주제 · 분야
AI 플랫폼
조직이 AI를 구축하는 공통 기반: 모델 게이트웨이, 에이전트 런타임, 거버넌스, 관측 가능성, 그리고 이를 둘러싼 운영 모델.
- 페이지
- 4
지도에서 페이지 4개와 주변 주제
2026
- 15 분
Observability Is Not Logging
A cost total says nothing about how a run went. This part turns each agent run into a trace: which turn escalated, which tool failed, where the money went.
- 10 분
The Bill Is Part of the Loop
Every model response already carries its own bill in the usage field, and the loop throws it away. This post reads that field, prices it against a table, and turns cost into a value the loop can see per turn and act on: a metering decorator that needs no loop change, a running ledger, prompt-cache accounting that moves the number the most, and a budget that degrades before it stops. Part eight of The Agent Platform Handbook.
- 14 분
The Model Is a Dependency
Every layer of the harness has existed to put the right tokens in front of one hardcoded model string. This post pulls that string out and makes the model a dependency: why you route a cheap model for easy turns and a strong one for hard turns, what a fallback looks like when a provider is down, and why 'models are commodities' is a claim about your architecture before it is a claim about the market. Part seven of The Agent Platform Handbook.
- 19 분
What an Agent Actually Is
AI agent is the most overloaded word in the industry. This is the anatomy, the lineage, and a working implementation in roughly two hundred lines of TypeScript on Bun. Part one of The Agent Platform Handbook.