Interesting concept. Feels like moving sanitization from runtime checks to compile time guarantees.
But I wonder does it scale well for messy real-world inputs?
Sanitization by Construction: The "Edge Compiler"
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Great question. The 'messy' reality is exactly why we decoupled Data Normalization from Inference Logic.
We don’t try to ‘compile’ raw, unstructured inputs at the boundary. Instead, we use a Local-First Adapter Layer in the browser to normalize messy CSVs into a clean internal schema before any analysis happens.
Scale is handled by deterministic local parsers. Privacy is maintained by our Edge Compiler, which generates a fixed-schema aggregate context (portfolio totals + top-N holdings) for the LLM rather than dumping the full ledger. For the Paid Tier, users can explicitly opt-in to send row-level text via attachments—but the core sovereign context remains structural by default.
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