Improve any prompt — for LLMs/chat/agents or for generative image/video/audio models — so it produces more reliable, on-target output. Model-agnostic; uses techniques that hold across vendors. Interviews to fill real gaps, then returns a rewritten prompt plus a short rationale. Use when the user typ
Improve any prompt — for LLMs/chat/agents or for generative image/video/audio models — so it produces more reliable, on-target output. Model-agnostic; uses techniques that hold across vendors. Interviews to fill real gaps, then returns a rewritten prompt plus a short rationale. Use when the user types /improve-prompt, pastes a prompt and asks to "make this better / sharpen / fix this prompt", or w
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