Artificial Insights: Conversations About AI

Daniel Manary
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Candid conversations and real-world stories about how AI is changing work, life, and us. Every other Friday, host Daniel Manary talks with CEOs, CTOs, CAIOs, product managers, researchers, and founders about bringing AI ideas to market, separating hype from lasting impact. He explores the How's, What's, and Why's of Artificial Intelligence and digs into how this technology is changing the landscape of modern work and life, and more importantly, us.

  1. Inside the Messy Middle of Shipping AI w/ Patrick Belliveau, Managing Partner @ GambitCo

    3H AGO

    Inside the Messy Middle of Shipping AI w/ Patrick Belliveau, Managing Partner @ GambitCo

    AI feels easy right up until a team tries to ship it. Patrick Belliveau of GambitCo joins Daniel to talk about the messy middle between a promising prototype and something a business can actually trust. In this candid conversation, Daniel and Pat reflect on what changed between year one and year two of building an applied AI company. Pat explains why Gambit moved from fixed-price projects to retainer-based partnerships, how rapid prototyping helps teams stay close to the real problem, and why so many AI projects fail before they ever have a chance to deliver. Their conversation also explores agent orchestration, human-in-the-loop validation, the limits of black-box tools, and the organizational fear that can quietly sabotage adoption. One of the clearest ideas in the episode is that getting AI to do something once is not the hard part. Getting it to work twice, three times, and at scale is where the real work begins. For leaders tired of vague AI promises, this episode offers a grounded look at what it takes to make AI work in the real world. 🔑 What You’ll Learn in This Episode ✅ Why many AI projects fail before the technology is even the main issue✅ How rapid prototypes surface better feedback than long requirements documents✅ Why repeatability, validation, and human-in-the-loop design matter in production✅ How AI can improve both supply constraints and demand generation inside a business✅ Why internal communication can determine whether adoption succeeds or stalls🔗 Resources & Links 🌐 Learn more about GambitCo: https://gambitco.io/🤝 Connect with Patrick Belliveau on LinkedIn: https://ca.linkedin.com/in/patrick-belliveau🎗️ Explore AskEllyn: https://askellyn.ai/📩 Subscribe to the Artificial Insights newsletter: https://manary.haus/podcast/#haus👉 Have a guest in mind? Reach out to Daniel at daniel@manary.haus💬 Know someone trying to move AI from prototype to production? Share this episode with them.

    42 min
  2. Will AI Replace Humans in Lending? w/ Sharmeen Aqeel, Founder & CEO @ Lyyvora

    FEB 27

    Will AI Replace Humans in Lending? w/ Sharmeen Aqeel, Founder & CEO @ Lyyvora

    AI can automate matching and readiness checks in lending. It cannot automate trust. In this bonus clip, Daniel asks Sharmeen Aqeel how Lyyvora will scale as borrower volume grows. Sharmeen’s answer is simple: at an early-stage fintech, one broken interaction can damage credibility. Even if AI produces the "right" output, a human still needs to verify, interpret context, and provide real connection when borrowers are anxious or unsure. Sharmeen also looks ahead. If a "borrower-to-offers" workflow becomes trivial in a few years, Lyyvora's moat is not the application flow. It's the network and community she's building, and the trust that comes with it. 🎧 Want the full conversation? This clip comes from a longer episode on human-centered design in lending, AI as a founder multiplier, and why accessibility, not obstruction, is the real gap in healthcare finance. Full episode: https://rss.com/podcasts/manaryhaus/2565271/ 🔗 Resources & Links 🌐 Lyyvora: https://lyyvora.com/🤝 Connect with Sharmeen on LinkedIn: https://www.linkedin.com/in/sharmeen-aqeel/📩 Subscribe to the Artificial Insights newsletter for key takeaways: https://manary.haus/podcast/#haus👉 Have a guest in mind? Reach out to Daniel at daniel@manary.haus💬 Know a founder building an AI-enabled marketplace? Share this clip with them.

