AI Product Engineering
Build practical AI features with governed data and outputs.
RAG / Agents / Guardrails

Figma Product Design
Figma MCP, agents, product flows, UI systems and build-ready interfaces.
For MCP handoff, responsive UI, design systems and dashboards.
Flows, states and layouts are clear before implementation.
Kavita Systems plans SaaS interfaces, dashboards, portals, websites and admin panels in Figma so flows, states and components are clear before implementation.
Figma is not treated as a place for polished screenshots only. We use it to clarify user flows, wireframes, screen structure, high-fidelity UI, prototypes, components, variants, responsive layouts and the notes developers need before building production screens.
The design work has to answer two practical questions: what users need to do, and what the development team needs to understand before building. That means planning real data, API responses, loading, empty, error, success and validation states, permissions, long text, missing content, mobile layouts and table behavior before those gaps reach production.
When a product will be built with React, Next.js, Vue, Nuxt, Inertia, Tailwind, ShadCN, PrimeVue, Storybook or a custom component system, the Figma file should make those constraints visible. This keeps the service focused on design while making components, breakpoints and UI behavior easier to implement.
We can join at New, Scaling, Support or Modernization stages: creating Figma from scratch, improving an existing file, auditing a messy product UI, building a design system, cleaning up dashboards, preparing responsive states, or redesigning an old website, portal or app interface without losing useful product logic. The result gives stakeholders a shared reference before code, QA and launch planning begin.
Kavita Systems treats design as part of the product, not just the visual layer. We consider UX flows, Figma structure, responsive behavior, component logic, API data, permissions, UI states and future support so the design is understandable for clients, users and developers.
Build practical AI features with governed data and outputs.
RAG / Agents / Guardrails
Design clear user flows, interfaces, and scalable UI systems.
UX UI / Figma / Design Systems
Structure reliable product data for scale and clear reporting.
Schemas / Events / Analytics
Protect product data with roles, policies, and secure flows.
Auth / Roles / Permissions
Improve speed, stability, and Core Web Vitals across products.
CWV / Caching / Profiling
Automate cloud delivery, recovery, environments, and uptime.
CI CD / Cloud / Recovery
Connect business tools, payments, and external data services.
CRM / Payments / Webhooks
Stabilize fragile systems before upgrades and safe migration.
Audit / Risk / Refactoring
UX UI Designer and Engineer helps with product screens: SaaS flows, portals, dashboards, forms, tables, responsive layouts, handoff and modernization.
Figma with frontend tokens helps design systems when many screens must stay consistent through product changes. The team gets reusable patterns that reduce design and frontend drift.
A Storybook design workflow suits SaaS products where accounts, roles and plan changes must stay clear as customer use grows. Teams get a structure they can support after launch.
For MVP launches, design systems in Figma help when early scope needs proof without locking in poor shortcuts. The team gets a launchable path where learning stays visible.
Typed component design is useful for AI dashboards when AI output needs context, review and a safe place to act. The benefit is a workspace for review and correction.
In analytics dashboards, Figma to React or Vue work keeps attention on metrics, filters and decisions people revisit often. That supports reports that guide decisions.
ShadCN and Tailwind patterns help internal admin tools when daily operations need less spreadsheet work and fewer manual handoffs. Managers and support teams get better visibility.
Frontend-ready UX design helps e-commerce platforms when catalog, checkout and support work affect revenue every day. The business gets a buying flow it can manage and improve.
Component library planning supports marketplaces by keeping participant roles, listings and moderation paths clear. That gives clearer expectations on both sides.
Use design tokens and states for content platforms when publishing roles, drafts and discovery affect retention. Teams get an editorial product that can grow cleanly.
Work on booking systems needs more than screens. With Storybook-backed UI work, calendar rules, customer notices and staff tools can turn into fewer scheduling conflicts.
UX flows with code tokens help company websites when positioning, forms and content updates shape first trust. The goal is a site the team can maintain without weakening the message.
Figma systems for delivery help legacy modernization when old screens still carry important business knowledge. The team gets a safer path to improve the product in stages.
Expert Insight from Kavita Systems
Use a Figma-focused UX Engineer and UI Designer when the product needs more than attractive screens: user flows, responsive layouts, component logic, real data states and handoff need to be clear before development decisions become expensive.
The work is especially useful when there is an idea but no screen structure, a Figma file that is not ready for engineering, a dashboard that grew without a system, or a product UI that looks inconsistent after several releases. It also helps when founders, product owners, marketers and developers all need the same picture of what the interface should do.
Why Figma matters as a product workspace. Figma can hold much more than finished mockups. We use pages, sections and named frames to separate flows, wireframes, high-fidelity screens, prototypes, components, variants, responsive layouts, documentation notes and handoff details. Auto layout, component properties, variables, modes and design tokens are useful when they make the system easier to maintain, not because every file needs every feature.
A good Figma file helps the team ask better questions earlier. What happens when a table has no rows? What if a user has permission to view but not edit? How does a long company name fit in a card? What does a failed upload look like? Where does mobile navigation move? These questions are product decisions, not decoration.
UX process in plain language. We start by understanding the product goal, users, roles and the tasks people need to complete. Then we map screen structure, user flows, navigation, content hierarchy, form logic, dashboard layout and important edge cases. Wireframes help test the shape of the product before the team spends time polishing visual details.
