What the AI assistant in Finsight sees, and what it does not
How we added an AI assistant to an end-to-end encrypted finance app: who assembles the data, what leaves the device, what never does, and why there is a daily limit.
Zentline ecosystem
Articles about architecture, product decisions, operations, and the systems behind Zentline products.
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How we added an AI assistant to an end-to-end encrypted finance app: who assembles the data, what leaves the device, what never does, and why there is a daily limit.
5 min read
How we added an AI assistant to an end-to-end encrypted finance app: who assembles the data, what leaves the device, what never does, and why there is a daily limit.
How we combined local-first architecture, SQLite, PowerSync, and E2E encryption in the Finsight finance app.
How we moved away from request-wait-response screens, shifted routine reads to local SQLite, and improved perceived speed with PowerSync.
A short guide to product metrics that help small SaaS teams understand retention, activation, support load, and real usage.