    5 min
  3. Fintech Without the Jargon: Making Healthcare Lending Accessible with AI w/ Sharmeen Aqeel, Founder & CEO @ Lyyvora

    FEB 20

    Fintech Without the Jargon: Making Healthcare Lending Accessible with AI w/ Sharmeen Aqeel, Founder & CEO @ Lyyvora

    Clinics get stuck in lending for a frustratingly simple reason: the process is hard to navigate. The information exists, lenders are willing, and qualified borrowers do get funded. But the path is not accessible, especially when you're running a clinic and don't have time to decode criteria buried across pages, videos, and jargon. Sharmeen Aqeel is the founder and CEO of Lyyvora, and she treated this as a human-centered design problem. Lyyvora is a Lending-as-a-Service platform built for healthcare and medical aesthetics clinics, designed to make “what happens next” clear: one streamlined intake, prescreening for readiness, and matching to vetted lenders who actually want qualified deals. AI matters here because it lowers the cost of judgment. It helps Lyyvora turn scattered lender requirements into usable decisioning, score borrower readiness, and match clinics to the best-fit lenders. In the episode, Daniel and Sharmeen also dig into where automation stops: trust still needs a human, especially in early-stage fintech. 🔑 What You’ll Learn in This Episode ✅ Why “lenders want to lend” can be true while the process still feels impossible for clinics✅ How human-centered design makes lending workflows legible without changing the underlying rules✅ Where AI helps with readiness, matching, and speed, and where humans stay in the loop for trust✅ What a lending marketplace changes for transparency and competition among lenders✅ Why building the lender side of a two-sided network can be easier than reaching borrowers✅ How a solo founder can accomplish what used to require a team with the help of AI✅ How some things you do as a solo founder should never be delegated to AI🔗 Resources & Links 🤝 Connect with Sharmeen on LinkedIn: https://www.linkedin.com/in/sharmeen-aqeel/🌐 Lyyvora: https://lyyvora.com🏢 Lyyvora on LinkedIn: https://ca.linkedin.com/company/lyyvora📩 Subscribe to the Artificial Insights newsletter for key takeaways: https://manary.haus/podcast/#haus👉 Have a guest in mind? Reach out to Daniel at daniel@manary.haus💬 Know someone working on AI in financial services or marketplaces? Share this episode with them.

    42 min
  4. Who Pays When AI Uses Your Work? w/ Julie Trelstad, Head of US Publishing @ Amlet.ai

    FEB 13

    Who Pays When AI Uses Your Work? w/ Julie Trelstad, Head of US Publishing @ Amlet.ai

    AI licensing can sound like a moral argument until you look at the product constraints. If the best material is behind paywalls and contracts, “just scrape it” stops working. In this bonus clip, Daniel pressures the obvious skeptical question: if big AI companies can afford lawsuits, why bother building fair, legal access at all? Julie Trelstad’s answer is practical. She expects the next wave of AI advancements to include many more small, domain-specific models, and those models will need verified, high-quality sources like textbooks and peer-reviewed journals. 🎧 Want the bigger picture? This clip is one piece of a longer conversation with Julie about “AI rights” in publishing, how provenance and permissions can become machine-readable, and what it could look like for creators to get paid when their work is used. Check out the full episode here: https://rss.com/podcasts/manaryhaus/2525377/ 🔗 Resources & Links 🌐 Julie’s work at Paperbacks & Pixels: https://paperbacksandpixels.com/ 🧩 Amlet (register and license AI rights): https://amlet.ai/ 📩 Subscribe to the Artificial Insights newsletter for key takeaways: https://manary.haus/podcast/#haus 👉 Have a guest in mind? Reach out to Daniel at daniel@manary.haus🚀 This episode spark an idea? Share it with someone building with domain data.

