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The Good AI Podcast (GAP)

The Good AI Podcast (GAP)

Auteur(s): Jonathan Gudai
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The Good AI Podcast (GAP) is where artificial intelligence in media planning and buying meets practical application. Hosted by Jonathan Gudai, CEO of AdOmni and Board Member of DPAA, each episode focuses on how real teams are using AI to solve real problems in marketing, media and creative work. Actionable conversations help listeners close the GAP between understanding AI and applying it. The show brings together builders, operators and innovators who share the tools, workflows and lessons that move ideas into the real world. Brought to you in partnership with the DPAA.Jonathan Gudai Marketing Marketing et ventes Réussite personnelle Économie
Épisodes
  • Episode 001: From AI Hype to AI Help
    Nov 21 2025

    In the premiere episode of The Good AI Podcast (GAP), host Jonathan Gudai sets the foundation for what this show is all about: practical, no-nonsense ways to use AI that immediately make your work, and your life, better.

    Jonathan breaks down three essential lessons you can start applying the moment the episode ends:

    1. Why Context is Queen

    Explore one of the biggest paradoxes in AI communication: humans want short and sweet, but AI performs best when fed rich, detailed context. Jonathan shows you how to give AI the information it needs so you get concise, accurate, high-quality results back.

    2. The Anatomy of a Good Prompt

    Learn the six layers that turn an average prompt into a powerful one. Through a side-by-side comparison—“bad” prompt vs. “good” prompt—you’ll see exactly how context transforms messy outputs into polished, client-ready work.

    3. Use Case Deep Dive: Better Meetings with AI

    Jonathan walks through a full meeting-optimization workflow using ChatGPT, Gemini, Claude, and Read AI.

    From pre-meeting research and agenda building to live transcription, recap generation, and context-rich follow-up emails, you’ll see how AI can turn every meeting into a true value-creation engine.

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    37 min
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