Initializing Project Z ...
SwiftUI Native · iOS 17+ · No Account Required

Chart any ambition like a constellation.

Project Z turns a single goal into a 15-to-30 waypoint course, plotted entirely by a local AI engine on your phone. Nothing is uploaded, nothing is tracked — the chart never leaves your pocket.

0
Cloud Databases
0
Trackers Installed
15–30
Waypoints / Course
100%
On-Device
Three Instruments

Everything a serious course needs, nothing it doesn't.

Project Z isn't another checklist. It's a small set of instruments, each doing one job precisely.

Celestial Mapping

Give it any discipline — orbital mechanics or oil painting — and the on-device engine lays out an ordered course of 15 to 30 waypoints, shaped to that specific goal.

Absolute Privacy

A local-first sandbox, full stop. No cloud database, no telemetry, no account. Every waypoint you chart is owned, stored, and processed on your device alone.

An Instrument, Not a Toy

A quiet, high-precision interface for builders who notice detail — brass-toned panels, cartographic type, and motion tuned to feel like a real instrument.

Live Preview

Name a goal. Watch the chart take shape.

This is a simplified web preview of the on-device engine. Try one of your own, or pick a course below — the real app runs this entirely offline, on your phone.

projectz_engine.local — awaiting input Standing by
Compute location: on-device · Output range: 15–30 steps · Avg. generation: < 400ms
Engineering Schematic

Built native. Runs local. No exceptions.

Project Z is written entirely in SwiftUI with a sandboxed SwiftData layer — no third-party backend, no remote API for your data to pass through.

Layer 01 — Interface

SwiftUI Native Execution

Every view is rendered through Apple's native declarative framework — no WebView wrapper, no cross-platform compromise.

Render engineSwiftUI 5
Min. targetiOS 17.0
Frame budget≤ 8.3ms
Layer 02 — Memory

SwiftData Local Cache

Charts are parsed and persisted through a sandboxed on-device model layer, built for instantaneous read and write with zero lag.

Storage classSandboxed
Network calls0
Sync targetNone
Layer 03 — Engine

On-Device Generation Core

The chart engine runs its inference locally, ordering waypoints by dependency rather than difficulty alone.

Compute locationOn-device
Output range15–30 steps
Avg. generation< 400ms
Beta Cohort Intake & Support

Chart your next course tonight.

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