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Without using any tools, answer in about 6 short bullet points: what are the trade-offs between SQLite and Postgres for a single-user desktop app? End with one explicit question for me to decide.

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  - **Ops burden**: SQLite is a file — zero install, zero daemon, trivial backup (copy the file). Postgres means bundling/managing a server process with the app, which is real packaging pain on desktop.
  - **Concurrency**: Postgres wins on many concurrent writers, but a single-user desktop app has essentially one writer — SQLite's WAL mode handles this fine.
  - **Features**: Postgres has richer types (JSONB, arrays, real enums), better constraints, window/CTE depth, and true `ALTER TABLE`. SQLite's typing is loose and schema migrations are clunkier.
  - **Performance profile**: SQLite is faster for local reads (no IPC/network hop); Postgres wins on large datasets, complex query plans, and concurrent analytics.
  - **Portability & footprint**: SQLite ships in ~1MB inside your binary and runs anywhere; Postgres adds hundreds of MB and platform-specific install headaches.
  - **Future optionality**: If you ever want sync, multi-device, or a hosted server tier, Postgres is where you'd land anyway — though many apps do SQLite locally and sync separately.

  **Question for you**: is there any realistic path where this app grows into a multi-user or server-backed product, or is single-user-local the permanent design point?

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The verify gate is open: there's no fresh fast-loop verdict for HEAD (d447d58) and it stays that way until CI runs, so there's nothing actionable this turn.