Picture this: you spend 20 minutes crafting the perfect prompt. The AI output is exactly right. You think “I’ll definitely use this again” and close the tab. Three weeks later you need that exact prompt and it’s gone, buried somewhere in chat history between 40 other conversations and a notes app full of half-finished ideas.
The problem wasn’t the prompting. It was the system, or more accurately, the total lack of one.
That exact frustration is what pushed u/Resident-Corgi3711, a developer and Reddit contributor, to build a dead-simple framework for organizing AI prompts. The system worked well enough that they turned it into a dedicated app called PromptlyGo.
🗂️ Why prompt organization actually matters
Here’s something most people don’t realize until it bites them: finding a great prompt and keeping a great prompt are completely different skills. You can be sharp at writing prompts, but if they’re scattered across a dozen tabs and tools, you’re rebuilding the same thing from scratch every few weeks.
The original poster put it plainly: the real bottleneck wasn’t bad prompts. It was good prompts getting buried in chats, notes, screenshots, and random text files. The actual work was already done, but the results were unreachable.
Once you hit a certain volume of AI work, improvising every single time stops being sustainable. You need a library you can actually search and trust. Think of it like a recipe box. A great cook doesn’t reinvent their best dish from memory every time. They have it written down somewhere they can actually find it.
📋 The four-category framework
The author’s system is refreshingly minimal. Four buckets, no complex tagging, no elaborate folder hierarchies:
- Reusable prompts: Prompts that work across many tasks with small edits. These are your templates. The ones you reach for every week. Think things like your go-to summarization prompt or your standard tone-setting instruction for a specific writing style.
- Prompts by project or client: Anything specific to one workflow, client, or ongoing job gets its own dedicated space. Keeps things from bleeding together. If you’re managing three clients with very different voices and goals, mixing their prompts into one pile is a fast way to produce the wrong output for the wrong person.
- Prompts by output type: Separate buckets for code, writing, image generation, research, and other recurring categories. You’d be surprised how often you’re looking for “that thing I used for blog posts” rather than any specific prompt name.
- Tested prompts only: If a prompt sounds clever but hasn’t produced reliable results yet, it doesn’t go into your real library. It’s on probation until it proves itself.
That fourth rule is the most underrated part of the whole system. Most people save prompts as they find them or write them. The author only saves prompts that have actually been verified to work. The library stays small, relevant, and trustworthy instead of becoming another mess to sift through.
💡 Tips for making this actually stick
The framework is simple. Getting yourself to use it consistently is the harder part. A few things that help:
- Save immediately after a win. The moment a prompt produces something great, capture it right then. Going back through chat history later never works as well as you think it will.
- Add a one-line note about why it worked. “Used for client SEO briefs, reliable for structured output” is more valuable than the raw prompt text alone. Future you will be grateful for the context.
- Don’t overfill the reusable category. The whole point of that bucket is that you can grab something and go. If it has 200 entries, it’s just another mess.
- Review monthly. Prompts go stale as models update. Something that performed well six months ago might need a tune-up today. A quick monthly pass through your library keeps it sharp and removes anything that no longer pulls its weight.
🛠️ About the app they built
After running this system in plain notes and folders for a while, the author built PromptlyGo, a dedicated prompt manager with the four-category structure already baked in.
It’s currently available for Windows and macOS, with Android and iOS versions in progress. The source is on GitHub if you want to take a look before committing to anything.
If you’re comparing it to existing options: tools like Notion or Obsidian can technically handle this, but they require you to design the structure yourself and maintain the discipline to follow it. PromptlyGo has the logic built in from the start. Less setup, faster to get going, and one fewer system you have to maintain by willpower alone.
🔗 Check it out
Whether you use the app or just borrow the four-category system for your existing notes setup, the logic holds up. Reusable, project-specific, output-type, tested-only. It takes about ten minutes to set up and saves real time every week after that.
Head to the original Reddit thread to grab the GitHub link and see the full post. The author is also actively looking for feedback on what would make a prompt library genuinely useful, so if you have opinions on that, they want to hear them!
A simple framework I use to stop losing good prompts
by u/Resident-Corgi3711 in ChatGPTPromptGenius