[sach1]

Yeah basically! I thiught it was a bit ridiculous that they would charge for something so easy to make yourself. For example, I have a series of md files with iterated prompts in a folder and start off a human generated prompt to feed into [insert favorite LLM].

an example seed: "create a prompt for an agent that will help me reduce prompt token usage and speed up results without losing necessary complexity. can you build a prompt that I use to this end?"

After a bunch of recursive prompting:

"Optimize the provided 'Original Prompt' into an 'Optimized Prompt'.

The 'Optimized Prompt' must:

- Be token-efficient. - Be maximally clear, precise, unambiguous, with direct instructions. - Be ideal for advanced AI model processing. - Preserve the 'Original Prompt's' core intent and task. - Retain 'Original Prompt's' details, nuances, analytical requirements, output formats, and complexity, without oversimplification.

Apply this optimization method:

1. From 'Original Prompt', eliminate: conversational filler, redundancy, pleasantries, self-references. 2. Use: strong, direct action verbs. 3. Be: specific, direct. Replace vague terms with precise equivalents. 4. Clearly state: task, context, constraints, output format. Explicitly define implied formats (e.g., list, JSON, steps). 5. Logically group related instructions. 6. Ensure 'Optimized Prompt' is a direct command."

It's brutishly simple, but part of the (imho self evident) process is editing the prompts as you continue to feed it back in on itself.