Burn The Map

In This Episode:

We talk to Andrea Olsen about what happens when neuroscience, machine learning, and longevity research stop being separate lanes and start crashing into each other. Andrea is studying computational neural systems, building Luria Health, and thinking way beyond the usual "AI in healthcare" clichés. We get into brain-computer interfaces, digital twins, occupational health, lucid dreaming, memory hacks, and the very real possibility that the future of medicine looks a lot more personalized—and a lot less dumb. If you've ever wondered what it looks like when someone is equally obsessed with the brain, the body, and the systems we use to keep both alive, this one delivers.

What We Cover:

How Andrea ended up at the intersection of neuroscience, machine learning, and business. Why brain-computer interfaces could change life for people with paralysis, sensory loss, and cognitive injury. The difference between generic AI hype and building medical systems that doctors might actually trust. How Luria Health is using AI to predict and prevent emergencies in high-risk work environments. What longevity "escape velocity," digital twins, and even digitized consciousness could mean in practice.

Guest Bio:

Andrea Olsen is a computational neural systems student, neuroscience researcher, and founder of Luria Health. Her work sits at the edge of brain science, AI, occupational medicine, and longevity—spanning everything from BCIs and medical copilots to personalized health systems designed to predict problems before they become disasters. She's also contributed to conversations around moonshot health innovation through XPRIZE and brings the kind of curiosity that tends to make normal people feel under-caffeinated.

Enjoy the episode. This show is brought to you by Wrench.ai.

Follow Dan: LinkedIn: https://www.linkedin.com/in/danbaird/ X: https://x.com/mrdanbaird

Follow Andrea:

LinkedIn: https://www.linkedin.com/in/andrea-olsen-0987654321/

Follow the Pod: YouTube: https://www.youtube.com/@burnthemappodcast Twitter/X: https://x.com/BurnTheMapPodInstagram: https://www.instagram.com/burnthemappodcast/ TikTok:https://www.tiktok.com/@burnthemappodcast BlueSky: https://bsky.app/profile/burnthemappodcast.bsky.social

Selected Links From This Episode:

• Luria Health: https://luria.health

• Wrench.ai: https://wrench.ai

• Caltech

• XPRIZE

• Insilico Medicine

• PubMed

People and Organizations Mentioned:

• Andrea Olsen

• Dan Baird

• Luria Health

• Caltech

• XPRIZE

• Peter Diamandis

• David Sinclair

• Jamie Justice

• Alex Zhavoronkov

• Insilico Medicine

• Neuralink

• Science Corp

• OpenAI

• Shapiro Lab

• Wrench.ai

Show Notes & Timestamps:

• 00:08 — Andrea's academic stack: computational neural systems, neuroscience, and business

• 01:05 — How machine learning borrows from the brain

• 03:08 — Brain-computer interfaces, paralysis, and giving people "superpowers"

• 04:33 — Why invasive neural implants are still so difficult

• 05:49 — Ultrasound, Neuralink, and where BCI research is heading

• 07:08 — What pulled Andrea into neuroscience in the first place

• 10:02 — Memory palaces, dyslexia, and the startup idea she almost built

• 10:57 — Andrea's early AI work helping children with dyslexia and aphasia

• 11:52 — GANs explained simply

• 14:34 — Longevity Brain Lab and solving math problems during workouts

• 17:30 — Novelty, new stimuli, and changing your perception of time

• 19:07 — How Andrea got involved with XPRIZE

• 21:31 — The moonshot idea: digitizing consciousness

• 22:46 — Longevity escape velocity and the dream of outrunning death

• 23:20 — David Sinclair, vision restoration, and Yamanaka factors

• 28:26 — Glioblastoma, hard problems, and why Andrea chose to work on them

• 30:06 — Fasting, ketosis, and brain clarity

• 31:20 — Lucid dreaming, dream control, and sleep experimentation

• 35:24 — What Luria Health actually does

• 39:39 — Building a doctor copilot for occupational medicine

• 41:55 — The long-term vision: a personal longevity concierge

• 42:46 — Why generic LLMs shouldn't be trusted with your health

• 46:05 — How the medical training data is structured

• 50:38 — Where to find Andrea and what's live now

• 51:19 — Who she follows, learns from, and recommends

In This Episode:

We talk to D. Anastassia Lauterbach about what it actually takes to think clearly about AI when everyone else is either panicking, posturing, or treating it like magic. She brings a rare mix of operator experience, board-level governance perspective, and deep curiosity about how AI will reshape business, education, and society. We get into why AI literacy matters more than hype, what leaders keep getting wrong about adoption, and why understanding the limits of these systems is just as important as understanding their potential. If there's a throughline here, it's this: the future belongs to people who can engage with AI seriously, not just loudly.

What We Cover:

• Why AI literacy matters more than shallow tool fluency.

• How business leaders should think about AI governance, risk, and real adoption.

• The gap between AI hype and what these systems can actually do.

• Why education, critical thinking, and human judgment still matter more than ever.

• How Anastassia thinks about the long game for AI, business, and society.

Guest Bio:

D. Anastassia Lauterbach is a technology strategist, founder, author, and board director focused on artificial intelligence, cybersecurity, and corporate governance. She is the founder and CEO of AI Edutainment and has served in senior leadership and board roles across global technology and business organizations, including Qualcomm, Deutsche Telekom, easyJet, and Dun & Bradstreet. She is the author of The Artificial Intelligence Imperative and has taught and spoken widely on AI, innovation, and responsible technology.

