Prompt Generator v2
I made some observations about ’s original prompt generator, definitely not for criticism (🤗), but for clarity of objective and improvement in outcome.
Importantly, the original prompt did not force the model to diagnose ambiguity before writing, and it invites endless iteration instead of quickly aiming for a high-quality prompt. Interestingly, it also did not require the model to optimise for a defined outcome.
So, over a few iterations, I reengineered the prompt using Anthropic’s and Google’s guidance on context engineering versus prompt engineering (see attachment - it’s in markdown format, which is easier for the models to process).
Thank you for the original promoter generator. 😊
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Damien Rothstein
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Prompt Generator v2
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