01Agentic Systems
Systems in which AI agentsactually do the work.
We give LLMs and agents the tools and data access they need, run them through evaluation criteria and verification loops, and put them into production. People set the standards and decide the exceptions.
- Agents
- Tools
- Verification
Decompose the work, design the agents
Break the work into units an agent can carry out and define roles, permissions, and tools.
Connect tools and data
Give agents safe access to internal systems and data through MCP and APIs.
Evaluate and operate
Put evaluation criteria, verification loops, and monitoring in place, then keep improving in production.
Definition
A system in which AI agents use tools and data to perform work, and the results enter operations only after verification
AI 에이전트가 도구와 데이터를 써서 업무를 수행하고, 그 결과가 검증을 거친 뒤에만 업무에 반영되는 시스템
We design the units of work an agent performs, the tools and data it may reach, and the criteria for accepting its results, together. The deliverable is not a prompt but an operating system with roles, permissions, verification, and records.
에이전트가 수행할 업무 단위, 접근 가능한 도구와 데이터, 결과를 받아들이는 기준을 함께 설계합니다. 프롬프트 하나가 아니라 역할·권한·검증·기록이 갖춰진 운영 시스템을 만듭니다.