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Projects

Projects

Case studies in AI products, automation and software — what each one is, why it exists, and how it works.

Flagship case studies

01AI travel applicationPrototype

From scattered travel notes to structured, shareable journeys.

Aura explores how generative AI can turn fragmented travel notes into structured, AI-curated itineraries — organised activities, geographic context, expert-style tips and generated destination artwork.

GeminiGoogle AI StudioReactTypeScriptTailwind CSS
How Aura works
  1. Travel notes
  2. Gemini interpretation
  3. Structured travel data
  4. Itinerary / Trail
  5. Maps, activities, tips
  6. Shareable journey
02Business + AI automationAutomation

Automating the repetitive work around selling, so people can spend more time on conversations.

A research-and-outreach workflow for business development: it identifies contacts at a target company, gathers business signals such as funding, leadership changes and expansion, has Gemini analyse them, and prepares a personalised first draft for a person to review.

Make.comApolloGemini 2.0 Flash
The workflow
  1. Target company
  2. Contact identification
  3. Business-signal research
  4. Funding · leadership · expansion
  5. Gemini analysis
  6. Personalised draft
  7. Human review
03Native Android appProduct

A personal scheduling and fitness problem, turned into a native Android product.

BUILD is a personal fitness and routine management app for Android. It brings workouts, nutrition, hydration, supplements, reminders and notes into one place — and adapts when schedules change.

KotlinJetpack ComposeMaterial 3MVVMRoom
App architecture
  1. User schedule
  2. App logic (MVVM)
  3. Room data
  4. Dynamic planning
  5. Reminders
Further work

KnowledgeTree

AI learning-path productPrototype

KnowledgeTree

Enter a subject, get a structured path to learn it.

KnowledgeTree breaks a subject into a structured learning path, with curated resources, an AI prompt mode, a links-and-resources mode and simplified “Explain Like I’m 5” explanations.

Read the case study
From subject to path
  1. Subject
  2. Topic decomposition
  3. Learning path
  4. Resources · prompts
  5. Simple explanations
Research & experiments

What I’m researching

Areas I follow closely — how AI changes software, search, marketing and business work.