    3 min
  5. AI Training Data Meets Copyright: How Publishing Can License Content at Scale w/ Julie Trelstad, Head of US Publishing @ Amlet.ai

    FEB 6

    AI Training Data Meets Copyright: How Publishing Can License Content at Scale w/ Julie Trelstad, Head of US Publishing @ Amlet.ai

    AI has been trained on the world’s writing. Now, we have to figure out how creators prove ownership, set permissions, and get paid when their work is used. Julie Trelstad has spent 30 years inside publishing’s biggest technology shifts, from desktop publishing to eBooks to print-on-demand to self-publishing. In this episode, she explains why AI is forcing publishing into a new kind of rights era, one where piracy and fast imitation can flood the market within days of a book launch. Julie is Head of US Publishing at Amlet.ai and runs Paperbacks & Pixels. She walks through what “AI rights” means in practice, why book rights sales already power much of the industry, and how systems like ISCC fingerprinting can make ownership and usage terms machine-readable without exposing the full text. Daniel and Julie also dig into what happens when high-value content moves behind paywalls, why smaller domain models will need licensed, high-quality sources, and what fair compensation could look like when content is used for training, research, or generation. 🔑 What You’ll Learn in This Episode ✅ The six publishing waves Julie has lived through, and why eBooks changed the ecosystem✅ Why AI imitation and piracy hit bestsellers first, and how that changes incentives ✅ What “AI rights” includes beyond training, including research and generative use ✅ How ISCC-based fingerprinting can prove provenance without sharing the full book ✅ Why paywalls and licensing are reshaping what high-quality data is available to models ✅ A practical way to think about “original vs. derivative” in an AI-assisted world🔗 Resources & Links 🤝 Connect with Julie on LinkedIn: https://www.linkedin.com/in/julietrelstad 🌐 Julie’s work at Paperbacks & Pixels: https://paperbacksandpixels.com/ 🧩 Amlet.ai (AI content registry): https://amlet.ai/ 📚 StreetLib (distribution + registration path mentioned in the episode): https://www.streetlib.com/ 📩 Subscribe to the Artificial Insights newsletter for key takeaways: https://manary.haus/podcast/#haus 👉 Have a guest in mind? Reach out to Daniel at daniel@manary.haus💬 Know a product leader or publisher trying to source high-quality data responsibly? Send them this episode.

    39 min
  6. Are You Holding Onto a Job AI Should Have? w/ Dave Boyce, Executive Chair @ Winning By Design

    JAN 30

    Are You Holding Onto a Job AI Should Have? w/ Dave Boyce, Executive Chair @ Winning By Design

    When AI threatens your job, the real risk is clinging to the parts of work that are already predictable. In this bonus short, Daniel Manary and Dave Boyce (Winning by Design, author of Freemium) talk about the fear many people feel right now: AI is coming for my job. Dave argues that AI doesn't replace you as a human unless you keep trying to do work AI should handle. The path forward is to automate what is routine, and double down on the human work: alignment, confidence, strategy, and helping people navigate uncertainty. 🎧 Want the bigger picture? In the full episode, Dave breaks down what actually separates successful AI experiments from the 90% that stall out. He explains why measurement matters, why most companies need a clear “theory of the case,” and how AI-native go-to-market motions are rewriting the speed limits for growth. Listen to the full episode: https://rss.com/podcasts/manaryhaus/2481331/ 🔗 Resources & Links 🤝 Connect with Dave on LinkedIn: https://www.linkedin.com/in/boycedave 📩 Subscribe to the Artificial Insights newsletter for key takeaways: https://artificialinsights.manary.haus👉 Have a guest in mind? Reach out to Daniel at daniel@manary.haus 💬 If your team is wrestling with job impact, workflow redesign, or where humans still add leverage, share this clip with a leader who needs language for the conversation.

