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iOS - AI & Ideation

InsightUp

Turn scattered ideas into decisions: capture a thought on the go and get a concise AI report on feasibility, effort, time, resources, and suggested next steps.

Context

InsightUp was built at the Apple Developer Academy as my only solo project. Every other Academy app I worked on shipped in a five-person, cross-functional team using SCRUM — here I owned the full path from problem framing to implementation.

Problem

Young entrepreneurs often run on tight schedules and generate ideas throughout the day, but lack a lightweight way to organize, validate, and prioritize those ideas. Notes pile up; trade-offs stay fuzzy; momentum fades before anything ships.

Solution

InsightUp focuses the journey from spark to clarity: after the user records an idea, the app uses AI to produce a structured, fast readout — viability, estimated effort and time, possible resources, and actionable next steps — so abstract thoughts become something you can compare and act on.

My role & impact

As a solo owner I defined product strategy, UX flows, and visual language, then shipped the experience in Swift and SwiftUI so design intent stayed aligned with what users actually get in the app.

  • Product & UX: Framed the core loop (capture → AI insight → prioritization) around a real user pain, not feature sprawl.
  • Design execution: Built interfaces and flows that stay clear under time pressure — the primary use case is “busy, on the move.”
  • AI in the product: Integrated AI as a decision support layer (analysis and suggestions), not a gimmick.
  • End-to-end delivery: Connected research, UI, and code so trade-offs were explicit and the shipped app reflected the original vision.

Process & stack

  • Design & prototyping: Figma — flows, UI, and iteration before implementation.
  • Build: Swift, SwiftUI (primary), UIKit where needed for specific behaviors.
  • Ways of working: Academy SCRUM cadence for other projects; here, self-directed milestones with the same rigor on scope and clarity.