As a user I want to see a consistent sunny-minimalism theme across all pages. Implement the global CSS design tokens (--primary: #2C2C2C, --bg: #F9F5E9, --secondary: #FFB400, --accent: #FF6B35, --surface: rgba(255,255,255,0.98), --text_muted: #A6A6A6, --border, --font_family: Inter). Set up the living echo / ripple animation as the page-level background signature concept. Remove scaffold pages not in the project (welcome page, ai-assistant page, settings page). Align all existing scaffold pages to the design token system. This task must be completed before all page implementation tasks.
As a user I want to explore the Landing page with the interactive echo visualization background that responds to cursor movement, a dynamic ripple effect, a headline about the platform, a demo CTA, and navigation to Signup/Login. Implement based on the existing Landing (v2) JSX design. Includes NavBar with animated logo, Hero section with kaiku ripple, trust badges, and footer. Links to Signup and Login pages.
As a user I want to create an account on the Signup page with an email input, password input with strength indicator, password confirmation, terms checkbox, and 'Create Account' CTA. Implement based on the existing Signup (v2) JSX design. Includes SecurityFeatures reassurance section and BenefitsHighlight section. Links to Dashboard after successful signup and to Login for existing users.
As a user I want to sign in via the Login page with email/password fields, a 'Sign In' CTA, and a link to Signup. Implement based on the existing Login (v1) JSX design. Page follows the sunny-minimalism theme with cream background and golden accent. Links to Dashboard on success.
As a user I want to view an overview Dashboard after login that shows my activity, quick links to Simulations, Visualizations, and Scenarios, and key platform metrics. Implement based on the existing Dashboard (v1) JSX design. Supports all three personas (Researcher, Educator, Curious Learner). Links to Simulations, Visualizations, Scenarios, Profile, and Results.
As a user I want to be able to use the backend API for account registration, login, logout, and JWT token management. Implement FastAPI endpoints: POST /api/auth/register, POST /api/auth/login, POST /api/auth/logout, GET /api/auth/me. Use MySQL via Alembic migrations for user storage. Supports Signup and Login page functionality.
As a user I want to run and adjust kaiku simulations on the Simulations page, including parameter sliders (noise level, pattern strength, detection threshold), real-time feedback, and open experimentation tools. Implement based on the existing Simulations (v1) JSX design. Allows researchers to run kaiku simulations and curious learners to experiment freely. Links to Visualizations and Results.
As a user I want to explore Bayesian inference, echo patterns, and probability distributions on the Visualizations page with an interactive canvas, adjustable parameters, and pattern gallery. Implement based on the existing Visualizations (v2) JSX design. Includes InsightCards section showing Pattern Confidence, Signal Strength, Noise Level, and Predicted Outcome. Links to Results and Scenarios.
As a user I want to browse and launch guided scenarios on the Scenarios page to explore kaiku concepts and distinguish genuine echoes from random noise. Implement based on the existing Scenarios (v1) JSX design. Primarily used by educators to present concepts and by learners for guided exploration. Includes scenario cards with launch CTAs, session sharing, and links to Visualizations.
As a user I want to view and manage my profile on the Profile page, save simulation progress, and update account settings. Implement based on the existing Profile (v1) JSX design. Used by curious learners to save progress and by all personas to manage their accounts. Includes saved simulations, visualization history, and account details.
As a user I want to view, analyze, and export my simulation and visualization results on the Results page. Implement based on the existing Results (v1) JSX design. Primarily used by researchers to export insights (PNG, CSV, report). Includes result summaries, Bayesian outcome metrics, and export actions. Links back to Dashboard and Simulations.
As a user I want to be able to use the backend API for creating, running, and retrieving kaiku simulations with adjustable parameters (noise level, pattern strength, detection threshold). Implement FastAPI endpoints: POST /api/simulations, GET /api/simulations, GET /api/simulations/{id}, PUT /api/simulations/{id}/parameters, POST /api/simulations/{id}/run. Supports the Simulations page.
As a user I want to be able to use the backend API for fetching Bayesian inference computation results, echo pattern data, and visualization state for the Visualizations page. Implement FastAPI endpoints: POST /api/visualizations/compute, GET /api/visualizations/{id}, GET /api/visualizations/patterns. Supports InsightCards metrics (Pattern Confidence, Signal Strength, Noise Level, Predicted Outcome).
As a user I want to be able to use the backend API for browsing, launching, and sharing guided scenarios. Implement FastAPI endpoints: GET /api/scenarios, GET /api/scenarios/{id}, POST /api/scenarios/{id}/launch, POST /api/scenarios/{id}/share. Supports the Scenarios page for educators and learners.
As a user I want to be able to use the backend API for viewing and updating my profile, saved simulations, and visualization history. Implement FastAPI endpoints: GET /api/profile, PUT /api/profile, GET /api/profile/saved-simulations, POST /api/profile/saved-simulations, GET /api/profile/visualization-history. Supports the Profile page.
