Stacked AI vs EigenAlpha

AI Stack Builder is a visual, hands-on learning app designed to help adults and beginners understand how modern artificial intelligence systems actually work—from the computer basics all the way up to running real AI models. Most AI education jumps straight into coding or abstract math. This app takes a different approach: it teaches the entire AI stack, layer by layer, using clear explanations, interactive maps, and practical system-building exercises. What you’ll learn • How CPUs, GPUs, RAM, and VRAM work together • What operating systems, drivers, and runtimes actually do • How CUDA, libraries, and frameworks fit into the AI stack • How containers and Docker are used in real AI deployments • How models, tokens, embeddings, and inference work • Why things break—and how to reason about common errors Key features Visual Learning Map Progress through a node-based learning map that shows how concepts connect. Each lesson unlocks naturally as you build understanding from the ground up. Stack Builder (Interactive) Assemble AI systems by placing components in the correct order. Learn dependencies, fix broken stacks, and understand why certain setups work—or fail. Short, Focused Lessons Each lesson is designed to be completed in just a few minutes, making it easy to learn consistently without overwhelm. Plain-English Explanations Concepts are explained in clear, practical language—no advanced math required. Built-in Dictionary Look up common AI terms, abbreviations, file types, and tools, all explained in context and linked to where they sit in the stack. Progress Tracking Track completed lessons, learning streaks, and unlocked topics as you advance. Who this app is for • Adults transitioning into tech or AI • Students learning modern computing systems • Developers who want a clearer mental model of AI infrastructure • Anyone curious about how AI software and hardware work together No prior AI experience is required. AI Stack Builder focuses on understanding systems, not hype—helping learners build real intuition for how modern AI is structured and used in practice.

EigenAlpha: Linear Algebra Core Skills Training Unlock the visual and spatial power of Linear Algebra. EigenAlpha is an interactive learning console designed for university students, engineers, and machine learning enthusiasts who want to develop a deep, intuitive, and mathematical grasp of vector spaces, matrices, and linear mappings. Skip rote memorization. EigenAlpha combines structured curriculum progression with stunning visual diagnostics to help you bridge the gap between abstract equations and geometric transformations. KEY FEATURES: Structured Course Progression: Move step-by-step through core Linear Algebra units—from basis vector spans and matrix dimensions to QR decompositions, eigenvalues, and Gram-Schmidt orthogonalization. Macro Skill Diagnostics: View your real-time accuracy across 6 core mathematical domains, including Matrix Arithmetic, Algorithmic Reduction (Gaussian Elimination), Spectral Decomposition, and Invariant Inspection. Applied Crossover Case Studies: Explore how abstract matrix concepts drive state-of-the-art modern technologies. Follow step-by-step reasoning progressions for real-world scenarios, including Google PageRank spectral convergence. Conceptual Diagrams & Pitfalls: Review custom high-contrast visuals mapping out transformations and eigenvalues. Learn to bypass common pitfalls and exam tips carefully curated by math researchers. Reset & Restore Control: Maintain full command over your learning log. Reset diagnostic progress to re-test your accuracy, and easily restore premium license entitlements across all your iOS devices. Accessibility Integrated: Fully optimized for Dynamic Type font scaling and screen reader VoiceOver narration. WHO IS IT FOR? - STEM Undergrads: Excel in college-level Linear Algebra courses and diagnostic exams. - AI & Machine Learning Developers: Understand the vector transformations, dimension spaces, and spectral decomposition behind neural networks and PCA. - 3D Developers & Graphics Engineers: Master translation, rotation, and projection matrices.