As a frontend developer, I want to implement the global theme, color tokens, typography, and shared layout structure so that all pages reflect the mellow-literature design system. This includes: Soft Blue (#6C9BCF), Light Gray (#F5F5F5), Deep Navy (#2A3D66), Warm Beige (#F2E6D9), Georgia serif headings, Open Sans body text, CSS custom properties, paper-texture overlay, and shared layout wrappers. Remove any scaffold pages not present in the design (welcome page, ai-assistant page if not in user flows). This task must be completed before all page implementation tasks.
As a backend developer, I want to implement a FastAPI endpoint to accept literature review uploads (text/file) so that users can submit content for AI analysis. Includes: file/text ingestion, metadata storage (user ID, title, language, timestamp UTC+8), validation, and trigger for AI analysis pipeline. Supports English and Mongolian.
As a backend developer, I want to implement FastAPI endpoints for sample reviews and side-by-side comparisons so that the Samples and Compare pages can fetch curated before/after content. Includes: GET /samples (with filters: discipline, search), GET /samples/{id}/analysis, GET /compare/{id} returning annotated before/after text pairs with highlights.
As a backend developer, I want to implement FastAPI endpoints to serve best practices library resources so that the Library page can display categorized academic writing guides. Includes: GET /library (with category/search filters), GET /library/{id} for full guide content, bilingual support (English/Mongolian), content stored in MySQL.
As a backend developer, I want to implement FastAPI admin endpoints for user management so that the Users page can list, search, filter, edit, suspend, and delete user accounts. Includes: GET /admin/users (paginated, with search/role/status filters), PUT /admin/users/{id} (edit role, status, notes, timezone), DELETE /admin/users/{id} (with confirmation), POST /admin/users (create new user), GET /admin/stats (total, active, new, suspended counts).
As a frontend developer, I want to implement the Landing page based on the existing JSX design (v2) so that guests and users see the interactive literature review journey timeline. Includes: NavBar, Hero with radial gradient, TrustBadges band, InteractiveTimeline signature section (scroll-driven text rewrite animation, annotations, parallax), FeatureHighlights 3-column grid, SideBySidePreview, HowItWorks steps, BestPracticesTeaser, Testimonials, CallToAction, Footer. Links to: Samples, Signup, Login pages. Fully responsive, mobile-first.
As a frontend developer, I want to implement the Login page based on the existing JSX design (v2) so that users and admins can sign in. Includes: centered card layout, email/password fields, 'Sign In' CTA, link to Signup, error states, and branding. Connects to: Admin Dashboard (admin), User Dashboard (user). Responsive for mobile.
As a frontend developer, I want to implement the Signup page based on the existing JSX design (v2) so that new users can create an account. Includes: full name, email, password fields, role selection, CTA, link to Login, inline validation. Connects from: Landing, Samples pages. Responsive for mobile.
As a frontend developer, I want to implement the Samples page based on the existing JSX design (v2) so that guests can browse annotated sample literature reviews. Includes: SamplesHero, FilterToolbar (discipline chips, sort, search), SamplesGrid (cards with before/after badge, role-colored discipline tags, 'View Analysis' and 'Compare' actions), FeaturedSample with annotated doc card and flaw callouts, AnalysisPreview score panel, CompareTeaser split card, SignupNudge CTA band, Footer. Links to: Analysis, Compare, Signup pages.
As a frontend developer, I want to implement the Compare page based on the existing JSX design (v2) so that users and guests can view side-by-side comparisons of poor vs. improved literature reviews. Includes: two-panel split layout (Before/After with color-coded headers), inline red strikethrough / green underline highlights, annotation tooltips, swap icon divider, filter/select controls to choose sample or uploaded review. Links from: Analysis, Samples pages.
As an AI engineer, I want to implement the AI analysis workflow using Langchain with GPT and Claude so that submitted literature reviews receive structured feedback on clarity, structure, and academic quality. Includes: Langchain orchestration, GPT for user-friendly feedback, Claude for academic analysis, output schema (scores 0-100 per dimension, annotated text, improvement suggestions), bilingual support (English/Mongolian).
