Case study

enterprise2024

MoodChanger.ai

Designed and developed an AI-powered mood tracking and wellness tool. Created calming UI with soft color transitions and built AI features that respond to emotional context with personalized suggestions.

Where I learned to build at scale and lead teams

Field notes

Role

Design Team Lead

Context

Flo Labs

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.

Enterprise Missions✦III-Class Dwarf

Evidence

Interface & evidence

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

Signature viewpreview

Story arc

How this shipped

Where I learned to build at scale and lead teamsThree beats: what pressed against the work, how the stack answered, and what changed once it was live.

I · Constraint

The brief

Creating a wellness app that feels supportive rather than clinical, with AI that understands emotional context.

II · Build

The craft

Designed calming UI with soft color transitions and empathetic micro-interactions. Built AI features that respond to mood patterns over time, offering personalized suggestions rather than generic advice.

III · Proof

What moved after launch

Warm design reduces app anxiety. AI personalization improves recommendation relevance. Part of Flo Labs wellness-focused product line.

Inventory

Stack & signals

Next.jsStrapiAI

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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Previous Project

CAIPO.ai

Designed and built an AI-powered platform as part of the Flo Labs 6-site ecosystem. Led frontend architecture, component integration, and UX for complex AI interactions.

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