CASE STUDY / ONGOING

Portfolio

A portfolio system designed as a product — proof of how far you can go with coding basics, strong logic, and AI.

Next.jsTailwindFramer MotionTypeScript
CASE / CASE

Portfolio

01 / PROBLEM

Why it exists

I wanted to show more than a technology list: how I frame problems, plan architecture, and use AI as execution support.

02 / RESEARCH

Research & Requirements

Requirements include individual project URLs, responsiveness, performance, SEO, and honest storytelling about AI in my workflow.

03 / FEATURES

Key features

001

Design System

A cohesive, monochrome style inspired by technical systems manuals, keeping focus on structure and content.

002

Transparent Case Studies

Every project shows the problem, technical choices, constraints, and the role AI played in the process.

003

SEO & i18n

Full bilingual support (PL/EN) and search engine optimization built into the core architecture.

04 / ARCHITECTURE & AI

Architecture & logic challenges

LOGIC / ARCHITECTURE / AI

Keeping the story honest without overstating it: AI is part of the workflow, but product judgment and responsibility need to stay visible.

LESSONS LEARNED

A portfolio should show more than the visual result: it should reveal thinking, constraints, and execution quality.

05 / LINKS

Demo and code