Agent experiments / 인터랙티브 연구
AI agents & automation.
Experiments in repeatable workflows, structured information and human review.
의도가 담긴 워크플로
Connecting the quieter parts of a system.
입력을 이해합니다. 유용한 제안을 만듭니다. 최종 결정은 검토자에게 맡깁니다.
배경
집중된 작업.
유용한 다음 단계.
Agent workflows are most useful when their boundaries are visible. This collection explores structured tasks, proposed changes and human review through interactive demonstrations using sample data.
인터랙티브 워크플로 프로토타입으로 제작했습니다. 데모는 미리 정의된 샘플 응답을 사용하며 AI 모델이나 실제 비즈니스 시스템에 연결되지 않습니다.
See the system
think in steps.
Choose a workflow, inspect the sample input and review the proposed output. You make the final call.
Find inconsistencies in a small sample product catalogue.
Product: Wireless headphones · Category: Audio · Compatibility: missing · Related products use the Headphones category.
- 01Inspect sample product fields
- 02Compare naming and categories
- 03Prepare suggested corrections
Your review workspace.
Run the example to reveal the proposed changes.
This browser simulation demonstrates the workflow and interface. Its sample responses are predefined; it does not call an AI model, access a store or publish changes.
작업 속으로
결정을 중심으로
설계했습니다.
- 01
Structured inputs and predictable output formats.
- 02
Explicit review steps and visible status changes.
- 03
Small, focused tools with clear boundaries.
도구와 기술