Fan out large research jobs and turn them into decks or sites

A guide to Manus describes splitting big research requests into many parallel sub-agents, for example profiling 250 AI researchers with one sub-agent each in about 10 to 15 minutes. It also shows structured inputs such as an event-platform export or a spreadsheet being enriched via web scraping and connected tools like SimilarWeb, then assembled into chart-filled slide decks or a deployed, searchable website (one example used a sheet of 100 papers). The user supplies the prompt, files, templates, API connectors and brand rules. The guide is light on how outputs were checked, so verify facts before publishing.