Artificial Insights: How To Do AI Right

Daniel Manary

Candid conversations and real-world stories about building AI into products and businesses. Made for executives, founders, and product leaders who want to do AI right... from strategy to launch to scale. Each 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. Guests share how they’ve worked with complex, messy data, built trust into automation, and launched AI-powered products customers rely on. Whether you’re starting a new AI initiative or scaling an existing product, you’ll hear insightful, hype-free lessons you can apply to your own business.

  1. Short: What is Personalization in an Agentic AI World? w/ Alex Maier, President @ onWater

    1D AGO

    Short: What is Personalization in an Agentic AI World? w/ Alex Maier, President @ onWater

    Most AI conversations describe personalization as if it were new. In this bonus clip, Alex Maier explains why the real shift is not personalization itself, but how agentic systems read context and respond to a person's actual state the moment they ask a question. Alex describes how onWater uses prompts, sentiment, language patterns, and user actions to understand experience level and intent. He compares it to the way great salespeople have always read a person's posture, tone, and energy to meet them where they are. The technology is new. The underlying posture toward users is not. 🎧 Want the bigger picture? This clip expands on one of the central ideas of the full episode: what it takes to design AI native systems that guide people safely, respectfully, and intelligently through complex real-world decisions. In the main conversation, Alex walks through how onWater stitches together conditions, regulations, maps, and community insight, and how his team builds guardrails for activities where bad information carries real risk. Listen to the full episode here: https://rss.com/podcasts/manaryhaus/2328700/ 🔗 Resources & Links 🤝 Connect with Alex on LinkedIn: https://www.linkedin.com/in/alexmaier2🌊 Explore onWater Fish and Paddle: https://www.onwaterapp.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🚀 Share this clip with someone thinking about AI, context, and what meeting users "where they are" actually requires.

    4 min
  2. Building AI Native Products for the Outdoors w/ Alex Maier, President @ onWater

    NOV 14

    Building AI Native Products for the Outdoors w/ Alex Maier, President @ onWater

    Most companies stop at “ask the bot a question”. onWater wants to go further, building an app that can answer “Should I go today?” and then quietly handle everything that comes after yes. In this episode of Artificial Insights, Daniel talks with Alex Maier, now President of onWater. His team has been working on a simple idea with complicated stakes: help people decide where to fish or paddle, understand the real conditions on the water, and act on that information without forcing users to dig through dozens of screens or data sources. Alex explains how they approached AI native design, how they stitched fragmented environmental data into a single system, and what it took to add features that can safely guide beginners while still giving experts real depth. He also shares how onWater is using computer vision to turn fish photos into useful science and why personalization in an AI age still comes back to knowing what a person is actually trying to do. 🔑 What You’ll Learn in This Episode ✅ How Alex distinguishes AI assisted from AI native, and why that shift changes product design✅ Why clean, structured water data creates a defensible moat when everyone has the same models✅ How onWater estimates fish length and weight from photos and feeds that data into TroutSpotter✅ Where safety guardrails matter when AI outputs could influence on-water decisions✅ Why curiosity and skepticism both matter when experimenting with new AI tools🔗 Resources & Links 🤝 Connect with Alex on LinkedIn: https://www.linkedin.com/in/alexmaier2🌊 Explore onWater Fish and Paddle: https://www.onwaterapp.com🐟 Learn about TroutSpotter community science: https://www.onwaterapp.com/features/troutspotter🧬 Wild Me, the conservation AI nonprofit behind Wildbook and TroutSpotter: https://www.wildme.org📩 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 building AI in high-risk, real-world environments? Share this episode with them so they can hear how onWater is approaching safety, data, and product design in the wild.

    39 min
  3. Designing for Accessibility: How AI Lowers the Skill Floor w/ Ahmad Iqbal, AI Product & Head of MENAP @ Canva

    OCT 31

    Designing for Accessibility: How AI Lowers the Skill Floor w/ Ahmad Iqbal, AI Product & Head of MENAP @ Canva

