I’m thinking of making a simple wrapper around APIs, because web-based AIs tend to dump literal tons of text due to monetary incentives. For now I prepend a standard pseudo-system stub to all my chats, works fine in my case.
Tired of OpenAI account deletions and Gemini template hiccups? Frustrated with manually typing or copy-pasting prompts every time you switch between LLM clients? If you're like me and want a smoother way to manage your prompts, I built a tool that might be just what you need.
*The Problem:*
* OpenAI accounts can be deleted unexpectedly.
* Gemini templates sometimes fail to work.
* Re-typing or copy-pasting prompts across multiple clients is tedious.
*The Solution: DryPrompt*
DryPrompt lets you create reusable prompt templates with variable fields. You set up the framework once, and then simply fill in the variables to generate the full prompt.
*How It Works:*
1. *Go to:* dryprompt.go123.live
2. *Sign up:* It's free and allows you to sync your prompts across devices.
3. *Create a template:* Define your prompt structure and mark the parts you want to change with variables.
4. *Use it:* Copy the template, replace the variables with your specific content, and you've got your ready-to-use prompt!
*Example:*
Let's say you need to internationalize multiple code files. With DryPrompt, you can create a template that includes the file code as a variable. Each time, just copy the template, paste in the new file's code, and you'll instantly get the internationalization prompt. No more tedious copying and manual concatenation!
*Give it a try and make your LLM workflow more efficient:* dryprompt.go123.live
Mostly plain text files saved locally for easy copy-pasting.
I'll occassionally use prompts from the Anthropic library (https://docs.anthropic.com/en/prompt-library/library) and make some minor modifications to them. E.g. I'll modify the "prose polisher" prompt from the prompt library for refining written text in specific ways.
I keep it adhoc - models change so frequently that prompts are always broken all the time. Most of the ones I've used last year are no longer relevant.
"Prompt engineering" may be a thing of the past. These days, you can sketch a vague table on a piece of paper and take a photo of it with a phone, and AI will figure out exactly what you're trying to do.
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[ 3.0 ms ] story [ 28.8 ms ] thread*The Problem:*
* OpenAI accounts can be deleted unexpectedly.
* Gemini templates sometimes fail to work.
* Re-typing or copy-pasting prompts across multiple clients is tedious.
*The Solution: DryPrompt*
DryPrompt lets you create reusable prompt templates with variable fields. You set up the framework once, and then simply fill in the variables to generate the full prompt.
*How It Works:*
1. *Go to:* dryprompt.go123.live
2. *Sign up:* It's free and allows you to sync your prompts across devices.
3. *Create a template:* Define your prompt structure and mark the parts you want to change with variables.
4. *Use it:* Copy the template, replace the variables with your specific content, and you've got your ready-to-use prompt!
*Example:*
Let's say you need to internationalize multiple code files. With DryPrompt, you can create a template that includes the file code as a variable. Each time, just copy the template, paste in the new file's code, and you'll instantly get the internationalization prompt. No more tedious copying and manual concatenation!
*Give it a try and make your LLM workflow more efficient:* dryprompt.go123.live
My current kludge is to edit long fields of text in an external editor via a browser addon, and have the editor save all such edits locally.
Source code: https://github.com/polywock/gpt-search
- Save them as a ChatGPT custom GPT or a Claude Project.
- Create a RayCast AI Command. https://manual.raycast.com/ai
- Save them as a text snippet in Obsidian notes. https://obsidian.md
I'll occassionally use prompts from the Anthropic library (https://docs.anthropic.com/en/prompt-library/library) and make some minor modifications to them. E.g. I'll modify the "prose polisher" prompt from the prompt library for refining written text in specific ways.
"Prompt engineering" may be a thing of the past. These days, you can sketch a vague table on a piece of paper and take a photo of it with a phone, and AI will figure out exactly what you're trying to do.