Now Enrolling · AI Agents & Prototyping · 3.5 Hours · Professor-Led
From idea to
working product
without waiting for engineering.
A practical 3.5-hour masterclass with Kseniia Melnikova for product managers, founders, designers and innovation leads who want to turn rough ideas into clickable, shareable prototypes using AI agents, Claude Design, Figma Make and rapid validation workflows.
Kseniia Melnikova
AI Product & Project Manager · Founder of Novati AI
7+ years building AI products end-to-end
Prototype-to-Validation Workflow
Idea
Riskiest assumption
AI Agent
Research + automation
Prototype
Claude Design / Figma Make
Validation
User feedback loop
Decision
Build · Iterate · Pivot
Idea → Validated Prototype
AI-native workflowGreat ideas die when building takes too long.
Many product managers, founders and innovation teams have strong ideas but lack the technical resources to test them quickly. Traditional product development requires engineering bandwidth, long cycles and expensive validation. AI agents and no-code prototyping tools change this workflow — but only if used with the right product discipline.
- Write a concept
- Wait for design resources
- Wait for engineering resources
- Build too much before validating
- Show users too late
- Spend weeks or months before learning
- Pressure-test the idea first
- Identify the riskiest assumption
- Use agents for research and execution
- Build the riskiest interaction only
- Validate with users or stakeholders fast
- Decide whether to expand, iterate, pivot or stop
From non-technical idea owner
to AI-powered product builder.
Before
You have product ideas but cannot build them quickly
You depend on engineering resources too early
You are unsure which AI tools are worth using
You create vague prototypes that do not answer clear questions
You struggle to validate ideas before investing
After
You can pressure-test ideas before building
You can use AI agents to accelerate research and execution
You can create a clickable prototype with Claude Design or Figma Make
You can define a validation experiment before showing the prototype
You can analyze feedback and make a clear product decision
You can repeat the workflow for future product ideas
Who this masterclass is for
This is not a coding course. This is not a generic prompt engineering course. This is a product execution workflow for people who need to turn ideas into testable prototypes fast.
Product Managers
Prototype and validate ideas without waiting for engineering sprints
Startup Founders
Test assumptions cheaply before committing resources to build
Designers
Build interactive AI-powered prototypes with no-code tools
Innovation Leads
Run fast validation cycles inside corporate teams
Business Operators
Test product ideas without depending on technical teams
Non-Tech Builders
Use AI as your build partner — from idea to prototype
Consultants
Prototype solutions for clients before full engagement
AI Explorers
Move beyond prompting to building and validating real prototypes
What you will learn
How agents actually work
Single-agent vs multi-agent systems
Choosing the right no-code AI tool
Connecting tools through MCP
Claude Design and Figma Make for prototyping
Pressure-testing an idea before building
Designing a validation experiment
Analyzing feedback and deciding next steps
4 modules · 3.5 hours
From Models to Agents: What Actually Changed
·Evolution from classic ML to chatbots, LLMs and agentsChatbots answer. LLMs generate. Agents act. Understand the three requirements that separate an agent from a model: tool use, multi-step planning and self-correction. Learn how agents compress the cost of completing real work.
How Agents Work Under the Hood
·ReAct loop, MCP and common failure modesWalk through the ReAct loop — reasoning, acting, observing, adjusting — using a real agent execution trace. Understand MCP (Model Context Protocol) and how agents connect to CRM, Google Drive, Figma, GitHub, Slack and databases. Recognize failure modes: hallucinated tool calls, context overflow and cascading errors.
Multi-Agent Systems: When You Actually Need Them
·Sequential, parallel and hierarchical orchestrationOne agent is enough for most tasks. Know exactly when multi-agent systems make sense: sequential, parallel and hierarchical orchestration. Understand the cost warning — multi-agent systems multiply token costs — and when the tradeoff is worth it.
Build your Prototype-to-Validation Workflow
Students finish the masterclass with a complete, actionable workflow — not notes.
Selected product idea or work project
Clear riskiest assumption identified
Tool choice for prototyping
First prototype prompt written
Clickable or shareable prototype direction
Validation experiment designed
Feedback analysis method
Decision framework for next steps
Learn from someone who has built AI products at real scale.
Kseniia brings the perspective of a product builder who has worked across global consumer AI, enterprise generative AI, B2B SaaS, recommendation systems and startup execution. Her experience spans Samsung Research, fintech and enterprise AI platforms, and her own BeautyTech startup, Novati AI.
This masterclass is built from the same practical workflow she applies in real product development: identify the riskiest assumption, use AI agents and no-code tools to build fast, validate with users, and make a clear decision before investing more resources.
Kseniia Melnikova
AI Product & Project Manager · Founder of Novati AI
Certificate of Completion
AI Agents & Prototyping for Non-Technical Builders
Students who complete the masterclass receive a FiscEdge Academy certificate of completion. The certificate is digitally verified, shareable on LinkedIn and downloadable as a PDF.
Frequently asked questions
Start the Masterclass
Your idea does not need to
wait for an engineering sprint.
Learn how to turn it into a prototype, test the riskiest assumption and decide what to do next — using AI agents, no-code tools and the discipline of product thinking.