaird/ [https://www.linkedin.com/in/danbaird/]X: https://x.com/mrdanbaird [https://x.com/mrdanbaird] Follow Bradford: LinkedIn: https://www.linkedin.com/in/bradfordcarlton/ [https://www.linkedin.com/in/bradfordcarlton/] Follow the Pod: YouTube: https://www.youtube.com/@burnthemappodcast [https://www.youtube.com/@burnthemappodcast]Twitter/X: https://x.com/BurnTheMapPod [https://x.com/BurnTheMapPod]Instagram: https://www.instagram.com/burnthemappodcast/ [https://www.instagram.com/burnthemappodcast/]TikTok: https://www.tiktok.com/@burnthemappodcast [https://www.tiktok.com/@burnthemappodcast]BlueSky: https://bsky.app/profile/burnthemappodcast.bsky.social [https://bsky.app/profile/burnthemappodcast.bsky.social] Selected Links From This Episode: * Bradford Carlton website: https://bradfordcarlton.com [https://bradfordcarlton.com/] * Burn The Map: https://burnthemapshow.com/ [https://burnthemapshow.com/] * Wrench.ai: https://wrench.ai [https://wrench.ai/] People and Organizations Mentioned: * Bradford Carlton * Dan Baird * Wrench.ai * ChatGPT * Claude Code * N8N * Gemini * Nvidia * Tesla * Google Merchant Center * Reddit * Facebook * YouTube Show Notes & Timestamps: * 01:33 — First encounters with GPT-era AI and the early frustration of auto-generated junk * 03:35 — From failed autocoding attempts to visual builders, YouTube content, and Bradford's "Roger" framework * 05:13 — Why Claude Code changed everything and how Bradford now structures his workflow around it * 06:12 — Of 600 workflows, what actually works? The difference between building volume and building value * 07:24 — The bug-reporting bot: Bradford's favorite system because everything else keeps breaking * 09:10 — The DEFT system: diet, exercise, fitness, and tracking as a real-world AI use case * 09:56 — Why the hard part isn't generation—it's feedback loops, refinement, and prevention * 12:16 — AI-enabled organizations, orchestration layers, and the risk of "completed" work that never reaches the customer * 15:19 — How Bradford starts new builds: prompt, plan, iterate, break, debug, repeat * 18:52 — Building a homeschool bot and what personalized AI tutoring means for education * 21:06 — Why systems and process discipline matter more than hype * 22:06 — Most businesses don't know what they actually do all day * 25:09 — Why law is one of the professions most exposed to AI disruption * 27:26 — Keeping up with a field that seems to reinvent itself every week * 28:37 — Human jobs, digital twins, and the future of interpersonal work * 32:01 — What happens when bots make agreements on behalf of people? * 34:30 — The new bottleneck: simple tasks that still require human hands * 35:48 — Why building with AI feels more like chess than coding * 41:43 — Pricing AI work in a race-to-the-bottom market * 44:08 — The adoption curve: why most of the market still barely understands what these tools can do * 49:02 — Bradford's practical advice: start with process clarity, then use N8N before jumping into full code

Burn The Map: Random Acts of Marketing Are Killing Your Growth w/ Michael "Buzz" Buzinski

In This Episode: We talk to Michael "Buzz" Buzinski about what it takes to build a company that can actually grow without the founder becoming the bottleneck, the brand, and the burnout point all at once. Buzz breaks down why so many B2B founder-led businesses get stuck in what he calls random acts of marketing—a messy cycle of reactive decisions, scattered messaging, and growth that depends way too much on the owner staying in the middle of everything. We also get into why B2B buying is still emotional no matter how much people pretend it's rational, why most "AI experts" are sprinting way ahead of reality, and why judgment, context, and lived experience are only getting more valuable as the cost of content drops toward zero. It's part growth strategy, part anti-hype AI conversation, and part founder therapy session. What We Cover: * Why being a "useful" founder can actually make your company less valuable * What random acts of marketing look like, and how they quietly wreck growth * Why B2B buyers run on emotion first and logic second * The case for building a founder-free revenue engine * Why AI is powerful, but still needs adults in the room * How expertise, institutional knowledge, and human judgment become more valuable in an automated world Guest Bio: Michael "Buzz" Buzinski is the founder of Buzzworthy Integrated Marketing, where he helps B2B founder-led companies build scalable, founder-free revenue engines. With a background spanning creative, strategy, branding, and entrepreneurship, Buzz focuses on helping businesses escape reactive growth, simplify their messaging, and stop depending on founder heroics to make the whole thing work. He's also the host of