Loop Case Study | Agentify AI

The surface is the enemy: traffic, lights, waiting.

Every trip across a city pays the same tax. A ride-hailing app can summon a car in minutes, but the car still sits in the same traffic, stops at the same lights, and waits behind the same left turns as everyone else. The trip is slow because the surface is slow.

The concept had to make skipping all of it feel real, from choosing your car to the moment you drop underground and the city blurs past in neon.

The Solution

What Agentify AI Built

A playable ride-hailing concept in three layers: a six-screen journey, a hyperreal fleet, and a first-person ride beneath the traffic.

1. The Journey

Six mobile screens, door to door: set a destination, compare the surface crawl against the tunnel, choose a car, watch it dispatch on a neon map, ride, arrive.

2. The Fleet

The full lineup, rendered hyperreal in one locked art direction. Every car reads as one photo shoot, and each choice updates the fare and the ETA live.

3. The Ride

A first-person plunge through a seamless white tunnel, pink and blue neon streaking to warp, the surface miles you are skipping counting up on screen.

Inside the Product

The Actual Interface

Captured from the live product as it runs today: every screen is the playable interface, the fleet is generated under one locked art direction, and the tunnel ride is a real film.

The whole Loop journey across six mobile screens: set a destination, compare routes, choose a car, dispatch, ride the tunnel, arrive — The Whole Journey · Six mobile screens, door to door

Set, compare, choose, dispatch, ride, arrive: the full flow, designed mobile first.

The Loop fleet screen: five cars rendered hyperreal in one locked art direction, each with a live fare and ETA — The Fleet · Five cars, one shoot

The lineup generated hyperreal in one locked art direction, each car updating the fare and the ETA live.

The Surface vs Loop comparison screen: the red surface crawl against the glowing tunnel route with minutes saved as the hero number — Surface vs Loop · Minutes saved as the hero number

The red surface crawl against the glowing route, with the time you get back leading the screen.

The Loop dispatch screen: an autonomous car approaching the rider's pin on a neon map with arrival counting down — Dispatch to Door · No external map service

An autonomous car approaches your pin on a self-contained neon map, arrival counting down.

The Loop ride screen: a first-person view through a seamless white tunnel with pink and blue neon and live telemetry — Through the Tunnel · The ride film

A first-person ride through the tunnel with live telemetry layered on top.

The Loop ride moment: a seamless white tunnel streaking past in pink and blue neon as the speed climbs to warp

The Ride Moment

The city blurs past in neon.

The whole promise lives in one screen. You are underground, a seamless white tunnel streaking past in pink and blue, speed climbing from a standstill to warp, the surface miles you are skipping counting up. No traffic, no lights, no waiting.

127

MPH at the Tunnel Top

Lights Stopped At

The Film

Through the Loop, the Ride

A seamless white tunnel accelerating from a standstill to warp.

Poster frame of the Loop ride film: a seamless white tunnel lit in pink and blue neon

Tap to play · produced by Agentify AI

The Outcomes

What Shipped

Mobile Screens, Door to Door

Set, compare, choose, dispatch, ride, arrive: the whole journey in one continuous playable flow.

Cars, One Locked Art Direction

The full lineup generated under a single visual standard, so the fleet reads as one photo shoot.

Minutes Saved in the Demo Ride

The number the product leads with: the surface crawl against the tunnel, with the time you get back as the hero.

Skip the surface. The future is underground.