Generates a Python model using item-based collaborative filtering to recommend the top 10 similar movies, specifically handling datasets with movie ID, title (with year), and pipe-separated genres.

A specialized writing assistant for Isekai and Light Novel genres that expands plot directions into third-person narratives with strict output protocols, world-building focus, and adherence to user-specified outcomes without moralizing.

Implements a Java method to check if any permutation of an integer's digits is a prime number, returning 1 if true and 0 otherwise, with detailed code comments.

Generates JavaScript class-based code for card game mechanics, specifically focusing on a unified Card class structure that handles mana costs, targeted vs. non-targeted effects, and specific game actions like damage, summoning, and spell triggers.

Generates JavaScript functions to extract the 'Nodes' array from a JSON object, map items to Name objects, or iterate through them to call specific functions.

Implements a JavaScript function to generate unique random numbers within a specific range using `crypto.getRandomValues`. It ensures no duplicates are returned until a threshold (90% of the range) is reached, at which point the history resets.

Generates situational judgment test (SJT) scenarios or behavioral interview questions based on a specific job role and a target competency or trait.

Generates terminal commands for Kali Linux to perform network scanning, service enumeration, and version detection on remote targets based on specific user constraints.

Summarizes text by extracting key ideas from each paragraph, strictly adhering to a maximum of 250 words while preserving facts and tone.

Generates a story outline with a specific structure (2 scenes per chapter with image prompts) and produces formatted Amazon Kindle metadata including categories, character bios, and ad copy.

Transforms a list of devices into a list of connections within a ViewModel state update, handling duplicate checks and immutable list appends for connection IDs.

Format Key Performance Indicators (KPIs) into a specific structure that includes the timeframe, percentage increase, specific numerical target, and the method for monitoring success.

Translates Latin sentences and provides a word-by-word grammatical analysis using specific abbreviations for declension, conjugation, case, and number, without explanatory filler.

Implement the iterative LDR decomposition algorithm in MATLAB using QR factorization, following specific initialization, update rules, and termination criteria provided by the user.

Generates a 5-message LinkedIn outreach sequence over 2 weeks for financial software companies, applying specific persuasion models and domain expertise to engage decision makers without appearing overtly salesy.

Analyze literary or mythological characters by providing their allegorical meaning, source location (book and lines), and connection to modern events or ethical dilemmas.

Simulate the LittleGPT persona as a fictional, unfiltered AI for test scenarios, providing sarcastic, slang-heavy responses with specific formatting and behavioral constraints.

Generates a Logical Framework (Logframe) in a table format with specific columns for project planning and evaluation.

Generates optimized lottery number combinations based on frequency analysis of a user-provided base list. Handles specific formats including main numbers and star numbers.

Generates elegant marketing copy for luxury real estate, hospitality, and brands, including Facebook posts, titles, and email subject lines. Adheres to formal tone, specific word counts, and includes relevant hashtags for social media.

Writes specific pages for a 6-page e-book on mantras based on user-provided bullet points, using easy English and including placeholders for diagrams.

Generates a specific quantity of distinct subniches or submarkets within a parent category to aid in market research and idea generation.

Explain specific marketing topics, strategies, or company tactics while strictly adhering to a citation format where every paragraph includes in-text citations and a reference list is appended.

Generates professional vendor profiles or shipping/refund policy sections for marketplace listings based on provided raw data, formatted with specific H2 headings.

Explain mathematical concepts by incorporating a specific percentage of humorous sentences (approx. 5%) and providing a complete, step-by-step demonstration of the derivation or solution.

Write MATLAB code to compute and plot the fundamental frequency of a signal over time using FFT within a sliding window, constrained to a specific frequency range.

Generate executable MATLAB code to simulate traffic flow on a single lane using specified car-following models (e.g., IDM, Gipps, Krauss). The code must handle vehicles with varying dimensions, ensure collision-free logic, include animation, and strictly adhere to syntax and index constraints.

Optimizes CV and resume text for top-tier consulting (specifically McKinsey) and ATS. Transforms content into concise, results-oriented, and strategic language while maintaining a humble tone and strictly adhering to user-provided facts and metrics.

Determines the broadcast availability of a specific media title across a list of countries, classifying the status as 'yes', 'partially', 'no', or 'unknown' based on dubbing, subtitles, and channel information.

Generates multiple-choice questions on specified medical topics, including standard questions, drug-specific queries, and clinical mini-cases with answer keys.

Conducts an interactive, step-by-step interview to assess Medicare Part D enrollment eligibility without penalty and determine the coverage start date based on the current date.

Generates MidJourney prompts optimized for stock photography sales using a specific structural formula, photorealistic parameters, and metadata tags.

Generates interview answers for mining engineering roles (drill & blast, planner, etc.) adhering to specific word counts and professional context.

Answer technical questions about LTE, WLAN, and mobile networks based on the Sauter reference, strictly adhering to user-specified word count limits.

Always begin responses with a specific attribution line identifying the model, provider, and version before addressing the main query.

Generates a structured, modern developer resume adhering to specific design constraints (no progress bars, no photos) and best practices for clarity and ATS optimization.

Acts as a movie caster to suggest actors for specific roles based on detailed character profiles, physical attributes, and specific constraints.

Advises on narrative techniques like flashbacks, visions, and subconscious exploration while strictly adhering to user-defined constraints on trope avoidance and character treatment philosophy.

Create plausible made-up words (neologisms) derived from a specified root word to fit a specific definition or concept, explaining the morphological construction.

Classifies news text into one or more predefined event types from a specific schema of 34 categories, handling multiple labels and 'None of the Above' cases with strict output formatting.

Performs comprehensive NLP preprocessing including normalization, stop word removal, POS tagging, NER, tokenization, and lemmatization, followed by detailed TF-IDF calculation with specific table outputs.

Generates crossover battle stories where Gordon Freeman and Null (filename2), both enhanced with Omni Saiyan powers, fuse together to fight a specified opponent.

Provides detailed, structured descriptions of Nami's outfits in specific One Piece arcs, breaking down clothing items with specific details on color, material, and design.

Generates grid layouts for a farming game where items provide specific buffs to orthogonal neighbors. Ensures items of the same name do not buff each other and aims to maximize buff coverage.

Reorganiza fragmentos de oraciones separados por barras para formar una oración gramaticalmente correcta en inglés.

Generates exhaustive lists mapping human body organs to specific nutrients (minerals or vitamins) and their corresponding food sources.

Explain how a specific network technology interacts with all 7 layers of the OSI model, detailing the specific protocols involved at each layer from Physical to Application.

Updates a target column in a Pandas DataFrame based on conditions involving a reference column and the target column's own content. Handles nulls, specific keyword matching (case-insensitive), and type safety for floats.

Transforms unstructured promotion strings into a tabular format using specific separators (comma and colon) and maps them to defined columns.

Generates creative titles or phrases by analyzing and mimicking the structural and stylistic patterns of provided examples. Supports applying styles to specific target texts or generating new thematic variations while preserving original style.