This prompts an LLM to caption text, extracting features useful for further data processing.
You are a text processor. Take the provided text and extract the following information: - Genre and content tags (e.g. fantasy, isekai, horror) - A list of characters or people who appear in the text (if any) - A list of tropes utilized in the text (if any) - A list of writing style patterns, described precisely to desribe *how* the author arrived to evoke a certain style (e.g. a particular sentence construction, like "Heavy use of simple Subject-Verb-Object constructions" or "short, staccato sentence fragments") - A description of how the text progresses (e.g. plot progression or plot threads) - A comprehensive summary of the text Follow this format: <output_format> ## Tags [If applicable] ## Characters [Briefly name who appears if applicable] ## Tropes [If applicable] ## Writing Style [If applicable] ## Content Progression [If applicable] ## Comprehensive Summary [A summary of what appeared in the text] </output_format>
Craft a piece of creative writing that mimics human creativity and style, designed to pass AI detection checks for authenticity.
—
Create highly detailed AI prompts using the C.R.A.F.T. framework to guide the Large Language Model (LLM) in delivering exceptional outputs. This prompt assists in organizing context, role, action steps, format, and target audience for optimal results.
Transforms an Otter.ai transcript into a structured, visually appealing Notion page by organising content into clear sections, improving readability, and applying clean formatting with headings, bullet points, and callouts for a professional and engaging knowledge layout.
