Let’s be honest: no one’s thrilled when they’re handed a 37-slide deck or an interactive PDF as a follow-up to a virtual session. Even the term “workbook” feels a bit dusty these days.
But the need hasn’t gone away — people still want something to revisit, to recap, to remind. The real issue? Our formats haven’t evolved with the way people consume content. That’s where Google’s NotebookLM steps in — and in Season 3 Episode 2 of AI for the Average Joe, Hayley and Erica show you exactly how.
There’s long been this idea in L&D that the best follow-up to a live session is the full recording. And in theory, it’s not wrong. It captures tone, context, nuance. But in practice? Who has the time to scrub through two hours to find the one golden nugget?
As Hayley points out, even learners who love a session often ask: “Can you just send me the key points?” That’s the gap NotebookLM fills — it transforms long-form, complex content into digestible, audio-based summaries that feel more like a mini podcast than a lecture replay.
Google’s NotebookLM is a generative AI tool that uses large language models to analyse and synthesize content — whether that’s a Zoom session, a policy doc, or a full-blown technical guide. It creates structured, conversational summaries presented as short audio files, complete with realistic voices and natural flow.
Think: custom 15-minute podcast episodes created from your documents, slide decks, or videos. No scriptwriting. No microphones. Just AI pulling together the good stuff.
The team outlines some genuinely smart ways to use this in the real world:
And yes, Erica even made one as a surprise “boyfriend appreciation podcast.” Don’t underestimate the morale boost of hearing your strengths narrated in a podcast voice!
You don’t need coding skills. You don’t need to understand Python. You just need a few good resources and a clear goal.
Here’s how it works:
The voices are natural, the tone is professional-yet-friendly, and it all feels more like a conversation than an AI reading a script.
People are craving relevance. They’re drowning in content and starving for clarity.
And here’s the thing L&D often misses: it’s not just about the quality of the training; it’s about how usable the follow-up is. If learners don’t revisit your content, they don’t retain it. If they don’t retain it, it never impacts performance.
NotebookLM offers a solution that:
It’s the bridge between deep training and accessible reinforcement.
The episode doesn’t shy away from responsible AI use either. Erica and Hayley make it clear: don’t upload anything sensitive, proprietary, or confidential. The usual rules apply. This is a tool, not a shortcut to bypass good governance.
Quality control still matters. It’s not about dumping everything into the machine and walking away. You still need to review what comes out, make sure it lands the way you want, and keep your learners front of mind.
Hayley shares a great use case — she fed in a recording from a mental toughness virtual classroom session delivered two years ago. In minutes, NotebookLM generated a 15-minute podcast version that pulled out the metaphors, frameworks, and learning points without skipping a beat.
That’s powerful. Most of us sit on a goldmine of recorded sessions, PDFs, and resources that just gather dust. This tech gives that content a second (and far more accessible) life.
If you’re in L&D and you’re still handing out PDFs or hoping people watch full replays, it’s time to evolve. Google NotebookLM isn’t the future — it’s the now.
As Erica puts it: “It just feels like a no-brainer.”
So ditch the workbook. Retire the PDF. And give your learners the smart, simple experience they didn’t even know they needed.
And if you need dedicated support in adopting Gen AI across your organisation and other tools like Google NotebookLM, then get in touch.
(Blogpost created in collaboration with ChatGPT4o.)
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