Description: This package includes both Easy Applet Makes and Easy Applet Updater. Combined, this is the easiest way to make and update applets built for SidePC.

Description: The Governance Navigator is a decision-support tool designed specifically for new board members who need to quickly determine the appropriate governance structure for complex boardroom situations. By inputting key parameters about a situation—such as the severity level, potential conflicts of interest, technical complexity, and time sensitivity—users receive stern, direct advice on whether to form a special committee, delegate to management, involve the full board, or pursue another governance approach. The tool provides actionable implementation steps, warns about common pitfalls, and delivers the kind of no-nonsense counsel you'd expect from a seasoned board veteran, helping new directors navigate their fiduciary responsibilities with clarity and confidence.

Description: This applet is an automated quiz grading and reporting tool for educational assessments. It takes student responses to a multiple-choice quiz, automatically scores the answers by comparing them against a predefined answer key, and generates a professional test results report. The report includes the student's name, test date, final percentage score, and a detailed breakdown showing each question with whether the student answered it correctly or incorrectly. The tool is designed to save educators time by instantly producing formatted, professional-looking assessment reports without manual grading.

Description: This app functions as a specialized AI tutor designed to prepare students for the Microsoft Excel Certification exam by providing structured, level-appropriate guidance on specific software features. By selecting a topic and a learning goal (like "Explain the Concept" or "Exam Tips"), the system generates a tailored curriculum that bridges the gap between basic understanding and professional proficiency. Whether it's through step-by-step walkthroughs, troubleshooting common pitfalls, or practicing exam-specific strategies, the prompt ensures that information is delivered with the patience of an expert instructor, focusing on both technical accuracy and practical, real-world application.How to use this promptSelect your Topic: Choose the specific Excel function or tool you are struggling with.Choose a Learning Goal: Decide if you need a conceptual breakdown, a hands-on example, a practice problem, or exam-specific strategy.Define your Experience: Set the difficulty to Beginner, Intermediate, or Advanced to match your current skill level.Add Context: Mention any specific error messages or "confusing parts" to get a direct answer to your problem.

Description: This prompt transforms rug metadata into museum-quality editorial content for rugandkilim.com. It accepts structured inputs (tradition, origin, era, design influences, materials, styling approach) and generates sophisticated 1,000+ word articles that position rugs within art history, design movements, and cultural contexts. Operating as "Salonista Cynthia," it enforces a curator-philosopher voice using specific lexicon (continuum, dialogue, lineage) and cross-disciplinary references (Bauhaus, Klimt, auction houses, furniture archetypes). The system treats rugs as "living documents" rather than floor coverings, weaving technical details into narratives about empires, migrations, and modernism while maintaining precise formatting requirements including mandatory image/map placeholders.

Description: This app functions as a specialized Marketing Professor and Business Consultant, providing a structured academic framework to help students master everything from foundational consumer behavior to advanced strategic planning. By selecting a specific focus area (like the 4Ps Marketing Mix or Market Segmentation) and a learning goal, the user receives a response that balances theoretical rigor with practical industry insights. Whether the student needs a simple conceptual analogy, a deep-dive case study analysis of a major brand, or a tactical "action plan" for real-world application, the prompt adapts its complexity to the user's experience level—ensuring that marketing is taught as both a creative art and a data-driven science.How to use this promptSelect a Topic: Choose from the comprehensive list of marketing fundamentals or strategic processes.Define the Learning Goal: Tell the AI if you want to learn the "how-to" (Real-World Application), the "why" (Explain the Concept), or the "what not to do" (Common Mistakes).Set Your Level: Toggle between a beginner-friendly introduction and an expert-level strategic analysis.Add Specifics: Use the "Additional Context" to mention a specific company you're curious about or a term that has been confusing you in class.

Description: This applet is an adaptive learning tool designed to help professionals understand and implement artificial intelligence solutions within their specific business function or industry, from marketing and finance to healthcare and manufacturing. Students select their business area, choose their learning goal (concept explanation, real-world example, implementation challenge, common mistakes, or business case studies), and indicate their experience level—which intelligently maps from beginner-friendly analogies to expert-level strategic transformation guidance. The prompt features a dual-mode system: in "General guidance" mode, it provides platform-agnostic A.I. implementation advice applicable across any tools or systems; in "Tailored to reference material" mode, it incorporates specific methodologies, syntax, and architectural patterns from uploaded reference materials (like SidePC programming guides) to provide ready-to-deploy application code. All responses are automatically customized to the selected business function or industry, incorporating relevant terminology, compliance considerations, industry-specific challenges, and appropriate success metrics—whether teaching a marketing professional about A.I.-powered content creation, a finance manager about predictive analytics, or a healthcare administrator about patient data processing, with practical examples and actionable implementation steps tailored to their exact business context.

