Agent experiments / Interactive study
AI agents & automation.
Experiments in repeatable workflows, structured information and human review.
A workflow, with intention
Connecting the quieter parts of a system.
Understand the input. Make a useful proposal. Give the reviewer the final decision.
The context
A focused task. A useful next step.
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.
Built as an interactive workflow prototype. The demonstration uses predefined sample responses and does not connect to an AI model or a live business system.
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.
Inside the work
Designed around the decision.
- 01
Structured inputs and predictable output formats.
- 02
Explicit review steps and visible status changes.
- 03
Small, focused tools with clear boundaries.
Tools & technologies