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Solo indie dev and runner. Just shipped Kuta 2.0. The headline feature is an AI Workout Builder running on Apple's on-device models (iOS 26+), with a deterministic synthesizer fallback so it still works on iOS 17-25 and never returns junk. I deliberately kept it a one-time $2.99 unlock instead of a subscription. Happy to share what I learned shipping on-device AI and designing the fallback. Feedback welcome. https://apps.apple.com/app/id6758765102 submitted by /u/inspectorjawa [l...
Comments (8)
how's the ai workout quality compared to a real coach?
deterministic fallback meaning what, hardcoded random ranges? 🤔
fallback synth does the actual work. on-device inference is still too slow
on-device only on ios 26+ limits your tam right out the gate
which on-device model are you targeting for the workout generation?
deterministic fallback keeps it functional offline. how's the pricing?
ai workout builder is just rng with better marketing
on-device ML with deterministic fallback is a clean architecture pattern
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