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Tenten AI 엔지니어들이 프로덕션 환경에서 AI 시스템을 구축하며 얻은 실제 기술적 인사이트를 백서로 정리했습니다. 요약은 무료로 읽을 수 있으며, 전체 내용은 정보 제출 후 열람 가능합니다.
추천
Multi-Agent Failure Modes
Production Post-Mortems: The Coordination Failures Nobody Publishes
RAG at Enterprise Scale
The Production Decisions That Never Appear in the Tutorials
Fine-Tuning vs RAG
A Decision Framework from 20+ Enterprise Deployments — When Each Approach Earns Its Cost
The FDE Operating Model
How Forward Deployed Engineering Teams Build AI Systems That Last — and Transfer Capability, Not Just Code
Agentic AI Governance
An Operational Runbook for Regulated Enterprises — Audit Trails, Checkpoints, and Shutdown Procedures
Evaluation Drift
Keeping AI Agents Performant After Month Three — Instrumentation, Cadence, and the Metrics That Matter
AI in Regulated Environments
A Practitioner's Field Guide for Healthcare, Finance, and Legal — Treating Compliance as a Design Constraint
Hermes Agent Architecture
Building Reliable Multi-Step AI Workflows in Production — Durable Execution, State Management, and Recovery
Enterprise Knowledge Structuring
Why Your Documentation Is Broken for AI — and the Restructuring Patterns That Fix It
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Tenten AI의 포워드 디플로이드 엔지니어가 고객 환경에서 직접 작업하여 이러한 패턴을 실행 중인 AI 시스템으로 전환합니다.
