Artificial Insights: Conversations About AI

<p>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.</p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/sharmeen-aqeel/">Sharmeen Aqeel</a> is the founder and CEO of <a target="_blank" rel="noopener noreferrer nofollow" href="https://lyyvora.com">Lyyvora</a>, 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.</p><p>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.</p><p><strong>🔑 What You’ll Learn in This Episode</strong></p><ul><li>✅ Why “lenders want to lend” can be true while the process still feels impossible for clinics</li><li>✅ How human-centered design makes lending workflows legible without changing the underlying rules</li><li>✅ Where AI helps with readiness, matching, and speed, and where humans stay in the loop for trust</li><li>✅ What a lending marketplace changes for transparency and competition among lenders</li><li>✅ Why building the lender side of a two-sided network can be easier than reaching borrowers</li><li>✅ How a solo founder can accomplish what used to require a team with the help of AI</li><li>✅ How some things you do as a solo founder should never be delegated to AI</li></ul><p><strong>🔗 Resources &amp; Links</strong></p><ul><li>🤝 Connect with Sharmeen on LinkedIn: <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/sharmeen-aqeel/">https://www.linkedin.com/in/sharmeen-aqeel/</a></li><li>🌐 Lyyvora: <a target="_blank" rel="noopener noreferrer nofollow" href="https://lyyvora.com">https://lyyvora.com</a></li><li>🏢 Lyyvora on LinkedIn: <a target="_blank" rel="noopener noreferrer nofollow" href="https://ca.linkedin.com/company/lyyvora">https://ca.linkedin.com/company/lyyvora</a></li><li>📩 Subscribe to the Artificial Insights newsletter for key takeaways: <a target="_blank" rel="noopener noreferrer nofollow" href="https://manary.haus/podcast/#haus">https://manary.haus/podcast/#haus</a></li><li>👉 Have a guest in mind? Reach out to Daniel at <a target="_blank" rel="noopener noreferrer nofollow" href="mailto:[email protected]">[email protected]</a></li></ul><p><strong>💬 Know someone working on AI in financial services or marketplaces? </strong>Share this episode with them.</p>

<p>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.</p><p>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.</p><p><strong>🎧 Want the bigger picture?</strong></p><p>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.</p><p>Check out the full episode here: <a target="_blank" rel="noopener noreferrer nofollow" href="https://rss.com/podcasts/manaryhaus/2525377/">https://rss.com/podcasts/manaryhaus/2525377/</a></p><p><strong>🔗 Resources &amp; Links </strong></p><ul><li>🌐 Julie’s work at Paperbacks &amp; Pixels: <a target="_blank" rel="noopener noreferrer nofollow" href="https://paperbacksandpixels.com/">https://paperbacksandpixels.com/</a> </li><li>🧩 Amlet (register and license AI rights): <a target="_blank" rel="noopener noreferrer nofollow" href="https://amlet.ai/">https://amlet.ai/</a> </li><li>📩 Subscribe to the Artificial Insights newsletter for key takeaways: <a target="_blank" rel="noopener noreferrer nofollow" href="https://manary.haus/podcast/#haus">https://manary.haus/podcast/#haus</a> </li><li>👉 Have a guest in mind? Reach out to Daniel at <a target="_blank" rel="noopener noreferrer nofollow" href="mailto:[email protected]">[email protected]</a></li></ul><p>🚀 <strong>This episode spark an idea? </strong>Share it with someone building with domain data.</p>

