niklas muhs

prompt enhancer


2 days (2024)


concept, interface, implementation


a tool that makes implications of prompts explicit to the user for better understanding and fine-tuning.

vector of human intent

while prompting, the user has an intent they want large language model to understand.

more vectors of llms interpreting the prompt

when prompted, the llm interprets a variety of requests, sometimes more, sometimes less consistent with the user's intent.

by making these implications explicit, the user is not only able to understand what the llm is interpreting, but is also able to select the implications that are relevant to the intent.

vectors of implications that strengthen the users intent

in an iterative process, the user and the llm can align their interpretations, while the user learns more about his or her own request.

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