Work/01Mobile app / AI-assisted product

Love2Play — UX Case Study

Designing an intimate, AI-assisted mobile experience for couples

Client: Love2Play
Role: Product Design · UX/UI · Product Strategy · AI-assisted Development
Sector: Consumer / Intimacy & Wellbeing
Year: 2025

Context

Independent iOS product for couples, built around guided intimacy and audio-first content.

Constraint

The experience needed to feel premium and emotionally safe while avoiding accounts, profiles and heavy setup.

My move

Defined the product strategy, UX flows, monetisation model, multilingual content system and AI-assisted SwiftUI build.

Outcome

Published on the App Store as a production app with a scalable foundation for future AI content pipelines.

/ 01 Problem

An iOS app that helps couples explore intimacy through guided, personalized experiences — interactive storytelling, audio narration and premium content, designed and shipped almost entirely through AI-assisted workflows by a non-developer.

01
Most couples apps feel either clinical, gamified or explicit — leaving a gap for something premium, mature and emotionally safe.
02
Delivering deep personalization without forcing accounts, profiles or cloud sign-up.
03
Designing an audio-first experience with chapter navigation, offline playback and ambient inserts.
04
Monetising through premium content without aggressive paywalls.
05
Shipping a complex, subscription-based, multilingual iOS app primarily through AI-assisted workflows, with no traditional engineering background.

/ 02 Responsibilities

—Product vision and UX strategy
—Interaction, UI and information architecture
—Onboarding, personalization and playback flows
—Premium logic and monetisation design
—Multilingual content architecture (EN / ES / PL)
—AI prompting workflows and AI-assisted SwiftUI implementation

/ 03 Approach & process

01
Frictionless onboarding — names only, no accounts — feeding personalization across text and narration.
02
Audio-first detail screens with sticky controls, chapter jumping and offline downloads.
03
Soft-gated premium model inspired by streaming services rather than mobile paywalls.
04
JSON-driven, translation-safe content architecture with language-aware filtering from day one.
05
Multi-model AI workflow (ChatGPT, Claude, Grok) for architecture, SwiftUI generation, debugging and edge cases.

/ 04 AI-assisted development

From quick mockup to code

A rough Figma direction moved quickly into a working SwiftUI product with AI-assisted implementation, iteration and polish.

Hover or tap the phone to reveal the published app.

Mockup

Quick Figma mockup — scenario card, navigation and early content hierarchy.

Published

Published app — personalized greeting, premium story surface and scalable content rails.

Figma mockup

Published app

/ 05 Selected screens

Onboarding storytelling — dares, curated stories and AI ideation as core pillars.

Fun & Games — category-based discovery across truth, dare, foreplay and roleplay.

AI composer — generate new ideas, challenges or questions with a Sparks-based credit system.

Story detail — author attribution, swap-roles toggle and chapter intro.

Personalised playback — intensity, hearts and name-injected narration.

Feature overview — truth & dare, roleplay, relationship care and premium narration.

Selected work shown under NDA. Full walk-throughs available on request.

/ 06 Outcome

→
Launched on the App Store as a fully functional production app.
→
Validated that emotionally designed niche products can ship without a large engineering team.
→
Became a foundation for further work on local LLMs, AI content pipelines and personalized narration systems.

iOSSwiftUIAI-assistedAudioSubscriptionMultilingual