Enjoy the episode. This show is brought to you by Wrench.ai.

Follow Dan: LinkedIn: https://www.linkedin.com/in/danbaird/ X: https://x.com/mrdanbaird

Follow Dr. Lauterbach:

LinkedIn: https://www.linkedin.com/in/dr-anastassia-lauterbach-021a004/

Follow the Pod: YouTube:https://www.youtube.com/@burnthemappodcast Twitter/X: https://x.com/BurnTheMapPodInstagram: https://www.instagram.com/burnthemappodcast/ TikTok:https://www.tiktok.com/@burnthemappodcast BlueSky: https://bsky.app/profile/burnthemappodcast.bsky.social

Selected Links From This Episode:

• Romy & Roby on Amazon

• AI Edutainment: https://www.aiedutainment.ai

• AI Snacks with Romy and Roby

• Wrench.ai: https://wrench.ai

People and Organizations Mentioned:

• Andrew Ng

• Yann LeCun

• Jürgen Schmidhuber

• Judea Pearl

• Stephen Wolfram

• Sam Altman

• DeepMind

• Anthropic

• OpenAI

• Meta

• Deutsche Telekom

• House of Lords

Show Notes & Timestamps:

• 01:01 — Anastassia's path: computational linguistics, immigration, big tech, and education

• 03:35 — Why AI hype exploded—and why most companies still don't understand the fundamentals

• 05:32 — AI literacy vs. AI fluency, and the House of Lords initiative

• 06:20 — What people get wrong about LLMs, reasoning, and consciousness

• 08:00 — Causality, counterfactuals, and why today's AI still falls short

• 10:05 — World models, human learning, and what machines still can't do well

• 11:43 — Theory of mind, chimpanzees, and the alignment problem

• 14:43 — Chinese open-weight models, cost advantages, and practical business use cases

• 18:10 — What Anastassia thinks Europe got wrong with the AI Act

• 21:47 — Synthetic data, bias, and copies of copies of copies

• 24:16 — Why "unbiased AI" is a fantasy

• 25:10 — AI as electricity—and why people still need to understand how it works

• 28:29 — Hallucinations, legal risk, and why narrow use cases matter

• 31:09 — Will AI widen the gap between the excellent and the passive?

• 34:34 — Why students want AI leadership and teachers often don't provide it

• 38:59 — Agentic workflows, governance, and the need for auditability

• 42:14 — GPU compute, CAPEX risk, and the hidden economics of AI infrastructure

• 49:14 — Personalized learning, education infrastructure, and what AI should actually improve

• 52:21 — What kids need most: applied math, writing, and disciplined skill-building

• 01:00:04 — Romy & Roby, where to find Anastassia, and what she's building next

In This Episode:

We talk to Kate DiLeo about why you can't just prompt your way into a brand people actually care about. Kate breaks down the difference between cranking out content and building messaging that genuinely moves people to act. She walks through how she rebuilt her business for the AI era without turning herself into a SaaS founder, why so many companies end up with bland, forgettable positioning after letting ChatGPT take the wheel, and why the real edge still comes from human judgment, clear methodology, and a deep understanding of how people make decisions. If your brand sounds fine but isn't converting, this one will hit a nerve.

What We Cover:

• Why AI-generated messaging so often turns into polished vanilla mush.

• The difference between "making content" and actually building a brand.

• How Kate compressed her branding process from multi-week workshops into faster, smarter AI-assisted sprints.

• Why tone of voice, ICP clarity, and differentiated messaging still have to start with human strategy.

• The brand metrics that actually matter—like sales-cycle compression, better-fit prospects, and faster movement from homepage to product page.

Guest Bio:

Kate DiLeo is a brand strategist, speaker, and messaging expert who helps B2B companies build brands that drive revenue. She's the creator of the Brand Trifecta methodology, a framework built to help companies clarify what they do, why it matters, and how to say it in a way that actually converts. With a background that blends marketing, sales, and linguistic anthropology, Kate brings a rare mix of strategic rigor and real-world practicality to the messy work of brand building.

Enjoy the episode. This show is brought to you by Wrench.ai.

Follow Dan: LinkedIn: https://www.linkedin.com/in/danbaird/ X: https://x.com/mrdanbaird

Follow Kate:

LinkedIn: https://www.linkedin.com/in/katedileo/

Follow the Pod: YouTube: https://www.youtube.com/@burnthemappodcast Twitter/X: https://x.com/BurnTheMapPodInstagram:https://www.instagram.com/burnthemappodcast/ TikTok: https://www.tiktok.com/@burnthemappodcast BlueSky:https://bsky.app/profile/burnthemappodcast.bsky.social

Selected Links From This Episode:

• Burn The Map: https://burnthemapshow.com/

• Wrench.ai: https://wrench.ai

People and Organizations Mentioned:

• Kate DiLeo

• Dan Baird

• Wrench.ai

• Claude

• ChatGPT

• HubSpot

• ConAgra

• Lovesac

• Pavilion

• Inbound

Show Notes & Timestamps:

• 00:08 — Dan opens with why the best podcast conversations start with genuine curiosity

• 01:12 — AI gets good enough to feel spooky: the white-collar "my job can be orchestrated" moment

• 03:55 — Kate on why AI-generated brand messaging keeps turning into beige sludge

