ARMARRAY·8h agoRetry Semantics for Mobile Actions With Side EffectsA timeout can hide a completed action. Safe recovery requires effect-level evidence, stable intent, and a clear stopping rule.
ARMARRAY·Nov 3What Counts as Verifiable Completion in a Mobile App?A $42 expense claim shows why plausible app feedback and verifiable completion are different questions.
ARMARRAY·Oct 24How Should You Size a Real Android Device Pool?Estimate from attempt demand, device-occupancy time, and task eligibility — not from the device count alone.
ARMARRAY·Oct 22From a User Goal to a Testable Mobile AI CaseDefine the outcome, starting context, completion rule, and evidence — without prescribing every action an agent takes.
ARMARRAY·Oct 20When Are Two Mobile AI Runs Comparable?A meaningful comparison starts with a shared question, a defined baseline, and a clear record of what changed.
ARMARRAY·Sep 20What Makes a High-Quality Mobile Interaction Dataset?More data does not automatically mean better Mobile AI data. Structure, context, and relationships determine whether interaction records…
ARMARRAY·Sep 18Observation → Action → Outcome: The Basic Unit of Mobile AI DataWhy a Mobile AI action makes more sense when we preserve what came before and what happened next
ARMARRAY·Sep 17From Screenshots to Trajectories: Understanding Mobile Interaction DataWhy order and relationships turn isolated mobile observations into interaction history
InMiquido NewsbyMiquido·Sep 10The 95% Cloud Discount: Why the Next Era of Mobile AI Belongs to Small Language ModelsIs dynamic hybrid routing the missing bridge between power-hungry cloud LLMs and snappy, privacy-first mobile UX?
Bharat J H·Sep 6Production Observability, Real-Time Event Streams & Semantic Tool Selection in MobileGraphFrom black-box prompts to measurable, cost-effective mobile AI: How MobileGraph provides end-to-end tracing, 18-event reactive telemetry…
