Applied AI insights. Technical guides, dated and sourced.

Original guides on the decisions that determine whether AI works in daily operations: how a model is deployed, what data it is given, and what it takes to move from a pilot to something an organization can rely on.

Guide A · 22 Oct 2026 Choosing an AI deployment posture Standard API to self-hosted model. Why residency, retention and network isolation are three different questions, and when self-hosting is not the safest realistic choice. Guide B · 22 Oct 2026 Data before models Data classes as a design heuristic, the inventory, minimal access, the four datasets an AI system uses, and why pilots fail on ownership rather than accuracy. Guide C · 22 Oct 2026 From AI pilot to production A vendor-neutral reference pattern and the acceptance tests that decide go-live: accuracy, error burden, latency, cost per case, failure handling, privacy and rollback.

Editorial standard.

Signed and dated.

Every guide is written by Bassel Assaad and carries its publication and review dates. Guides are revised when their sources change.

Primary sources.

Claims about law, standards or guidance link to the publishing authority: CNIL, NIST, the European Commission. Never to a summary of a summary.

Illustrations are labeled.

Worked examples use synthetic organizations and invented figures, and say so beside them. No client is described or implied.

No legal advice.

The guides explain technical design choices. Whether an obligation applies to you is for your counsel or data protection officer to determine.

Back to the practice.

See how these ideas become an engagement: diagnostic, workflows, deployment and method.

Applied AI overview