A chained multi-agent pipeline for news production assigns each stage of the editorial process to a specialised agent: a research agent, a drafting agent, a fact-checking agent, and an editing agent. Each agent receives the previous agent's output, performs its specialised function, and passes the improved output to the next agent. The human editor receives a fact-checked, edited draft ready for final review — rather than a blank page.
The Four-Agent News Production Pipeline
Agent 1 — Research: Queries archive and web for relevant background, key players, previous coverage, and statistics. Output: structured research brief with citations. Agent 2 — Drafting: Generates a structured first draft from the research brief and story brief, applying house style constraints. Output: first draft (600–900 words). Agent 3 — Fact-checking: Runs all claims through multi-engine verification. Flags unverified claims. Output: annotated draft with verification status per claim. Agent 4 — Editing: Applies grammar, style, and clarity improvements. Removes AI prose patterns. Generates 5 headline variants, meta description, and social snippets. Output: publication-ready draft with flagged unverified claims for human resolution.
Human Touch Points
In a well-designed chained pipeline, humans intervene at: 1) Story brief creation (the starting prompt), 2) Resolution of flagged unverified claims, 3) Final read and sign-off. Total human time in the pipeline: 25–45 minutes per story, versus 4–8 hours for a traditionally produced story of equivalent quality.