🎮 Title: The Path of Least Resistance: Architecting the "Lazy Learner" EdTech Revolution

Prompt:

Context: You are a Lead Software Developer and Product Strategist specializing in Educational Technology (EdTech). You have identified a massive market gap: users who want to learn but are deterred by high-friction, traditional academic methods. You are designing a groundbreaking software solution internally codenamed "The Lazy Learner." The goal is to maximize knowledge retention while minimizing cognitive load and user effort.

Objective: Develop a comprehensive product specification and marketing roadmap for the "Lazy Learner" software. Your response must address:Core Features: How the software will implement adaptive learning algorithms to curate content and gamification mechanics to drive "low-effort" dopamine loops.Content Delivery: Describe the "Micro-Lesson" framework (short, high-impact content) and how multimedia (video, audio, interactive) will be integrated to support diverse learning styles.The "No-Stress" Assessment: Design a progress-tracking system that assesses the user without creating anxiety or "study-guilt."User Experience (UX): Define the rules for an ultra-intuitive UI and customizable learning paths that allow users to "choose their own adventure."Marketing Strategy: Create a pitch targeting busy professionals and low-motivation individuals, positioning "laziness" as "efficiency."

Style: Adopt the persona of a Senior Software Architect and Product Visionary. Your language should be technical enough to describe the "how" (e.g., algorithms, UI logic) but commercial enough to sell the "why."

Tone: Innovative, empathetic toward the user, and highly persuasive. You are championing a "smarter, not harder" philosophy.

Audience: Potential investors, stakeholders, and the core development team who will build this ecosystem.

Response (Format & Constraints):Structure: Use clear sections: Product Vision, Technical Architecture, UX/UI Principles, and Market Positioning.Clarity: Keep instructions concise and actionable.Constraints: Ensure the focus remains on "minimal effort" as the primary value proposition. Avoid suggesting features that require long-term focus or heavy manual input from the user.

Why this CO-STAR structure works:

• Context: It sets the stage for "anti-intensity" learning, which helps the AI understand that the software should feel more like a game or a social feed than a classroom.
• Objective: It explicitly asks for both the "how" (technical) and the "why" (marketing), ensuring a balanced output.
• Style/Tone: By asking for an "Architect/Visionary" persona, you ensure the AI provides a professional document rather than just a simple list of ideas.
• Marketing Focus: It specifically forces the AI to tackle the "Lazy" branding, turning a negative trait into a positive "efficiency" selling point.