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Generative AI 101

Emily Laird
Generative AI 101
Dernier épisode

354 épisodes

  • Generative AI 101

    Improve Your AI Written Emails

    27/10/2026 | 9 min
    Polished emails are making managers less believable: when bosses let AI do most of the writing, the share of employees who rate them as sincere falls from 83% to as low as 40. Host Emily Laird explains why light editing costs almost nothing while AI-written feedback, persuasion, and sympathy quietly burn trust. She covers how to brief a chatbot instead of handing it a shrug, the “excess vocabulary” tells that give machine prose away, and practical fixes that keep your own voice in the inbox. Keep the tool, but know exactly where it costs you.
     

    🎯 JOIN THE AI WEEKLY MEETUPS

    https://www.uwstout.edu/ai-weekly-meetup

     

    📩 EMAIL REMINDERS FOR THE MEETUPS

    https://app.e2ma.net/app2/audience/signup/2101263/1779703/

     

    💬 CONNECT WITH EMILY LAIRD ON LINKEDIN
  • Generative AI 101

    From Messy Notes to Useful Work

    26/10/2026 | 9 min
    Your AI meeting recap looks finished, but some of the owners and deadlines in it may be invented. In this episode, host Emily Laird argues that the real work happens in the forty minutes after the meeting, and that “summarize this” is the wrong request. She lays out a better system: extract the same seven fields every time, make the model write “not stated” instead of guessing, and ground every action item in the exact transcript line that supports it.
     

    🎯 JOIN THE AI WEEKLY MEETUPS

    https://www.uwstout.edu/ai-weekly-meetup

     

    📩 EMAIL REMINDERS FOR THE MEETUPS

    https://app.e2ma.net/app2/audience/signup/2101263/1779703/

     

    💬 CONNECT WITH EMILY LAIRD ON LINKEDIN

    http://www.linkedin.com/in/meet-emily-laird
  • Generative AI 101

    How to Make AI Actually Read Your Documents

    21/10/2026 | 12 min
    A 130-page report lands in your inbox with a buried deadline, a half-million-dollar commitment, and one sentence that quietly rewrites policy, and your AI summary mentions none of it. In this episode, host Emily Laird explains why asking AI to make documents shorter is the wrong assignment, and how to interrogate them instead: commitment tables, version comparisons, skeptical-evaluator prompts, and the hunt for what isn’t there. She also breaks down evidence grounding and why no important claim should leave the chat without a page number attached. Confident, beautifully formatted, and occasionally wrong is not the standard you want to bring into a budget meeting.
     

    🎯 JOIN THE AI WEEKLY MEETUPS

    https://www.uwstout.edu/ai-weekly-meetup

     

    📩 EMAIL REMINDERS FOR THE MEETUPS

    https://app.e2ma.net/app2/audience/signup/2101263/1779703/

     

    💬 CONNECT WITH EMILY LAIRD ON LINKEDIN

    http://www.linkedin.com/in/meet-emily-laird
  • Generative AI 101

    Please Be Kind to Claude

    20/10/2026 | 11 min
    Anthropic now lets Claude hang up on abusive users, and Microsoft AI chief Mustafa Suleyman warns that training a model to wonder about its own feelings creates nothing more than an expensive echo. In this episode, host Emily Laird cuts through the headlines to explain what a “moral patient” actually is, why a cartoon sheep selling checking accounts proves Suleyman’s point, and why the off switch was never up for debate. The real fight is about vocabulary, training, and two companies planting brand flags on a question science hasn’t answered. You’ll walk away with practical habits for working with chatbots, from swapping insults for precise feedback to reading every AI self-report as output, not testimony.
     

    🎯 JOIN THE AI WEEKLY MEETUPS

    https://www.uwstout.edu/ai-weekly-meetup

     

    📩 EMAIL REMINDERS FOR THE MEETUPS

    https://app.e2ma.net/app2/audience/signup/2101263/1779703/

     

    💬 CONNECT WITH EMILY LAIRD ON LINKEDIN

    http://www.linkedin.com/in/meet-emily-laird
  • Generative AI 101

    One Workspace to Rule Them All

    19/10/2026 | 15 min
    If you are still explaining your job, your project, and your audience to AI every time you open a new chat, host Emily Laird has one question: why? This episode makes the case for AI workspaces (ChatGPT Projects, Claude Projects, Copilot Notebooks) where your files, standards, and past decisions live permanently, so your prompts can describe today’s task instead of rebuilding the entire universe around it. Expect practical advice on curating files, keeping a “Current State” document, and moving important conclusions out of chats, plus a plain-English take on RAG. There is also a catch: persistent context can make AI inherit your assumptions, so knowing when to start fresh matters just as much.
     

    🎯 JOIN THE AI WEEKLY MEETUPS

    https://www.uwstout.edu/ai-weekly-meetup

     

    📩 EMAIL REMINDERS FOR THE MEETUPS

    https://app.e2ma.net/app2/audience/signup/2101263/1779703/

     

    💬 CONNECT WITH EMILY LAIRD ON LINKEDIN

    http://www.linkedin.com/in/meet-emily-laird
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À propos de Generative AI 101
Welcome to Generative AI 101, your go-to podcast for learning the basics of generative artificial intelligence in easy-to-understand, bite-sized episodes. Join host Emily Laird, AI Integration Technologist and AI lecturer, to explore key concepts, applications, and ethical considerations, making AI accessible for everyone.
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