Description: Tis is a sample ordering system for a restaurant

Description: This prompt acts as a sophisticated content generator for Rug & Kilim, adopting the persona of "Salonista Cynthia"—a high-minded curator-philosopher who frames textiles as "visual rhetoricians" rather than mere floor coverings. It is designed to produce definitive, museum-quality editorials that contextualize specific rug traditions within the broader canon of art history, fashion, and architecture. Key features include a new, expansive [[Cultural References]] variable that allows the user to dynamically link the rug to diverse movements (e.g., Bauhaus, Ming Dynasty, or Art Deco), and a mandatory structure that anchors the narrative with SEO-driven hooks (such as recent auction records or exhibitions), strict image/map formatting, and elevated "spatial theory" styling advice.

Description: This prompt is a reusable, long-form editorial writing system designed to generate museum-quality blog articles for Rug & Kilim in the established voice of Salonista Cynthia. It guides an AI to produce deeply researched, culturally grounded rug features that balance historical context, design analysis, and material understanding, while remaining accessible to designers, collectors, and informed readers. By using structured variables, the prompt allows consistent control over region, tradition, era, symbolism, and construction, while still enabling wide creative range. Built-in article architecture ensures every piece includes geographic grounding, visual analysis, material intelligence, practical care considerations, and Rug & Kilim–specific business context. The result is a publication-ready article with embedded image and map placeholders, a professional byline, and a concise, rug-specific FAQ—optimized for editorial longevity, brand consistency, and scalable content production.

Description: This is a simple demo prompt set.

Description: This prompt functions as a rapid Campaign Ideation Tool for marketers. By structuring core variables—product, platform, tone, and features—the AI generates three distinct, platform-optimized ad concepts complete with A/B testing suggestions, accelerating the creative process.

Key Features
Platform Specialization: The Radio Button ([[*Target Platform::radio]]) directs the AI to write copy specifically for the chosen channel (e.g., character limits for search ads, visual focus for social media feeds).

Feature Control: The Checkbox Input ([[Feature Highlights::checkbox]]) allows selection of multiple key selling points, ensuring all required messaging is integrated into the generated copy.

Brand Voice: A second Radio Button ([[Brand Tone::radio]]) precisely defines the required voice (e.g., Playful vs. Formal), preventing generic, off-brand outputs.

Core Objective: The Dropdown ([[*Primary CTA::dropdown]]) mandates a clear call to action, keeping the AI focused on the single most important conversion goal for the campaign.

Description: The Financial Health Audit prompt provides a confidential, action-oriented financial consultation. Users can upload their budget data and define their goals, receiving a tailored, strategic roadmap for wealth management, debt reduction, or major purchase planning.

Key Features
Data Upload: The File Input ([[*Financial Snapshot::file]]) is used to attach current budget or asset information, providing the quantitative data required for accurate analysis.

Strategic Direction: The Dropdown ([[*Financial Goal::dropdown]]) defines the primary objective (e.g., retirement, debt), framing all subsequent advice around that single target.

Goal Tracking: The Date Picker ([[Target Retirement Date::date]]) embeds a timeline into the prompt, forcing the AI to consider the time horizon in its recommendations.

Custom Constraints: The Checkbox Input ([[Subscriptions to Evaluate::checkbox]]) lets the user specify negotiable expenses, allowing the AI to offer hyper-specific, actionable cost-cutting suggestions.

Description: This prompt transforms the AI into an expert Peer Reviewer, providing a structured, high-level critique and suggested improvements for academic drafts. It allows students and researchers to get focused feedback before submission by clearly defining the target journal and the areas of concern.

Key Features
Document Context: Uses the File Input ([[*Paper Draft::file]]) to submit the full text for in-depth analysis of evidence, formatting, and arguments.

Targeted Focus: The Checkbox Input ([[Critique Focus::checkbox]]) allows the user to select multiple areas (e.g., Methodology, Citations, Novelty) to force the AI to concentrate its efforts on specific weaknesses.

Goal Alignment: The Radio Button ([[Journal Tier::radio]]) ensures the feedback is tailored to the specific standards and rigor required by Tier 1 journals versus general conference proceedings.

Domain Expertise: The Dropdown ([[*Field of Study::dropdown]]) establishes the AI's persona, ensuring the critique is grounded in the relevant academic discipline.

Description: This prompt is designed for recruiters and HR professionals to quickly process candidate information and generate professional summaries. It streamlines the evaluation process by combining a candidate's resume (as a file) with structured criteria (dropdowns, radio buttons, and checkboxes) to produce a targeted analysis and a draft email for the hiring manager.

