『(Super)charged by AI』のカバーアート

(Super)charged by AI

(Super)charged by AI

著者: AI Portland
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This isn't just another tech talk; it's a bridge connecting curious minds to the innovators, dreamers, and doers who are shaping the future of AI. In each episode, we'll dive deep with those at the forefront of AI work, from the thinkers to the tinkerers, to understand not just what's new but what's truly making a difference. This is your all-access pass to the conversations that matter, offering insights, inspiring stories, and a bit of fun along the way. Whether you're an AI aficionado or simply AI-curious, we're here to connect, learn, and explore together.AI Portland
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  • Living in the Messy Middle + Hype fatigue + What is an Agent again?
    2025/11/20

    If you’ve been feeling a little gaslit by your AI tools lately—one minute brilliant, the next minute chaos—you’re not alone. In this episode, Megan and Nicole sit down with longtime friend-of-AI-Portland Nicolle Merrill to talk about the real state of AI in late 2025: the mandates, the messiness, the disillusionment, and why everyone secretly wishes AI would just manage their calendar already.

    Nicolle’s been in the conversational AI world since before generative AI was cool, and she brings the kind of clarity that only comes from talking to hundreds of teams who are all trying to navigate the same fog.


    Along the way:

    🌀 Why “AI-first” mandates are breaking middle managers

    🧹 What “AI workplace slop” is—and how to avoid producing it

    🔍 The skills people _actually_ need before anyone starts talking about agents

    🧩 Why “no-code” tools are still… code

    📉 And why disillusionment might be the breath of fresh air we all needed


    Plus: The agent hype cycle and Nicolle’s case for starting small, asking better questions, and treating AI like the messy coworker it currently is, not the magical productivity elf the marketing pages promise.


    Related Links:

    - Boring AI

    - Nicolle Merrill on LinkedIn


    Chapters

    00:00 – Baby carrots and near-anniversaries

    01:16 – Who is Nicolle Merrill?

    03:35 – The messy middle of organizational AI

    07:41 – Mandates, pressure, and the illusion of expertise

    11:49 – Disillusionment as a feature, not a bug

    20:49 – Agents: what they are vs. what the marketing says

    27:25 – AI literacy, data fluency, and responsible use

    36:57 – Social norms, transparency, and the “workplace slop” era

    43:43 – The chaos machine and the shiny-object spiral

    47:19 – What we’re curious about heading into 2026

    51:24 – How small teams can actually get started

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    53 分
  • Real-World AI: Trail Blazers Innovation + A Deep Dive Into MCP
    2025/11/17
    If you ever hear someone yell “WHAT SUCKS ABOUT YOUR JOB?” at a meetup, there’s a good chance it’s us.In this episode, Megan and Nicole finally sit down after a long podcast break to debrief two big AI Portland events: an October session with David Long, VP of Digital and Innovation for the Portland Trail Blazers, and a very nerdy, very packed November deep dive into MCP (Model Context Protocol). Along the way, there’s a birthday, some early-morning chaos, and a few strong opinions about agents, hype, and where AI very much does not belong.They dig into how the Blazers are actually using AI (and when they deliberately don’t), why “what sucks about your job?” is a surprisingly powerful innovation question, and what MCP really is for the non-engineers in the back. Then they recap live demos from DevSwarm, shout out Radek from Keboola for the emergency hero fill-in, and talk about why good engineering fundamentals matter more than ever when you give the robots access to your codebase.Along the way: 🏀 How the Portland Trail Blazers are using AI to solve real problems, not invented ones 🧠 The Einstellung effect and why “this is just how we do it” is killing innovation 🛠️ MCP 101: what it is, why it matters, and why even non-devs were taking notes 🧩 DevSwarm’s demos: from Confluence specs to JIRA tickets to Figma-to-code flows 📏 Why human-in-the-loop, architecture, style guides, and documentation matter _more_ with AI, not less Plus: Stacklok’s token-saving magic for MCP integrations, the never-ending trough of disillusionment, and why 2025 still feels like “the year of trying to actually get productive with AI.”Related links:Einstellung EffectMegan's ProFocus AI 2025 predictionNicole's ProFocus AI 2025 predictionSpecial thanks to our speakers:David LongRadek TomasekMike BiglanTrevor DilleyAnd to our event sponsors:Apify Stacklok | Token optimization tool KeboolaAC HotelSpork Bytes Chapters00:00 Introduction and Personal Reflections02:50 AI Portland October Event Recap04:02 Innovation in Organizations10:54 AI Portland November Event Recap (MCP)21:23 Closing Thoughts and Future Directions25:48 Stacklok Token Optimization
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    28 分
  • Sandwich Math Is Hard + AI for Good + Small Groups, Big Impact
    2025/06/16

    We had too many sandwiches. We had too few proper nights of sleep. But we had just the right amount of AI Portland energy.

    In this episode, Megan and Nicole debrief a jam-packed week featuring AI Launchpad Northwest and AI Portland's AI for Public Good meet up. They cover the chaos and success of organizing their first definitely-not-a-conference, from small group Q&As with local experts to the very real challenge of predicting catering.

    They also dig into highlights from speakers Jordan Plawner, Cassie Scyphers, and Dr. Richard Bruno - each bringing a different but equally powerful take on what responsible AI looks like in 2025.


    Along the way:

    🥪 How AI Launchpad nearly became the Sandwich Crisis of 2025

    🧠 Why Jordan says you only need to be three days ahead of your team

    🚑 The life-saving power of AI in public health


    Plus: Big shoutouts to our sponsors (thank you forever), a wrap hangover, live music teasers, and the exact moment Megan realized she’d made it through the week: holding an ice cream cone at the end of a long week.

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    24 分
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