Build a Multi-Agent Content Team
Researcher, writer and editor agents under a supervisor, producing publishable drafts.
/ quick answer
Split the job into three specialised agents with explicit handoff contracts and an editor that can reject and reloop. Researcher, writer and editor agents under a supervisor, producing publishable drafts.
- 01Researcher agent: search + scrape, returns a structured brief (claims, sources, angles).
- 02Writer agent: consumes only the brief, never raw pages. Outputs draft + heading map.
- 03Editor agent: scores draft against a rubric (accuracy, originality, structure, hook).
- 04Supervisor: if score < threshold, return the rubric notes to the Writer (max 2 loops).
- 05Human approves before publish. Log every rejection reason as future eval data.
- 06Track cost and time per accepted draft; kill any agent that never changes the outcome.
What does the Build a Multi-Agent Content Team workflow do?
Split the job into three specialised agents with explicit handoff contracts and an editor that can reject and reloop.
What problem does Build a Multi-Agent Content Team solve?
A single prompt asking for a full article produces generic, unsourced content that still needs a full rewrite.
How many steps does Build a Multi-Agent Content Team take?
6 steps. It starts with researcher agent: search + scrape, returns a structured brief (claims, sources, angles). and ends with track cost and time per accepted draft; kill any agent that never changes the outcome..
Which tools does Build a Multi-Agent Content Team need?
It uses multi-agent-orchestration-stack, content-creator-stack — each linked below with its own node.