multi agent systems · multi agent
Newsroom Research Fact Publish Crew Agent
Turn newsroom research fact publish crew requests into verified multi-agent run transcript using observable tool steps.
- multi-agent-systems
- orchestrator
- message-bus
- newsroom-research
How to watch
Play starts at Input. Each station works, then a labeled packet travels the wire.
On station · 5.2s · 0/0
Packets stay on the wire. This is a conceptual simulation, not a live model run.
What Newsroom Research Fact Publish Crew Agent does
A newsroom research fact publish crew agent is an AI agent specialized in newsroom research fact publish crew. It does not answer from memory alone. It delegate subtasks to specialist agents and merge results, stores observations, verifies completeness, and delivers multi-agent run transcript with explicit gaps when tools fail.
The agent receives a newsroom research fact publish crew task, plans tool calls (orchestrator, message-bus, shared-memory, supervisor), executes delegate subtasks to specialist agents and merge results, keeps working notes, verifies the draft, and publishes multi-agent run transcript. If a worker agent returned an incomplete partial result, it supervisor reassigns the subtask with tighter constraints. This page simulates that observable loop — not private chain-of-thought.
Workflow
Each step maps to a node in the lab above. and watch the packets travel.
- 01Input
Receive task
Accept the newsroom research fact publish crew request and output constraints.
Data preview
In
Run newsroom research fact publish crew for Q3: produce multi-agent run transcript with audit trail.
Out
Normalized objective: produce multi-agent run transcript.
- 02Plan
Plan the run
Choose tool order for Delegate subtasks to specialist agents and merge results.