Source record

Published by Practical AI (podcast) (T1.5 source). The original is at https://share.transistor.fm/s/c73dd974.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

Thunderbird engineer Chris Aquino describes building a privacy-preserving AI executive assistant, detailing design choices around confidential remote inference, local encryption, and model selection, and the shift from a single large LLM to a multi-model workflow split.

Firsthand account of a product team's architectural decisions for a privacy-first AI assistant, with a concrete move from one big LLM to a split multi-model pipeline.

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