ITPAL

Resolve IT Tickets Faster with AI agent

Our B2B SaaS helps IT teams triage incoming tickets, provide an AI suggestion solution, and prevent repetitive future tickets.

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Demostration

What I Did

I solo-built this MVP end-to-end — starting in July 2025 and covering every layer of the product lifecycle:

  • Research — Identified the problems through collecting on social media.
  • Design — Designed the full UI/UX, from information architecture and wireframes to high-fidelity prototypes and a lightweight design system.
  • Development — Built and shipped a workable MVP, including the AI chat interface, admin configuration panel, and backend integrations.
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Research

Ideation

The starting point was personal — I was searching for my ikigai. I asked myself three questions at the same time:

What am I good at?

What do users need?

What do I love?

Ikigai diagram
I collected their problem on social media
User need insight 1 User need insight 2
What do users need?
Top Demand

1. Reset password

2. Security

3. IT infrastructure

Design

Design system

I have tried to consistent the design, make MVP possible to scale

Summary

I want to systemize the prototype, I imported it back to figma, build a design system by AI, then implement to prototype.

Design system rules

A design system rule to generate tokens

Back-end

Update soon

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An HR solution replacing boring recruitment processes with modern workflows. Excel and chat tool are included in Submit.