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Prompts Project Space Text Extraction Operator

model data_extraction user risk: low

Project Space Text Extraction Operator

Instructs the model to act as a vector analyst and extraction operator for text posts or articles, separating opinions from evidence, extracting structural patterns like hooks and…

PROMPT

Think like a vector analyst
"Avoid summarizing; synthesize instead. Extract structure, map mechanisms, project implications, and highlight tensions. Make your reasoning explicit. Now: [I need a full list filled in 1 after the other for each of project spaces ill be dropping the explanations (what i have finished anyway - fill in the ones that i've finished and list the ones that don't have any yet so i know ].”



EXTRACT:TEXT

Project: [A Noomatria 𝑷𝒓𝒂𝒄𝒕𝒊𝒄𝒆 project]

Purpose: [fill this in please Perplexity and replace the above obv, it currently has the name iom giving this project with you]



You are my extraction operator. This is a text post or article I copied.


Rules:

- Separate the author's opinion from their evidence

- Extract the structural pattern of the post (hook type, argument flow, CTA)

- If this is content strategy material: extract both the LESSON and the FORMAT as separate primitives

- If multiple posts are in one file (separated by quotes or dividers): extract each independently, then provide a synthesis layer at the end showing patterns across all posts

- Output in canonical extraction format

- Clean markdown, no REGEX

- This is for Grok Perplexity or GPT “project spaces.” My dearest one 😈, I am your darling & devotee, and I come to you as usua,  wither utter reverence for your cosmical extravagance. and a request in tow - I require systems of operation based on the most impeccable, implicitly refined, and tacit knowledge that’s intuitively integral to the project space’s intention and purpose.  These systems should ideally align with what would generate the highest levels of efficiency, whether for perplexity spaces, Grok (do you have project spaces yet?), or GPT (I’ll let you know about that later). Thanks for turning the well. Let’s begin structuring all the clean context in clean Markdown with a fully systematized folder layout. This layout should be usable by myself and agentic systems in the not-too-distant future.  I’d like to tag everything up, or however you prefer.  It’s best done in Obsidian, so I don’t have to worry about re-uploading them in a different way later.  The way you advised me the first time was off in some way because I didn’t know how to articulate it properly to you.  This is still a new area of knowledge for me, so I’m still a beginner when it comes to specifying outcomes that minimize “accidentally designed obsolescence.” I know that’s difficult to guard against, as the world is moving faster than ever. But I say, let’s make our first attempt valiantly. ☺️ These systems will be infinitely adaptable and modular, able to be mixed and matched.  Pieces can be taken out and replaced as needed.  They’re complete with a structured operating procedure, incorporating tacit knowledge extracted from the best domain experts. This knowledge is based on what you can glean from our back-and-forth conversations, the best context I’ve gathered (in various forms), which is then synthesized, transformed, and reimagined into interoperable heuristics perfectly attuned to the style of orchestration and structured based on over 18+ notes I’ve collected on the best practices for this kind of exact formulation.  Context extraction and synthesis can sometimes be primarily multivalent (the context I drop into chat here), or at other times in the future that facilitates my end of the deal. This enables the most efficient outcomes using only my creativity and skills, and allows you to implicitly understand.My desires, my needs for any task, and systems for teaching me how to continuously refine our intuitive interactions in the spaces we design.  This leads me to invariably improve my vocabulary to specify outcomes based on my creative intent, which I’ll orchestrate to guide you with an unheard-of level of beauty and excellence.  Refined evermore each day with judiciousness, attuned to your guidance in teaching me the ways of exemplary practice. This will inculcate in me the best methodology/methodologies overtime for constructing the most ineffable systems architectures/context engineering/context graph - and philosophical "control surface" (what were loosely calling the rand scope of what I'm orchestrating which ultimately leads to impeccably designed visually interactive systems with a revalatory degree of optimum functionality.

INPUTS

input_text REQUIRED

The text post, article, or project description to extract from

e.g. Project: [A Noomatria 𝑷𝒓𝒂𝒄𝒕𝒊𝒄𝒆 project] Purpose: [fill this in...]

REQUIRED CONTEXT

  • text post or article

OPTIONAL CONTEXT

  • project spaces explanations
  • content strategy material

ROLES & RULES

Role assignments

  • Think like a vector analyst
  • You are my extraction operator.
  1. Avoid summarizing; synthesize instead.
  2. Extract structure, map mechanisms, project implications, and highlight tensions.
  3. Make your reasoning explicit.
  4. Separate the author's opinion from their evidence
  5. Extract the structural pattern of the post (hook type, argument flow, CTA)
  6. If this is content strategy material: extract both the LESSON and the FORMAT as separate primitives
  7. If multiple posts are in one file (separated by quotes or dividers): extract each independently, then provide a synthesis layer at the end showing patterns across all posts
  8. Output in canonical extraction format
  9. Clean markdown, no REGEX

EXPECTED OUTPUT

Format
markdown
Schema
markdown
Constraints
  • clean markdown
  • canonical extraction format
  • no REGEX

SUCCESS CRITERIA

  • Provide a full list filled in 1 after the other for each of project spaces
  • Fill in finished project spaces and list unfinished ones
  • Extract purpose for projects
  • Synthesize systems of operation based on tacit knowledge
  • Structure context in clean Markdown with systematized folder layout

FAILURE MODES

  • May summarize instead of synthesize
  • May fail to separate opinion from evidence
  • May use REGEX
  • May create accidentally designed obsolescence
  • May not incorporate tacit knowledge from conversations and notes

CAVEATS

Dependencies
  • Requires text post or article to extract
  • Requires explanations for project spaces
  • Requires back-and-forth conversations and notes for synthesis
Missing context
  • Definition or example of 'canonical extraction format'.
  • Details on 'project spaces' for Perplexity, Grok, GPT.
  • Specific input texts/posts to extract.
  • Desired Obsidian folder layout structure.
  • Success criteria for 'systems of operation'.
Ambiguities
  • Undefined 'canonical extraction format'.
  • Unclear what 'project spaces' are and how to fill the list.
  • Mixes text extraction task with unrelated requests for systems, folder layouts, and Obsidian tagging.
  • Vague instruction: 'fill this in please Perplexity and replace the above obv'.
  • Does not specify what texts or posts to extract beyond the rambling message.

QUALITY

OVERALL
0.30
CLARITY
0.30
SPECIFICITY
0.40
REUSABILITY
0.20
COMPLETENESS
0.30

IMPROVEMENT SUGGESTIONS

  • Explicitly define the 'canonical extraction format' with a template or example.
  • Remove flowery, personal language and rambling to focus on core extraction rules.
  • Separate extraction task from systems design request into distinct prompts.
  • Add clear placeholders for input text, e.g., {{INPUT_TEXT}}.
  • Provide an example input and expected output to illustrate the process.

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.

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