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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, trivially backed up by copying. Postgres means shipping/managing a server process alongside your app, which is a real packaging and upgrade headache on desktop.
  - **Concurrency**: Postgres wins on many concurrent writers, but a single-user desktop app has ~one writer. SQLite in WAL mode handles that plus background readers fine.
  - **Features/types**: Postgres gives you rich types (jsonb, arrays, proper timestamps), real constraints, window/CTE depth, and full-text/extensions. SQLite has dynamic typing, weaker constraint enforcement, and fewer built-ins.
  - **Migrations & schema**: Postgres has full `ALTER TABLE`; SQLite's is limited, so column changes often mean table-rebuild dances. Tooling helps, but it's friction over years of schema churn.
  - **Performance profile**: SQLite is in-process — no network/IPC hop, so simple queries are typically faster. Postgres pulls ahead on complex query plans and large datasets, and has a far better optimizer.
  - **Future path**: If a sync/multi-device/server story is likely, Postgres now avoids a painful port later; if it stays local-first, SQLite is the simpler forever-answer (and Turso/libSQL exist if you want sync on top of SQLite).

  Question for you: is this app going to stay strictly local-only, or do you expect multi-device sync or a hosted backend within the next year or so?

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The verify gate is open: there's no fresh fast-loop verdict for HEAD (d447d58) and it stays open until CI runs.