    What if "designing well" no longer requires years of training, and the real work becomes choosing the story to tell? In this episode of Artificial Insights, host Daniel Manary interviews Ahmad Iqbal, product lead and Head of MENAP at Canva, about what it really means to design for accessibility in the age of AI. Ahmad helped launch Canva’s first generative AI features and shares how the company's guiding principle, making creativity accessible to everyone, drives its product, culture, and internal AI adoption. The conversation traces how a 48-hour hackathon project became Magic Write, how Ahmad approached AI as a non-technical product manager, and why the best ideas at Canva don’t ship if they’re not simple enough for anyone to understand. The episode closes with a wider reflection on how AI changes not just what we design, but who gets to create. Drawing on Marshall McLuhan’s writing, Ahmad describes a future where AI lowers the skill floor, turning consumers into producers and expanding who can participate in design and storytelling. 🔑 What You’ll Learn in This Episode ✅ Why "accessibility" is Canva’s north star for AI features✅ How a 48-hour hackathon prototype became a core product surface✅ What "truly local" means for regional expansion and product fit✅ How to encourage teams to use AI internally to unlock time for harder problems✅ Why McLuhan’s "the medium is the message" matters for AI-era design🔗 Resources & Links 🌐 Explore Canva: https://www.canva.com📖 Read about Marshall McLuhan: https://en.wikipedia.org/wiki/Marshall_McLuhan🎧 Check out the Student Specials from S3: https://rss.com/podcasts/manaryhaus/2185718/📩 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💬 Building AI into real products or localizing at scale? Share this episode with a PM or regional lead who will benefit from Ahmad’s playbook.

    34 min
  4. How AI Turned Six Months of Work into 16 Minutes w/ Josh Müller, Director @ Waha

    OCT 17

    How AI Turned Six Months of Work into 16 Minutes w/ Josh Müller, Director @ Waha

    What if a six-month production bottleneck became a 16-minute job? Josh Müller, director at tech nonprofit Waha, tells Daniel how forced alignment and smart automation turned a tedious audio-editing gauntlet into a repeatable pipeline that ships Bible study content across dozens of languages. The result is more time for actual disciple-making and less time in Audacity. They dig into privacy-first analytics in risky contexts, when to choose local models over cloud tools, and why data management is Kingdom stewardship. 🔑 What You’ll Learn in This Episode ✅ How timestamping with forced alignment collapsed months of manual audio work into minutes✅ Practical ways nonprofits can use agents and local LLMs without leaking sensitive data✅ A privacy posture that starts with “we can’t leak what we don’t have”✅ When to reach for tools like Whisper for offline transcription, and agentic coders for data chores✅ Why disciplined data stewardship unlocks future AI use while protecting people at risk🔗 Resources & Links 🤝 Connect with Josh on LinkedIn: https://www.linkedin.com/in/thejoshmuller/🌐 Explore Waha: https://waha.app/🌐 Josh’s site: https://joshmuller.ca/📚 Meta’s Massively Multilingual Speech (forced alignment): https://ai.meta.com/blog/multilingual-model-speech-recognition/💻 OpenAI Whisper (speech-to-text): https://github.com/openai/whisper📩 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💬 Enjoyed this one? Share it with a builder wrestling with data stewardship and real-world multilingual workflows.

    39 min
  5. Embodied AGI: Reimagining AI Through Robotics w/ Adeel Zaman, Founder in Stealth out of HF0, previously CTO & Co-Founder of DOZR

    OCT 3

    Embodied AGI: Reimagining AI Through Robotics w/ Adeel Zaman, Founder in Stealth out of HF0, previously CTO & Co-Founder of DOZR

    What happens when AI doesn’t just live in text and screens, but begins to reason and act in the physical world? Adeel Zaman, CTO and Co-Founder of DOZR, has spent his career moving from deep learning research to startups, scaling companies and tackling cold-start problems with machine learning. Now, backed by the HF0 residency, his focus is on "Embodied Intelligence" and how foundation models can learn physical tasks, adapt through feedback, and interact with humans in real time. In this conversation, Daniel and Adeel explore why embodied AGI may be a prerequisite for true general intelligence, how voice interaction could change human-machine collaboration, and what it means to give individuals, not just big labs, the ability to teach and shape their own AI models. 🔑 What You'll Learn in This Episode ✅ Why embodied intelligence could be a prerequisite for reliable long-horizon agents and true "AGI"✅ How real-time "reasoning out loud" can change human-robot collaboration on job sites✅ Why reinforcement learning from language feedback is key when rewards aren't cleanly verifiable✅ The case for individually owned AIs vs. globally shared weights🔗 Resources & Links 📄 Google DeepMind’s RT-2 research overview: https://robotics-transformer2.github.io🤝 Connect with Adeel on LinkedIn: https://www.linkedin.com/in/adeelzam/📩 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💬 Inspired by the idea of embodied AI? Share this episode with someone else who would be interested in the conversation!

    37 min

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About

Candid conversations and real-world stories about building AI into products and businesses. Made for executives, founders, and product leaders who want to do AI right... from strategy to launch to scale. Each 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. Guests share how they’ve worked with complex, messy data, built trust into automation, and launched AI-powered products customers rely on. Whether you’re starting a new AI initiative or scaling an existing product, you’ll hear insightful, hype-free lessons you can apply to your own business.

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