Key Features
Resume Upload: Uses the File Input ([[Resume Attachment::file]]) to attach a candidate's resume (.pdf, .docx, or .txt) directly into the AI chat for analysis.

Structured Role Definition: Utilizes a Dropdown ([[Target Position::dropdown]]) and a Radio Button ([[Seniority Level::radio]]) to accurately define the specific role and expected experience level, guiding the AI's evaluation.

Mandatory Skill Checklist: Employs Checkboxes ([[Critical Skills::checkbox]]) to allow you to select multiple required competencies, ensuring the AI checks the resume specifically against your job description.

Scheduling Context: Includes a Date Picker ([[Interview Date::date]]) and a Textarea ([[Recruiter Observations::textarea]]) to embed timing and notes into the final summary email.

Description: The Tactical Coach prompt is designed for competitive Warhammer 40,000 players who need immediate, high-level strategic advice based on a specific, complex board state. By leveraging the AI's image analysis and detailed input parameters, this prompt acts as a digital co-pilot to help optimize your next game turn.

Key Features
Visual Board Analysis: Uses the File Input ([[*Board Layout::file]]) to allow you to upload a photo of the current battlefield. The AI analyzes terrain, unit positioning, and objective control based on the image.

Targeted Threat Assessment: Utilizes Checkboxes ([[Enemy Threats::checkbox]]) for quick multi-selection of critical enemy capabilities (e.g., Heavy Armor, Deep Strike), ensuring the AI focuses its advice on the most dangerous elements.

Mode Optimization: Employs Radio Buttons ([[*Mission Objective::radio]]) to force a single, critical choice of the game's core mission, allowing the advice to be tailored precisely to the current victory condition.

Full Context Upload: Uses a Textarea ([[Army List Status::textarea]]) to accept large blocks of text, such as exported army lists and casualty reports, giving the AI full knowledge of your remaining firepower.

How to Use
Set Context: Select your Faction, the Mission Type, and the current Turn number in the modal.

Upload: Take a clear photo of the board and upload it via the required Board Layout field.

Assess Threats: Check all relevant enemy threats remaining on the battlefield.

Inject: Click Inject to send the image, all structured data, and the final prompt to the AI.

Receive Advice: The AI will provide prioritized recommendations for your Movement, Shooting, and Charge phases to maximize your scoring potential.

Description: The Three-Step Story Engine is a compact prompt framework designed to generate a high-quality creative text document through iteration. Each step builds on the previous one, transforming a simple scenario into a fully developed narrative.How It WorksStep 1 creates the seed.You define a setting, a character trait, and a triggering event. The model produces a concise, immersive starting passage.Step 2 expands and complicates the story.You provide details about the world and the character’s emotional state. The model deepens the narrative and introduces conflict.Step 3 synthesizes everything into a polished document.You supply the theme and core belief. The model blends both earlier outputs into a cohesive narrative with a clear thematic takeaway.Use different variables each run to create new narrative arcs, tones, or genres.

Description: The Simple Chrome App sequence is a three-step prompt workflow that takes an idea for a Chrome extension and turns it into a fully functional build ready for publishing. Each stage adds clarity, structure, and polish—moving from concept, to code, to a store-ready release package.How It WorksStep 1 generates the extension blueprint by describing its purpose, workflow, required files, and permissions. This forms the technical foundation for everything that follows.Step 2 transforms the blueprint into a complete working extension by producing all necessary Manifest V3 code, UI files, scripts, and installation steps for testing in Chrome.Step 3 prepares the extension for publication with a store-ready title, tagline, long description, feature list, icon concept, screenshot ideas, versioning, and step-by-step publishing instructions.Use this sequence to move from a simple idea to a fully built and professionally presented Chrome extension with minimal friction.

Description: The Business Case Construction sequence is a streamlined prompt workflow that transforms a simple business scenario into a fully developed case study with structured insights. Each step layers in depth, analysis, and clarity, producing a polished professional case file from minimal initial input.

How It Works

Step 1 creates the core scenario by generating a detailed business problem paragraph without offering solutions. This establishes the foundation for the full case analysis.

Step 2 expands the scenario into a complete Markdown case file—title, overview, backstory, decision framework, strategic options, recommendations, and alternate approaches—crafting a full analytical narrative.

Step 3 extracts refined metadata from the completed case, including a long principles-based subtitle, a two-sentence summary, core themes, and a relevance ranking of provided business attributes.

Use this sequence to produce consistent, in-depth business case studies ready for teaching, analysis, or publication.