Fluxy — Product Design Case Study /

RoleLead Product Designer
BriefIndependent concept
FocusProduct strategy · Agentic interaction · Prototyping
AppMobile commuting agent · iOS-first
Year2026
TL;DR
  • Reframed a top-up brief around commuting
  • Defined an agentic interaction model
  • Designed autonomy around consent
  • Prototyped three moments of trust
View prototype
The premise

I turned a narrow online top-up brief into Fluxy: an autonomous commuting agent that protects the passenger’s goal, prepares decisions and intervenes only when circumstances change.

Case study index
01

The mismatch

A top-up problem was only the visible edge of a much larger burden.

The opportunity was to remove the need to manage commuting at all.

Commuters still have to remember their balance, compare routes, monitor disruption and recover when the network changes.

The product question was not how to make one task faster, but which decisions software could responsibly take off the passenger’s plate.

The business bet

Fewer failure moments, not more app engagement.

For an operator, the value is operational: prevent low-balance failures, reduce avoidable support contacts and protect journey completion when the network changes.

02

From route planner to agent

The strategic move was a product that decides when interaction is necessary.

Goals stay stable. Context and recommendations can change.

Fluxy works in the background until the passenger’s objective is threatened. It observes context, evaluates options and prepares a recommendation.

The interface appears at the decision boundary — not before.

Goal

Arrive at work by 08:45

Context

Balance, disruption and timing change

Agent

Fluxy evaluates and prepares options

Boundary

Passenger confirms consequential actions

Interactive model

See how Fluxy reasons before it intervenes.

Start with a passenger goal, introduce a change in context and see how Fluxy prepares a recommendation while keeping the final decision explicit.

03

Designing responsible autonomy

Trust needed an interaction model, not a reassuring tone of voice.

Four rules used across the journey.

An agent can only reduce effort if people understand what it is doing, why it intervenes and where their control begins.

Invisible by default

Do not ask for attention when the goal remains achievable.

Explain the trigger

Every intervention reveals what changed.

Prepare, don’t presume

Consequential choices require consent.

Protect the goal

Optimise for the passenger’s objective.

Product leadership & AI process

I treated the agent as a policy system, not a chat surface.

I translated fare policy, accessibility, operations and passenger trust into explicit autonomy rules, then used AI to simulate edge cases and generate auditable decision traces.

The model accelerated scenario coverage; it did not define the boundaries.

04

Proving the model

Three moments tested whether autonomy could still feel understandable and controlled.

Daily brief

Build trust before disruption

A single morning view communicates the plan, confidence and anything worth knowing — without turning commuting into another dashboard.

One glance replaces four checks — balance, weather, timing and route confidence, before the passenger leaves home.

Smart recharge

Autonomy stops at payment

Fluxy monitors balance and recommends a recharge only when necessary. It prepares the action; the passenger authorises the transaction.

Fluxy stages the top-up and shows why — but the payment button stays with the passenger. This is the autonomy boundary made visible.

Goal

The objective survives change

When disruption threatens arrival, Fluxy explains what changed and recommends a new route in terms of the passenger’s priority.

5/6Understood why Fluxy intervened
6/6Expected payment confirmation
12Scenarios tested

The route can change without changing the passenger’s goal — the recommendation is explained in terms of what still matters.

What this was actually about

Good design isn’t about adding more interactions. It’s about removing the unnecessary ones.