Research hundreds of people and build slide decks at scale
Guide describes using Manus for large research jobs like profiling the top 250 AI researchers, turning event exports into slide decks, and deploying websites. Task: Suggested implementation: Use Manus to split large research tasks into parallel sub-agents, such as profiling 250 AI researchers simultaneously. Inputs include structured data like Luma event exports or Google Sheets, which Manus processes by scraping sites and calling connected tools. Human role involves defining project rules, providing templates, and verifying outputs.; tools: Manus. Human role: The original post does not say how a person stayed involved.; limitations: Prerequisites include supplying connectors, attached templates, and clear knowledge rules to ensure brand compliance. Source reliability is low as the original URL returned a 403 error, making all claims anecdotal. Human approval is required for all generated assets before publication. Integration uncertainty exists regarding specific tool connections..
Tools
Published on Agent Work Atlas:
Overview
Guide describes using Manus for large research jobs like profiling the top 250 AI researchers, turning event exports into slide decks, and deploying websites.
Workflow
Suggested implementation: Use Manus to split large research tasks into parallel sub-agents, such as profiling 250 AI researchers simultaneously. Inputs include structured data like Luma event exports or Google Sheets, which Manus processes by scraping sites and calling connected tools. Human role involves defining project rules, providing templates, and verifying outputs.
Reported result
Actual outcomes are unverified due to source access errors. Proposed measurable acceptance check: Compare the time taken for Manus to generate 10 researcher profiles against manual effort, and verify the factual accuracy of at least 2 profiles. No success metrics or production-ready status can be confirmed from the provided text.
Human role
The original post does not say how a person stayed involved.
Limitations
Prerequisites include supplying connectors, attached templates, and clear knowledge rules to ensure brand compliance. Source reliability is low as the original URL returned a 403 error, making all claims anecdotal. Human approval is required for all generated assets before publication. Integration uncertainty exists regarding specific tool connections.
Try it
Act as a research assistant using Manus. I need to profile 10 specific AI researchers listed in [replaceable input: CSV file or list of names/links]. First, configure Manus with [replaceable input: brand guidelines and output template]. Instruct Manus to scrape public data for each researcher and generate a structured profile. Do not publish or spend credits yet. Run a dry test on 2 profiles. I will manually verify the accuracy of these 2 profiles against their official websites. If accuracy is above 90%, proceed with the remaining 8. Output format: A JSON object for each profile containing name, affiliation, key papers, and contact info. If data is missing, mark as 'Not Found' rather than hallucinating. Confirm with me before generating the final batch.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.