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Field manuals, playbooks, labs, and references — careful technical writing on AI.

Tier‑0 Knowledge Layer for Agentic Engineering

You move from impressive pilots to audit-survivable, production-grade agentic systems with measurable “done,” enforceable controls, and a tested kill-switch and recovery plan. TL;DR Convert every agent request into 8–12 word, binary pass/fail acceptance criteria before building anything. Classify embeddings/KG/telemetry as Tier‑0 and gate production on immutable logs, SoD, segmentation, and restore drills. Decouple control/data/model/experience planes … Read more

Composable AI Data Governance for Agentic Engineering

Readers will be able to assign the right governance pattern to each agentic AI use case, place controls at the correct decision boundary, and reduce compliance risk without defaulting to a one-pattern-fits-all architecture. TL;DR Classify every AI use case by risk before design approval, then select a primary governance pattern using the default rule: high-risk … Read more