<p>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.</p><p>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.</p><p>Julie is Head of US Publishing at <a target="_blank" rel="noopener noreferrer nofollow" href="https://amlet.ai">Amlet.ai</a> and runs <a target="_blank" rel="noopener noreferrer nofollow" href="https://paperbacksandpixels.com/">Paperbacks &amp; Pixels</a>. 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.</p><p>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.</p><p><strong>🔑 What You’ll Learn in This Episode</strong></p><ul><li>✅ The six publishing waves Julie has lived through, and why eBooks changed the ecosystem</li><li>✅ Why AI imitation and piracy hit bestsellers first, and how that changes incentives </li><li>✅ What “AI rights” includes beyond training, including research and generative use </li><li>✅ How ISCC-based fingerprinting can prove provenance without sharing the full book </li><li>✅ Why paywalls and licensing are reshaping what high-quality data is available to models </li><li>✅ A practical way to think about “original vs. derivative” in an AI-assisted world</li></ul><p><strong>🔗 Resources &amp; Links</strong></p><ul><li>🤝 Connect with Julie on LinkedIn: <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/julietrelstad">https://www.linkedin.com/in/julietrelstad</a> </li><li>🌐 Julie’s work at Paperbacks &amp; Pixels: <a target="_blank" rel="noopener noreferrer nofollow" href="https://paperbacksandpixels.com/">https://paperbacksandpixels.com/</a> </li><li>🧩 <a target="_blank" rel="noopener noreferrer nofollow" href="http://Amlet.ai">Amlet.ai</a> (AI content registry): <a target="_blank" rel="noopener noreferrer nofollow" href="https://amlet.ai/">https://amlet.ai/</a> </li><li>📚 StreetLib (distribution + registration path mentioned in the episode): <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.streetlib.com/">https://www.streetlib.com/</a> </li><li>📩 Subscribe to the Artificial Insights newsletter for key takeaways: <a target="_blank" rel="noopener noreferrer nofollow" href="https://manary.haus/podcast/#haus">https://manary.haus/podcast/#haus</a> </li><li>👉 Have a guest in mind? Reach out to Daniel at <a target="_blank" rel="noopener noreferrer nofollow" href="mailto:[email protected]">[email protected]</a></li></ul><p>💬 <strong>Know a product leader or publisher trying to source high-quality data responsibly?</strong> Send them this episode.</p>

<p>When AI threatens your job, the real risk is clinging to the parts of work that are already predictable.</p><p>In this bonus short, Daniel Manary and Dave Boyce (Winning by Design, author of <em>Freemium</em>) 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.</p><p><strong>🎧 Want the bigger picture?</strong></p><p>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.</p><p>Listen to the full episode: <a target="_blank" rel="noopener noreferrer nofollow" href="https://rss.com/podcasts/manaryhaus/2481331/">https://rss.com/podcasts/manaryhaus/2481331/</a></p><p><strong>🔗 Resources &amp; Links</strong></p><ul><li>🤝 Connect with Dave on LinkedIn: <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/boycedave">https://www.linkedin.com/in/boycedave</a> </li><li>📩 Subscribe to the Artificial Insights newsletter for key takeaways: <a target="_blank" rel="noopener noreferrer nofollow" href="https://artificialinsights.manary.haus">https://artificialinsights.manary.haus</a></li><li>👉 Have a guest in mind? Reach out to Daniel at <a target="_blank" rel="noopener noreferrer nofollow" href="mailto:[email protected]">[email protected]</a> </li></ul><p>💬 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.</p>

<p>"Run experiments" is easy advice. Measuring them inside a real customer journey is the hard part.</p><p>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.</p><p>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.</p><p>Dave also shares what he has learned from launching AI agents in the wild, including why measurement is the difference between “experiments” and vibes.</p><p><strong>🔑 What You’ll Learn in This Episode</strong></p><ul><li>✅ Why most AI projects fail to show ROI when they launch as point solutions inside un-architected systems</li><li>✅ How the “bow tie” model reframes GTM around renewal, expansion, advocacy, and growth loops</li><li>✅ What it takes to encode customer context for clean handoffs (SPICED: Situation, Pain, Impact, Critical Event, Decision)</li><li>✅ How AI-native companies use self-serve + real-time data to grow faster than rep-led machines</li><li>✅ A practical way to think about job anxiety: automate the predictable, protect the human work that stays exceptional</li></ul><p><strong>🔗 Resources &amp; Links</strong></p><ul><li>🤝 Dave Boyce on LinkedIn: <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/boycedave">https://www.linkedin.com/in/boycedave</a></li><li>🏢 Winning by Design: <a target="_blank" rel="noopener noreferrer nofollow" href="https://winningbydesign.com/">https://winningbydesign.com/</a></li><li>📓 The Growth Journal (Winning by Design): <a target="_blank" rel="noopener noreferrer nofollow" href="https://winningbydesign.com/growth-journal/">https://winningbydesign.com/growth-journal/</a></li><li>📘 Freemium (Stanford University Press): <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.sup.org/books/freemium">https://www.sup.org/books/freemium</a></li><li>📩 Subscribe to the Artificial Insights newsletter for key takeaways: <a target="_blank" rel="noopener noreferrer nofollow" href="https://manary.haus/podcast/#haus">https://manary.haus/podcast/#haus</a></li><li>👉 Have a guest in mind? Reach out to Daniel at <a target="_blank" rel="noopener noreferrer nofollow" href="mailto:[email protected]">[email protected]</a></li></ul><p><strong>💬 Know a founder or revenue leader trying to retrofit AI into an existing GTM machine?</strong> Send them this episode. It will give them better questions to ask before they ship another “agent.”</p>