u/VeraCypherBooks

Body: I've spent a lot of time with JAWS over the years and kept notes on things that weren't obvious when I started — especially around virtual cursor navigation and setting up scripts to speed up repetitive tasks. A few things that made a real difference for me:

Learning the virtual cursor vs. PC cursor distinction early saves a ton of confusion — most navigation frustration comes from not knowing which mode you're in.

JAWS scripts can automate things you do constantly (like navigating a specific site's layout) — worth learning even basic scripting once you're comfortable with the shortcuts.

Combining audio and braille feedback, rather than relying on one alone, made multitasking (like proofreading while listening) much smoother.

I ended up writing all of this into a full guide since I couldn't find one that covered setup through advanced use in one place. Happy to share it if anyone wants it, and happy to just answer JAWS questions here too.

I've spent a lot of time with JAWS over the years and kept notes on things that weren't obvious when I started — especially around virtual cursor navigation and setting up scripts to speed up repetitive tasks. A few things that made a real difference for me:

Learning the virtual cursor vs. PC cursor distinction early saves a ton of confusion — most navigation frustration comes from not knowing which mode you're in.

JAWS scripts can automate things you do constantly (like navigating a specific site's layout) — worth learning even basic scripting once you're comfortable with the shortcuts.

Combining audio and braille feedback, rather than relying on one alone, made multitasking (like proofreading while listening) much smoother.

I ended up writing all of this into a full guide since I couldn't find one that covered setup through advanced use in one place. Happy to share it if anyone wants it, and happy to just answer JAWS questions here too.

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I've been using NotebookLM heavily for research and studying, and ended up writing down everything I learned along the way. A few things that took me way too long to figure out on my own:

Audio Overviews aren't just a novelty — they're genuinely useful for reviewing dense material passively (commute, chores, etc.), but they work best when your source notebook is tightly focused on one topic rather than a mixed bag of unrelated documents.

How you phrase questions matters a lot. Vague prompts get vague summaries. Asking something specific like "what are the counterarguments to X in these sources" gets far more useful answers than "summarize this."

Organizing notebooks by project, not by source type, made a huge difference — one notebook per research question/project rather than dumping everything into one giant notebook, so the AI's context stays focused.

I turned my notes into a full guide since I couldn't find one that covered the whole workflow start to finish — happy to share it if anyone's interested, and also happy to just answer NotebookLM questions here if that's more useful.