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AI PRODUCT · DESIGN ENGINEERINGCASE STUDY / 01

Amimi

Reliable, accessible relationship support for young couples, woven into everyday life.

MY ROLE

Product strategy, UX & design engineering

CONTEXT

Harvard MDE thesis · 2025–2026

TOOLS & PRACTICE

HCI · Full Stack Development · LangGraph AI Agent · Psychology

Amimi on TestFlight↗
Amimi

Reliable & accessible relationship support for young couple

01

Why

Love is a journey of learning and growth.

Many young couples lose connection amid life’s instability and a lack of guidance in navigating challenges. I wanted to help them develop the skills to understand themselves and each other.

Understanding the support gap

Couples aged 25–30 face complex relationship challenges, yet few have access to reliable guidance that helps them build communication, reflection, and relationship skills in everyday life.

50+couples interviewed, aged 25–30
5couples therapists and relationship coaches
“We experienced communication breakdowns and mismatched expectations that never seemed to get resolved.”Bob & Alice · Couple, age 26Bob and Alice couple persona
“Relationships are growth engines, not happiness machines.”Christopher Moon · Couples therapistChristopher Moon, couples therapist
02

How

Emotional support and relationship guidance, available in daily life.

The starting point was helping young couples navigate uncertainty, understand their experiences, and grow together. To find an entry point, I examined the barriers that keep people from getting help.

Why doesn’t couples therapy reach young adults?

The research presented in the project described a gap between young couples’ needs and the typical therapy audience: women aged 31+ and men aged 33+. It also identified an average wait of 2.68 years, sometimes up to six years, before seeking therapy.

Cost

$200–600 per session creates a significant barrier.

Commitment

Some couples give up after a single session.

Accessibility

Finding the right therapist takes time.

Stigma

Seeking therapy can feel like admitting that the relationship is in trouble.

Timing

Busy schedules and living in different cities make joint sessions difficult.

Testing demand through social media

I shared relationship education posts to test whether this need extended beyond interviews. The response suggested strong interest in accessible, reliable relationship guidance.

8,000+likes on top posts
200+community members in 48 hours
80%+of the audience aged 20–30

The posts generated hundreds of discussions. Women represented 95% of the audience, an early signal that would later inform how couples joined the product.

The opportunity: meet young couples’ desire to improve their relationships with support they can access and trust.

03

What

Meet Amimi: an emotionally intelligent relationship guide.

Amimi brings AI and evidence-informed relationship guidance into young couples’ daily connection. The product centers on the couple, offers a companion informed by therapists, and creates opportunities for proactive support.

PRODUCT BOUNDARY

Support, not therapy.

Amimi focuses on relationship education and everyday support, with referral to therapists when appropriate.

Finding the entry point

The project’s market research cites Harvard Business Review’s 2025 finding that therapy and companionship had become the leading AI use case. The comparison explored how a product dedicated to couples could combine capabilities scattered across existing categories.

Market landscape considered during product research
04

Learning through iterations

The product took shape through repeated encounters with real couples.

1physical prototype
5web MVPs
2iOS releases
120+couples tested
4pivots
May 2025
Physical prototype

Physical prototype

June 2025
MVP 1.0

MVP 1.0

August 2025
MVP 2.0

MVP 2.0

September 2025
MVP 3.0

MVP 3.0

Nov 2025–Jan 2026
MVP 4.0 / 5.0

MVP 4.0 / 5.0

February 2026
Beta 1.0

Beta 1.0

May 2026
Beta 2.0 · Co-design with therapists

Beta 2.0 · Co-design with therapists

Two decisions driven by user testing

01 / LEARNING FROM MVP 0–2

Make it personal
and mobile.

Users preferred mobile-first interactions: accessible, personal, and easy to fit into daily life.

DESIGN RESPONSE

Prioritize a mobile-first experience.

Physical + web prototypes
Mobile-first interaction
02 / LEARNING FROM MVP 3–5

Give the guide
a character.

Users connected more deeply with a character than a chatbot.

DESIGN RESPONSE

Give Amimi a warm, reflective presence—not just a conversational interface.

Chatbot interface
An expressive companion
BRINGING THE CHARACTER TO LIFE

A sunset-inspired cloud spirit, shaped by the Sage archetype.

Visual directionWarmth, reflection, and companionship.
Rive state-machine animations give Amimi emotional expression

From mediator to guide and companion

In MVP 2, partners communicated through Amimi. Later versions let people engage individually or together, matching a pattern observed in testing: one partner, often the woman, became the primary user and invited their partner after building trust.

Earlier approachAmimi as a Mediator (MVP 2): Users communicated through Amimi.
Updated approachAmimi as a Guide & Companion (MVP 3–5): Users could engage with Amimi individually or together with their partner.
05

Designing the support system

A therapist-informed framework.

Co-designed with couples therapists. Concepts tested with eight couples.

01

Support

Emotional support, when it matters.

