Artificial Insights: How to Build an AI Business

Daniel Manary
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Artificial Insights: How to Build an AI Business

🤖 Twice a month, join Daniel as he speaks to CTOs, CAIOs, PMs (and many more acronyms!) with diverse experiences, from working at large companies like Google to founding their own companies. 💡 AI isn’t just a buzzword or a way to make fast cash. It’s a transformative technology that will define our generation. Learn how AI is changing the future of work and business. ❓Find out: “What can AI do?”“How is work changing because of AI?”“How can we get into AI?”“What will people pay for in AI?”And especially, "What does it mean to be human in the age of AI?"

  1. 👩‍💻 Bonus Short: The Best AI Users Are Always Women with Jonathan Green

    11 JUL · BONUS

    👩‍💻 Bonus Short: The Best AI Users Are Always Women with Jonathan Green

    In this short bonus episode, Jonathan shares a surprising observation: the most effective AI users he’s met aren’t engineers, they’re highly creative women who treat AI like a friend. They give their agents names, chat with them naturally, and never get frustrated. They don’t think they’re experts, but their approach unlocks better answers and smoother collaboration. Jonathan calls it “friendship-style prompting” and it just might be the missing mindset for anyone struggling to get good results from AI.

    3 min
  2. Let the AI Ask the Questions with Jonathan Green, AI Digital Transformation Consultant

    4 JUL

    Let the AI Ask the Questions with Jonathan Green, AI Digital Transformation Consultant

    In this conversation, Jonathan shares how he designs AI agents with personalities, skill chains, and logic trees not to make them feel human, but to make them work better. His background is far from typical: after getting fired from a university job during a snowstorm, he built an online business from the ground up, moved to a tropical island with his wife and five kids, and now consults for companies trying to apply AI in real-world systems. Daniel and Jonathan talk about designing agents with roles, what most AI consultants get wrong, and how something as simple as an emoji can tell you when an agent is about to fail. Jonathan also shares his “interrogative mode” philosophy and why the most useful AI starts by asking, not answering. In this episode: Why most AI projects are solving the wrong problemHow skill trees, personalities, and logic chains improve agent performanceThe prompt structure Jonathan uses every dayWhat he’s learned from non-technical users who get better resultsWhy treating the AI like a partner (not a tool) leads to clearer thinkingResources & Links: 🔗 Jonathan on LinkedIn: https://www.linkedin.com/in/servenomaster/📖 Learn more: https://servenomaster.com/

    50 min
  3. 🏰 Bonus Short: How Can an AI Business Build a Moat?

    1 JUL · BONUS

    🏰 Bonus Short: How Can an AI Business Build a Moat?

    When talking to investors, Carlos Almeida repeatedly heard the question, "What is the moat?". In this short, he explains why AI businesses can't succeed if they only focus on what the AI is capable of. The models are already out there. Many are open source. So how do you build something defensible? Carlos points to three layers where product builders can create lasting value: Human-in-the-loop control interfacesDisambiguation of messy or conflicting dataPlatform-level extensions that handle trust, traceability, and contextThe best part? His insights come not from theory, but from building Optave, an AI copilot and autopilot designed for real-world customer support. 🔗 Resources & Links 🎧 Listen to the full episode with Carlos: https://rss.com/podcasts/manaryhaus/2082407/📩 Subscribe to the Artificial Insights newsletter: https://manary.haus/podcast/#haus🚀 Know someone designing AI tools for business? Share this episode with them!

    6 min
  4. Earning the Right to Automate with Carlos Almeida, Founder & CEO of Optave

    20 JUN

    Earning the Right to Automate with Carlos Almeida, Founder & CEO of Optave

    Many teams want AI to take over tasks, but Carlos Almeida thinks that automation comes later. Before you hand over the work, you need to understand it, control it, and measure it. Carlos is the CEO and co-founder of Optave, where they’re building AI copilots and autopilots for customer support. In this conversation, he shares why the real work isn’t in generating responses, but in building the systems around them: the guardrails, escalation triggers, and insights that make automation trustworthy. We talk about what makes AI useful in day-to-day operations, why trust and visibility are more important than speed, and how focusing on metrics and manager tooling led Optave to better outcomes than competitors chasing 90% automation. 🔑 What You’ll Learn in This Episode 📌 For AI Product Builders & Founders: ✅ Why automation only works after you’ve earned trust✅ What makes user interfaces more important than model capabilities✅ How to structure real-time feedback loops for humans and machines📌 For Business & Ops Leaders: ✅ How to spot empty AI promises (and what to ask instead)✅ Why control systems will be the next differentiator✅ How to measure AI success without hiding behind accuracy🔗 Resources & Links 🤝 Connect with Carlos on LinkedIn🤖 Learn more about Optave📩 Subscribe to the Artificial Insights newsletter for episode summaries🚀 Found the episode valuable? Share it with someone building trust into AI systems

    36 min
  5. 🪩 Bonus Short: Why the AI Revolution Feels Different

    16 JUN · BONUS

    🪩 Bonus Short: Why the AI Revolution Feels Different

    In this short, Mike Kirkup shares his experiences being on the frontlines of different tech revolutions. This AI revolution? It feels different. Why? Because everyone's working on it. Everyone's using it (or it's getting there). And it's forcing business leaders to question entire business functions and how they do things. 🔗 Resources & Links 🎧 Listen to the full interview with Mike: https://rss.com/podcasts/manaryhaus/2061508/📩 Subscribe to the Artificial Insights newsletter for new episodes and reflections: https://manary.haus/podcast/#haus🚀 Found this useful? Share it with someone who’s trying to think clearly about AI’s future.