UX work should make the product easier to reason about. A client should be able to see the main path, the alternative path and what happens when something goes wrong. A developer should be able to understand what each screen depends on. A product owner should be able to decide what is in scope for the first release and what can wait.
UI design and design systems. UI is a system of decisions: typography, color, spacing, grids, buttons, inputs, selects, tables, cards, modals, navigation, badges, statuses, empty states, loading states, error states and success states. When these choices are organized as reusable components and variants, new screens can follow existing logic instead of inventing a new pattern every time.
Design systems do not need to be heavy to be useful. Even a small product benefits from clear button states, form behavior, page spacing, table rules and modal patterns. For larger SaaS platforms, portals and admin tools, the system helps prevent drift across teams and releases. It also makes future redesign or frontend refactoring less risky.
Design prepared for implementation. A UI Designer & UX Engineer prepares the interface with production work in mind. Screens are mapped to components. Variants are connected to UI states. Breakpoints are planned for desktop, tablet and mobile. Tables are checked against real data. Forms include validation, disabled fields, helper text, upload states and error messages. Filters, drawers, modals and navigation are described so developers do not have to guess behavior from a static image.
The design may be prepared for React, Next.js, Vue, Nuxt, Inertia.js, Tailwind CSS, ShadCN, PrimeVue, Storybook, TypeScript or custom component libraries. That does not mean this page is a code implementation service. It means the design is shaped so a frontend team can build it with fewer missing decisions.
Design context for different frontend modes. Design should respect how the product will be built, even when the designer is not implementing it. SSR pages need clear content hierarchy, crawlable sections, metadata areas and dynamic content blocks. SSG pages need reusable landing sections, documentation layouts, article structures and consistent templates. SPA or CSR areas need private navigation, filters, tables, forms, modals, account flows and role-based states. PWA-ready products need mobile-friendly actions, app-like navigation and offline or limited-connectivity states only where they help the workflow.
Responsive UI is product behavior. Responsive design is not shrinking a desktop screen. Navigation may change. Tables may become cards or stacked rows. Filters may move into drawers. Forms may need shorter groups. Touch targets must remain usable. Typography, spacing and grids need clear rules. A dashboard that works on desktop but hides the key action on tablet is not finished.
We plan desktop, tablet and mobile layouts with the actual task in mind. A public website may need readable content and strong calls to action. A portal may need mobile-friendly status checks. An admin panel may still be desktop-first, but it should not break when reviewed on a smaller screen. These decisions should be visible in Figma before implementation starts.
API data, roles and real states. Good product design uses realistic conditions. User roles, permissions, empty data, long text, missing images, loading, errors, validation messages, disabled actions, success confirmations, sorting, filtering, pagination, file uploads, notifications and permission-based visibility should be designed explicitly. Otherwise developers have to invent product behavior during implementation.
This is where UX engineering thinking helps. The interface is not only a layout. It is a set of states connected to data and user decisions. When those states are visible in the Figma file, estimates are clearer, QA has better scenarios and the final product feels less improvised.
Design handoff and documentation. Handoff is not sending a Figma link. It includes named pages, component notes, responsive guidance, state descriptions, user-flow links, developer comments and review sessions where needed. Figma MCP can bring design context into code tools, but developers verify behavior, edge cases and accessibility. Figma should stay aligned with Storybook or the component library instead of drifting away from implementation.
UI audit and modernization. Not every client starts from a blank file. Existing interfaces need audit, cleanup and phased modernization. We can review inconsistent screens, inventory components, simplify overloaded forms, improve dashboards, fix responsive gaps, clarify navigation and prepare old UI for frontend refactoring. Figma AI and agents can help explore directions for outdated interfaces, but product logic, accessibility and engineering limits still guide the decisions.
AI-assisted interfaces as UX scenarios. If the product includes AI-assisted flows, the design work is about user experience: prompt input, document upload, generated result previews, confidence cues, source context, loading states, fallback messages, review actions and human approval. Provider logic and model behavior belong outside this design page. AI screens are designed only when the product actually needs them.
How Kavita Systems chooses the design approach. We do not start with visual style. We review the business goal, users, roles, core tasks, content structure, frontend technology, data complexity, forms, dashboard logic, responsive needs, accessibility basics, existing design system, handoff needs and support after launch. Then we choose the right level of work: audit, flows, wireframes, prototype, high-fidelity UI, component library, design-system cleanup or implementation review.
Relevant tools and contexts may include Figma, FigJam for flows, Storybook, React, Next.js, Vue, Nuxt, Inertia.js, TypeScript, JavaScript, Tailwind CSS, ShadCN, PrimeVue, Vite, REST or GraphQL as data context, and WordPress, Statamic or a headless CMS as content context. The point is not to list technologies, but to design with the environment the product will actually use.
Kavita Systems workflow. We begin by understanding the product goal and users, then review the existing Figma file, website or product UI. From there we define flows and screen structure, create wireframes or improve existing layouts, build high-fidelity UI in Figma, create or refine components and variants, plan responsive layouts and real UI states, prepare implementation notes, review decisions with product and developers, and support future UI growth as the product changes.
If you want to hire a UX UI Designer and Engineer from Kavita Systems, we can help turn product ideas, messy screens or unfinished Figma files into build-ready interfaces, responsive layouts and a design system your team can actually build from.
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