RAG vs Fine-Tuning: Choosing the Right LLM Approach for Your Product
Both RAG and fine-tuning improve LLM performance on your specific use case — but they solve different problems. Here's how to choose.
UI/UX Design$8K – $20K
UI/UX Design & Prototyping
User research, wireframes, design systems, and AI UX patterns
4–8w
Typical timeline
Figma
All deliverables
100%
Engineer-ready handover
AI UX
Conversational design
THE CHALLENGE
Sound familiar?
- You have engineering capacity but no one to lead UX decisions
- Your product has shipped but users say it is confusing and hard to use
- You need an AI interface designed — and AI UX is different from standard UX
- Your design is inconsistent across screens because there is no design system
- You have a Figma file but engineers can't build from it without constant questions
OUR APPROACH
How we solve it
We run structured design sprints — user research, information architecture, wireframes, hi-fi prototype, and a Figma component library engineers can implement without handholding. AI interfaces designed as first-class UX, not an afterthought.
What you receive
- User research synthesis: personas, journey maps, pain points
- Information architecture and user flow diagrams
- Low-fidelity wireframes for all key screens
- High-fidelity Figma prototype with interactions
- Design system with component library and usage guidelines
- Zeroheight or Storybook design documentation
- Handover notes and engineer Q&A session
OUTCOMES
What you walk away with
01
Engineering sprint starts without UX ambiguity
02
Consistent, professional interface across all product screens
03
AI interactions designed for clarity — users understand what the AI can and cannot do
04
Design system reduces future feature design time significantly
05
Validated prototype tested with real users before a line of code is written
OUR DIFFERENCE
Why UI/UX Design from Virinchi
AI-native design expertise
We design AI interfaces — streaming states, uncertainty, citations — as first-class UX. Not a button and a text field.
Engineer-ready deliverables
Design systems with tokens, usage guidelines, and component specs that engineers can build from without constant questions.
Domain-specific expertise
We've designed products for FinTech, HealthTech, eCommerce, and Industrial clients across four markets.
HOW IT WORKS
Our delivery process
01
User Research
Stakeholder interviews, user journey mapping, competitive analysis, and key problem framing.
02
Information Architecture
Navigation structure, content hierarchy, and user flow diagrams.
03
Wireframing
Low-fidelity wireframes for all key user journeys, reviewed with stakeholders.
04
Hi-Fi Design
Brand-aligned high-fidelity designs with interactions, states, and edge cases.
05
Design System & Handover
Component library, design tokens, usage guidelines, and engineer handover session.
Is this right for you?
Best suited for
- Startups building AI-native products that need intentional UX design
- Teams with engineers ready to build but no UX lead
- Products that have shipped but have poor user experience metrics
- Founders preparing for investment who need a polished product presentation
Not the right fit for
- Brand identity or marketing design work
- Products with a complete design system that only needs incremental screens
- Teams expecting a finished product — design work feeds into engineering
Engineering Stack
Built with the tools that matter
38 production-grade technologies — every one battle-tested in shipped products.
INVESTMENT
Engagement & pricing
$8K – $20K
4–8 weeks
- Fixed-scope, fixed-price — no hourly surprises
- All deliverables in Figma — universally accessible
- Engineer Q&A session included at handover
Ready to start?
Get a detailed proposal within 48 hours. No commitment required.
Frequently Asked Questions
Didn't find what you were searching for? Reach out to us at [email protected] and we'll assist you promptly.
A design system includes color tokens, typography scale, spacing system, component library (buttons, inputs, cards, navigation, etc.), usage guidelines, and handover documentation. Engineers can build without asking design questions for every component.
AI interfaces have unique challenges — streaming states, error handling, uncertainty communication, source attribution, and feedback collection. We design AI UX as first-class interactions, not standard form-and-button patterns.
Yes. We run usability testing sessions with real users using prototype validation tools. Testing happens before engineering starts — finding and fixing UX problems in Figma costs 10x less than fixing them in code.
FROM OUR CLIENTS
Built with teams who ship
The team took our AI concept from whiteboard to production in 10 weeks. The architecture they designed handles 10x our expected load with no issues.
Insights
From our engineering blog
A collection of detailed case studies showcasing our design process, problem-solving approach,and the impact of our user-focused solutions.
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ALSO IN MOBILE & WEB PLATFORMS
Other Mobile & Web Platforms services
iOS App Development
Swift, SwiftUI, and AI-powered iOS apps built for the App Store
Learn moreAndroid App Development
Kotlin, Jetpack Compose, and AI-integrated Android apps for the Play Store
Learn moreReact Native Development
iOS and Android from one codebase — without sacrificing performance
Learn moreWeb Application Development
Next.js web applications that score 95+ on Lighthouse
Learn moreProgressive Web Apps
Installable, offline-capable web apps with native-like experience
Learn moreGlobal Presence
One Studio. Four Markets.
Our engineering team is based in New Delhi. We work with clients across India, USA, UK, and UAE — async-first, with structured weekly delivery sessions in your time zone.
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