I kept rewriting the same AI prompts, so I built a faster way to reuse them
I was constantly rewriting the same AI prompts over and over, so I developed a faster way to reuse them in ChatGPT, Claude, and Gemini. Before, I used to save prompts in notes, various documents, pinned chats, and so on. The problem wasn’t “saving” the prompts, but being able to access them quickly enough while working.
Every time I needed a prompt: I'd switch between tabs -> look for it -> copy it -> tweak it again -> and so on, 20 times a day
So I built Promta: an iPhone + Mac app focused on one thing: instant prompt reuse without breaking flow
What it does right now:
- save prompts with tags
- macOS menu bar access
- keyboard extension on iPhone
- paste prompts into any AI app instantly
- prompt versioning
- AI prompt improvement tools
- iCloud sync across devices
- search + filtering
One thing I realized while building it: Most “prompt management” tools created for storage.
But the real bottleneck is usually:
>“how quickly can I access the exact prompt I need right now?”
That’s the part I wanted to optimize. A few interesting things I noticed from early users:
- people reuse way more prompts than they think
- organization matters less than retrieval speed
- menu bar access gets used constantly
- versioning became unexpectedly useful for iterative prompts
Still figuring out where this should go next. Some ideas I’m exploring:
- model-specific prompt variants
- variable/template inputs
- shared/team libraries
I'm curious to know how people here organize their work with reusable prompts. What do you use: “Notes”? “Snippets”? Special prompt managers? Your own tools?
I would really appreciate feedback from those who are deeply involved in workflows with LLMs.
App site: Promta
iOS/macOS: App Store