Define the Offline-Ready State

Direct answer

Define offline readiness for a specific feature and task, not for a model name or the entire application. A task is ready only when its required artifact is present and has passed the checks the application actually performs, the intended runtime path can initialize it, the task has all required local inputs and dependencies, and a representative execution succeeds with network access disabled. If the app has optional cloud services or remote updates, scope the statement to the tested task and disclose what still needs connectivity. A download finishing is one milestone, not proof that a feature works offline. Use a layered state contract. Artifact state can be absent, transferring, present, or rejected. Verification can be not configured, not run, failed, or passed against a trusted value. Runtime state can be uninitialized, loading, loaded, or failed. Task state can be blocked by missing input, permission, language asset, or other dependency. Network state can be validated, unavailable, or irrelevant to a local step. The user-facing “ready” label should be derived from the full conjunction required by that task, not from one boolean set by the downloader. Make the scope visible. “This photo analysis is ready offline” is narrower and more testable than “the app is offline.” A feature may need an installed model but still call a remote service for account, licensing, telemetry, maps, or optional content. Conversely, a task may have a local fallback while cloud-enhanced behavior remains unavailable. Record both the tested local path and any excluded network-dependent path. Do not state that the application makes no network requests merely because inference occurs on-device. Choose a representative test that exercises the real user path, not only a runtime smoke test. A model can load but fail to tokenize the actual input format; an image path can require a missing preprocessing library; speech capture can depend on Android’s speech service; a translation task can require a language pack; a local index can be empty. Test the input, permissions, artifact, runtime, and output handling together while the device is in airplane mode or otherwise demonstrably offline. Record which network interfaces were disabled, app and artifact revisions, task, input fixture, and outcome without inventing performance data. Keep readiness reversible. Removing an artifact, revoking a permission, deleting an optional language pack, changing a model variant, upgrading the runtime, or losing a storage volume can move a task from ready to blocked. Recompute status after lifecycle events rather than retaining a permanent success flag. A failed task should expose the exact missing prerequisite when known; when unknown, say the app could not verify readiness and provide a next check. Preserve user inputs and history independently from model readiness. This is a readiness contract, not a compatibility matrix or public product claim. A passing test on one exact build and path does not establish every device, language, media format, account state, or future artifact. Keep results versioned and bounded. If an expected digest is absent, state that verification limitation; do not declare the file authentic. If the repository has not tested a task offline, leave it unverified rather than applying a global offline badge from architecture alone.

Do not equate 100-percent transfer with readiness

A product page is about to label camera analysis offline-ready after transfer completion, but the current app build has not loaded the model or exercised its image-processing path without network.

Decision

Require a task-specific gate covering artifact, applicable verification, runtime, local dependencies, and a representative offline execution before changing the label.

Expected outcome

The page states only the tested task boundary and returns to blocked if a needed artifact or permission later disappears.

Evidence to collect

The claim becomes reviewable only when the following evidence is attached to the same artifact and test run:

• Required asset inventory
• Verification status
• Airplane-mode acceptance

A completed byte stream is not enough. Final placement, integrity, runtime load, and recovery must also pass.

Implementation workflow

The required asset inventory, verification status, and airplane-mode acceptance must each be documented as discrete records, then brought together for side-by-side comparison. This side-by-side review makes it possible to see whether every listed artifact is present, each verification result aligns with expectations, and the acceptance criterion in airplane mode is satisfied, supporting a conclusion grounded only in what these records collectively show.

1. Name the task boundary. Specify one user action and output plus the exact artifact revision, runtime, input kind, permission, local assets, and remote services that are outside the offline claim.
2. Observe artifact and verification. Confirm the actual file exists at the configured location, record its revision, and state which integrity checks ran. A missing expected digest is a limitation, not a passed check.
3. Load the intended runtime path. Open the exact candidate through the intended application build, record manager state, and keep a successful load test separate from successful execution of the task.
4. Disable network dependencies. Disable connectivity or use a controlled blocked-network fixture, record that condition, and verify the core task has no hidden remote prerequisite.
5. Run a representative workflow. Use a defined fixture through preprocessing, inference, and output. Record app, artifact, and runtime revisions without generalizing performance or support to other cases.
6. Recompute after changes. Test removal, permission revocation, variant switch, runtime update, volume loss, and missing optional assets; clear the ready state whenever one required prerequisite disappears.

Acceptance criteria

• Offline readiness is attached to a named task and tested build, not a model family or app-wide label by default.
• Artifact presence, applicable verification, runtime initialization, local dependencies, and offline task success are separate observations.
• A passing test is scoped to its device, input, build, artifact, and runtime rather than treated as universal compatibility.
• Removing a prerequisite clears readiness and gives a truthful recovery route without deleting user data.

Decision table

Failure patterns to prevent

• Equating download completion with readiness
• Ignoring tokenizer or language assets

Common pitfalls must be avoided by confining any release language to the recorded evidence. Treating download completion as equivalent to readiness ignores the need for verification and successful task execution, while overlooking tokenizer or language assets leaves gaps in the artifact set. Release wording should therefore describe only the recorded verification and acceptance results rather than implying broader capability.

Minimum reproducibility record

Release checklist

• ☐ The primary query is answered without an unsupported number.
• ☐ Every artifact and runtime is pinned.
• ☐ The representative task and failure policy are explicit.
• ☐ Lifecycle, cancellation, cleanup, and fallback are tested.
• ☐ User-content and network boundaries are documented.
• ☐ Result wording applies only to the recorded configuration.
• ☐ The page links to raw method or evidence when results are added.

Sources and related evidence

• On-device AI architecture overview
• Build an offline-first app
• Android persistent background work
• Android NetworkCapabilities API

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Frequently asked questions