Transform your validated concept into a working application. Demonstrate core functionality and gather real user feedback.
BUILD YOUR POC
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.
Head of Product at Way2B1
CEO of Foqal
VP Engineering at BeBop Technology
CEO & Co-Founder at Factually Health
Lead of Health Initiatives at Factually Health
Founder of el Grocer
CEO of Skylight
Head of Digital Product at Lykon
VP of Product at Kairos
Chief Technology Officer at MeetKairos
What is an AI-native PoC development?
AI-native PoC development (Proof-of-Concept) refers to a specialized service and methodology centered on the rapid creation of a working application or clickable, code-based demos that possess real functionality. This approach is fundamentally different from traditional prototyping because it is designed to handle the dynamic, non-deterministic nature of AI.
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.
