# Extending older smartphone lifespans with local-first AI and zero cloud uploads > Source: > Published: 2026-07-31 08:16:01+00:00 Powered by Vision 50 Years PhoneSoftware should adapt to hardware, not force hardware replacement. Setting For Me is a lightweight, local-first, open-source AI "Device Doctor" designed for existing and older Android smartphones. Instead of forcing users to navigate complex system menus, users simply state what they want in plain language. A tiny, local on-device model maps their intent to safe, verified actions. **Before (The Problem):** Older phones suffer from software degradation, unwanted background bloat, and thermal throttling.**After (Setting For Me):** Your phone explains what is wrong in plain, honest language and fixes it with a single tap—no cloud uploads, no fake boosts, and no technical jargon required. **No Adware or Trackers:** We will never bundle third-party cleaner tools, bloatware, or ad networks.**No Fake RAM Boosts:** We will never run fake memory clearing scripts that kill background apps only for Android to immediately restart them.**No Data Uploads:** Local-first architecture. All processing, logs, and execution happen strictly on-device.**No Unverified Execution:** The AI model cannot generate or execute arbitrary shell commands; it can only select pre-validated Action IDs from settings_map.json. **Phase 0 (Rule-Based Core):** Search bar, 20-30 validated system actions, Device Health Report, Safety Gate, Evidence Ledger.**Phase 1 (Model Frontend):** Integrate on-device SmolLM2-360M-Instruct (Q4) for handling un-scripted query variations.**Phase 2 (LoRA Fine-Tuning):** Fine-tune the 360M model specifically on device-health intent mapping.**Phase 3 (Cross-Service Diagnostics):** Correlate thermal, battery, storage, and wake-lock telemetry to explain root causes.**Phase 4 (Predictive Maintenance):** Multi-week telemetry modeling to predict hardware/battery degradation before failure. Distributed under the MIT License.