KLKezia Lim

Proof of Work

A working record — one flagship product, and the experiments alongside it.

Flagship Case Study

BECOME

01

Product Hero

BECOME product banner
02

Overview & Role

An AI journal that helps people see who they are becoming while they are still living it. Founder, sole designer, and sole builder — from spec to shipped product.

03

The Challenge

People are changing constantly, but rarely see it while it's happening. Journals capture what happened, not what it means.

04

User Insight

The Conscious Seeker: late 20s to 40s, already doing some version of self-reflection, but missing a single place to make sense of it over time. Not a beginner at self-work — missing the mirror.

05

Product Principles

  • Quiet by default — no clutter, no dashboards on empty states.
  • Mobile-first — designed for the phone at the end of a long day.
  • Data visualisations only when there's data worth showing.
06

PRD to Live

📝

PRD Written

🌙

Built Nights & Weekends

🪞

Founder-Led Personal Use

🚀

Live

3 weeks from PRD

07

Product Walkthrough

Onboarding opens with the founder's own story, then straight into a first journal prompt. Write freely, BECOME reflects inline. After 5 entries, patterns surface. After 10, strengths and blind spots are framed gently. After 4 weeks, the Inner Compass becomes a living document.

08

AI Behaviour & Guardrails

The AI doesn't give advice or direction. It's designed as a wise, close friend who has been reading your journal for years — asking the question that unlocks something, and trusting you to find your own answer.

09

Deliberately Excluded

  • No social features — this isn't a place to perform reflection.
  • No habit tracking or productivity mechanics.
  • No onboarding quiz — the AI learns from what you write.
  • No therapist integrations — BECOME is not therapy.
10

Screens & Interactions

11

Product System

📓

Journal Entry

Next.js

AI Reflection

Claude API

🗄️

Data & Auth

Supabase

📊

Analytics

PostHog

12

Testing & Iteration

Founder-led personal testing happened before anyone else touched the product — including two days of after-hours debugging on the Inner Compass feature that ended with reading what it had written, and crying, because it was accurate.

13

Results & Current Goals

Near-term goal: 100 active users with weekly retention above 40%.

14

Lessons for Client Work

Every decision in BECOME — down to what the AI is not allowed to do — is a decision I now bring into client work: what makes people trust an AI, and what makes them abandon it.

15

Roadmap

A weekly reflection digest, guided prompts for specific life chapters, exporting your journey as a document, and eventually sharing entries with a trusted coach, therapist, or partner.

Government Transformation

AI for Public Services

Abstract, anonymised workflow diagram — no confidential details
Challenge
High-volume government services often require significant manual verification and repetitive citizen support.
Approach
Designed AI-assisted citizen journeys and multi-agent workflows that support document verification, decision support, and human-in-the-loop processes.
Impact
Showed how practical AI can improve service delivery while reducing administrative effort, with all project details intentionally anonymised.

Builder Experiments

Rapid AI Prototypes

From appointment assistants to workflow automation — practical AI concepts built and tested quickly.

AI Appointment Assistant

Challenge
I prefer booking appointments by text, but my regular nail and hair salons still relied on phone calls and manually updating appointment books. The process worked, but it created unnecessary back-and-forth for both customers and staff.
Approach
I designed and built an AI-powered booking assistant that lets customers book through chat. The assistant checks availability against Google Calendar, creates appointments automatically, and sends confirmation and reminder messages before each booking.
Impact
The prototype demonstrated how a familiar messaging experience could replace manual scheduling, reduce administrative effort, and create a smoother customer experience without changing how the business operates.

Conversational AI & Digital Assistants

Challenge
Whether helping residents report maintenance issues or helping customers find products, many everyday interactions were repetitive, manual and difficult to scale.
Approach
Over the past decade, I've designed chatbot and internal assistant experiences for facility management, insurance, customer retention and e-commerce, focusing on solving practical business problems rather than simply adding another chat interface.
Impact
Each solution improved access to services, automated repetitive interactions, and became part of broader digital transformation initiatives within the organisations.

A Few Examples

  • Facility Management Assistant — maintenance requests, air-conditioning servicing, booking technicians and service updates.
  • Customer Retention Chatbot — guided users through churn-saving journeys and personalised retention offers.
  • Smart Product Assistant — helped customers discover products and stock availability across e-commerce platforms.
  • Internal Service Assistant — streamlined employee support and common operational requests.

Rapid AI Innovation

Challenge
Public-sector teams need practical ways to explore AI before investing in full implementation.
Approach
Rapidly designed and built AI prototypes focused on citizen services, document intelligence, workflow automation, and internal decision support.
Impact
Validated product concepts quickly and demonstrated how human-centred AI could improve service delivery and operational efficiency.

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