As a backend developer, I want to implement FastAPI admin endpoints for content moderation so that the Content page can list flagged uploads and allow admins to approve, request revision, or remove content. Includes: GET /admin/content (paginated, filter by status: Analyzed/Pending/Flagged), PUT /admin/content/{id}/approve, PUT /admin/content/{id}/request-revision, DELETE /admin/content/{id}/remove, audit logging of moderation actions.
As a frontend developer, I want to implement the User Dashboard page based on the existing JSX design (v2) so that logged-in users can view and manage their literature reviews. Includes: NavBar, sidebar navigation, WelcomeBanner, stats cards (total reviews, analyses, saved, streak), ReviewsGrid with saved/analyzed cards, QuickActions (Upload, Compare, Library), RecentActivity feed. Links to: Upload, Analysis, Compare, Library pages. Responsive: sidebar collapses to hamburger drawer on mobile.
As a frontend developer, I want to implement the Admin Dashboard page based on the existing JSX design (v2) so that admins can view a platform overview. Includes: TopBar with breadcrumb, Sidebar with nav sections (Overview, Users, Content, Analytics, Settings), WelcomeBanner with quick actions, StatsOverview (4 stat cards with countUp), RecentUploads compact table, UserManagementTable with search/filter/pagination/delete modal, ContentModerationQueue kanban/list, ActivityFeed, AdminFooter. Fully responsive with sidebar drawer on mobile.
As a backend developer, I want to implement FastAPI endpoints to retrieve and store AI analysis results so that the Analysis page can display structured feedback. Includes: GET /analysis/{review_id} returning scores, annotations, feedback cards; POST to save/persist results; association with user account for revisit functionality.
As a frontend developer, I want to connect the Samples and Compare pages to the samples/compare API so that guests and users see real curated before/after content with filters. Includes: dynamic filter/search integration, paginated loading, analysis score display, side-by-side diff rendering from API data.
As a frontend developer, I want to implement the Upload page based on the existing JSX design (v2) so that users can submit literature reviews for AI analysis. Includes: drag-and-drop file upload zone, text paste area, review title/metadata fields, language selection (English/Mongolian), submission CTA with loading state. Connects from Dashboard, leads to Analysis page after submission.
As a frontend developer, I want to implement the Library (Best Practices) page based on the existing JSX design (v2) so that users can browse curated academic writing guides. Includes: LibraryHero, category filter chips (Structure, Citations, Clarity, Tone, etc.), resource cards grid (title, category tag, preview text, 'Read More' link), featured guide spotlight, search input. Links from: Dashboard; Connects to individual guide detail views.
As a frontend developer, I want to implement the Users page based on the existing JSX design (v2) so that admins can manage all user accounts. Includes: PageHeader with 'Add New User' and 'Export CSV', UserStatsBar (4 stat cards), UserFiltersToolbar (search, role filter, status filter, date range), UserTable (avatar, name, email, role badge, status toggle, reviews count, last active, action icons), UserEditDrawer (slide-in form with validation), ConfirmationModal for delete/suspend, StatusBar. Pagination controls. Mobile: card-list layout.
As a frontend developer, I want to implement the Content page based on the existing JSX design (v2) so that admins can review uploads and moderate flagged content. Includes: content uploads table (user, title, timestamp, status badge: Analyzed/Pending/Flagged), moderation queue with Approve/Request Revision/Remove actions, slide-out/animate-out on action, empty state illustration, filter/search controls. Links from: Admin Dashboard. Mobile: full-width stacked cards.
As a backend developer, I want to implement FastAPI endpoints to serve user dashboard data so that the Dashboard page can display a user's saved reviews, stats, and recent activity. Includes: GET /dashboard/stats (review count, analyses run, saved count), GET /dashboard/reviews (paginated list of user's saved/analyzed reviews), GET /dashboard/activity (recent actions feed, UTC+8 timestamps).
As a frontend developer, I want to implement bilingual support (English and Mongolian) across all pages so that users in Mongolia can use the platform in their native language. Includes: i18n library setup (react-i18next or similar), translation JSON files for all UI strings, language toggle in NavBar and Footer, locale-aware date/time formatting (UTC+8 default for Mongolian locale).
As a frontend developer, I want to implement route guards and role-based access control on the frontend so that admin pages are only accessible to admins, user dashboard is protected for authenticated users, and public pages (Landing, Samples, Compare) remain accessible to guests. Includes: auth context, protected route components, redirect logic on unauthorized access.
