AI Multi-Agent Research Platfrom
Multi-Agent Studio is a platform that demonstrates how multi-agent AI pipelines work in practice. Each module hosts a complete agentic workflow — a team of specialized AI agents working in sequence and in parallel, each with a defined job, passing structured outputs to the next.
The first module is a Research Assistant. A user submits a topic and nine agents produce a polished research paper end to end: a Planner breaks the topic into research questions, a Researcher searches the live web across two providers simultaneously, a Critic evaluates source quality, two Writers produce competing drafts in parallel, a Debate Judge picks the stronger one, a Fact Checker cross-checks claims against source evidence, a Judge scores the draft on four dimensions, and an Editor polishes the final output. Six human-in-the-loop checkpoints stop the pipeline at key decision points — the user reviews and approves before expensive steps run.
The platform was built to answer a question that comes up in every serious AI conversation: can you build reliable systems on top of non-deterministic language models? The answer the platform demonstrates is yes — but only through system design. Structured outputs, Python-based measurement, calibrated evaluators, verification steps, and human checkpoints are what make the pipeline accountable. The platform is as much a working proof of concept as it is a usable tool.