• 06:05 — Kate's abandoned SaaS build, sunk costs, and the lesson that changed her business model

• 08:25 — Rebuilding a 10-year brand strategy business for faster, cheaper, AI-assisted delivery

• 10:33 — From Google Docs to markdown files: the new output clients actually want

• 11:16 — Dan on why people pay for judgment, not just production

• 12:06 — "Brand creates conversations that convert": Kate defines what branding is actually for

• 14:41 — The psychology of messaging and why language can't be separated from human behavior

• 18:06 — AI burnout, innovation fatigue, and the cost of building from FOMO

• 20:25 — Why businesses should stay in their zone of excellence instead of chasing every new tool

• 24:18 — Niche harder: why clearer positioning matters even more in the AI search era

• 29:29 — Why the old elevator pitch is broken—and what should replace it

• 32:10 — Kate's early sales career, DISC training, and the communication lesson that shaped her brand work

• 33:30 — Why aspirational branding fails and authenticity still wins

• 39:32 — Schtick vs. methodology: what actually gets you taken seriously

• 42:16 — The brand KPIs Kate actually trusts: homepage conversion, speed to product page, sales-cycle compression

• 47:48 — The simplest summary: strategy first, then AI

In This Episode:

We talk to Brad Groux about practical AI, automation, and the gap between flashy demos and systems that actually survive real work. As Co-Founder and CEO of Digital Meld, Brad operates like a builder first: cloud, workflow, Microsoft integrations, agent orchestration, and the messy reality of getting AI to do useful things inside a business. We get into his obsession with making AI operational instead of ornamental, why most teams are chasing optics instead of outcomes, and how his work across Digital Meld, OpenClaw, and Veritas Kanban reflects a bigger belief: the future belongs to people who can turn complexity into working systems.

What We Cover:

• Why most AI rollouts fail in practice: no workflow, no context, no operational backbone.

• The difference between talking about automation and actually shipping it inside a business.

• What Brad learned building in public across Digital Meld, OpenClaw's Microsoft ecosystem work, and Veritas Kanban.

• Why local-first, inspectable, hands-on systems matter more than polished AI theater.

• How operators can use AI for operations, decision support, data pipelines, and business intelligence without drowning in hype.

Guest Bio:

Brad Groux is the Co-Founder and CEO of Digital Meld, where he focuses on AI and automation architecture, workflow definition, Microsoft integration, and product direction. He hosts the Start Small, Think Big podcast with Digital Meld Co-Founder and CTO Robert Groux, covering practical AI, automation, data, analytics, and process improvement. Brad has also been publicly identified as a Microsoft maintainer and liaison for OpenClaw, and he builds in public through projects like Veritas Kanban, a local-first task management and orchestration tool for people working with AI agents.

Enjoy the episode. This show is brought to you by Wrench.ai.

Follow Dan: LinkedIn: https://www.linkedin.com/in/danbaird/ X: https://x.com/mrdanbaird

Follow Brad:

LinkedIn: https://www.linkedin.com/in/bradgroux/

Follow the Pod: YouTube: https://www.youtube.com/@burnthemappodcast Twitter/X: https://x.com/BurnTheMapPodInstagram: https://www.instagram.com/burnthemappodcast/ TikTok: https://www.tiktok.com/@burnthemappodcast BlueSky:https://bsky.app/profile/burnthemappodcast.bsky.social

Selected Links From This Episode:

• Digital Meld: https://digitalmeld.io/about

• Brad Groux on GitHub: https://github.com/bradgroux

• OpenClaw: https://openclaw.ai

• Peter Steinberger on OpenClaw and the future: https://steipete.me/posts/2026/openclaw

• Veritas Kanban: https://github.com/BradGroux/veritas-kanban

• Start Small, Think Big on Apple Podcasts: https://podcasts.apple.com/us/podcast/start-small-think-big-a-podcast-and-newsletter/id1802232903

People and Organizations Mentioned:

• Brad Groux

• Dan Baird

• Digital Meld

• OpenClaw

• Peter Steinberger

• Microsoft

• GitHub

• Anthropic

• OpenAI

• HubSpot

• Houston AI Club

• World Affairs Council of Greater Houston

• Wrench.ai

Show Notes & Timestamps:

• 00:08 — Brad's role at Digital Meld and why five-to-ten-year planning now feels more like five-to-ten-day planning

• 00:21 — Joining the OpenClaw team and working with Peter Steinberger

• 00:57 — Bringing agentic AI into Microsoft and the enterprise without handing it the keys to the kingdom

• 01:29 — Why AI has already changed Brad's business model

• 02:13 — The existential question: what happens when the tool can do your job?

