# Intentional Tools – Memory Card #29
👋🏻
Feels like it has been awhile. I hope you are all well. Against all odds on Sunday (three airplanes, two sets of sirens, and the crunch window of the all sacred nap time) I got a first run recording of the script in the bag. I cleaned up a few bits along the way. Writing always sounds different when read out loud; the same when you print it out and mark it up with a red pen.
I'm a tad worried I am too repetitive in the essay on some phrases, terms, etc. If I had more time, I'd polish these out, but given that I am already behind schedule and am eager to get this one out in the world, I do not have time to correct perceived repetition. I'll leave that to the comments section.
Next step is to clean up said audio and begin the slicing and dicing process inside Final Cut Pro. 🎬
[Last time](https://buttondown.com/MaxFrequency/archive/script-complete/), I promised to share a neat tool I used in the writing process, so let's do that.
I read a ton of interviews, specifically Iwata Asks interviews, for this essay. As I read them, I copied out quotes I liked and cited just where in the series they were found. But as I was writing the script, I'd remember examples or possible quotes that I *did not* write down. In the past, this would require me to re-read the entire series until I found what I remembered. Now with Large Language Models, it does not.
I heard about [Google's NotebookLM](https://notebooklm.google.com) on [Connected](https://www.relay.fm/connected) a while back and it sounded like the perfect solution to my problem. You can give this "notebook" 50 sources—markdown, audio, YouTube videos, and websites—and then ask the AI about all the provided sources. This made the tedious task of re-reading the interviews for the memory of a quote as simple as asking in natural language if I was even remembering correctly.
What I like about this, besides the saving of time, is that I already did the work. The information was in my head somewhere. I remembered...I just needed help finding out if I remembered correctly. And NotebookLM did help! I found both of the examples I was looking for, with direct links to which interview and where in the interview it was. 🤯 This was a force multiplier for my research and writing. I didn't ask it to research or write for me, but to reinforce (or teardown) the structures I was building myself.
I want to explore this more in the future, perhaps alongside using the [Obsidian Web Clipper](https://obsidian.md/clipper) plugin. Turning sites directly into Markdown and into my Obsidian Vault sounds like a dream come true. The internal linking there alone is appealing, but combined with NotebookLM, I could have turned 32 individual URLs into four files of interviews covering the *Galaxy* and *Splatoon* games. This would save on resource limitations and streamline finding info on my end.
I know AI is [so hot right now](https://i.kym-cdn.com/entries/icons/facebook/000/034/252/hot.jpg) and as a creative it can be polarizing. This feels like the right way to use these tools to me though—as tools. In all my endeavors with "AI" tools, I use it to support my creative work and vision, not the other way around. I think being intentional is a major angle to this. Where Big Tech may lack the intentionality in this rush, that doesn't mean I have to throw mine away as well.
Until next time...
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