MediumHQ — Research Pipeline
A multi-agent system that compresses the sourcing, synthesis, and structural groundwork behind long-form writing. Research and architecture handled by coordinated agents. Editing, voice, and judgment handled by the author.
THE PROBLEM
The bottleneck in quality long-form writing is rarely the writing itself. It is the hours spent sourcing credible material, identifying the right angles, and building a structural foundation before a single sentence gets drafted. Doing that research manually is slow and inconsistent. Skipping it produces shallow content. MediumHQ was built to compress that bottleneck without replacing the human judgment that makes writing worth reading. The outcome was precise: a system that handles everything before the first draft, so the writing session starts with a full research brief rather than a blank page.
THE APPROACH
Architectural review shaped the agent structure around research tasks exclusively, not writing tasks. Four specialized agents handle distinct phases of the pre-writing process: a news research agent pulling current source material on the topic, a synthesis agent distilling key findings and identifying tensions worth exploring, an angle agent surfacing the two or three most defensible editorial positions given the evidence, and a structure agent producing a draft outline the author works from. The output of the pipeline is a research brief, not an article. The author reads the brief, makes editorial decisions, and writes from that foundation. Consolidating the agent scope to research only kept the architecture lean and the author in control of everything that matters.
OUTCOMES
- A 4-agent research pipeline covering sourcing, synthesis, angle identification, and structural outlining.
- Structured research briefs produced per topic, replacing hours of manual sourcing with a reviewable foundation.
- Editorial voice, final judgment, and all writing retained by the author throughout.
- Reusable architecture applicable to any long-form content vertical requiring research depth before drafting.
KEY INSIGHTS
The decision to stop the pipeline before the writing was the most important architectural choice. AI handles the part that scales. Human handles the part that matters.
The brief the system produces is only as good as the synthesis layer. Getting the angle agent right was the difference between useful and generic output.