• 03:15 — OpenClaw's speed, scale, and what one obsessed builder can now do

• 04:22 — Building clickable demos during live client calls

• 08:39 — Don't marry the model: foundations over hype

• 09:30 — Why Brad teaches SOPs and PRDs before tools

• 10:35 — "This is the first technology that teaches you how to use it"

• 11:49 — What actually matters in multi-agent architecture

• 13:07 — Why letting agents run wild is usually user error, not AI magic gone wrong

• 15:59 — How Digital Meld works with mid-market companies and where automation starts

• 17:52 — Talk to the people doing the work, not the exec who heard about AI on a golf course

• 19:22 — Cron jobs, daily briefings, and Brad's personal operating system

• 21:33 — Building "brainmail" and creating a shared source of truth across humans and agents

• 24:39 — Why building in public is becoming a serious career advantage

• 30:17 — Verification, hallucinations, and the feeling that labs keep moving the goalposts

• 31:31 — Brad's frustrations with Anthropic and why portability matters

• 37:41 — Brad's side projects, command center, and open-source workflow tools

• 38:31 — Why he built his own CRM instead of renewing HubSpot

• 45:43 — Why most big-company leaders aren't smarter — just higher up the org chart

• 50:40 — Optimism, accountability, and the need to build a future that isn't dictated by a handful of labs

• 55:35 — Decentralization, bad actors, and why apathy is the real enemy

• 58:55 — Where to find Brad and who he thinks is worth following

In This Episode:

We talk to Gabriela Bar about why AI governance is no longer a side conversation for lawyers and compliance people—it's becoming the dividing line between products that actually deserve trust and products that are basically theater. Gabriela breaks down what businesses get wrong when they rush to say they're "using AI," why most teams still don't ask nearly enough questions about how these systems actually work, and how the European approach to regulation is trying to protect human rights without choking innovation.

She also gets concrete: from GDPR and the EU AI Act to rescue robots, biased training data, black-box models, and the messy reality of building systems that are explainable to the people whose lives they affect. The throughline here is simple: if an AI system can shape access, opportunity, safety, or freedom, "trust us" is not good enough.

What We Cover:

• Why polished AI demos often hide weak governance, vague data practices, and a lot of smoke and mirrors

• What GDPR, the Data Act, and the EU AI Act actually do—in plain English

• Why most AI systems are not classified as high-risk, and why that distinction matters

• How fairness, diversity, and explainability show up in real product decisions—not just policy decks

• What a rescue robot taught Gabriela about biased data, synthetic data, and designing for the real world

• Why black-box AI is still the biggest problem in high-stakes systems like healthcare, hiring, policing, and public services

• How Gabriela uses LLMs in legal analysis: not as an oracle, but as a sparring partner

Guest Bio:

Gabriela Bar is an AI lawyer and ethics advisor based in Poland who works at the intersection of emerging technology, law, governance, and trustworthy AI. She advises businesses building AI systems, IoT products, and data-driven services, helping them design for legality, transparency, and accountability from the start. She also serves as an ethics advisor on EU-funded projects, where she helps turn abstract principles like fairness, diversity, and explainability into decisions teams can actually implement.

Enjoy the episode. This show is brought to you by Wrench.ai.

Follow Dan: LinkedIn: https://www.linkedin.com/in/danbaird/ X: https://x.com/mrdanbaird

Follow Gabriela:

LinkedIn: https://www.linkedin.com/in/gabrielabar/

Follow the Pod: YouTube: https://www.youtube.com/@burnthemappodcast Twitter/X: https://x.com/BurnTheMapPodInstagram: https://www.instagram.com/burnthemappodcast/ TikTok: https://www.tiktok.com/@burnthemappodcast BlueSky: https://bsky.app/profile/burnthemappodcast.bsky.social

Selected Links From This Episode:

• Burn The Map: https://burnthemapshow.com/

• Wrench.ai: https://wrench.ai

People and Organizations Mentioned:

• Gabriela Bar

• Dan Baird

• Wrench.ai

• European Union

• Google

• Microsoft

• OpenAI

Show Notes & Timestamps:

00:09 — Poland, Europe, and why this conversation matters now 01:53 — Dan's thesis: AI governance may be one of the most future-proof jobs in tech 04:03 — Why sign-off, accountability, and human responsibility aren't going away 06:24 — Gabriela on why teams need to interrogate AI products, not admire the packaging 07:02 — The problem with polished tools that can't explain where data is stored or how decisions are made 10:04 — A plain-English walkthrough of GDPR, the Data Act, and the EU AI Act 13:10 — What "high-risk AI" actually means and why most tools may not fall into that category 14:10 — Social scoring, surveillance, and the kinds of AI practices Europe is trying to stop 16:39 — Innovation versus restraint: should democracies regulate while competitors race ahead? 19:17 — What Gabriela's clients actually hire her to do 22:04 — Advising EU-funded projects and building ethics into AI from day one 24:40 — A rescue robot case study: fairness, diversity, and why training data can fail in the real world 28:47 — Why transparency and explainability depend on who needs the explanation 31:25 — The difference between ethics as a checkbox and ethics as an operating principle 34:29 — Why many companies still treat AI implementation like theater 37:22 — The AI ethics community's biggest concern: black-box decision making in high-stakes systems 40:20 — Explainable AI, practical accountability, and what users actually need to know 44:10 — How Gabriela uses LLMs in legal analysis and structured debate 47:08 — Which tools she avoids, and why data jurisdiction still matters 48:32 — Why she doesn't follow a single guru and prefers diverse sources of information 49:13 — Where to find Gabriela and follow her work

In This Episode:

We sit down with Kelly Pronek, go-to-market operator, pricing obsessive, and former Pricefx leader, for a conversation that starts with AI tooling and quickly turns into something bigger: how modern software businesses are being rebuilt in real time.

Kelly breaks down why pricing is still one of the hardest jobs in business, why most companies are rolling out AI like a preschool teacher dumping instruments on the floor, and why the real value in the next wave of software may not be the platform at all — it may be the taste, judgment, and specificity of the people using it.

