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 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 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 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 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 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 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 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 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 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 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 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 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 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 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.

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