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Automate multi-angle topic research by deploying up to 10 parallel AI agents in synchronized waves to explore diverse facets of a subject. The system aggregates structured findings and prompts follow-ups to refine results until you are satisfied.

Parallel agent orchestration coordinates up to 10 AI agents to conduct comprehensive investigations simultaneously. It distributes research tasks across agents in waves, collects structured reports, and iteratively synthesizes findings with follow-up prompts.

Parallel agents support competitive analysis, technical literature reviews, market research, and due diligence. You simply describe your topic, and the system orchestrates multiple agents to investigate diverse angles and compile comprehensive reports.

Conduct due diligence by applying coordinated multi-agent research to explore GitHub projects, datasets, models, and papers. The workflow orchestrates parallel agents to investigate multiple angles, aggregating structured reports with key insights and next steps.

Parallel agent research supports iterative follow-up prompts by aggregating initial findings and prompting for refinements. The system loops with follow-up questions to ensure the compiled structured reports meet your depth and accuracy requirements.

Limitations include relying on iterative follow-up prompts to achieve desired depth, as initial parallel waves provide broad coverage. Complex investigations require multiple agent waves and user interaction to synthesize comprehensive structured reports.