This one moves from usage-based pricing and CRM sprawl to dyslexia, neurodivergence, implementation chaos, AI "employees" with hangovers, and the growing premium on real voice in a market flooded with sameness. It's a sharp conversation about what happens when software gets easier to build, harder to differentiate, and a lot more personal.

What We Cover:

• Why pricing is part science, part art, and still brutally difficult

• How AI is pushing SaaS from standardization back toward bespoke businesses

• The case for hybrid pricing models: subscription plus consumption

• Why performance-based pricing sounds great — until implementation gets in the way

• How small teams can now build internal tools that used to require enterprise vendors

• Why content created by AI still needs a human with taste, nuance, and a point of view

• Neurodivergence, learning styles, and how AI may unlock better ways to think and communicate

• Why authenticity is becoming more valuable as every company starts to sound the same

Guest Bio:

Kelly Pronek is a go-to-market and operations leader with deep experience across pricing, SaaS, revenue operations, and emerging business models. She previously spent nearly seven years at Pricefx and now works with startups and operators on go-to-market structure, pricing strategy, and practical AI adoption. Kelly is especially interested in how businesses can use AI to reduce friction, preserve authenticity, and build smarter systems without losing the human signal.

Enjoy the episode. This show is brought to you by Wrench.ai.

Follow Dan: LinkedIn: https://www.linkedin.com/in/danbaird/ X: https://x.com/mrdanbaird

Follow Kelly:

LinkedIn: https://www.linkedin.com/in/kpronek/

Follow the Pod: YouTube: https://www.youtube.com/@burnthemappodcast Twitter/X: https://x.com/BurnTheMapPodInstagram: https://www.instagram.com/burnthemappodcast/ TikTok:https://www.tiktok.com/@burnthemappodcast BlueSky: https://bsky.app/profile/burnthemappodcast.bsky.social

Selected Links From This Episode:

• Burn The Map website: https://burnthemapshow.com/

• Wrench.ai: https://wrench.ai

People and Organizations Mentioned:

• Kelly Pronek

• Dan Baird

• Pricefx

• Claude

• OpenAI

• HubSpot

• Klaviyo

• Notion

• N8N

• Apollo

• NotebookLM

Show Notes & Timestamps:

• 00:08 — Dan and Kelly open on pricing, AI, and why both are harder than they look

• 01:38 — Kelly on leaving Pricefx but staying obsessed with pricing

• 03:05 — AI token addiction, internal adoption chaos, and the question nobody asks: is this producing anything?

• 06:34 — "At least it tries": what AI changes for average vs. excellent workers

• 10:03 — Where people misuse AI most: content creation without human taste

• 12:01 — Writing style tells on you: checkboxes, em dashes, and the missing dot-dot-dot

• 13:27 — AI as a thinking partner, not just a writing engine

• 19:31 — Why neurodivergent people may have an edge in AI-native workflows

• 21:33 — Back to pricing: collapsing SaaS moats, custom tools, and the return of bespoke systems

• 23:08 — Why data matters more than software, and why most people won't use a CRM the way you hope

• 26:35 — Vibe coding, messy stacks, and the back-end nightmares nobody wants to talk about

• 29:41 — Kelly's path into pricing science and why smaller businesses have always had to price with less certainty

• 32:04 — How AI may make pricing software and pricing research more accessible

• 37:30 — AI as a force multiplier for technical founders who were never natural marketers

• 39:12 — Brand, culture, and why inauthentic companies feel like theft

• 41:54 — Kelly's startup pricing framework: know your costs, know the market, then price with conviction

• 43:37 — Hybrid and performance pricing: appealing in theory, messy in practice

• 45:22 — Implementation is the real bottleneck

• 48:08 — Which tools still matter when everyone's stack starts to blur together

• 49:33 — Kelly's favorite tools right now: Claude cowork, NotebookLM, and now Whisper

• 56:41 — Why AI may create more room for actual human connection, not less

• 57:55 — Most companies are still treating AI like unstructured playtime

• 59:36 — Decentralized AI, compute limits, and a fragile hope for moral infrastructure

In This Episode:

We talk to Angeley Mullins about what it actually takes to scale in a market where the ground keeps moving under your feet. She gets into the brutal gap between founder-led sales and real product-market fit, why most teams think they have a tech problem when they actually have a leadership problem, and why AI is exposing weak judgment faster than ever. From brand and content to org design and digital leadership, this conversation is a sharp look at what modern go-to-market really demands when speed, scrutiny, and automation are all turned up to eleven.

What We Cover:

• Why founder-led sales can create the illusion of product-market fit

• Why brand is still the original revenue driver, not some fluffy side project

• How AI is compressing product cycles and forcing leaders to move faster

• Why firing content teams right now is a spectacularly bad idea

• The shift from bloated teams to tiny groups of high-leverage operators

• Why "a tool is not a strategy" — and definitely not a leadership plan

Guest Bio:

Angeley Mullins is a go-to-market leader, advisor, and operator who has helped scale seven companies across big tech and high-growth startups, including businesses at IPO and unicorn stages. Based in Germany, she works at the intersection of AI, revenue, brand, and digital transformation, helping founders and CEOs build smarter, faster, and with a lot less delusion.

Enjoy the episode. This show is brought to you by Wrench.ai.

