Independent R&D / Manufacturing × AI

AI automation
and agentic systems.

I build practical automation for manufacturing operations and knowledge work, connecting AI models to real workflows. I focus on reliable long-running execution through persisted state, bounded retries, validation, and recovery.

제조 운영과 지식 업무의 반복 작업을 자동화하고, AI 모델을 실제 업무 흐름에 연결합니다. 상태 저장, 제한된 재시도, 검증과 복구를 통해 장시간 실행의 안정성을 높입니다.

Selected work

Project log

Work in progress
and tools in use.

Built tools, active R&D, and experiments—clearly labeled by what I implemented and what remains exploratory.

Manufacturing workflows

Documents, BOM & budget automation

Manual BOM and budget work repeats across drawings and spreadsheets. I built desktop tools to extract drawing BOMs, transform budget sheets, and organize project documents. BOM extraction is rule-based.

Built tools

Drawing utilities

DWG / DXF workflow automation

Drawing conversion and updates involve repetitive desktop steps. I built Windows tools for BOM extraction and origin-coordinate changes. LibreDWG performs DWG-to-DXF conversion; the surrounding workflow tools are mine.

Built tools

Mail migration

Naver Mail → Gmail

Moving mail between accounts requires checkpoints and duplicate protection. I built a Python bridge for my Naver-to-Gmail migration with state tracking, duplicate detection, and post-import validation. It remains a single-account tool, not a public service.

Built tool

Agent control

Long-running agent orchestration

Long-running tasks can lose state or repeat incomplete work. I’m building an orchestration layer with persisted progress, bounded retries, explicit stop conditions, and response validation. External model and browser platforms are integrations; the orchestration is mine.

Active development

Messenger integrations

Multi-agent & messenger workflows

Messenger-based knowledge capture needs provenance and stable revisions. I built the ingestion, provenance, and revision-handling layer, and tested constrained agent handoffs. It uses separate read-only connector clients; the clients and messaging platforms are external.

Integration experiment

AI memory

AI memory & persona continuity

AI memory needs source context and user control. I built a conversation-wiki prototype with source provenance and revision history. Shared memory and persona continuity across AI tools remain a direction I’m exploring, not a shipped feature.

Prototype / exploration

I build the workflow layer; models, libraries, and platforms are integrations.

About

Built beside the work.

I build at the intersection of manufacturing operations and AI-enabled knowledge work.

My work focuses on recurring tasks: structuring engineering documents, moving information between systems, and making long-running workflows resumable and verifiable.

I use frontier and local AI models as components within automation systems, focusing on orchestration, validation, and reliable execution.

I’m exploring how these systems can evolve into reusable tools for manufacturing and knowledge work. Some are working utilities; others remain prototypes or experiments.

Contact

Have a practical
problem to untangle?

Direct email on seonu.net

Manufacturing systems
AI automation
Agent workflows