Understand agents
Know what agents can do, where they fail and when a simpler workflow is the better choice.
Professor-led masterclassEnrollment open
Taught by Kseniia MelnikovaTurn an idea into evidence
Turn an idea into evidence
before you build it.
A no-code workflow for researching, prototyping and validating AI-powered product ideas with speed and discipline.
3.25 hours·Beginner level·Certificate included
$399 · one-time
3.25 hours
Focused video learning
11 lessons
Concepts through critique
1 prototype
Built around your idea
No code
Designed for builders
Masterclass Introduction
Why Kseniia Melnikova Teaches This Masterclass
Watch a brief introduction from Kseniia Melnikova on what you will build and how this masterclass works.
Kseniia Melnikova
Founder · Novati AI
The outcome
Replace abstract ideas with prototypes people can react to.
You will learn when agents are useful, how to connect the right tools and how to test the riskiest assumption before committing engineering time or budget.
Research faster
Use AI to map users, competitors and assumptions before you decide what to prototype.
Prompt prototypes precisely
Write instructions for Claude Design, Figma Make and no-code tools that produce testable interactions.
Design a real validation test
Define the assumption, audience, method and decision rule before collecting reactions.
Synthesize feedback
Turn qualitative user input into patterns, priorities and concrete changes.
Make the next decision
Use evidence to expand, iterate, pivot, narrow or stop the idea.
Who it is for
Built for people responsible for what happens next.
01
Founders
Testing an idea before committing scarce product and engineering resources.
02
Product and innovation leads
Bringing stakeholders a working artifact and evidence instead of another abstract deck.
03
Non-technical builders
Using modern AI tools to move from question to prototype without becoming an engineer.
Masterclass intro
Start here: what you will build in this masterclass.
A walkthrough of the applied project, the tools you will use and the decision you leave with.
Curriculum
A clear path from understanding to execution.
Each section earns its place by moving the applied project forward. No oversized content library and no filler lessons.
01.1
From models to agents
Understand tool use, multi-step planning and self-correction without unnecessary technical abstraction.
01.2
How agents work
Follow the reason-act-observe loop and recognize the failure modes that matter in practice.
01.3
When to use multiple agents
Compare sequential, parallel and hierarchical systems—and understand their cost.
Your applied project
Leave with a working prototype and a validation decision.
The output is built around your own idea, so the work continues after the final lesson instead of ending with theory.
Riskiest assumption
Competitive map
Working prototype
Validation plan
Feedback synthesis
Next-step decision
Industry Economics & Market Benchmark
The Commercial Value of Fast AI Prototyping.
Real market rates for AI prototype sprints, fractional builders and the capital saved by validating before full-scale engineering.
Agency / Freelance Sprint Rate
$4,500 – $15,000
Clickable AI Prototype Sprint
Standard market fee charged by rapid AI prototyping studios to build and validate interactive MVPs for startups.
Fractional Builder Hourly Rate
$100 – $225 / hr
AI Automation & No-Code Specialist
Current market hourly billing range for practitioners building automated workflows with Claude, Figma Make and MCP tools.
Capital & Time Efficiency
48 Hours vs 4 Months
Time-to-Evidence Advantage
Put real prototypes in front of customers in days, saving $30k–$80k in premature full-stack development cycles.
MARKET DYNAMICS 01
Evidence Before Engineering
Founders and innovation leads who prototype with AI agents validate user demand and willingness-to-pay before spending engineering budget.
MARKET DYNAMICS 02
The Non-Technical Advantage
Product designers, consultants and operators are independently launching functional AI tools without needing engineering bottlenecks.
MARKET DYNAMICS 03
Zero Ambiguity Specifications
An interactive, clickable slice removes 90% of miscommunication when handing requirements over to software engineers or investors.
* Note: Market benchmarks compiled from Upwork Pro, Y Combinator founder surveys, Indie Hackers and agency talent reports. Provided strictly for market context; individual outcomes depend on prior skills, portfolio and market execution.
Kseniia Melnikova
Your professor
Learn from someone doing the work.
An AI product and project manager helping non-technical builders turn ideas into working prototypes through agents, no-code tools and rapid validation.
AI product builder · Founder · No-code prototyping expert
Founder · Novati AI
Former AI PM · Samsung Research
Enterprise AI · 5,000+ users
Digital MVP 2025 Hackathon Winner
Included in Enrollment · 24/7 AI Co-Pilot
Trained on This Masterclass: Meet LUNA
You don't build alone. Every masterclass enrollment includes 24/7 access to LUNA—our cognitive AI agent calibrated on Kseniia Melnikova's frameworks to answer technical questions, calculate token margins, and review your applied project blueprint.
Blueprint Auditing
Pressure-test your deliverables against the masterclass evaluation rubrics.
24/7 Q&A
Instant answers and code debugging across every module on your schedule.
Math & Token Economics
Calculate exact inference margins, latency budgets, and SLA constraints.
Zero Token Fees
Included directly in your tuition with lifetime student access.
Make it specific
Add a private 1-on-1 when your project needs direct feedback.
Work with a professor on your actual product, decision or next step after learning the shared method.
Questions
Know exactly what you are choosing.
Secure enrollment through Fiscedge Academy
Start when you are ready
Put the method to work on something real.
Learn at your own pace, keep lifetime access and finish with an applied project you can continue using.
Self-pacedCertificate includedLifetime access