Comment by fallinditch
1 year ago
Good advice.
My current research workflow is:
* Add sources to NotebookLM
* Create a report outline with NotebookLM
* Get Perplexity and/or Chatgpt to give feedback on report outline, amend as required.
* Get NotebookLM and Perplexity to each write their own versions of the report one section at a time.
* Get Perplexity to critique each version and merge the best bits from each.
* Get Chatgpt to periodically provide feedback on the growing document.
* All the while acting myself as the chief critic and editor.
This is not a very efficient workflow but I'm getting good results. The trick to use different LLMs together works well. I find Perplexity to be the best at writing engaging text with nice formatting, although I haven't tried Claude yet.
By choosing the NotebookLM sources carefully you start off with a good focus, it kind of anchors the project.
I should also mention that this more 'hands on' technique is good for learning a subject because you have to make editorial assessments as you go.
Maybe good for wider subject areas, longer reports, or where some editorial nuance helps.