    3 min
  7. From Experiments to ROI: Measuring AI Inside Real Go-To-Market Systems w/ Dave Boyce, Executive Chair @ Winning By Design

    JAN 23

    From Experiments to ROI: Measuring AI Inside Real Go-To-Market Systems w/ Dave Boyce, Executive Chair @ Winning By Design

    "Run experiments" is easy advice. Measuring them inside a real customer journey is the hard part. Dave Boyce has lived through multiple SaaS eras, from $1.2M ACV enterprise deals to $1,200 self-serve motions. Now, as Product lead and Executive Chair at Winning by Design, he works with growth-stage companies to rebuild their revenue systems for an AI-shaped market. In this conversation, Daniel and Dave get concrete about what “AI-forward GTM” actually requires: a clear theory of the case, a real data model for the whole customer lifecycle (the bow tie), and an operating model that can survive handoffs between humans and agents. Dave also shares what he has learned from launching AI agents in the wild, including why measurement is the difference between “experiments” and vibes. 🔑 What You’ll Learn in This Episode ✅ Why most AI projects fail to show ROI when they launch as point solutions inside un-architected systems✅ How the “bow tie” model reframes GTM around renewal, expansion, advocacy, and growth loops✅ What it takes to encode customer context for clean handoffs (SPICED: Situation, Pain, Impact, Critical Event, Decision)✅ How AI-native companies use self-serve + real-time data to grow faster than rep-led machines✅ A practical way to think about job anxiety: automate the predictable, protect the human work that stays exceptional🔗 Resources & Links 🤝 Dave Boyce on LinkedIn: https://www.linkedin.com/in/boycedave🏢 Winning by Design: https://winningbydesign.com/📓 The Growth Journal (Winning by Design): https://winningbydesign.com/growth-journal/📘 Freemium (Stanford University Press): https://www.sup.org/books/freemium📩 Subscribe to the Artificial Insights newsletter for key takeaways: https://manary.haus/podcast/#haus👉 Have a guest in mind? Reach out to Daniel at daniel@manary.haus💬 Know a founder or revenue leader trying to retrofit AI into an existing GTM machine? Send them this episode. It will give them better questions to ask before they ship another “agent.”

    35 min
  8. Wikipedia's First Real Competitor Is an AI: What is Grokipedia? w/ Bill Beutler, Founder @ Beutler Ink & TheNotability.co

    JAN 16

    Wikipedia's First Real Competitor Is an AI: What is Grokipedia? w/ Bill Beutler, Founder @ Beutler Ink & TheNotability.co

    An AI-written encyclopedia can sound coherent and still be wrong and that gap matters more than it first appears. In this bonus short, Daniel Manary and William Beutler of Beutler Ink and The Notability Company look at the first real challenger to Wikipedia's long-standing dominance. They discuss Grokipedia, Elon Musk's AI-generated encyclopedia: why its entries can feel clearer and more complete than Wikipedia, and how that polish can mask weak or missing sources. 🎧 Want the bigger picture? In the full episode, Bill explains why Wikipedia remains the shared reference point for major AI systems, how citations shape model behavior, and why neutrality matters more in an AI-mediated web. Listen to the full episode: https://rss.com/podcasts/manaryhaus/2451988 🔗 Resources & Links 🤝 Connect with Bill on LinkedIn: https://www.linkedin.com/in/billbeutler/📩 Subscribe to the Artificial Insights newsletter for key takeaways: https://manary.haus/podcast/#haus👉 Have a guest in mind? Reach out to Daniel at daniel@manary.haus💬 Thinking about trust, sourcing, or shared knowledge in AI systems? Share this clip with someone building in that space.

    8 min
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Candid conversations and real-world stories about how AI is changing work, life, and us. Every other Friday, host Daniel Manary talks with CEOs, CTOs, CAIOs, product managers, researchers, and founders about bringing AI ideas to market, separating hype from lasting impact. He explores the How's, What's, and Why's of Artificial Intelligence and digs into how this technology is changing the landscape of modern work and life, and more importantly, us.

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