When using generative AI for structured data collection, the language of the prompt can make a real difference. In our test with Hungarian population statistics, both Claude Opus 4.1 and Sonnet 4 produced accurate outputs when prompted in Hungarian – but with an English prompt, Sonnet 4 generated rounded figures
In this post we examine how Claude Opus 4.1 can be applied to data collection tasks through a prompt-based approach. The model accessed and structured monthly U.S. unemployment rate data from the Federal Reserve Economic Data (FRED) platform for the period January 2000 to December 2024. The results
In this post we present a comparative test of several generative AI models, focusing on their ability to retrieve official sports statistics. The task involved collecting NBA game data through a single prompt, with the expectation that the models would accurately locate, extract, and structure the requested information. While the
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.
In this short post, we demonstrate how GPT-4o with Deep Research mode can be used to retrieve and structure real-world macroeconomic data directly from authoritative sources. Using a single natural language instruction, the model successfully extracted GDP per capita (current US$) data for Hungary, Poland, Slovakia, and Czechia from 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’
Generative AI is not only useful for content creation – it is increasingly being explored for structured data collection tasks as well. With a simple prompt, the Gemini Deep Research function can collect the requested data from publicly available sources. However, not all models can reliably complete such tasks; in fact,