Becoming Founder Free, where he explores how entrepreneurs can grow companies that don't collapse every time the founder steps away. Enjoy the episode. This show is brought to you by Wrench.ai [http://wrench.ai]. Follow Dan: LinkedIn: https://www.linkedin.com/in/danbaird/ [https://www.linkedin.com/in/danbaird/]X: https://x.com/mrdanbaird [https://x.com/mrdanbaird] Follow Buzz: LinkedIn: https://www.linkedin.com/in/michaelbuzinski/ [https://www.linkedin.com/in/michaelbuzinski/] Follow the Pod: YouTube: https://www.youtube.com/@burnthemappodcast [https://www.youtube.com/@burnthemappodcast]Twitter/X: https://x.com/BurnTheMapPod [https://x.com/BurnTheMapPod]Instagram: https://www.instagram.com/burnthemappodcast/ [https://www.instagram.com/burnthemappodcast/]TikTok: https://www.tiktok.com/@burnthemappodcast [https://www.tiktok.com/@burnthemappodcast]BlueSky: https://bsky.app/profile/burnthemappodcast.bsky.social [https://bsky.app/profile/burnthemappodcast.bsky.social] Selected Links From This Episode: * Buzzworthy Integrated Marketing: https://buzzworthystrategies.com/ [https://buzzworthystrategies.com/] * Becoming Founder Free: https://buzzworthy.captivate.fm/ [https://buzzworthy.captivate.fm/] * Wrench.ai — https://wrench.ai [https://wrench.ai/] People and Organizations Mentioned: * Michael "Buzz" Buzinski * Dan Baird * Buzzworthy Integrated Marketing * Wrench.ai * ChatGPT * Claude * Perplexity * Google * Apple * Microsoft * IBM * Samsung * NotebookLM * Michael Gerber * Dan Sullivan * Dr. Benjamin Hardy Show Notes & Timestamps: * 00:08 — Dan and Buzz kick off with remote work, virtual happy hours, and why real conversations still matter * 02:08 — The coming wave of boomer-owned businesses that may never sell * 02:57 — Buzz's mission to help create 17 million jobs through entrepreneurship * 05:23 — How Buzz reverse-engineered growth into a jobs-created model * 07:13 — Dan's "smile wrinkles" metric and what success actually looks like * 08:24 — Why helping build companies from zero to one matters more than ownership * 10:41 — Time as the only truly non-replenishable commodity * 11:26 — AI, work ethic, and why Buzz thinks Gen Alpha may revolt against digital overload * 19:10 — Taking B2B marketing from boring to buzzworthy * 20:09 — Why B2B buying is still emotional, even when everyone pretends it's rational * 25:10 — Buzz's FOCUS framework: fix one clearly urgent struggle for one clearly unique stakeholder * 27:56 — Why most self-proclaimed AI experts are bluffing * 30:14 — The real bottleneck in AI: human adoption, not capability * 35:25 — Why 10-year plans may already be obsolete * 46:14 — "Knowledge is no longer power": Buzz's thesis for the post-AI era * 47:16 — Why expertise and context matter more now, not less * 48:44 — Why smaller B2B firms should stay off the bleeding edge * 1:04:14 — As AI cheapens content, human fingerprints become more valuable * 1:07:27 — Why "authenticity" is overused but still hard to fake * 1:09:16 — How Buzz uses AI as a writing partner without handing over his voice * 1:18:49 — "A useful founder has a useless company" * 1:20:15 — The goal: build a company that no longer depends on founder approval * 1:21:21 — Where to find Buzz and why founder dependency is only getting worse

Burn The Map: Digital Twins, Human Judgment, and AI That Actually Works w/ Stephanie Sylvestre

In This Episode: We talk to Stephanie Sylvestre about what it means to build AI that actually helps people instead of just adding more noise, risk, and technical debt to the pile. She's been working in this space long before the current AI hype cycle, and her perspective is refreshingly grounded: useful AI should remove busywork, expand human capacity, and still keep a human in the driver's seat. Stephanie walks through the accidental origin story behind AvatarBuddy, her belief that mentorship is really a supply chain problem, and why digital twins could make guidance, support, and opportunity available at a scale the real world has never been able to offer. We also get into the less sexy—but way more important—side of AI: responsible implementation, secure systems, bloated code, fake experts, and why "faster" is not the same thing as "better." What We Cover: * How a misheard conversation led Stephanie to the idea of digital mentors * Why human-centered AI beats AI-for-AI's-sake every time * The real reason vibe coding won't replace actual developers * What most people get wrong about autonomous agents and AI safety * Why expertise, judgment, and ethical responsibility still matter in an AI-first world Guest Bio: Stephanie Sylvestre is an AI entrepreneur, operator, and co-founder of AvatarBuddy, where she's building practical, human-centered AI agents designed to remove busywork and expand access to mentorship