Follow Dan: LinkedIn:https://www.linkedin.com/in/danbaird/ X: https://x.com/mrdanbaird

Follow Angeley:

LinkedIn: https://www.linkedin.com/in/angeleymullins/

Instagram: https://www.instagram.com/angeleymullins/

Follow the Pod: YouTube: https://www.youtube.com/@burnthemappodcast Twitter/X: https://x.com/BurnTheMapPodInstagram: https://www.instagram.com/burnthemappodcast/ TikTok: https://www.tiktok.com/@burnthemappodcast BlueSky:https://bsky.app/profile/burnthemappodcast.bsky.social

Selected Links From This Episode:

• Angeley Mullins website: https://angeleymullins.org

• Burn The Map: https://burnthemapshow.com/

• Wrench.ai: https://wrench.ai

• The Revenue Divide Article: https://thenextweb.com/news/the-revenue-divide-us-vs-eu-leadership

People and Organizations Mentioned:

• Ninox

• Miro

• Vanta

• HubSpot

• Klaviyo

• Loveable

• Synthesia

• Clay

• Anthropic

• Google

• Gemini

• Microsoft

ShowNotes & Timestamps:

• 00:08 — Why GTM is harder than most people admit

• 01:32 — The real danger zone: fake product-market fit

• 03:03 — Why AI has made software competition brutally fast

• 04:24 — Brand isn't fluff — it's the original revenue driver

• 06:23 — How to rank in the GPT era: brand + content

• 08:24 — Why old decision cycles are dying

• 10:27 — Automating your own job before AI does it for you

• 11:35 — The hidden failure mode: AI throughput that isn't real

• 13:08 — AI, Google Maps, and the erosion of critical thinking

• 15:35 — What AI might fix in healthcare — and break in human judgment

• 17:02 — Why self-awareness and ego control define good leadership

• 20:43 — Why off-the-shelf CRMs rarely stay off the shelf

• 21:48 — Investors now want smaller, faster companies

• 25:06 — The rise of digital leaders and the death of bloated GTM orgs

• 28:33 — Why AI adoption is a huge consulting category now

• 29:39 — Which operators Angeley watches as the market shifts

• 31:25 — The coming white-collar displacement wave

• 34:20 — Europe vs. the U.S.: the real issue is culture, not tech

• 36:22 — Why Angeley thinks Asia is the real future

In This Episode:

We talk to Angeley Mullins about what it actually takes to scale in a market where the ground keeps moving under your feet. She gets into the brutal gap between founder-led sales and real product-market fit, why most teams think they have a tech problem when they actually have a leadership problem, and why AI is exposing weak judgment faster than ever. From brand and content to org design and digital leadership, this conversation is a sharp look at what modern go-to-market really demands when speed, scrutiny, and automation are all turned up to eleven.

What We Cover:

• Why founder-led sales can create the illusion of product-market fit

• Why brand is still the original revenue driver, not some fluffy side project

• How AI is compressing product cycles and forcing leaders to move faster

• Why firing content teams right now is a spectacularly bad idea

• The shift from bloated teams to tiny groups of high-leverage operators

• Why "a tool is not a strategy" — and definitely not a leadership plan

Guest Bio:

Angeley Mullins is a go-to-market leader, advisor, and operator who has helped scale seven companies across big tech and high-growth startups, including businesses at IPO and unicorn stages. Based in Germany, she works at the intersection of AI, revenue, brand, and digital transformation, helping founders and CEOs build smarter, faster, and with a lot less delusion.

Enjoy the episode. This show is brought to you by Wrench.ai.

Follow Dan: LinkedIn:https://www.linkedin.com/in/danbaird/ X: https://x.com/mrdanbaird

Follow Angeley:

LinkedIn: https://www.linkedin.com/in/angeleymullins/

Instagram: https://www.instagram.com/angeleymullins/

Follow the Pod: YouTube: https://www.youtube.com/@burnthemappodcast Twitter/X: https://x.com/BurnTheMapPodInstagram: https://www.instagram.com/burnthemappodcast/ TikTok: https://www.tiktok.com/@burnthemappodcast BlueSky:https://bsky.app/profile/burnthemappodcast.bsky.social

Selected Links From This Episode:

• Angeley Mullins website: https://angeleymullins.org

• Burn The Map: https://burnthemapshow.com/

• Wrench.ai: https://wrench.ai

• The Revenue Divide Article: https://thenextweb.com/news/the-revenue-divide-us-vs-eu-leadership

People and Organizations Mentioned:

• Ninox

• Miro

• Vanta

• HubSpot

• Klaviyo

• Loveable

• Synthesia

• Clay

• Anthropic

• Google

• Gemini

• Microsoft

ShowNotes & Timestamps:

• 00:08 — Why GTM is harder than most people admit

• 01:32 — The real danger zone: fake product-market fit

• 03:03 — Why AI has made software competition brutally fast

• 04:24 — Brand isn't fluff — it's the original revenue driver

• 06:23 — How to rank in the GPT era: brand + content

• 08:24 — Why old decision cycles are dying

• 10:27 — Automating your own job before AI does it for you

• 11:35 — The hidden failure mode: AI throughput that isn't real

• 13:08 — AI, Google Maps, and the erosion of critical thinking

• 15:35 — What AI might fix in healthcare — and break in human judgment

• 17:02 — Why self-awareness and ego control define good leadership

• 20:43 — Why off-the-shelf CRMs rarely stay off the shelf

• 21:48 — Investors now want smaller, faster companies

• 25:06 — The rise of digital leaders and the death of bloated GTM orgs

• 28:33 — Why AI adoption is a huge consulting category now

• 29:39 — Which operators Angeley watches as the market shifts

• 31:25 — The coming white-collar displacement wave

• 34:20 — Europe vs. the U.S.: the real issue is culture, not tech

• 36:22 — Why Angeley thinks Asia is the real future

In This Episode:

