I also built a high-fidelity native prototype of the Yango Pay app using Play. The prototype was designed to closely replicate real mobile interactions and product behavior, allowing key flows to be tested and presented with a much more realistic feel than a static design prototype

A real-device prototype catches things a static Figma flow hides — actual OS chrome, real tap targets, real transition timing. Worth the extra build time for anything you're testing on users.

24-Hour AI Workflow Blueprint — From Business Problem to Practical AI Plan

I developed a practical workflow-review system designed to help small businesses identify where AI can genuinely save time — and, just as importantly, where human judgement should remain in control.

The process starts with a structured business questionnaire covering repetitive tasks, existing software, time-consuming processes, desired improvements and areas that should not be automated.

That information is then analysed to identify bottlenecks, quick wins and realistic opportunities for AI assistance. The resulting Blueprint provides prioritised recommendations, practical workflows, suggested tools and prompts, implementation steps, and clear human/AI boundaries.

I also built and tested the supporting intake and delivery workflow so the complete review can be produced within 24 hours of receiving the required information.

The objective isn't “AI everywhere”. It's less repetitive work, clearer processes and practical improvements that a business can actually use.

This workflow was developed and internally tested as part of a live 30-day commercial AI experiment. No invented client results or hypothetical savings are presented here.