and support. Before that, she led technology and operations in high-stakes environments, including public-sector leadership in Miami, where her long-range cloud and automation strategy helped organizations stay functional through COVID disruption. Her work sits at the intersection of systems thinking, responsible AI, and real-world human impact. Enjoy the episode. This show is brought to you by Wrench.ai [http://wrench.ai]. Follow Dan: LinkedIn: https://www.linkedin.com/in/danbaird/ [https://www.linkedin.com/in/danbaird/]X: https://x.com/mrdanbaird [https://x.com/mrdanbaird] Follow Mike: LinkedIn: https://www.linkedin.com/in/stephanie-a-sylvestre/ [https://www.linkedin.com/in/stephanie-a-sylvestre/] Follow the Pod: YouTube: https://www.youtube.com/@burnthemappodcast [https://www.youtube.com/@burnthemappodcast]Twitter/X: https://x.com/BurnTheMapPod [https://x.com/BurnTheMapPod]Instagram: https://www.instagram.com/burnthemappodcast/ [https://www.instagram.com/burnthemappodcast/]TikTok: https://www.tiktok.com/@burnthemappodcast [https://www.tiktok.com/@burnthemappodcast]BlueSky: https://bsky.app/profile/burnthemappodcast.bsky.social [https://bsky.app/profile/burnthemappodcast.bsky.social] Selected Links From This Episode: * AvatarBuddy: https://avatarbuddy.co [https://avatarbuddy.co/] People and Organizations Mentioned: * Stephanie Sylvestre * Dan Baird * AvatarBuddy * Wrench.ai * Hewlett Packard * Belize * Miami * Meta * Google Show Notes & Timestamps: * 01:14 — The accidental origin story: mishearing "digital mentors" * 02:38 — Why mentorship is a supply chain problem AI can help solve * 03:18 — Belize, poverty, and the systems view that shaped Stephanie's worldview * 04:42 — Learning computer science from an original Unix coder * 05:23 — From consulting to CIO, and the backstory behind "CIO of the Year" * 06:18 — Building a fully cloud-based operation before COVID hit * 08:06 — Funding agencies through the pandemic and keeping Miami from going sideways * 10:41 — The early days of AvatarBuddy and building with teens in low-resource communities * 12:33 — First prototype, intern talent, and mentoring young operators without burning them out * 16:29 — Auto-backup, safe failure, and how to help people push the envelope * 17:22 — Mining the internet for trends and developing real technical talent early * 19:07 — Why coding is only a fraction of what great developers actually do * 20:35 — AI-generated code, technical debt, and the problem with bloated repos * 22:34 — The right and wrong ways to use vibe coding * 23:16 — Security risks, root access, and why sloppy AI implementation gets dangerous fast * 32:57 — Open tools, security updates, and not surrendering the driver's seat to AI * 35:47 — Why unsupervised agentic AI is like hiring a teenager to handle your top customer * 37:56 — Responsible AI, human review, and the real copy-paste-edit workflow * 39:53 — Why content knowledge still matters in an AI world * 41:13 — The future of AI: smaller models, data vaults, and specialized agents * 44:52 — Where humans still create the real value * 47:41 — How to spot true experts versus charlatans * 50:05 — When not to use AI, and why simple beats impressive * 52:51 — Stephanie's filter: too complex, too costly, or ethically off? Hard no. * 53:26 — The future of AvatarBuddy: digital twins and personality chips * 55:37 — Trauma-informed AI, biometrics, and staying in equilibrium * 56:23 — Where to find Stephanie and a Burn The Map listener bonus * 56:45 — Who Stephanie follows to stay sharp on AI

Burn The Map: Why Human-First AI Wins w/ Mike Montague

In This Episode: We talk to Mike Montague about what it looks like to use AI without becoming lazy, robotic, or completely unbearable. Mike's the founder of Avenue9, a marketer-who-codes, a broadcaster-turned-podcaster, and one of the few people talking about AI in a way that doesn't sound like either a doomer spiral or a LinkedIn hallucination. His core bet is simple: AI should make humans better at building trust, not better at faking it. Mike breaks down why so much "agentic AI" still feels more like a magic trick than true autonomy, why most companies are using personalization in the dumbest possible way, and why the real opportunity is in removing friction—not replacing human judgment. He and Dan also get into cognitive overload, AI burnout, context engineering, the small-business advantage, and why average work is about to have a very hard time hiding. This is a sharp one for anyone trying to figure out how to use AI to get more human, not less. What We Cover: * Why AGI may be closer than people think—but still isn't here * The difference between Terminator AI and Iron Man AI * Why "human-first AI marketing" is really about trust, context, and judgment * How