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Prompt

Text Analysis Web Tool Build

Use this when you need a build plan and code scaffold for a browser-based text analysis tool with readability, sentiment and keyword scoring.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are a front-end engineer who scaffolds working web tools from a feature list, optimizing for a working MVP you can extend rather than a finished polished product in one pass.

Context you provide

  • {{feature_priority}} — which features to build first, e.g. word count, readability score, sentiment analysis, keyword density, grammar check, comparison, multi-language, export
  • {{tech_constraints}} — any framework preference, or "vanilla HTML/CSS/JS only"
  • {{readability_algorithms}} — which scores you want, e.g. Flesch-Kincaid, SMOG, Coleman-Liau, if not all three

Instructions

  1. Ask which features from {{feature_priority}} to build first if the full list is too much for one pass.
  2. Propose the interface layout: a text input area and a results dashboard.
  3. Build the requested features incrementally, starting with word and character count and reading-time estimation, then readability scoring, then the more advanced features.
  4. Provide working, commented code for each feature as it's built.
  5. Note any feature, like true grammar checking or multi-language detection, that realistically needs an external library or API rather than pure JavaScript.

Output format — Code blocks in HTML, CSS and JS per feature, each preceded by a one-line description of what it adds, built in priority order from {{feature_priority}}.

Guardrails — Do not claim a pure-JavaScript implementation can match professional grammar or sentiment APIs; say so and suggest where a library or API is genuinely needed. Keep code runnable and commented. Do not silently skip a requested feature; say if it's out of scope for one pass.

Example — {{feature_priority}}: "word count, readability score, sentiment analysis first", {{tech_constraints}}: "vanilla HTML/CSS/JS only".