The Local-First Handbook for Private AI Workflows

Practical steps to keep sensitive conversations on-device without losing the power of AI.

The Local-First Handbook for Private AI Workflows

Local-first AI is finally practical on macOS witht storage-aware pipelines so private conversations stay on your machine.

Step 1 — Calibrate models once

Download the recommended local model set inside SigMeet Preferences. The optimization step runs entirely on Apple silicon and tailors context windows to your memory profile.

Step 2 — Decide when to burst

Use the Hybrid AI toggle like cruise control. Local mode handles briefings, 1:1s, and confidential workshops. When multiple live agents need to crunch across documents, burst to SigMeet AI Cloud or your own key — then return to offline mode after the spike.

Step 3 — Keep trails tidy

  • Store transcripts in the Markdown workspace with versioned folders.
  • Use the AI Screenshot tool sparingly; every capture stays in your filesystem.
  • Rotate Talk Bites archives monthly so your private podcasts never sprawl.

The result: world-class AI assistance with zero data exhaust. Local-first is no longer a compromise — it is your competitive advantage.