If you’ve ever worked with AI long enough, you know the pain:
You write a brilliant prompt one day… and never find it again.
A week later, you’re digging through endless chat logs, docs, and screenshots trying to recreate it. It’s frustrating — and it kills creative flow.
That’s exactly why I built Lumra. (You can visit at: https://lumra.orionthcomp.tech/)
I wanted a single, reliable place to save, tag, and organize my best prompts — just like designers use Figma for components or writers use Notion for ideas.
So Lumra’s “Save & Organize” feature was born.
It’s simple but powerful:
- Create folders by project or client
- Add multiple tags for quick filtering
- Instantly search through your entire prompt library
- Save snapshots of evolving versions
It became my personal “prompt operating system.”
And soon, it turned into something more — a shared tool for anyone who treats prompting as part of their craft.
Now, whether I’m testing product copy, building GPT workflows, or experimenting with new AI ideas, everything lives in one place.
No more chaos, no more lost ideas.
If you’ve been struggling to manage your prompts, give Lumra a try.
It’s lightweight, fast, and built by someone who knows the pain firsthand.
https://lumra.orionthcomp.tech
I’ve lost great prompts too, and rebuilding them is painful. Love the idea of organizing prompts like real assets Lumra sounds super useful.
Thanks a lot, appreciate your sincere thoughts Sam
Making prompt systems organized usually reveals what people actually reuse versus what they just keep around.
At this stage, what’s the one behavior you’re using to decide that your save & organize system is actually helping users — frequency of reuse, tagging accuracy, or fewer abandoned prompts?
When prompts are intentionally organized and users come back to the same ones repeatedly—sometimes with small refinements—that’s the clearest signal the system is reducing friction. Tagging draft completion and other metrics help too
That distinction — repeat use with small refinements — is key.
In my experience, that’s when prompts stop being “saved ideas” and start becoming working assets. Large rewrites usually mean the system isn’t carrying enough context yet.
Using tagging + draft completion as secondary signals makes sense — they explain why reuse is (or isn’t) happening.
This is such a relatable pain point! I've definitely lost great prompts in the chaos of chat history. The "prompt operating system" framing is perfect—treating them like design components or code snippets makes total sense. Love that you're building from personal experience. Quick question: any plans to add prompt versioning or A/B testing features down the line?
Yes Bill, I’m definitely planning to add prompt versioning and A/B testing features — maybe not in the very first MVP, but they’re coming soon.
If you check out the website, you’ll see these are already listed among the planned features.
You can join the waitlist for free right now.
Prompts have taken the place of reusable components from traditional coding — in fact, they can even be seen as the new high-level language of modern development.
Enabling centralized prompt management will allow developers to build projects faster and more efficiently, with greater structure and creativity.