|
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. |