Kseniia Melnikova
AI Product & Project Manager
Main Masterclass
AI Agents & Prototyping for Non-Technical Builders
Go from rough idea to clickable prototype using AI agents, Claude Design, Figma Make and no-code validation workflows.
"Helping non-technical builders turn ideas into working AI-powered prototypes using agents, no-code tools and rapid validation."
AI & Automation
Background
Kseniia Melnikova is an AI Product and Project Manager with over seven years of international experience building AI products end-to-end. She started her career at Samsung Research, managing AI-based consumer solutions including face recognition and liveness detection for mobile products used at global scale.
She later worked across AI B2B SaaS, recommendation systems, enterprise generative AI and digital transformation, leading cross-functional teams across product, data, engineering and design. Her experience includes AI products adopted by thousands of enterprise users, onboarding improvements that increased trial-to-paid conversion, and the development of AI personalization and recommendation logic.
Today, Kseniia is the founder of Novati AI, a BeautyTech startup building an AI-powered recommendation system for skincare, fragrance and dermocosmetics. Her work combines AI product management, rapid prototyping, customer discovery, UX research, market validation and go-to-market strategy.
Through her FiscEdge Academy masterclass, she teaches the workflow she applies in real startup execution: turning ideas into testable prototypes using AI agents, no-code tools and fast validation methods.
Education
International MBA
Rome Business School
Rome, Italy
MS Computer Science
University
International
Entrepreneurship Program
Babson College
USA
Career
Founder & Product Lead
CurrentNovati AI
Digital Innovation Lead
SoftwareOne
AI Product & Project Manager
Scaletorch
AI Project Manager
Samsung Research
Signature Framework
Idea → Prototype Workflow
A strategic framework developed over 25 years of cross-continental work. It identifies the structural gaps between how companies think locally and how markets behave globally — then builds the bridge. Applied across 3 continents and dozens of industries.
Market Intelligence
Understanding local rules before entering
Relationship Architecture
Building trust across cultural gaps
Adaptive Strategy
Adjusting the model without losing the direction
Masterclass
AI Agents & Prototyping for Non-Technical Builders
Go from rough idea to clickable prototype using AI agents, Claude Design, Figma Make and no-code validation workflows.
A practical masterclass for product managers, founders, designers and innovation leads who want to prototype and validate AI-powered product ideas without relying on a large engineering team.
Who is this for
- Product managers who want to prototype ideas without waiting for engineering
- Startup founders who need to validate ideas fast and cheaply
- Designers who want to build interactive prototypes using AI tools
- Innovation leads exploring AI-native workflows inside companies
- Business operators and consultants who want to test product ideas
- Non-technical builders who are ready to use AI as a build partner
What you'll learn
- How AI agents actually work and when to use them
- When to use single-agent vs multi-agent systems
- How to choose the right no-code AI tool for the job
- How to connect tools through MCP
- How to use Claude Design and Figma Make for prototyping
- How to pressure-test an idea before building
- How to design a validation experiment and analyze feedback
- How to make a clear product decision after validation
Skills acquired
Masterclass details
Tools & Frameworks
Program
Curriculum overview
Module 1 — Agent Concepts You Actually Need
From models to agents: what changed, how the ReAct loop works, MCP, and when multi-agent systems are worth it.
Module 2 — No-Code Agent Tools in Practice
The tool landscape, daily workflow automation, and how to connect tools through MCP connectors.
Module 3 — From Idea to Validated Prototype
The full 5-step workflow: sharpen the idea, map the landscape, build the riskiest interaction, design the experiment, run it and decide.
Module 4 — Critique Session and Next Steps
Share your prototype, answer the three key questions, and leave with a concrete action plan.
Final Project
A complete prototype-to-validation workflow: selected product idea, riskiest assumption, tool choice, first prototype prompt, validation experiment, feedback analysis method and decision framework.
Certificate of Completion
Earn a verified certificate
What it proves
Successful completion of all masterclass modules and the final project, verified against your course ID and profile.
When it's issued
Automatically generated after you complete the final module and submit your project. No manual request needed.
How to share it
Your certificate includes a unique verification link. Share it on LinkedIn, your portfolio, or with employers.
FAQ
Common questions
"Helping non-technical builders turn ideas into working AI-powered prototypes using agents, no-code tools and rapid validation."
— Kseniia Melnikova
Ready to start AI Agents & Prototyping for Non-Technical Builders?
Leave with a complete prototype-to-validation workflow: a selected product idea, a clear riskiest assumption, a tool choice, a first prototype prompt, a validation experiment and a decision framework for next steps.