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How I built PromptCraft AI: turning rough ideas into ready-to-use prompts
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How I built PromptCraft AI: turning rough ideas into ready-to-use prompts

DEV Community: nlp·Niranjan·13 days ago
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A web app that takes a one-line idea, works out what it means and what is missing, and writes four different, detailed prompts for it, each scored for quality. Classical NLP does the understanding, any LLM you choose does the writing, and an offline engine takes over when there is no API key.

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The problem

Most people ask an AI tool for something in one vague line, like "make an e-commerce website", and get a generic answer back. The details that make a prompt useful (platform, scope, stack, design, constraints) are missing, and people don't know what they left out.

What the research found

On a benchmark of 18 ideas across categories, PromptCraft's prompts averaged 95/100, against 49 for the original idea and 52 for a manual expansion, using the offline engine with no LLM.

Completeness rose from 0 to 96 and specificity from 2 to 100: the gains come from filling in what the idea never said, not from rewording it.

Intent was detected correctly for all 18 ideas, and 89% of generated prompts…

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