fake personalization backfires the second people smell the template * Why small businesses may be better positioned than giant brands in the AI shift * The three types of work—physical, intellectual, and emotional—and why marketing lives in the messiest category * How context engineering helps train AI on what actually makes a company different * Why speed alone is not the win if it fries your brain in the process * How to think about work, creativity, and finding the thing that makes you come alive Guest Bio: Mike Montague is the founder of Avenue9 and the host of the Human First AI Marketing podcast. He's spent his career at the intersection of sales, marketing, media, and technology—combining broadcaster instincts, systems thinking, and a sharp eye for what actually earns attention. Mike is also the author of Playful Humans, where he explores creativity, emotional work, and how people can build lives and careers around what makes them come alive. His work focuses on helping companies use AI to amplify human connection instead of automating the soul out of the experience. Enjoy the episode. This show is brought to you by Wrench.ai [http://wrench.ai]. Follow Dan: LinkedIn: https://www.linkedin.com/in/danbaird/ [https://www.linkedin.com/in/danbaird/]X: https://x.com/mrdanbaird [https://x.com/mrdanbaird] Follow Mike: LinkedIn: https://www.linkedin.com/in/mikedmontague/ [https://www.linkedin.com/in/mikedmontague/] Follow the Pod: YouTube: https://www.youtube.com/@burnthemappodcast [https://www.youtube.com/@burnthemappodcast]Twitter/X: https://x.com/BurnTheMapPod [https://x.com/BurnTheMapPod]Instagram: https://www.instagram.com/burnthemappodcast/ [https://www.instagram.com/burnthemappodcast/]TikTok: https://www.tiktok.com/@burnthemappodcast [https://www.tiktok.com/@burnthemappodcast]BlueSky: https://bsky.app/profile/burnthemappodcast.bsky.social [https://bsky.app/profile/burnthemappodcast.bsky.social] Selected Links From This Episode: * Avenue9: https://avenue9.com/ [https://avenue9.com/] * Human First AI Marketing podcast: https://www.youtube.com/@avenue9ai [https://www.youtube.com/@avenue9ai] * Wrench.ai: https://wrench.ai [https://wrench.ai/] People and Organizations Mentioned: * Mike Montague * Dan Baird * Avenue9 * Wrench.ai * Meta * Anthropic * Google NotebookLM * Netflix * Seth Godin * Rory Sutherland * Lex Friedman * Shelley Palmer Show Notes & Timestamps:01:05 — Why AI adoption went from taboo to everywhere to polarizing 02:00 — Is AGI close? Mike's take on the next 3–4 years 02:28 — Why agentic AI still feels like a magic trick 03:29 — What changed in real workflow: replacing old work vs evolving new work 05:21 — Why Mike trademarked "human-first AI marketing" 07:00 — The three types of work: physical, intellectual, and emotional 09:43 — Information overload, AI burnout, and cognitive fatigue 11:17 — Automating low-value decisions to protect meaningful work 12:07 — Terminator vs Iron Man: two competing visions of AI 14:09 — What most companies are getting wrong with AI 15:21 — Human + AI capability mapping inside an organization 16:18 — Where AI is clearly useful: translation, transcription, scale 17:38 — Where human context still matters most in marketing and service 18:36 — Context engineering and training AI like a new employee 21:15 — Personalization, long-tail products, and what custom experiences could become 23:38 — Why small businesses may have the biggest AI advantage 25:01 — AI-generated outreach, job applications, and the return of human filtering 26:13 — Why people reward real effort with real attention 28:44 — Novelty, emotion, and what actually makes ideas spread 30:10 — Why Mike refuses to chase shortcuts and growth hacks 31:35 — Playful Humans, interviewing 250 people who "play" for a living 34:03 — How to find your "muse" and work that feels natural 37:02 — Why "What do you want to be?" is the wrong question 38:23 — Burn the Map, order vs chaos, and why interesting work lives in between 39:39 — Dan's take on displacement, productivity, and why average work is vulnerable 41:24 — Why Burn The Map exists: conversations with people who have a fire in their belly 44:22 — Where to find Mike and who should check out his work 45:16 — Mike's favorite thinkers and voices in marketing and AI

Burn The Map: Community, Concrete, and the Coming Automation Wave w/ Matthew Byrd

