What is Eval-Driven Development (EDD)? An Evaluation-First AI Development Process
Learn how EDD integrates evaluation metrics throughout the entire cycle—not gut feeling—plus practical steps to auto-tune prompts and parameters.
LLM Operations & RAG × AI Agents
28 articles on "LLM Operations & RAG × AI Agents" — implementation case studies, PoC design, and operational know-how on AI, DX, and security for executives and IT teams.
AllAI & Machine Learning(22)LLM Operations & RAG(28)AI Agents(34)DX(21)Cybersecurity(15)Sales & Lead Generation(5)PoC Development(2)Developer Tools(5)Thailand Business(20)
What is Prompt Caching for Multi-Tenant? A Design for Reducing Inference Costs in B2B SaaS
Learn patterns & implementation steps for multi-tenant cache design that securely shares prompt context across tenants, significantly reducing inference costs.
What Is a Token Trap? Practical Token Consumption Management to Prevent Hidden Cost Explosions in AI Agents
Learn how "token traps" cause billing spikes in high-frequency agent loops, and how to prevent cost explosions with budget caps, throttling, and smart loop design.
Latency Budget Design for AI Agents — How to Control the Trade-off Between Thinking Time and Response Time
Explore how "thinking time" causes response delays in multi-step reasoning agents, and compare latency budget allocation strategies and implementation patterns based on task complexity.