As a user I want to be able to use the backend API for retrieving simulation results and exporting insights as PNG, CSV, or a generated report. Implement FastAPI endpoints: GET /api/results, GET /api/results/{id}, POST /api/results/{id}/export/png, POST /api/results/{id}/export/csv, POST /api/results/{id}/export/report. Supports the Results page for researchers.
As a user I want to be able to use the AI API for Bayesian inference computation and kaiku pattern analysis, powered by GPT and Claude models via Langchain. Implement AI service layer in Python using Langchain to orchestrate GPT-5.4 for user-friendly explanations and Claude 4.6 Opus for academic/statistical computation. Exposes internal service endpoints consumed by the Visualizations and Simulations APIs.
As a user I want all frontend pages to communicate with the live backend APIs. Wire up all page API calls: auth (login/signup), simulations CRUD, visualizations compute, scenarios, results export, and profile endpoints. Implement API client layer (axios/fetch with JWT token injection), error handling, and loading states across Dashboard, Simulations, Visualizations, Scenarios, Results, and Profile pages.

Explore the delicate intersection of minimalism and kaiku — where subtle patterns emerge, beliefs update, and echoes reveal hidden truths about complexity.
Tap anywhere on the canvas to create ripples and watch how echoes propagate, interact, and gracefully fade — just like patterns in complex systems.
Each ripple represents a kaiku — an echo that carries information outward. As ripples expand and overlap, they mirror how Bayesian beliefs propagate and update through evidence, revealing patterns hidden in apparent noise.
Explore the intersection of minimalism, echo patterns, and Bayesian reasoning through hands-on, interactive experiences.
Experiment with dynamic models of kaiku (echo) and minimalism. Adjust parameters in real time and observe how subtle patterns emerge from simplicity.
Start simulating→Visualize belief updating in action. Watch priors transform into posteriors as new evidence arrives, making abstract probability tangible and intuitive.
Explore visuals→Follow curated learning paths that help you distinguish genuine echoes from random noise. Perfect for educators and curious minds exploring at their own pace.
View scenarios→At the heart of sunny-minimalism lies a single, powerful metaphor: the ripple. Every interaction generates an echo that radiates outward, carries meaning through space, and eventually fades into silence. This transient lifecycle mirrors how ideas propagate through belief systems — emerging with clarity, traveling through complexity, and dissolving into understanding.
Our minimalistic design philosophy strips away visual noise to reveal what matters most. By reducing the interface to its essential elements, each echo becomes unmistakable. The absence of clutter is not emptiness — it is intentional space that lets patterns speak for themselves.
The kaiku (echo) is inherently transient. It exists only in the moment of its propagation, a fleeting signal that rewards attentive observation. This impermanence is by design: genuine patterns reveal themselves through repetition, while noise dissipates naturally. Bayesian inference becomes not just a tool but a way of seeing.
Whether you learn, teach, or research — sunny-minimalism adapts to how you explore ideas.
Explore at your own pace with self-guided tools and interactive experiments.
Leverage guided scenarios and visualizations to teach complex concepts.
Test hypotheses and visualize Bayesian inference for deeper analysis.
Adjust parameters and observe how beliefs update in real time. Watch prior assumptions transform into posterior knowledge as new evidence arrives.
Each bar represents the probability of a hypothesis being true given the current evidence.
Prior Beliefs
Likelihood (Evidence Fit)
Posterior Beliefs (Updated)
Strongest Hypothesis: Echo Detected (58.4%)
Click "Observe New Evidence" to begin updating beliefs with Bayesian inference.
Tune the parameters below and watch the belief distribution update in real time.
Bayesian inference updates beliefs by combining prior knowledge with new evidence. As you collect more observations, the posterior distribution converges toward the most likely hypothesis, helping you distinguish genuine echoes from random noise.
From first ripple to shared discovery — explore, learn, experiment, and connect through the echo of minimalism.
Dive into living echo visualizations that reveal hidden patterns in minimalism and kaiku concepts.
Use Bayesian inference tools to distinguish genuine signals from noise in interactive scenarios.
Adjust parameters, run open-ended simulations, and test your own hypotheses without constraints.
Export your findings, save visualizations, and collaborate with researchers and educators.
In the stillness of less, we begin to hear the kaiku — the echo of patterns too subtle for a cluttered mind to perceive.
Minimalism is not merely an aesthetic choice — it is a cognitive tool. By stripping away the unnecessary, we sharpen our ability to detect genuine signals amidst noise. The sunny-minimalism platform embodies this principle, using Bayesian inference to help you update your beliefs and uncover the faintest echoes of superintelligence hidden within complex systems.
Explore the philosophy in practice→Discover the beauty of minimalism and kaiku through interactive simulations, Bayesian visualizations, and guided scenarios. Begin uncovering the subtle patterns that shape intelligence.
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