Answer your technical questions
Confirm if your core AI features work as expected with real code.
Integrate actual LLMs, voice, and vision APIs to test performance.
Receive a production-ready architecture blueprint.
A partner story: from Figma to a fully functional app
For Way2B1, we built a functional AI prototype that moved stakeholders beyond mockups and demonstrated clear product value. This demo eliminated ambiguity and forged a shared vision across the entire team.
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Case studies.
Our AI projects
For 5 years, we've been partnering with product teams to launch market-defining AI products. Our track record includes collaborations with unicorns.
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AI agent UI design that makes logistics automation feel human
This AI agent UI design reimagined logistics automation through a conversational interface, turning technical processes into intuitive interactions that anyone can control.
Sales intelligence
Hyper-personalized AI messaging
Hush... this is our ongoing project protected by the NDA, so we cannot share more details with you. Just be sure that our collaboration enabled us to maximize the potential of AI and deliver exceptional product design. We will definitely tell you more, you just have to wait a bit longer.
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Wealth management platform
Used Al-driven prototyping to validate business logic and speed up delivery for a multi-role wealth-management platform, turning high-stakes decisions into testable steps before release.
Desktop lie detector software
AI-driven sentiment analysis
An innovative company specializing in human behavior analysis and screenings sought Cieden's expertise to enhance their product. While their platform was groundbreaking, it lacked user-friendliness, with multiple desktop applications complicating the interface. We collaborated with our client to merge these applications into a singular, intuitive platform, expanding its functionality and introducing a standout feature: AI-driven sentiment analysis.
Meet your AI design team
Yuriy Mykhasyak
Founder, CEO, AI Consultant • Toronto, Canada
Anastasiya Mudryk
Head of Product Management • Toronto, Canada
Illia Suprun
UX Engineer • Kyiv, Ukraine
Volodymyr Merlenko
AI Product Designer • Volyn, Ukraine
Hear it straight from our partners.
Bruce Yang
Head of Product at Way2B1
Vlad Shlosberg
CEO of Foqal
They have a great sense of UX. They understand not only the business requirements of a product but also its creative vision.
Simran Butalia
VP Engineering at BeBop Technology
Lina Forcier
CEO & Co-Founder at Factually Health
Annie Do
Lead of Health Initiatives at Factually Health
The new design has contributed to a significant increase in conversions. The team is creative, helpful, and highly motivated, qualities that have led to an expanded role.
Nader Amiri
Founder of el Grocer
Their ability to work quickly and follow instructions is impressive. Following an effective workflow, Cieden meets deadlines and produces satisfying deliverables.
Michael Segal
CEO of Skylight
Lukasz Siemaszko
Head of Digital Product at Lykon
Victoria George
VP of Product at Kairos
Stéphane Zanoni
Chief Technology Officer at MeetKairos
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FAQ
How AI prototyping is different from UX prototyping?
Traditional UX prototyping was built for a predictable, "happy path". But AI is not deterministic. It creates unique outputs every time, and static screens just can't keep up. Instead of just showing what a feature looks like, AI prototyping helps you prove it actually works, With vlickable, code-based demos or Proof-of-Concept (PoC) apps with real functionality. Here’s a simple way to think about it: If traditional UX prototyping is like creating a detailed blueprint for a house, AI prototyping is like building a 3D model of that house with the electricity, plumbing, and HVAC already working.
How does AI make prototyping faster?
While UX prototyping typically relies on creating static mockups or low-fidelity wireframes in tools like Figma over a period that can take 1 to 5 weeks, AI prototyping focuses on producing clickable, code-based demos or Proof-of-Concept (PoC) apps with real functionality, potentially cutting the traditional time by up to 95%.
What firms specialize in AI-driven prototyping?
These agencies place generative AI at the very center of their design and prototyping services: Cieden, Lazarev.agency, The Gradient, Adam Fard Studio. To help you navigate the landscape, we’ve compiled a list of agencies that specialize in this space. You can review it here:
How to get your entire team prototyping with AI?
Getting your team to adopt AI prototyping requires a new mindset, new workflows, and new tools. The goal is simple: collapse your product cycle and get from idea to a functional, testable demo in a fraction of the time. Here’s componentrs of this playbook: mandate prototyping, ditch PRDs for prompt sets, define three "golden flows" (happy paths), three edge cases (critical failures), and your non-negotiables, aim to cut your 8-20+ week design cycles down to 4-8 weeks.
What are the best AI tools for rapid prototyping?
The best AI prototyping stack depends on the task, as different tools solve for different parts of the workflow from code generation to user flow simulation. For instance, tools like Cursor and v0.dev excel at accelerating front-end development from prompts, while large language models like Claude are powerful for brainstorming user flows and generating contextual copy at scale. True velocity, however, comes from integrating these tools into a cohesive design system, a process where an experienced partner can help you select and implement the right stack for your specific product challenges. A great place to start exploring is the AI in design webinar from Volodymyr Merlenko, a prominent voice in AI prototyping in Europe who creates prototypes literally every day at Cieden.