These are obviously quite brief, quick examples. My own practice is to dictate via the "voicenote" function in the ChatGPT app. I will typically also share original documents e.g. I would upload copies of my working notes, data and metrics so the AI can see what I am working with.
I find that the most important thing is to iterate and share context over multiple rounds in order to get a useful answer. The starting prompt is just a kickoff, the real value emerges in the back and forth.
You can see typical output in this example thread (implemented in the free version of ChatGPT).
In response to a reader query via email for worked examples for this post.
Reader question re this article:
"An example (or two) of [brief description], would help me enormously."
My response:
Example 1
Investment Memo Draft Process: I collect analyst notes, market data, and my own thoughts in multiple docs → spend hours stitching them into a memo.
Example 2
LP Quarterly Update Process: Chasing portfolio founders for metrics, cobbling slides, missing typos.
These are obviously quite brief, quick examples. My own practice is to dictate via the "voicenote" function in the ChatGPT app. I will typically also share original documents e.g. I would upload copies of my working notes, data and metrics so the AI can see what I am working with.
I find that the most important thing is to iterate and share context over multiple rounds in order to get a useful answer. The starting prompt is just a kickoff, the real value emerges in the back and forth.
You can see typical output in this example thread (implemented in the free version of ChatGPT).
The example thread:
https://chatgpt.com/share/6819c144-6370-800f-8c9d-4b9516c2c7d5