We talk to Chris Singel about comedy, marketing, AI, media trust, and the quietly unnerving future of work. Chris has spent more than 20 years making people laugh — teaching improv, sketch, and stand-up, and spending nearly a decade at Funny or Die — so he's got a sharp read on what actually lands with an audience versus what just tries too hard. His core idea: you probably can't teach someone to be funny, but you absolutely can help them understand what they find funny and how to make other people come along for the ride.

From there, the conversation gets bigger fast. We get into why crowd work is exploding, why authenticity is both powerful and dangerously easy to fake, and how AI is already good enough to change the way creative work gets made. Chris doesn't do the usual techno-utopian fantasy or anti-AI panic spiral. He's more interesting than that. He's asking the messier question: if machines increasingly handle the labor, what exactly are humans supposed to do with themselves — and are we ready for the answer?

What We Cover:

• Why comedy isn't magic, but it also isn't a formula you can copy-paste

• The difference between being shocking and being actually funny

• What stand-up teaches you about audiences, iteration, and killing your darlings

• Why comedians are often better listeners than the people interviewing them

• How comedy mechanics show up in branding, virality, and marketing

• What AI can already do well in writing and creative work — and where it still falls flat

• Why hyper-personalized media is coming fast, and why that's both useful and creepy

• The future of work, post-scarcity fantasies, and whether humans will know what matters when efficiency wins

Guest Bio:

Chris Singel is a marketer, comedian, former news producer, and founder of Delta Digital Agency. He spent nearly a decade at Funny or Die and has been performing and teaching comedy for over 20 years across improv, sketch, and stand-up. His work sits at the intersection of storytelling, audience psychology, and AI — helping brands communicate better while also exploring what happens when the machines get good enough to join the writer's room.

Enjoy the episode. This show is brought to you by Wrench.ai.

Follow Dan: LinkedIn: https://www.linkedin.com/in/danbaird/ X: https://x.com/mrdanbaird

Follow Chris:

LinkedIn: https://www.linkedin.com/in/csingel/

Instagram: https://www.instagram.com/csingel/

Follow the Pod: YouTube: https://www.youtube.com/@burnthemappodcast Twitter/X: https://x.com/BurnTheMapPodInstagram: https://www.instagram.com/burnthemappodcast/ TikTok: https://www.tiktok.com/@burnthemappodcast BlueSky: https://bsky.app/profile/burnthemappodcast.bsky.social

Selected Links From This Episode:

• Delta Digital Agency: https://deltadigitalagency.com/

• Wrench.ai: https://wrench.ai

• Burn The Map: https://burnthemapshow.com/

People and Organizations Mentioned:

• Funny or Die

• Delta Digital Agency

• Wrench.ai

• Zach Galifianakis

• Anthony Jeselnik

• Mitch Hedberg

• Norm Macdonald

• Tig Notaro

• Dave Chappelle

• Joe Rogan

• Theo Von

• CNN

• Fox News

• Tucker Carlson

• Jon Stewart

• Rupert Murdoch

• TJ Miller

• Rory Scovel

• Andy Haynes

• Danny Rouhier

• Chris Farley

• Mike Myers

Show Notes & Timestamps: 01:45 — Misdirection, offensive comedy, and the theory of benign violation 04:10 — Improv terminology, status, character, physicality, and Chris Farley's genius 05:21 — First-time stand-up advice: getting your first laughs and surviving your second set 06:12 — Is there a formula for comedy? Chappelle, structure, repetition, and art vs. mechanics 08:02 — What muscles comedy builds: audience awareness, restructuring, and point of view 09:39 — The hardest comedians to copy: Emo Philips, Mitch Hedberg, Norm Macdonald 10:57 — Shock value vs. actual craft, plus Tig Notaro's layered joke construction 12:12 — How comedy thinking applies to marketing, virality, and ad creative 13:08 — Funny or Die's volume game: make 12 things, let 6 flop, and scale what works 15:38 — Why comedians are strong listeners, and why crowd work dominates social clips 16:32 — Comedy podcasts, politics, and why comics now have media-scale influence 17:19 — Dave Chappelle, misinterpretation, and the risks of being treated as a truth source 18:55 — Trust, institutions, and the weird migration from journalism to personality media 21:21 — News ownership, incentives, and the corporate logic behind public narratives 23:53 — AI video, synthetic content, and the terrifying rise of actually watchable slop 27:45 — How AI changes creative work: prompting, iteration, and removing human middlemen 31:04 — Personalized marketing, emotional targeting, and the future of one-to-one persuasion 33:54 — AGI, recursive intelligence, and why the sci-fi future feels uncomfortably close 36:03 — What humans are still "needed" for when work gets automated 39:25 — AI, time freedom, and the trap of using saved time to just do more work 40:09 — Eisenhower matrices, family priorities, and deciding what actually matters 41:24 — What Chris is best at: persuasion, performance, and reading the room 43:08 — When persuasion backfires: scope creep, people pleasing, and values drift 47:39 — Chris's AI book experiments and what machine "thought" reveals about human anxiety 53:16 — Delta Digital Agency, how Chris works, and where to follow him online

In This Episode:

We talk to Chris Singel about comedy, marketing, AI, media trust, and the quietly unnerving future of work. Chris has spent more than 20 years making people laugh — teaching improv, sketch, and stand-up, and spending nearly a decade at Funny or Die — so he's got a sharp read on what actually lands with an audience versus what just tries too hard. His core idea: you probably can't teach someone to be funny, but you absolutely can help them understand what they find funny and how to make other people come along for the ride.

