So, here’s something that blew my mind: I decided to test Google’s NotebookLM AI tool. I casually uploaded the URLs for my LinkedIn page and my blog, not expecting much more than a basic summary. After about 3–4 minutes of AI whirring away, I had…a podcast in the form of a WAV file.

Curious, I clicked play, and what I heard was incredible. Two AI voices (that sounded eerily human) were having a full-on conversation about me! They dove into my blog, discussed a few posts in surprising detail, and even brought up one of my patents. Now, here’s the kicker: the patents are only listed on my LinkedIn profile. So, in those few minutes, the AI not only found them but also looked them up, read through them and summarized one—all within the few minutes it took the AI to create the podcast!

I couldn’t help but think, “Wow, did this thing just casually do a week’s worth of research in minutes?” The voices didn’t sound like your typical robotic narrators either—they felt like real co-hosts chatting about my work and personal brand. Talk about efficiency!

This experience really made me reflect on how fast AI is evolving. Tools like this are moving way beyond simple automation, becoming more sophisticated in understanding and summarizing complex content. It’s a bit like having an overachieving intern who doesn’t need sleep, caffeine, or bathroom breaks—and who actually reads what you send them. Impressive, right?

So, yeah, the future’s looking pretty cool if you ask me. Next up: convincing the AI to write my next blog post…or maybe even interview me for real. ;)

Please note that the podcast contains some inaccuracies, such as incorrectly identifying Merryl Goldberg as a code breaker, when in fact, she was more involved in code-making. I have kept the podcast in its original, unedited form to demonstrate how effective the tool is, even without specific guidance—simply by uploading two links.