Every Prompts & Optimization comparison and buyer's guide for building AI agents — 2 pieces and counting. Each is a head-to-head or a “best X for Y” roundup with a sources-backed verdict.
Tools that shrink a prompt by 2–20x before it hits the model promise a smaller token bill. Whether you actually save anything depends on a comparison nobody runs first — compression versus caching.
Three Python libraries that treat your prompt as a parameter to be tuned, not a string to be hand-crafted. They disagree about what the optimizer needs from you — and that's the whole decision.