Therapist-informed workflows
Curated knowledge · RAG + MCP
02

Advise

Reflect on needs and expectations.

Relationship Wheel
03

Analyze

Understand relationship patterns over time.

Attachment reflection
Support and education—not therapy.When more help is needed: referral to therapists.
Research & therapist insight

User feedback exposed three challenges: differentiating Amimi from general-purpose and companionship AI, balancing emotional warmth with evidence-based guidance, and finding the “golden window” for timely support.

I collaborated with couples therapists to develop interaction workflows and validated concepts with eight couples who participated in multiple rounds of MVP testing.

“The key is about finding the golden window, then providing meaningful guidance and support.”Dr. Fatima Aydin · Licensed Psychologist, MA

Translating therapeutic workflows into an AI agent

Working with couples therapists, I translated CBT case formulation into a LangGraph agent with RAG and MCP. Individual and joint sessions span 36 conversational states.

01

CBT case formulation

  1. Hearing the storyExploration
  2. Hypothesis generationEvaluation
  3. Further assessmentValidation
  4. Golden windowTiming for intervention
  5. Intervention
  6. Psychoeducation
02

Session orchestration

User
Individual sessionAmimi + user
Joint sessionAmimi + user + partner
03

LangGraph implementation

Individual session
Joint session

Scroll horizontally to follow the flow. Select either graph to inspect the conversational states.

The psychological models

The Relationship Wheel

Sixteen dimensions across five categories help partners compare perceptions and identify gaps in expectations, needs, and satisfaction. The categories cover the core relationship, shared life, individual growth, shared experiences, and social context.

Partners compare their perspectives on daily life and their relationship.

Attachment analysis

Attachment concepts give users language for reflection, then space to explore their experience in conversation—without assigning fixed personality labels.

01Understand patterns

A shared vocabulary for understanding relationship tendencies.

02Self-reflect

A brief self-check adds one private signal among many.

03Explore in conversation

Contextual reflections invite a deeper look at the user’s experience.

One signal, not a label.

Amimi also learns from communication patterns, emotional language, conflict behaviors, and relationship dynamics.

Engineering framework

Psychological models guide reasoning and decisions. Agentic workflows guide timely interventions. Therapist-curated retrieval and user data provide the system’s knowledge.

The psychological model, knowledge layer, and interaction workflows work together.

Software architecture

Mobile experience, backend services, AI orchestration, and data storage.

Frontend

Flutter (Dart) mobile app with Rive state-machine animation and interaction.

Pairing service

Java / Spring Boot manages pairing codes, partner relationships, and pair-related data.

Chat service

Java / Spring Boot handles messages, WebSocket communication, profiles, notifications, and coordination with the AI service.

AI service

Python / FastAPI provides conversation guidance, attachment analysis, daily suggestions, discussion prompts, and Relationship Wheel analysis using LangGraph, LangChain, OpenAI APIs, and FAISS.

Data & deployment

Firebase Authentication, Cloud Firestore, Firebase Storage, and Google Cloud Storage. The app is distributed through TestFlight, with backend services on Railway and Firebase / Google Cloud Platform.

06

The experience

Follow Alice and Bob’s journey with Amimi.

Onboarding & daily assessment
ALICE & BOB / 01

Onboarding & daily assessment

Alice joins Amimi and completes onboarding and the Relationship Wheel assessment, helping the system understand her emotional state and relationship dynamics.

Individual session
ALICE & BOB / 02

Individual session

Through one-on-one conversations, Amimi provides emotional support and relationship guidance. As trust grows, Alice invites Bob to join.

Proactive support & joint session
ALICE & BOB / 03

Proactive support & joint session

After a communication breakdown, Amimi initiates a joint session, helping Alice and Bob understand each other’s perspectives and underlying concerns.

Proactive suggestion
ALICE & BOB / 04

Proactive suggestion

Following the conversation, Amimi provides personalized reflections and recommendations to strengthen communication and relationship skills.

07

Testing & impact

The north star: better relationship understanding.

Pre- and post-engagement interviews tracked communication, emotional awareness, and partner understanding. Monthly progress was tracked through Amimi’s Relationship Wheel.

58couples onboarded in Beta 2.0’s first month
8interviewed couples reported meaningful improvements
70%+increase in Relationship Wheel scores after one month

Early Beta 2.0 findings. Interviewed couples reported improvements in communication, conflict resolution, and mutual understanding. These are product-testing results and self-reported scores, not clinical efficacy measures.

08

Behind the iterations

Usability testing

From MVP 5 through Beta 2.0, each iteration was evaluated with five users randomly selected from the waitlist.

Original usability testing matrix. Select the image to inspect the detail.
PRESENTATION & WORKING PROTOTYPES

Bringing Amimi into the room.

Physical, web, and mobile iterations—brought together.
Presenting the concept and design direction.
Discussing the project and its design decisions.
Working prototypes, side by side.
Beta 2.0, running on real devices.
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