العربية
MAG Labs ↗

03 / AGENT TEAM SIMULATOR

Agent Team Simulator

Ready to explore

Watch examples become a draft through a team with clear roles, while you keep control.

An educational simulation using fixed rules and fictional data, not real AI agents. No external services, sending, publishing or data storage; reloading resets the experiment.

  1. 01CollectCurrent stage
  2. 02DeduplicateWaiting
  3. 03ClassifyWaiting
  4. 04Human reviewWaiting
  5. 05DraftWaiting

Start by collecting four fictional records from the selected scenario.

Team activity log (0)

Start the experiment to see the steps here.

What can we learn?

Each role has defined inputs and outputs. Deduplication reduces noise and classification organizes information, but content approval needs human review. Exclude an item, then revisit your decision and compare the draft.

Simulation limits

Categories and text are preset. Deduplication uses topic keys rather than semantic understanding. There is no live search, fact checking or language-model generation. The draft only assembles approved examples.

Explore the Data Quality Lab ↗