Latest news with #BroadResearch
Economic Times
6 days ago
- Business
- Economic Times
Not One, But 100: Manus's Wide Research Is a Direct Hit on the AI Elite
Broad Research is not an improvement; it's a revolution. Introduced on July 31, 2025, this new tool enables users to execute more than 100 general-purpose AI agents at once, each operating individually but in collaboration. The platform can execute enormous-scale tasks like product analysis, web scraping, report generation, and even creative content generation - all simultaneously. Manus isn't fitting pre-defined functions to these agents. All are a complete powered incarnation of its Manus AI that can do anything a user can think of, with no hierarchy or pre-established constraints. As opposed to conventional multi-agent systems, which tend to be based on strict delegation or chain-of-thought protocols, Wide Research designs every agent as an equal participant operating on its own virtual machine. This architecture is fault-tolerant and parallel-efficient - if an agent crashes, others carry on without interruption. The system loads tasks automatically into the swarm, manages asynchronous workflows, and collects results in forms usable on the spot: Excel files, HTML documents, ZIP files, and more. In live demos, Manus demonstrated how Wide Research could compare 100 sneaker styles in parallel - each agent a single shoe - delivering full product comparisons within less than five minutes. In a second test, it produced 50 graphic poster designs, exported them, and zipped them for downloading - efforts that would take days of human design time. This performance jump has caught the eyes of verticals across: e-commerce, R&D, data journalism, marketing, and university research are all potential goldmines for Wide Research's it's not about speed or automation - it's about rethinking how work gets imagined and done. Broad Research reimagines AI as a task force, not just a tool. It enables a single individual to efficiently use a virtual team of 100 tireless, always-on co-workers. Think of requesting 100 researchers to gather data on rivals, trends, pricing, and product reviews - without meetings, HR roadblocks, or payroll checks. Of course, there are qualifiers. Manus hasn't released extensive benchmarks comparing Wide Research with other platforms such as Deep Research. How resource-hungry is it, and if web-scraping is involved, whether output quality from agent 99 is as sound as agent 1 are unknowns. There are also concerns, legitimate ones, regarding hallucinations and accuracy of the data - particularly when web-scraping comes into play. Quality control will still be an added layer, at least until then. Nevertheless, the strategic message is clear as day: this is Manus into battle with the giants. Democratizing multi-agent parallelism is making a distinctive offer in a sector where monolithic intelligence has been in charge. Wide Research isn't following the herd. It's rewriting the rules. And if it delivers on scalability and reliability, Manus could have just put itself in the frame as the AI platform that achieves in minutes what others achieve in days.
Time of India
6 days ago
- Business
- Time of India
Not One, But 100: Manus's Wide Research Is a Direct Hit on the AI Elite
Live Events Broad Research is not an improvement; it's a revolution. Introduced on July 31, 2025, this new tool enables users to execute more than 100 general-purpose AI agents at once, each operating individually but in collaboration. The platform can execute enormous-scale tasks like product analysis web scraping , report generation, and even creative content generation - all simultaneously. Manus isn't fitting pre-defined functions to these agents. All are a complete powered incarnation of its Manus AI that can do anything a user can think of, with no hierarchy or pre-established opposed to conventional multi-agent systems , which tend to be based on strict delegation or chain-of-thought protocols, Wide Research designs every agent as an equal participant operating on its own virtual machine. This architecture is fault-tolerant and parallel-efficient - if an agent crashes, others carry on without interruption. The system loads tasks automatically into the swarm, manages asynchronous workflows, and collects results in forms usable on the spot: Excel files, HTML documents, ZIP files, and live demos, Manus demonstrated how Wide Research could compare 100 sneaker styles in parallel - each agent a single shoe - delivering full product comparisons within less than five minutes. In a second test, it produced 50 graphic poster designs, exported them, and zipped them for downloading - efforts that would take days of human design time. This performance jump has caught the eyes of verticals across: e-commerce, R&D, data journalism, marketing, and university research are all potential goldmines for Wide Research's it's not about speed or automation - it's about rethinking how work gets imagined and done. Broad Research reimagines AI as a task force, not just a tool. It enables a single individual to efficiently use a virtual team of 100 tireless, always-on co-workers. Think of requesting 100 researchers to gather data on rivals, trends, pricing, and product reviews - without meetings, HR roadblocks, or payroll course, there are qualifiers. Manus hasn't released extensive benchmarks comparing Wide Research with other platforms such as Deep Research . How resource-hungry is it, and if web-scraping is involved, whether output quality from agent 99 is as sound as agent 1 are unknowns. There are also concerns, legitimate ones, regarding hallucinations and accuracy of the data - particularly when web-scraping comes into play. Quality control will still be an added layer, at least until the strategic message is clear as day: this is Manus into battle with the giants. Democratizing multi-agent parallelism is making a distinctive offer in a sector where monolithic intelligence has been in charge. Wide Research isn't following the herd. It's rewriting the rules. And if it delivers on scalability and reliability, Manus could have just put itself in the frame as the AI platform that achieves in minutes what others achieve in days.
