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Elizabeth Stein
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Case study

fullstack2023-2024

Portfolio-Pro

AI development learning platform with 269 lessons, 144 projects, custom MCP servers, Monaco Editor for live coding, subscription tiers with Stripe, and 87% test coverage. Quality Score: 9.3/10.

End-to-end solutions from database to deployment

Field notes

Role

Creator

Read order

Evidence first, then constraint → build → proof. Use the chapter rail to jump sections; orbit to adjacent work from the bottom of the case study.

Full-Stack Nebula·✦I-Class Giant
●LIVE★FEATURED
111 tests passing
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Evidence

Interface & evidence

A real surface area—not a mock. Scroll the story below for constraint, build, and outcome.

Signature viewwww.portfoliopro.dev
Portfolio-Pro application interface
Open Live Site
www.portfoliopro.dev

Story arc

How this shipped

End-to-end solutions from database to deploymentThree beats: what pressed against the work, how the stack answered, and what changed once it was live.

I · Constraint

The brief

Creating a comprehensive AI development learning platform with interactive coding, subscription management, and custom tooling.

II · Build

The craft

Built 269 lessons across 144 projects with Monaco Editor for live coding. Integrated custom MCP servers, Stripe subscriptions with multiple tiers, and achieved 87% test coverage with a 9.3/10 quality score.

III · Proof

What moved after launch

269 lessons, 144 projects, 87% test coverage. Quality score 9.3/10 from automated analysis. Live production platform with paying subscribers.

Signals

◆Signals & scale

0
Lessons
0
Projects
0
Test Coverage
0/10
Quality Score

Engine room

At a glance

0
Tests

Inventory

Stack & signals

Next.js 15SupabaseStripeOpenAIRadix UI
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Tell me what you're building

If you need someone who can own UI, systems, and AI integration without losing the plot—I'm listening. Contract, advisory, or full-time: we'll find the right shape.

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Full-stack survey creation platform with real-time analytics and drag-and-drop builder.

© 2026 Elizabeth Stein

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Built with Next.js, Three.js, and obsessive attention to detail.