A tool designed in Python to generate text that mimics the style of academic postmodern criticism. It offers customizable and extensible text generation features without relying on large language models.
Complete Essay Generation: Produces fully-formed academic essays with title, abstract, introduction, body sections, conclusion, notes, and works cited sections
Theoretical Sophistication: Incorporates postmodern concepts, philosophers, and theoretical frameworks
MLA 9 Compliant Citations: Generates proper in-text citations and formatted works cited sections
Thematic Coherence: Maintains conceptual and thematic unity throughout the essay
Dialectical Progressions: Develops ideas through dialectical movement
Metafictional Elements: Includes self-referential passages typical of postmodern writing
Academic Abstracts: Generates sophisticated abstracts with keywords and theoretical framing
Proper Formatting: Handles capitalization, italicization, and academic conventions
Reproducible Output: Optional random seed for generating consistent results
Lightweight and Efficient: Does not rely on large language models, ensuring quick and resource-efficient text generation
A transparent, evidence-informed calculator for estimating daily protein intake in generally healthy adults who perform resistance training with maintenance, muscle gain, fat loss, or recomposition goals. Fully static and client-side, with no server, database, account system, or server-side user data storage.
Transparent Calculation Basis: Shows whether the recommendation comes from current body weight, lean-mass adjustment, goal-weight context, and/or diet phase intensity
Multiple Goal Scenarios: Supports maintenance, muscle gain/hypertrophy, fat loss, and body recomposition
Lean-Mass Adjustment Logic: Incorporates body-fat percentage and target body-fat percentage for more context-aware estimates during fat loss and recomposition
Diet Phase Context: Adjusts fat-loss and recomposition targets based on moderate deficit, aggressive cut/lean athlete context, or maintenance/slight deficit where appropriate
Body-Composition Logic: Uses body-fat percentage or optional known lean body mass for adjusted fat-loss and recomposition estimates
Target Body-Fat Context: Estimates goal weight when a valid target body-fat percentage is supplied for fat loss or recomposition
Evidence-Informed Multipliers: Uses sports-nutrition protein ranges expressed in grams per kilogram per day, with public calculation notes and citations
Method Sensitivity: Shows whether current-weight, lean-mass, and goal-weight methods materially change the rounded recommendation
Flexible Unit System: Handles metric and imperial inputs with internal kilogram conversion and dual-unit display
Result Export and Sharing: Copies a compact summary, copies a full report, creates a shareable calculation link, and exports TXT or Markdown reports
Practical Rounding: Rounds protein recommendations to the nearest 5 grams for real-world use
Disclaimer: Educational tool only; not medical advice or a clinical nutrition calculator.