Tagged articles

Agent Control

3 articles · Page 1 of 1

Sep 26, 2026 · Artificial Intelligence

Ontology-Driven Agent Control: The Semantic Backbone for Harness Engineering

This article explores how ontology-driven architecture solves the uncontrollability of LLM agents in enterprise settings by replacing external prompt-based constraints with explicit semantic modeling, detailing Knora's three-layer system that enables deterministic verification, precise context retrieval, and continuous ontology evolution from execution feedback, with real-world 70x efficiency gains in railway reporting.

Agent ControlContext EngineeringEnterprise AI

0 likes · 27 min read

Ontology-Driven Agent Control: The Semantic Backbone for Harness Engineering

DataFunSummit

Aug 14, 2026 · Artificial Intelligence

How Ontology‑Driven Harness Engineering Enables Controllable Agent Execution

The article analyses why current AI agents often act beyond business rules, proposes an ontology‑driven Harness Engineering framework that provides built‑in architectural constraints, context engineering, and a verifiable feedback loop, and demonstrates its practical realization through the Knora platform with real‑world case studies.

AI AgentsAgent ControlContext Engineering

0 likes · 20 min read

How Ontology‑Driven Harness Engineering Enables Controllable Agent Execution

DataFunTalk

Apr 18, 2026 · Artificial Intelligence

How Ontology Turns AI Agents into Secure, Controllable Executors

The article examines Harness Engineering's ontology‑driven semantic foundation for AI agents, outlining the challenges of uncontrolled agents, multi‑dimensional safety requirements, architectural constraints, context engineering, feedback loops, and the Knora implementation that bridges technical control to business‑level governance.

AI AgentsAgent ControlOntology

0 likes · 17 min read

How Ontology Turns AI Agents into Secure, Controllable Executors