Dreamer
Dreamer: an AI-powered goal achievement app
I built Dreamer because standard to-do apps felt endless and AI chat plans had no reliable way to track real execution. Dreamer turns intention into action: users pick a few goals that matter, AI breaks them into manageable steps, and human-in-the-loop controls keep plans practical for the person using it.
I used modern product and behaviour design to make progress feel clear and motivating. Onboarding is highly personalised: users define their goal, share current progress, and finish with a tailored plan while seeing the problem/value story in context. The app stays intentionally simple with four core surfaces: dreams, weekly planning, action execution, and progress. High-share screens like before/after skills, streaks, and achievements were designed to improve both retention and marketability.
Outcomes
Clear product thesis: built for users who are ambitious but inconsistent, replacing endless to-do churn with goal-based execution and visible progress
Constrained system design: kept the product focused on a few meaningful goals, manageable daily actions, and momentum through proof
Practical AI layer: used AI for realism checks, tailored planning, time-aware action design, and adaptive scheduling with human controls in the loop
Activation-first onboarding: designed a personalised low-friction onboarding flow that explains value, reveals a tailored plan, and drives trial activation
Retention and growth built into UX: used streaks, achievements, level progression, and shareable before/after moments to support repeat use and organic growth
AI Planning Intelligence, Human in the Loop
I used AI across the full planning loop in a disciplined way, with human controls at each key step. It intellignetly generates goal areas, actions, and detailed action breakdowns, alongside estimated completion dates & AI generated before/after photos based on an uploaded picture of themselves. The system shapes to-dos and projected completion timelines around how much time the user can commit to daily, and users can directly edit or reject outputs when the plan is off. This keeps quality high today and improves over time as model capability and user feedback compound.
Onboarding and Activation as One System
I designed onboarding to be highly personalised and low cognitive load, while clearly showing the problem the app solves and the value it gives at each step. Users move from goal setup to a tailored plan reveal, see how it can improve their life, then into a clearly framed free trial that drives activation without breaking momentum.
Retention Loop Design for Daily Follow-Through
I used streaks, achievements, level-ups, overdue-aware reminders, and visible progress states so users could feel momentum and steady progress towards their goals, rather than feeling stuck in an endless to-do list or a bland AI chat flow. I also designed these screens to be highly shareable, which helped support organic growth.
Growth & Shareability Loops
Progress moments were made easy to share and easy to reuse across social and lifecycle touchpoints, so user progress could do the marketing work. A before/after format, increasingly common in UGC to demonstrate product value, was built directly into the Skills & Levels experience.
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