OneSolve Go

OneSolve Go is a fully offline Go app. The KataGo engine runs directly on your iPhone or iPad — no network, no game records uploaded, and you can start a game with the connection off. FROM 20 KYU TO 9 DAN+ · The kyu levels are not a weakened engine. They use a network trained on human games — it misses things, gets greedy and plays a loose endgame, like a person rather than a machine playing badly on purpose · The dan levels are set by KataGo's search depth, one rung at a time · 9x9, 13x13 and 19x19, with handicap 13,934 LIFE-AND-DEATH PROBLEMS Life and death, capture, tesuji and endgame, graded by type and five difficulty levels, all solvable offline. 33 BEGINNER LESSONS Ordered after the British Go Association's teaching guide: capturing first, boards up to 9x9 to begin with, ko last. The graduation test is beating KataGo on 9x9 with a 4-stone handicap. REVIEW AND RANK ASSESSMENT Let KataGo analyse a finished game move by move: it draws the win-rate curve and picks out the moves that cost you most. The rank assessment estimates your strength from move quality, not from the result. TUNED FOR APPLE SILICON · Prefers the Neural Engine — same strength, less battery · Low power / normal / full speed, with automatic downgrade when the device heats up · SGF import and export; games sync across your devices through iCloud PRIVACY No account or sign-in, and your games are never uploaded — play and analysis run entirely on your device. To keep tuning performance across devices, the app reports runtime data while an AI model is running: device model, OS version, memory and CPU use, thermal state and battery level. No game records, no account, nothing that identifies you personally. — Membership & Subscription — · Yearly Membership: auto-renewable subscription, 1 year; price shown in-app for your storefront (CNY 38/year in China). Cancel anytime in your App Store account settings. · Lifetime Membership: one-time purchase, not a subscription. Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy Policy: https://tommyeth.github.io/yijie-weiqi/privacy.html