As a frontend developer, I want to implement the Analysis page based on the existing JSX design (v2) so that users can view detailed AI feedback on their submitted literature review. Includes: score overview panel (Clarity, Structure, Academic Quality bars), annotated text viewer with inline highlights, feedback cards per dimension, 'View Side-by-Side' CTA linking to Compare page, save/revisit action. Connects from Upload; links to Compare.
As a frontend developer, I want to connect the Upload page to the backend upload API so that user submissions are processed end-to-end. Includes: form submission handler, progress/loading states, error handling, redirect to Analysis page on success with review ID. Depends on Upload API and Upload page UI.
As a frontend developer, I want to connect the User Dashboard page to the dashboard data API so that users see their real saved reviews, stats counters, and activity feed. Includes: stats countUp from API, reviews grid from API with pagination, activity feed with relative timestamps (UTC+8).
As a frontend developer, I want to connect the Admin Dashboard, Users, and Content pages to their respective backend APIs so that admins see live data and can perform real CRUD operations. Includes: admin stats live data, user table pagination/search/filter wired to API, edit drawer save to API, delete confirmation wired to API, content moderation actions wired to API, activity feed live data.
As a frontend developer, I want to connect the Analysis page to the analysis results API so that users see real AI-generated feedback scores, annotations, and improvement suggestions. Includes: data fetching on page load, loading skeleton states, error boundary, save review action wired to backend.

Upload, analyze, and refine your academic writing with intelligent feedback and side-by-side comparisons.
Drag the slider to see how mellow·literature refines vague drafts into precise, citation-rich academic prose.
The original phrasing uses hedging words like "many" and "various" without providing specific evidence, weakening the academic rigor.
Claims of effectiveness lack quantitative evidence. "Works well" and "better" are subjective without measurable benchmarks.
The conclusion is a generic placeholder that adds no insight. It fails to specify what research is needed or why the area matters.
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Keep a history of every analysis and revision. Return to previous drafts at any time to track your progress and refine your work iteratively.
Write and analyze in both English and Mongolian. Our platform adapts its feedback engine to support academic conventions in either language.
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The authors talked about a lot of thingsvague related to the topic. Their research was kind of importantweak claim and contributed to the field in some waysimprecise.
Many studies have been doneno citations on this subject. The findings basically show that it worksinformal and further research might be needed or somethinguncertain.
The authors conducted a comprehensive meta-analysis of 42 peer-reviewed studiesspecific related to cognitive load theory. Their research established a statistically significant correlation (p < 0.01)precise and contributed to the field by introducing a novel framework for multimedia learning assessmentclear.
Prior empirical studies (Chen et al., 2022; Batbold & Erdenebat, 2023)cited examined this subject extensively. The findings demonstrate a 34% improvement in retention outcomes across three controlled experimentsevidence, warranting longitudinal studies to assess sustained impact over academic semestersactionable.
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Our AI engine evaluates clarity, structure, citations, and academic quality, highlighting areas that need attention.
Receive actionable feedback with side-by-side comparisons and best practice suggestions to elevate your writing.
Explore our hand-picked collection of writing guides designed to help you craft stronger, clearer literature reviews.
Learn how to build a coherent narrative that connects themes, identifies gaps, and guides the reader through your research landscape.
Read More→Best practices for integrating sources seamlessly, avoiding over-reliance on direct quotes, and maintaining scholarly credibility.
Read More→Techniques to eliminate vague language, strengthen your arguments, and communicate complex ideas in accessible academic prose.
Read More→Strike the right balance between formal rigor and engaging writing while maintaining objectivity throughout your review.
Read More→Access our complete collection of academic writing guides and best practices.
Explore All →See how researchers and students are elevating their literature reviews with mellow-literature.
mellow-literature completely transformed how I approach my thesis. The AI feedback pinpointed exactly where my arguments lacked clarity, and the side-by-side comparison showed me how to strengthen every paragraph.
As a PhD candidate, I struggled with structuring my literature reviews. This platform not only identified my weaknesses but taught me best practices through real examples. My supervisor noticed the improvement immediately.
The bilingual support is a game-changer for our students in Mongolia. Being able to analyze reviews in both English and Mongolian means no one gets left behind. The best practices library alone is worth it.
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