A prompt library is only useful if you can find what you need quickly. Where you store it matters.
There are three approaches that work, and the right one depends on your platform and how you prefer to work.
The first option is to store frameworks within a dedicated Project or Custom GPT. Create a project called “Prompt library” and save each framework as a document uploaded to that project. When you need a framework, open the project, find the document, copy the structure, and use it in the relevant client or destination project. This approach keeps everything inside your AI platform.
The second option is a standalone document: a Word document, a Google Doc, or a note in whatever system you already use for business reference materials. Organised by category, with each framework clearly labelled and easy to copy. This approach works well if you prefer to keep your reference materials outside the AI platform itself.
The third option, and the one I use, is a combination. I keep the master library in a standalone document that I can review and update independently of any session. But I also upload the relevant frameworks into specific projects, so when I am working inside a client project the frameworks I need for client communications are already there.
The format matters less than the habit. Pick a storage approach, commit to it, and add to it consistently. A prompt library that lives in three different places and is not maintained is worse than no library at all.