From there, the conversation gets bigger fast. We get into why crowd work is exploding, why authenticity is both powerful and dangerously easy to fake, and how AI is already good enough to change the way creative work gets made. Chris doesn't do the usual techno-utopian fantasy or anti-AI panic spiral. He's more interesting than that. He's asking the messier question: if machines increasingly handle the labor, what exactly are humans supposed to do with themselves — and are we ready for the answer?

What We Cover:

• Why comedy isn't magic, but it also isn't a formula you can copy-paste

• The difference between being shocking and being actually funny

• What stand-up teaches you about audiences, iteration, and killing your darlings

• Why comedians are often better listeners than the people interviewing them

• How comedy mechanics show up in branding, virality, and marketing

• What AI can already do well in writing and creative work — and where it still falls flat

• Why hyper-personalized media is coming fast, and why that's both useful and creepy

• The future of work, post-scarcity fantasies, and whether humans will know what matters when efficiency wins

Guest Bio:

Chris Singel is a marketer, comedian, former news producer, and founder of Delta Digital Agency. He spent nearly a decade at Funny or Die and has been performing and teaching comedy for over 20 years across improv, sketch, and stand-up. His work sits at the intersection of storytelling, audience psychology, and AI — helping brands communicate better while also exploring what happens when the machines get good enough to join the writer's room.

Enjoy the episode. This show is brought to you by Wrench.ai.

Follow Dan: LinkedIn: https://www.linkedin.com/in/danbaird/ X: https://x.com/mrdanbaird

Follow Chris:

LinkedIn: https://www.linkedin.com/in/csingel/

Instagram: https://www.instagram.com/csingel/

Follow the Pod: YouTube: https://www.youtube.com/@burnthemappodcast Twitter/X: https://x.com/BurnTheMapPodInstagram: https://www.instagram.com/burnthemappodcast/ TikTok: https://www.tiktok.com/@burnthemappodcast BlueSky: https://bsky.app/profile/burnthemappodcast.bsky.social

Selected Links From This Episode:

• Delta Digital Agency: https://deltadigitalagency.com/

• Wrench.ai: https://wrench.ai

• Burn The Map: https://burnthemapshow.com/

People and Organizations Mentioned:

• Funny or Die

• Delta Digital Agency

• Wrench.ai

• Zach Galifianakis

• Anthony Jeselnik

• Mitch Hedberg

• Norm Macdonald

• Tig Notaro

• Dave Chappelle

• Joe Rogan

• Theo Von

• CNN

• Fox News

• Tucker Carlson

• Jon Stewart

• Rupert Murdoch

• TJ Miller

• Rory Scovel

• Andy Haynes

• Danny Rouhier

• Chris Farley

• Mike Myers

Show Notes & Timestamps: 01:45 — Misdirection, offensive comedy, and the theory of benign violation 04:10 — Improv terminology, status, character, physicality, and Chris Farley's genius 05:21 — First-time stand-up advice: getting your first laughs and surviving your second set 06:12 — Is there a formula for comedy? Chappelle, structure, repetition, and art vs. mechanics 08:02 — What muscles comedy builds: audience awareness, restructuring, and point of view 09:39 — The hardest comedians to copy: Emo Philips, Mitch Hedberg, Norm Macdonald 10:57 — Shock value vs. actual craft, plus Tig Notaro's layered joke construction 12:12 — How comedy thinking applies to marketing, virality, and ad creative 13:08 — Funny or Die's volume game: make 12 things, let 6 flop, and scale what works 15:38 — Why comedians are strong listeners, and why crowd work dominates social clips 16:32 — Comedy podcasts, politics, and why comics now have media-scale influence 17:19 — Dave Chappelle, misinterpretation, and the risks of being treated as a truth source 18:55 — Trust, institutions, and the weird migration from journalism to personality media 21:21 — News ownership, incentives, and the corporate logic behind public narratives 23:53 — AI video, synthetic content, and the terrifying rise of actually watchable slop 27:45 — How AI changes creative work: prompting, iteration, and removing human middlemen 31:04 — Personalized marketing, emotional targeting, and the future of one-to-one persuasion 33:54 — AGI, recursive intelligence, and why the sci-fi future feels uncomfortably close 36:03 — What humans are still "needed" for when work gets automated 39:25 — AI, time freedom, and the trap of using saved time to just do more work 40:09 — Eisenhower matrices, family priorities, and deciding what actually matters 41:24 — What Chris is best at: persuasion, performance, and reading the room 43:08 — When persuasion backfires: scope creep, people pleasing, and values drift 47:39 — Chris's AI book experiments and what machine "thought" reveals about human anxiety 53:16 — Delta Digital Agency, how Chris works, and where to follow him online