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

Tech Note2026.07.16

Why we turned the user manual into a solution guide wiki

Generating a web wiki, Word, Korean, and English documents from one Markdown source — and why we now operate the manual like a product.

sooanc

Field Report2026.07.15

What hospitals actually ask when they evaluate an AI platform

Questions from a hospital evaluating an AI platform — controlling sensitive data, querying the database in natural language, documents full of tables and charts, using the model the hospital picked, and letting business staff build agents.

PPlateer AI Labs

Tech Note2026.07.14

Setting up a blog authoring workflow developers will actually use

Letting developers publish from their own GitHub account without opening the main repository — lowering the cost of participation with Open Authoring.

sooanc

Tech NoteThe Harness Diary2026.07.10

Keeping lessons fresh when you feed them into the next run (Part 10)

Making validation feedback, answer candidates, judgement scores, and tool discovery carry into the next action without mixing state from different rounds.

김진수

Tech NoteThe Ontology Diary2026.07.06

Safely replacing a graph with the results of a SELECT (Part 10)

Using the database's types and primary keys as graph identity, and protecting full and incremental ingestion with RDF staging swaps and a composite cursor.

김진수

InsightInsight from our research and the field

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