ExBooks · Practical AI · Draft · expert review required
Local First, AI Second.
A Practical Guide to Private Models for Sensitive Work
Local AI is not private by magic. The model may run on your machine while downloads, logs, plugins, backups or exposed ports still cross the boundary you meant to protect.
This guide covers when local inference is worthwhile and how to run it responsibly: workload classification, hardware and quantization, model and license review, network isolation, retrieval, tool permissions and incident response.
Publisher-adapted draft; audience scope awaits expert review.
Practical AIPrivate modelsSensitive work
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Read a free sample (PDF, 19 pages) Ask about this bookTitle, subtitle and cover come from the ExBooks 2026 portfolio; the free sample is taken from the 6 x 9 in interior. This publisher-adapted draft still awaits expert review; no ISBN or price is confirmed yet.
StatusDraft · expert review required
TopicsPractical AI · Private models
ImprintThe Research Ledger Press
Print length172 pages · 6 x 9 in
FREE SAMPLE
Read the first chapter
before you buy.
The free sample is a 19-page PDF with the title page, the table of contents and Chapter 1: Define the Boundary Before the Model. It is an excerpt only; the complete book can be read free on Google Drive or ordered directly from the author.
THEMATIC THREADS
01Private models
A theme of the book. The free sample includes the table of contents and the first chapter.
02Sensitive work
A theme of the book. The free sample includes the table of contents and the first chapter.
03Local-first practice
A theme of the book. The free sample includes the table of contents and the first chapter.
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