AI Agent Automation
The GSL builds AI agent systems that run the media workflow from planning to optimization. We focus on repeatable operations, portfolio-level decision rules, and long-term asset growth across channels.
Company Positioning
The core unit is not a single channel. The portfolio is the product, and each channel is managed as an asset with measurable operating signals.
AI agents execute recurring work; humans focus on strategy, quality, and capital allocation decisions.
What We Build
Multi-agent orchestration layer connecting scheduler, session runner, message bus, and model pipeline.
Consulting for AI service design, automation architecture, and operating model setup for teams building multi-channel products.
AI-assisted script, voice, visual, short-form, and publishing flows with performance feedback loops.
Workflow
Niche scoring by RPM potential, affiliate fit, competition, automation suitability, and evergreen strength.
Generate platform-specific content packs for YouTube, blogs, and short-form channels.
Publish and repurpose across Korean and global channels with language-aware variants.
Evaluate performance, apply kill/scale rules, and reallocate resources to stronger clusters.
100-Channel Strategy
Korean channels leverage Naver + local affiliate ecosystems. Global channels target higher CPM and SaaS affiliate economics.
Ads are baseline. Affiliate, digital products, leads, and channel-level exits create the real scaling curve.
Channels are managed as assets. Winners scale; weak channels are retired and replaced by new tests.
Portfolio MVP
Interpretive analysis workflow and long-form result generation.
Matrix-driven monitoring interface for route and date price movement.
If you want the detailed business deck and technical architecture packet, reach us by email.