LUMO — AI Career Coach & Learning App 🤖✨

LUMO is an AI-powered career development app concept designed to make professional growth feel more personal, structured, and motivating.

The idea was to move away from the typical “serious career platform” look and create an experience that feels more like a supportive companion — with a friendly AI character guiding users through their next steps.

The product brings career planning and learning into one connected experience:

• personalized career recommendations based on the user’s profile; • profile strength and progress tracking; • curated courses and bite-sized lessons; • personalized career roadmaps with clear milestones; • skill building and opportunity discovery; • a friendly AI coach that makes the experience feel more human.

Visually, we balanced a clean product interface with soft gradients, warm pink accents, and a playful 3D AI character to give LUMO its own personality without distracting from the product itself.

The result is a career platform that turns a complex question — “What should I do next?” — into a clear and approachable journey. 🚀

Would you trust an AI coach to help plan your next career move? 👀

The idea of making a career app feel more like a companion than a platform is pretty smart. The 3D character fits that direction really well too.

Maqtorah is a two-sided marketplace for moving livestock, equipment, furniture basically anything bulky across Saudi Arabia. Customer posts a shipment, transporters bid on it, delivery gets tracked live. We worked with Ali Aldughairi on both apps: the customer side and the driver side.

A major part of the project involved building RTL support into the user interface. Not just flipping the layout, the actual hard part was mixed-direction content. Order IDs, IBANs, phone numbers, SAR amounts these are Latin strings sitting inside Arabic sentences, and RTL doesn't have a clean answer for that out of the box. We had to work out a rule that held up on a chat screen, a checkout screen, a tracking screen, all differently, and make sure none of them broke when the numbers got longer or the names got longer.

Then there was the density challenge. A single freight request has cargo type, route, receiver info, timing, vehicle needs a lot to carry on a 375px screen. A transporter scanning bids needs to decide in a few seconds whether something's worth their time, and a customer comparing five offers needs to trust the price without having to think too hard about it. Getting that hierarchy right took a few passes.

The two apps also needed to feel like they were built for completely different people. Customer app leans on trust profiles, vehicle photos, ETA, that kind of thing, all visible before you commit. Driver app is the opposite: stripped down for someone driving, checking their phone for two seconds at a time. We ended up with something we called Road Mode, where geofencing picks up most of the status changes automatically and the driver's really just tapping Loaded and Delivered.

By the end we had a full Figma design system for both apps, onboarding through payout, built so it can stretch to new cargo types or new regions later without starting over.

One thing I'm still chewing on: how much should a driver app automate away versus leave in the driver's hands? Curious where others land on that.

Less distraction always works best. Great project Yurii🔥