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A Private Client · Private business operations · Private knowledge system

A Private Client

I built a private system that turns a client's recordings into organized notes and action items, with audio transcription on the client's own machine.

The workflows were delivered with no errors reported in the recorded runs at handover.

What the business needed

Voice memos, calls, meetings, and screenshots arrived everywhere, with no reliable filing path. Sensitive audio could not go to cloud transcription.

What I worked on

  1. 01Built 13 automated processes for collecting recordings and screenshots, organizing their contents, and filing the results.
  2. 02Kept sensitive audio transcription and classification on the client’s own computer.
  3. 03Added daily and weekly summaries.

KEY DECISIONS

Make privacy the architecture

Run the sensitive transcription and classification lane locally, rather than sending audio away to determine whether it is sensitive.

Use the systems already in place

Route each capture into the owner’s existing project structure instead of creating a second filing habit.

What the project delivered

2,3512,351 recordings and screenshots filedDrive metadata, 9–24 June 2026.
520520 tasks createdRecorded in Asana, 8 June–15 July 2026. This counts tasks created, not completed.
0 bytessensitive audio sent to cloud servicesArchitectural boundary: sensitive audio is transcribed locally.

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