Field notes for teams operating production AI.

Architecture decisions, product updates, and practical lessons from building callable, grounded, governed AI capabilities.

Announcement · 7 min

Introducing LiyaEngine: an operating layer for production AI

Why we built a platform around tenant-owned domains, callable intent contracts, governed execution, and request-level evidence.

domain: tenant-owned
contract: intent
runtime: governed
evidence: request-level

A practical look at using domains to group intent contracts, knowledge links, tools, and shared runtime behavior by ownership boundary.

How to decide what an agent should remember, retrieve, or deliberately forget across requests and sessions.

Designing policy checks as observable runtime controls rather than a checklist applied after an AI feature ships.

A product pattern for moving prompt logic into a stable contract that engineering, operations, and risk teams can evolve together.

Modeling collection ownership, document quality, retrieval scope, and evidence as one production system.

A decision framework for keeping simple capabilities simple and introducing orchestration only when the work requires it.