Insight · Plateer AI Labs

Article series

The GS Certification Diary

Three weeks of reading 80 defect reports and rebuilding the code, the errors, and the manual

5 articles

The Harness Diary

Designing the execution environment an AI agent works in, from the ground up

10 articles

The Ontology Diary

Starting from the questions, building a knowledge graph, then working on quality and search

10 articles

All articles

XGEN Preview2026.08.19

XGeny — from an AI that answers to an AI agent that works

The XGEN agent takes another step forward. XGeny is a new agent runtime with memory and a workspace of its own, able to find the tools it needs — and build them when they do not exist — to carry work forward.

PPlateer AI Labs

Tech Note2026.08.18

Bringing Jaeger to XGEN: from Envoy sidecars to OTel auto instrumentation

Introducing Jaeger tracing alongside an XGEN service migration — running into the limits of the Envoy sidecar, and building distributed tracing with OpenTelemetry auto instrumentation instead.

Insoo Jeon

Field Report2026.08.12

On-premise AI agents — why XGEN

Once agents start executing inside core systems, the selection criteria change. Here is the on-premise agent platform that keeps data inside your boundary, connects to existing systems, and keeps execution controlled and traceable.

PPlateer AI Labs

XGEN Preview2026.08.07

XGEN DeX — the execution layer that reaches the desktop

The agent runs on the server; the user works with it from their own desktop. Central control stays where it is, and nobody has to change how they work.

PPlateer AI Labs