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The sandboxed iframe pattern gives Datasette a safe, extensible surface for running untrusted HTML+JavaScript apps with direct access to a persistent relational database, without risking exposure of private data held in an authenticated Datasette instance.
The research identifies concrete, working methods to recover column provenance from arbitrary SQLite queries in Python — a capability Python's standard library omits — which the post describes as a prerequisite for adding richer result metadata to Datasette.
The mid-execution `ask_user()` mechanism allows agentic tools to gate side effects on explicit human approval and survive server restarts while awaiting a response, replacing a model where agents had to complete or abort a turn without user input.
Developers using Datasette as a data backend can now choose the right Google Sheets integration pattern based on whether their instance requires API token authentication.