    5 min
  6. Building Goal-Oriented AI with Mike Kirkup, Founder of Arlo, CTO of EnPowered

    6 JUN

    Building Goal-Oriented AI with Mike Kirkup, Founder of Arlo, CTO of EnPowered

    At EnPowered, Mike Kirkup ended up running the financing arm, manually collecting and validating documents... until he couldn’t take it anymore. The internal tooling he built became Arlo, a product now used by lenders to automate and augment document workflows with AI. In this episode, Daniel and Mike talk about what makes using AI different from old school automation. Yes, Arlo automates mundane tasks, but it also asks follow-up questions and flags mismatches humans miss. Mike explains how Arlo became goal-oriented rather than rules-based. That shift not only made the AI smarter, it pushed users to rethink what they were actually trying to accomplish and how they were doing it. Listen in to learn about how to truly be AI-first when designing solutions, building trust in AI despite its unpredictability, and how a simple question—“Why do you even ask for that document?”—can change how a whole industry works. 🔑 What You’ll Learn in This Episode: ✅ What it's like to demo AI that asks unpredictable questions✅ The courage it takes to give AI more room to operate✅ How AI nudges companies to reexamine outdated workflows✅ Why domain expertise is critical to building useful AI tools✅ Why you shouldn't get a PhD to break into AI🔗 Resources & Links: 🤝 Connect with Mike on LinkedIn📓 Learn more about Arlo📩 Subscribe to the Artificial Insights newsletter for summaries and takeaways🚀 Enjoyed this episode? Leave a review and share it with someone building in AI!

    42 min
  7. ⚡️ Bonus Short: What Electricity Can Teach Us About The Future of AI

    30 MAY · BONUS

    ⚡️ Bonus Short: What Electricity Can Teach Us About The Future of AI

    Why do we keep getting AI wrong? It’s not because it’s too intelligent. It’s because we’re bad at extrapolating what intelligence makes possible. In this bonus short, Daniel shares a conversation with Chyngyz Dzhumanazarov, co-founder and CEO of Kodif, who draws a striking parallel: when electricity was invented, no one predicted it would lead to television, or that actors would build careers from it. People worried about job loss in coal. They missed the entertainment industry entirely. The same thing is happening with AI. We’re focused on what it might replace, not what it might enable. 🔑 What You’ll Hear in This Episode ✅ What electricity, television, and the entertainment industry can teach us about new technologies✅ Why we overestimate disruption and underestimate emergence✅ A reminder that mystery isn’t the same as incomprehensibility🔗 Resources & Links 🎧 Listen to the full interview with Chyngyz: https://rss.com/podcasts/manaryhaus/2041601/📩 Subscribe to the Artificial Insights newsletter for new episodes and reflections: https://manary.haus/podcast/#haus 🚀 Found this useful? Share it with someone who’s trying to think clearly about AI’s future.

    4 min
  8. Empowering Non-Technical Support Teams to Manage AI with Chyngyz Dzhumanazarov, CEO @ Kodif, Stanford MBA

    23 MAY

    Empowering Non-Technical Support Teams to Manage AI with Chyngyz Dzhumanazarov, CEO @ Kodif, Stanford MBA

    Will AI make human support teams obsolete? Kodif's answer: No, but humans will be managing and teaching AI agents. Kodif is building systems where AI agents resolve tickets, write help docs, and surface insights, all under the guidance of real people. In this episode, Daniel sits down with Chyngyz Dzhumanazarov, CEO and Co-Founder of Kodif, and the first person from Kyrgyzstan to earn an MBA from Stanford. Chyngyz shares how Kodif augments instead of replaces human support, and how his non-technical perspective helped him see opportunities others overlooked. They talk about what it means to build AI-native operations, how to test for real user pain, and the shift from software that people use to tools that people teach. 🔑 What You’ll Learn in This Episode 📌 For Founders & Product Builders: ✅ Why automation only scales when local teams can shape it✅ How curiosity (and not knowing what’s “impossible”) opens up new ideas✅ What agentic AI looks like in real-world support workflows📌 For Business Leaders Adopting AI: ✅ How AI can augment (not replace) support roles✅ Why your "non-technical" team can manage AI agents✅ Why understanding process variation is key to deploying AI across markets🔗 Resources & Links 🤝 Connect with Chyngyz on LinkedIn🤖 Learn more about Kodif.ai📩 Subscribe to the Artificial Insights newsletter for summaries and takeaways🚀 Enjoyed this episode? Leave a review and share it with someone building in AI or ops!

    42 min
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🤖 Twice a month, join Daniel as he speaks to CTOs, CAIOs, PMs (and many more acronyms!) with diverse experiences, from working at large companies like Google to founding their own companies. 💡 AI isn’t just a buzzword or a way to make fast cash. It’s a transformative technology that will define our generation. Learn how AI is changing the future of work and business. ❓Find out: “What can AI do?”“How is work changing because of AI?”“How can we get into AI?”“What will people pay for in AI?”And especially, "What does it mean to be human in the age of AI?"

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