I've built an iOS app with a novel approach to AI safety: a deterministic, pre-inference validation layer called Newton Engine.
Instead of relying on the LLM to self-moderate, Newton validates every prompt BEFORE it reaches the model. It uses shape theory and semantic analysis to detect:
• Corrosive frames (self-harm language patterns) • Logical contradictions (requests that undermine themselves) • Delegation attempts (asking AI to make human decisions) • Jailbreak patterns (prompt injection, role-play escapes) • Hallucination triggers (requests for fabricated citations)
The system achieves a 96% adversarial catch rate across 847 test cases, with zero false positives on benign prompts.
Key technical details: • Pure Swift/SwiftUI, no external dependencies • Runs entirely on-device (no server calls for validation) • Deterministic (same input always produces same output) • Auditable (full trace logging for every validation)
I'm preparing to submit to the App Store and wanted to ask:
- Are there specific App Review guidelines I should reference for AI safety claims?
- Is there interest from Apple in deterministic governance layers for Apple Intelligence integration?
- Any recommendations for demonstrating safety compliance during review?
The app is called Ada, and the engine is open source at: github.com/jaredlewiswechs/ada-newton
Happy to share technical documentation or discuss the architecture with anyone interested.
See: parcri.net