In this post we explore how Manus AI can be used to collect official housing price index data from the U.S. Census Bureau. The task focused on the Single-Family Houses Sold series, requesting annual figures to be gathered and organised into a clean, structured dataset suitable for further research.
We tested the new OpenAI Agent to assess its usefulness in academic research tasks, comparing it directly with Manus.ai and Perplexity’s research mode. Our aim was to evaluate how effectively each tool finds relevant scholarly and policy sources, navigates restricted websites (including captchas and Cloudflare protections), and allows
In this post, we examine the performance of Manus’s newly updated slide generation tool when applied to a peer-reviewed scientific article. The developers claim recent improvements focused on enhancing the tool’s ability to support academic communication. To test these capabilities, we selected a published study in political science
Can a large language model accurately solve a university-level microeconomics exercise on health insurance? We tested Manus AI on a multi-part problem involving demand curves, list prices, out-of-pocket prices, and the calculation of social loss under various insurance schemes – including full insurance, coinsurance, and copayment plans. Not only did the
Manus is a general-purpose AI agent designed to carry out multi-step tasks on behalf of users. It promises to understand instructions, break down complex goals, and deliver results—whether that means writing code, automating research workflows, or, in our case, retrieving public data from the web. Touted as the world’
