Long story short
In 2025, I led the design of UI Bakery’s AI Chat Agent — transforming the platform from a traditional low-code builder into an AI-powered environment where users can build full internal apps from a single prompt. As the sole designer, I shaped every layer of the experience: the conversational flow, prompt-to-app generation, motion feedback system, data integration, and design-system evolution for AI features. I also created ready-to-ship motion prototypes with Claude to make AI interactions feel seamless and alive. The result — a fast, trustworthy AI experience that boosted activation x10 compared to the main platform.
Context
After establishing UI Bakery as a mature low-code platform, we started exploring how AI could radically speed up internal app creation.
We took it step by step — and I contributed as a designer to several key AI-powered releases:
2023
UI Bakery AI Assistant
Chat-based helper inside the builder that supports debugging, explains code, and connects to documentation.
April 2024
The first version of the AI Agent that could generate internal tools and admin panels from SQL data.
October 2025
UI Bakery Agent for internal app generation
A reworked version of the agent that generates complete internal tools from a single prompt — with data connections, logic, and simple UI animations included.
Bringing AI to production-grade output
Turned AI from a simple demo into a real builder that creates working apps with data, logic, and a clean interface.
Designing smooth AI response experience
Designed motion feedback and micro-animations to mask long AI responses, making the process feel smooth and conversational.
Evolving the design system
Updated the design system with new AI parts, cleaner visuals, and shared rules to keep the whole product consistent.
Fast-paced solo design
Worked as the only designer on the platform, AI Agent, and website — keeping high quality while moving fast.
Build internal apps faster — reducing manual setup to just minutes.
Automate logic and data workflows — without writing code.
Get instant value — with ready-to-use, well-designed UIs and a smooth onboarding experience.
Solutions
What was done and what benefits were achieved for each solution:
Customer feedback
Got regular feedback from users through support and product analytics.
User testing
Ran user tests, quick corridor tests, and customer interviews.
Behavioral analytics
Used PostHog to watch sessions and understand user behavior.
Business outcomes
Achieved x5 higher activation in AI Agent compared to main product: Low-code platform.
Delivered apps up to x15 faster, with an average of less than 1h from prompt to release.
Improved conversion and retention rates across the entire funnel after the AI launch.
Drove strong lead-to-activation growth, with over 75% of new users trying AI within 24 hours.
Evolved the brand from a low-code builder into a fully AI-powered development platform.
Strengthened UI Bakery’s position as a platform for intelligent app creation.
Design leadership impact
Led end-to-end design of the AI Agent: chat interface, prompt flow, motion & feedback system, and entire user journey.
Designed a motion and feedback system that turned AI response delays into smooth, natural animations —making the process feel faster, clearer, and more reliable and smooth.
Scaled the design system to support AI-generated logic and components, starting to merge the builder and AI layers.
Maintained high design quality while moving fast: 86% visual clarity and UX satisfaction.
Results, Reflections and Takeaways
Drove UI Bakery’s evolution from a theme tool to an AI-powered platform where teams build apps from a single prompt — achieving 10× higher activation than the low-code product.
The AI Chat Agent became a key milestone, turning the platform into a conversational AI tool that generates full apps in minutes.
I designed the end-to-end UX flow — from the first prompt to generation and feedback — keeping the process clear, interactive, and trustworthy.
This project proved that conversational UX is not about chat, but about behavior, timing, and trust.
While the low-code builder required long, predictable flows, here the challenge was to make a short interaction feel alive and confident.
Designing with AI became about turning user intent into real outcomes through clarity and responsive feedback.






