Implementation guide · 02

Design an Android capture stack that survives offline use

A native-first architecture for capturing text and media, preserving intent, and delivering to AI workflows after connectivity returns.

Built for
Android builders, capture-tool designers, and AI workflow operators
Outcome
A reviewable device-to-board flow with explicit state, offline handling, and secure configuration
  1. 01

    Model the capture intent

    Treat selected text, shared media, quick capture, and widget entry as distinct sources with shared metadata.

  2. 02

    Persist before delivery

    Write the capture locally before any network operation so interruption does not erase user intent.

  3. 03

    Queue explicit work

    Use background work with visible states for prepared, queued, sending, failed, and delivered items.

  4. 04

    Protect configuration

    Keep secrets out of source and use encrypted settings or a server-side relay appropriate to the threat model.

  5. 05

    Test the ugly paths

    Verify process death, low connectivity, permission denial, large media, and destination changes.

Operating principle

Automate the repeatable work. Keep judgment visible.

More workflow guides →