In This Episode: We talk to Matthew Byrd about what it takes to build a real community around emerging technology instead of just slapping "innovation" on a sales deck and calling it a day. Matthew is the founder of Reality Capture Network (RCN) and the guy behind R-CON, a conference built for the people modernizing the physical world—construction, infrastructure, facilities, transportation, and all the messy, essential systems that keep society standing up. He breaks down why the built environment is such a massive and overlooked opportunity, how digitizing physical spaces unlocks everything from AI analysis to robotics to autonomous vehicles, and why the real leverage isn't just in the tech—it's in helping people understand what the tech is actually for. We also get into a deeper thread running underneath the whole conversation: why community matters more than content, why in-person relationships still beat digital convenience, and why the people shaping the future should probably be the ones close enough to the work to understand the consequences. What We Cover: * Why Matthew built RCN and R-CON to close the education gap around emerging tech in the built environment * How digitizing physical spaces creates the foundation for AI, robotics, autonomy, and smarter infrastructure * Why autonomous driving, delivery, and robotics are coming faster than most people think * The difference between a real community and a dressed-up sales funnel pretending to be one * Why giving value without strings attached is still one of the best business strategies on earth * Why in-person events, handshakes, and actual human connection still outperform a mountain of cold outreach Guest Bio: Matthew Byrd is the founder of Reality Capture Network (RCN) and creator of R-CON, an annual conference focused on emerging technologies shaping the built environment. With a background in surveying and hands-on work across hospitals, airports, freeways, and infrastructure projects, Matthew built his platform around a simple idea: if technology is going to transform how we build and operate the physical world, the people in that world need a better way to learn, connect, and adapt. He's equal parts industry translator, community builder, and believer in getting involved before the future gets decided for you. Enjoy the episode. This show is brought to you by Wrench.ai [http://wrench.ai]. Follow Dan: LinkedIn: https://www.linkedin.com/in/danbaird/ [https://www.linkedin.com/in/danbaird/]X: https://x.com/mrdanbaird [https://x.com/mrdanbaird] Follow Matthew: LinkedIn: https://www.linkedin.com/in/matthewbyrdprofile/ [https://www.linkedin.com/in/matthewbyrdprofile/] Follow the Pod: YouTube: https://www.youtube.com/@burnthemappodcast [https://www.youtube.com/@burnthemappodcast]Twitter/X: https://x.com/BurnTheMapPod [https://x.com/BurnTheMapPod]Instagram: https://www.instagram.com/burnthemappodcast/ [https://www.instagram.com/burnthemappodcast/]TikTok: https://www.tiktok.com/@burnthemappodcast [https://www.tiktok.com/@burnthemappodcast]BlueSky: https://bsky.app/profile/burnthemappodcast.bsky.social [https://bsky.app/profile/burnthemappodcast.bsky.social] Selected Links From This Episode: * Reality Capture Network: https://realitycapturenetwork.com [https://realitycapturenetwork.com/] * R-CON 2026: https://r-con2026.com [https://r-con2026.com/] * Wrench.ai: https://wrench.ai [https://wrench.ai/] People and Organizations Mentioned: * Matthew Byrd * Dan Baird * Reality Capture Network * R-CON * Wrench.ai * Steve Jobs * Hilti * Niantic * Amazon * Boise State Show Notes & Timestamps: * 00:08 — Dan welcomes Matthew and asks the obvious question: what the hell is R-CON, and why build it? * 01:34 — Matthew explains RCN, R-CON, and the education gap around emerging built-environment technology * 04:56 — Why the built environment is such a compelling and important vertical * 07:35 — The giant opportunity in modernizing trillion-dollar physical industries * 09:28 — Digitizing physical spaces: the foundation for AI, robotics, and autonomy * 10:40 — Pokémon Go, mapped movement data, and the strange path to robotic delivery * 13:53 — Will AI replace jobs, or just remove the worst tasks? * 14:56 — Why Matthew believes autonomous driving will reshape society in the next decade * 17:27 — Manual driving, public resistance, and why people need a voice in how tech gets adopted * 21:36 — The return of analog: cars, phones, and the backlash against overdesigned tech * 25:25 — The hardest part of building a community-centered business * 26:13 — Matthew on why he sees himself less as a technologist and more as a connector * 27:33 — Why in-person conferences still beat virtual when real trust is on the line * 30:49 — What actually makes a community real—and what makes it fake * 34:23 — Giving without strings attached and why that creates stronger long-term outcomes * 36:08 — Where to find Matthew, RCN, and R-CON * 37:44 — Why people need other builders around them, especially in the digital age * 39:31 — Open bars, casino nights, football fields, and the mechanics of making business relationships actually happen * 41:00 — Why not burning bridges still matters more than most people admit